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Topic Editors

Faculty of Food Engineering, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
Analytical Chemistry, Nutrition and Food Sciences Department, University of Alicante, P.O. Box 99, E-03080 Alicante, Spain
Faculty of Food Engineering, Stefan cel Mare University of Suceava, 720229, Suceava, Romania

Advances in Analysis of Flavors and Fragrances: Chemistry, Properties and Applications in Food Quality Improvement

Abstract submission deadline
31 March 2025
Manuscript submission deadline
31 May 2025
Viewed by
40415

Topic Information

Dear Colleagues,

Nowadays, consumers are more attracted to the quality and effectiveness of products that contain natural ingredients. Both flavors and fragrances play an essential role in choosing a food, cosmetic, health, or homecare product. Meanwhile, the flavor and fragrance market was valued at USD 29 billion in 2021 and it is expected to grow to USD 37.3 billion by 2026. Natural flavours are derived from plants (herbs, spices, seeds, fruits, and vegetables), animals (meat, seafood, poultry, eggs, and dairy products), and fermented products, and they are then isolated and concentrated via different methods (distillation, extraction, or cold pressing). Therefore, there is a growing interest in terms of examining how consumers perceive the sensory attributes of food products. The current topic aims to provide an opportunity for researchers to publish their results concerning the analysis of flavors and fragrances in the most suitable journal, thus offering great visibility for their research. The topic welcomes manuscripts regarding any aspects of flavors and fragrances in relation to their chemistry, synthesis mechanisms, identification, stability, encapsulation, and their application in the food industry and other environments.

Dr. Ana Leahu
Prof. Dr. Marìa Soledad Prats Moya
Dr. Cristina Ghinea
Topic Editors

Keywords

  • natural flavors
  • natural fragrances
  • analytical techniques
  • food products
  • chemical compounds
  • volatile organic compounds
  • bioaccessibility/bioavailability
  • processing method
  • sensory analysis
  • consumption preferences

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Beverages
beverages
3.0 6.1 2015 20.6 Days CHF 1600 Submit
Fermentation
fermentation
3.3 3.8 2015 15.7 Days CHF 2100 Submit
Foods
foods
4.7 7.4 2012 14.3 Days CHF 2900 Submit
Molecules
molecules
4.2 7.4 1996 15.1 Days CHF 2700 Submit
Separations
separations
2.5 3.0 2014 12.4 Days CHF 2600 Submit
Chemosensors
chemosensors
3.7 5.0 2013 17.1 Days CHF 2700 Submit

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Published Papers (29 papers)

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17 pages, 590 KiB  
Article
Effects of Aging in Wood Casks on Anthocyanins Compositions, Volatile Compounds, Colorimetric Properties, and Sensory Profile of Jerez Vinegars
by Reyhan Selin Uysal
Fermentation 2024, 10(9), 469; https://doi.org/10.3390/fermentation10090469 - 10 Sep 2024
Viewed by 440
Abstract
The Jerez (Sherry) vinegars, including Vinagre de Jerez, Reserva, and Gran Reserva, are crafted from Sherry wines and are protected under the Denomination of Origin in Spain. The aim of this study was to (i) characterize the physicochemical properties and composition; [...] Read more.
The Jerez (Sherry) vinegars, including Vinagre de Jerez, Reserva, and Gran Reserva, are crafted from Sherry wines and are protected under the Denomination of Origin in Spain. The aim of this study was to (i) characterize the physicochemical properties and composition; (ii) investigate the impact of the aging process on color properties, phenolics, volatile compounds, and sensorial profiles; and (iii) find a marker for tracing the authenticity of non-aged (Apto) and aged Jerez vinegars. The phenolic components were identified through LC-MS/MS, whereas the volatile compounds were examined using the GC-MS/MS technique. As the aging progressed, a decrease was observed in the levels of flavonol and phenolic acids, with anthocyanin components being undetectable in non-aged and aged samples. In the Gran Reserva variety, 2-methylbutyl acetate, acetic acid, and ethanol emerged as the predominant volatile substances. The presence of oaklactone and ethyl butanoate components served as marker substances to authenticate the Gran Reserva. Additionally, alterations in color properties were noted, marked by a decrease in yellow content and an increase in the red component depending on aging. Furthermore, novel sensory descriptors, such as vanilla, clove, woody, and nutty notes, and winy character emerged in the samples with prolonged aging. Full article
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<p>Total concentration of chemical families of esters, acids, alcohols, aldehydes, ketones, lactones, phenolics, and others found in <span class="html-italic">Jerez</span> vinegar samples.</p>
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22 pages, 5129 KiB  
Article
Characterization of Key Aroma Compounds of Soy Sauce-like Aroma Produced in Ferment of Soybeans by Bacillus subtilis BJ3-2
by Qibo Tan, Yongjun Wu, Cen Li, Jing Jin, Lincheng Zhang, Shuoqiu Tong, Zhaofeng Chen, Li Ran, Lu Huang and Zeyan Zuo
Foods 2024, 13(17), 2731; https://doi.org/10.3390/foods13172731 - 28 Aug 2024
Viewed by 369
Abstract
Fermented soybeans are popular among many for their rich soy sauce-like aroma. However, the precise composition of this aroma remains elusive, with key aroma compounds unidentified. In this study, we screened the candidate genes ilvA and serA in BJ3-2 based on previous multi-omics [...] Read more.
Fermented soybeans are popular among many for their rich soy sauce-like aroma. However, the precise composition of this aroma remains elusive, with key aroma compounds unidentified. In this study, we screened the candidate genes ilvA and serA in BJ3-2 based on previous multi-omics data, and we constructed three mutant strains, BJ3-2-ΔserA, BJ3-2-ΔilvA, and BJ3-2-ΔserAΔilvA, using homologous recombination to fermented soybeans with varying intensities of soy sauce-like aroma. Our objective was to analyze samples that exhibited different aroma intensities resulting from the fermented soybeans of BJ3-2 and its mutant strains, thereby exploring the key flavor compounds influencing soy sauce-like aroma as well analyzing the effects of ilvA and serA on soy sauce-like aroma. We employed quantitative descriptive sensory analysis (QDA), gas chromatography–olfactometry–mass spectrometry (GC-O-MS), relative odor activity value analysis (rOAV), principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), and partial least squares regression analysis (PLSR). QDA revealed the predominant soy sauce-like aroma profile of roasted and smoky aromas. GC-MS detected 99 volatile components, predominantly pyrazines and ketones, across the four samples, each showing varying concentrations. Based on rOAV (>1) and GC-O, 12 compounds emerged as primary contributors to soy sauce-like aroma. PCA and OPLS-DA were instrumental in discerning aroma differences among the samples, identifying five compounds with VIP > 1 as key marker compounds influencing soy sauce-like aroma intensity levels. Differential analyses of key aroma compounds indicated that the mutant strains of ilvA and serA affected soy sauce-like aroma mainly by affecting pyrazines. PLSR analysis indicated that roasted and smoky aromas were the two most important sensory attributes of soy sauce-like aroma, with pyrazines associated with roasted aroma and guaiacol associated with smoky aroma. In addition, substances positively correlated with the intensity of soy sauce-like aroma were verified by additional experiments. This study enhances our understanding of the characteristic flavor compounds in soy sauce-like aroma ferments, provides new perspectives for analyzing the molecular mechanisms of soy sauce-like aroma formation, and provides a theoretical framework for the targeted enhancement of soy sauce-like aroma in various foods. Full article
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<p>RT-qPCR verified the target gene expression. Using SPSS version 26.0, the data were analyzed using one-way ANOVA and then least significant difference (LSD) to assess the significance of mean differences. ** shows significant differences (<span class="html-italic">p</span> &lt; 0.05). The results were calculated by the 2<sup>−ΔΔCT</sup> method.</p>
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<p>Colony morphology and growth curves. (<b>A</b>–<b>D</b>) Colony morphology of BJ3-2, BJ3-<span class="html-italic">2ΔilvA</span>, BJ3-2<span class="html-italic">ΔserA</span>, and BJ3-2<span class="html-italic">ΔserAΔilvA</span>; (<b>E</b>–<b>H</b>) Gram staining of BJ3-2, BJ3-2<span class="html-italic">ΔilvA</span>, BJ3-2<span class="html-italic">ΔserA</span>, and BJ3-2<span class="html-italic">ΔserAΔilvA</span>; (<b>I</b>) BJ3-2 Growth curves of BJ3-2<span class="html-italic">ΔilvA</span>, BJ3-2<span class="html-italic">ΔserA</span>, and BJ3-2<span class="html-italic">ΔserAΔilvA</span>.</p>
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<p>Sensory characteristic of samples S1, S2, S3, and S4 by QDA (S1, S2, S3, and S4 are samples fermented by <span class="html-italic">Bacillus subtilis</span> BJ3-2, BJ3-2Δ<span class="html-italic">ilvA</span>, BJ3-2<span class="html-italic">ΔserA</span>, and BJ3-2<span class="html-italic">ΔserAΔilvA</span>, respectively).</p>
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<p>Hierarchical clustering and thermogram visualization of volatile compounds for four samples. High concentrations are represented in red, while low concentrations are represented in blue. A and B: According to the cluster analysis of the heat map, all the compounds detected in the four samples were clustered into two groups, group A and group B respectively.</p>
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<p>Analysis of aroma-active compounds in soy sauce by rOAV and GC-O.</p>
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<p>PCA and OPLS-DA analyses were performed on four samples S1–S4 with different sauce intensities. (<b>A</b>) PCA score plots; (<b>B</b>) PCA loading column plot; (<b>C</b>) OPLS-DA score plots; (<b>D</b>) 200 permutation test cross-validation plots; and (<b>E</b>) VIP values, where compounds with a VIP &gt; 1 are highlighted in red, indicating their significance.</p>
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<p>An overview of the variation found in the mean data from the partial least-squares regression (PLSR) correlation loading plot of sensory attributes and key aroma compounds. Ellipses represent r<sup>2</sup> = 0.5 and 1.0 ((A) 2,3-butanedione; (B) 2,3,5-trimethylpyrazine; (C) 3-hydroxy-2-butanone; (D) 2,5-dimethylpyrazine; (E) 2,3-dimethylpyrazine; (F) 2,3,5-trimethylpyrazine; (G) 1-octen-3-ol; (H) 3-ethyl-2,5-dimethylpyrazine; (I) 2,3,5,6-tetramethylpyrazine; (J) guaiacol; (K) malic acid).</p>
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<p>Regression coefficients and significance indicators of sensory attributes derived from PLS1: sauce aroma.</p>
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<p>Changes in the content of key aroma compounds among the four fermented soybean samples with BJ3-2, BJ3-2<span class="html-italic">ΔilvA</span>, BJ3-2<span class="html-italic">ΔserA</span>, and BJ3-2<span class="html-italic">ΔilvAΔserA</span>. Significant differences between groups are indicated by letters a, b, d, c.</p>
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<p>Aroma characteristics of S1 and additive models. (The blue line is the aroma profile of the S1 sample, and the red line is the aroma profile of the addition model).</p>
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18 pages, 1031 KiB  
Article
Chemical Characterization of Cider Produced in Hardanger—From Juice to Finished Cider
by Ingunn Øvsthus, Mitja Martelanc, Alen Albreht, Tatjana Radovanović Vukajlović, Urban Česnik and Branka Mozetič Vodopivec
Beverages 2024, 10(3), 73; https://doi.org/10.3390/beverages10030073 - 13 Aug 2024
Viewed by 700
Abstract
Our investigation delves into the previously uncharted territory of cider composition from Norway. This study aimed to obtain an overview of the qualitative and quantitative compositions of general chemical parameters, polyphenols (individual and total expressed as gallic acids equivalents), selected esters, and selected [...] Read more.
Our investigation delves into the previously uncharted territory of cider composition from Norway. This study aimed to obtain an overview of the qualitative and quantitative compositions of general chemical parameters, polyphenols (individual and total expressed as gallic acids equivalents), selected esters, and selected C6-alcohols in ciders with the PDO label Cider from Hardanger. In total, 45 juice and cider samples from the fermentation process were collected from 10 cider producers in Hardanger in 2019, 2020, and 2021. Individual sugars, acids, ethanol, and 13 individual phenols were quantified using HPLC-UV/RI. Seven ethyl esters of fatty acids, four ethyl esters of branched fatty acids, ten acetate esters, two ethyl esters of hydroxycinnamic acids, and four C6-alcohols were quantified using HS-SPME-GC-MS. For samples of single cultivars (‘Aroma’, ‘Discovery’, ‘Gravenstein’, and ‘Summerred’), the sum of the measured individual polyphenols in the samples ranges, on average, from 79 to 289 mg L−1 (the lowest for ‘Summerred’ and highest for ‘Discovery’ and ‘Gravenstein’). Chlorogenic acid was the most abundant polyphenol in all samples. Ethyl butyrate, ethyl hexanoate, ethyl octanoate, ethyl decanoate, ethyl isobutyrate, ethyl 2-methylbutyrate, isoamyl acetate, and hexanol were present at concentrations above the odour threshold and contributed to the fruity flavour of the Cider from Hardanger. Full article
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<p>Principal component analysis loading plot (<b>A</b>) and score plot for cultivars (<b>B</b>) for measured esters and C6-alcohols in the collected samples in 2019, 2020, and 2021 for ciders. Aroma compounds in bold letters are in concentrations over the threshold limit.</p>
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16 pages, 4516 KiB  
Article
Characterization of the Key Aroma Compounds of Soybean Flavor in Fermented Soybeans with Bacillus subtilis BJ3-2 by Gene Knockout, Gas Chromatography–Olfactometry–Mass Spectrometry, and Aroma Addition Experiments
by Zhaofeng Chen, Yongjun Wu, Shuoqiu Tong, Jing Jin, Lincheng Zhang, Chen Li, Qibo Tan, Feng Wen and Yi Tao
Fermentation 2024, 10(8), 409; https://doi.org/10.3390/fermentation10080409 - 8 Aug 2024
Viewed by 537
Abstract
Soybean flavor is considered to be essential for the aroma quality of fermented soybeans (FS) with Bacillus subtilis BJ3-2 (BJ3-2) at 37 °C. However, the key aroma compounds of the soybean flavor must be further elucidated. In this study, two candidate genes ( [...] Read more.
Soybean flavor is considered to be essential for the aroma quality of fermented soybeans (FS) with Bacillus subtilis BJ3-2 (BJ3-2) at 37 °C. However, the key aroma compounds of the soybean flavor must be further elucidated. In this study, two candidate genes (sdaAA and katX) of BJ3-2 involved in the control of soybean flavor production were screened using prior multi-omics data. FS samples with BJ3-2, BJ3-2ΔsdaAA, BJ3-2ΔkatX, and BJ3-2ΔsdaAAΔkatX were analyzed by quantitative descriptive sensory analysis (QDA), gas chromatography–olfactometry–mass spectrometry (GC-O-MS), relative odor activity values (ROAV), and aroma addition experiments. The QDA revealed that the aroma profile of the soybean flavor in FS consisted of “sweaty”, “smoky”, “beany”, “roasted”, and “sweet” attributes. A total of 20 aroma-active compounds were detected, and 13 of them with ROAV > 1 were identified as key aroma compounds. Moreover, aroma addition experiments were conducted to further confirm the key aroma compounds of soybean flavor. Among them, 2-methylbutyric acid, 2,3,5-trimethylpyrazine, and guaiacol contributed higher aroma intensity values and ROAV, resulting in “sweaty”, “roasted”, and “smoky” attributes of soybean flavor in FS, respectively, while 1-octen-3-ol was associated with the “beany” attribute. These findings provide novel insights into the aroma attributes of soybean flavor in FS and a new strategy for revealing the key aroma compounds in fermented foods. Full article
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<p>RT-qPCR verification of the expressions <span class="html-italic">sdaAA</span> and <span class="html-italic">katX</span>.</p>
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<p>Colony morphology and growth curves of BJ3-2, BJ3-2Δs<span class="html-italic">daAA</span>, BJ3-2Δ<span class="html-italic">katX</span>, and BJ3-2Δs<span class="html-italic">daAA</span>Δ<span class="html-italic">katX</span>. (<b>A</b>) Colony morphology of BJ3-2. (<b>B</b>) Gram staining of BJ3-2. (<b>C</b>) Colony morphology of BJ3-2Δs<span class="html-italic">daAA</span>Δ<span class="html-italic">katX</span>. (<b>D</b>) Gram staining of BJ3-2Δs<span class="html-italic">daAA</span>Δ<span class="html-italic">katX</span>. (<b>E</b>) Colony morphology of BJ3-2Δ<span class="html-italic">sdaAA</span>. (<b>F</b>) Gram staining of BJ3-2Δs<span class="html-italic">daAA</span>. (<b>G</b>) Colony morphology of BJ3-2Δ<span class="html-italic">katX</span>. (<b>H</b>) Gram staining of BJ3-2Δ<span class="html-italic">katX</span>. (<b>I</b>) Growth curves of BJ3-2, BJ3-2Δ<span class="html-italic">sdaAA</span>, BJ3-2Δ<span class="html-italic">katX</span>, and BJ3-2Δ<span class="html-italic">sdaAA</span>Δ<span class="html-italic">katX</span>.</p>
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<p>Aroma profile analysis of soybean flavor in fermented soybean samples with BJ3-2, BJ3-2Δ<span class="html-italic">sdaAA</span>, BJ3-2Δ<span class="html-italic">katX,</span> and BJ3-2Δ<span class="html-italic">sdaAA</span>Δ<span class="html-italic">katX</span>. (<b>A</b>) Fermented soybean samples with BJ3-2, BJ3-2Δ<span class="html-italic">sdaAA</span>, BJ3-2Δ<span class="html-italic">katX</span>, and BJ3-2Δ<span class="html-italic">sdaAA</span>Δ<span class="html-italic">katX</span> at 37 °C. (<b>B</b>) Aroma profile analysis of soybean flavor in fermented soybean samples with BJ3-2, BJ3-2Δ<span class="html-italic">sdaAA</span>, BJ3-2Δ<span class="html-italic">katX,</span> and BJ3-2Δ<span class="html-italic">sdaAA</span>Δ<span class="html-italic">katX</span> via QDA (panel number = 10).</p>
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<p>Information on thirteen key aroma compounds from GC-O (AI) combined with ROAV. <sup>a</sup> Thirteen key aroma compounds from GC-O combined with ROAV; <sup>b</sup> aroma characteristics of key aroma compounds; <sup>c</sup> odor thresholds of compounds in water reported in the literature.</p>
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<p>The correlation loading plots between the concentration of the thirteen key aroma compounds (X matrix) and scores of sensory attributes (Y matrix) in FSs with BJ3-2, BJ3-2Δ<span class="html-italic">sdaAA</span>, BJ3-2Δ<span class="html-italic">katX,</span> and BJ3-2Δ<span class="html-italic">sdaAA</span>Δ<span class="html-italic">katX</span>; the validation method is full cross-validation; ellipses indicate r<sup>2</sup> = 0.5 and 1.0, respectively. Numbers indicate the following compounds: 1, 2-ethylfuran; 2, 2,3-butanedione; 3, methyl 2-methylbutyrate; 4, 2-heptanone; 5, 2,4,5-trimethyloxazole; 6, 2-pentylfuran; 7, 3-octanone; 8, 2,5-dimethylpyrazine; 9, 2,3,5-trimethylpyrazine; 10, 1-octen-3-ol; 11, 3-ethyl-2,5-dimethylpyrazine; 12, 2-methylbutyric acid; 13, guaiacol.</p>
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<p>Changes in content of key aroma compounds among the four fermented soybean samples with BJ3-2, BJ3-2Δ<span class="html-italic">sdaAA</span>, BJ3-2Δ<span class="html-italic">katX</span>, and BJ3-2Δ<span class="html-italic">sdaAA</span>Δ<span class="html-italic">katX</span>. Significant differences between groups are indicated by letters a, b, c.</p>
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<p>Aroma profile of soybean flavor in fermented soybean samples with BJ3-2 and BJ3-2Δ<span class="html-italic">sdaAA</span>Δ<span class="html-italic">katX</span> after addition of aroma compounds (panel number = 10).</p>
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24 pages, 2509 KiB  
Article
Antioxidant-Enhanced Alginate Beads for Stabilizing Rapeseed Oil: Utilizing Extracts from Post-Distillation Waste Residues of Rosemary
by Petroula Tsitlakidou, Despina Kamplioni, Anastasia Kyriakoudi, Maria Irakli, Costas G. Biliaderis and Ioannis Mourtzinos
Foods 2024, 13(13), 2142; https://doi.org/10.3390/foods13132142 - 5 Jul 2024
Viewed by 649
Abstract
An eco-friendly extraction process of polyphenols from conventional dried rosemary tissues and post-distillation waste residues was applied using β-cyclodextrin as a co-solvent. The aqueous extracts were characterized by measuring the total phenolic content, and their phenolic compounds were identified and quantified by LC-MS. [...] Read more.
An eco-friendly extraction process of polyphenols from conventional dried rosemary tissues and post-distillation waste residues was applied using β-cyclodextrin as a co-solvent. The aqueous extracts were characterized by measuring the total phenolic content, and their phenolic compounds were identified and quantified by LC-MS. Sodium alginate solutions (2% w/w) with/without incorporation of rosemary aqueous extracts were prepared and used for the preparation of O/W emulsions containing 20% rapeseed oil and an 80% water phase. Hydrogel beads were then stored at 20 °C for 28 days. The quality of encapsulated oil during storage was evaluated by measurements of the peroxide value, p-anisidine value, free fatty acids, total oxidation value, and fatty acid composition, whilst the aqueous phase of the beads was analyzed for its total extractable phenolic content (TEPC). The experimental findings indicate that the incorporation of aqueous extracts from post-distillation rosemary residues in emulsion-filled hydrogel beads resulted in the lowest level of oxidation products in the encapsulated rapeseed oil (PV = 10.61 ± 0.02 meq/Kg oil, p-AnV = 4.41 ± 0.09, and FFA = 0.14 ± 0.00, expressed as % oleic acid content), indicating an acceptable oil quality until the end of the storage period. Full article
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<p>Flow diagram describing the experimental procedure.</p>
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<p>Total ion chromatograms of the phenolic compounds in aqueous extracts from raw plant tissues and post-distillation residues of rosemary. (1: quinic acid; 2: neochlorogenic acid; 3: vicenin-2; 4: caffeic acid; 5: luteolin-7-O-rutinoside; 6: apigenin-7-O-glucoside; 7: hesperidin; 8: rosmarinic acid; 9: salvianolic acid B; 10: carnosol; and 11: carnosic acid).</p>
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<p>Peroxide values (<b>A</b>), p-Anisidine values (<b>B</b>), and TOTOX values (<b>C</b>) of encapsulated rapeseed oils (emulsified preparations in alginate beads) and free rapeseed oil (RPSO) when stored at 20 °C for 28 days. Data are expressed as means ± standard deviation; different letters above bars for the data sets of each specified storage time indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Free fatty acid (FFA) of encapsulated rapeseed oils (emulsified preparations in alginate beads) and free rapeseed oil (RPSO) when stored at 20 °C for 28 days. Data are expressed as means (wt. % of the oil) ± standard deviation; different letters above bars of each cluster indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Total phenolic content (TPC) of the aqueous phase extracted from the alginate beads when stored at 20 °C for 28 days. Data are expressed as means ± standard deviation; different letters above bars of each cluster indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Total phenolic content (TPC) in aqueous extracts of dried ground raw rosemary (R) and dried ground post-distillation residue (DR). Data are expressed as means ± standard deviation; measurements were performed in triplicate.</p>
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<p>Illustration of the mould used for the preparation of the O/W emulsion alginate beads.</p>
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12 pages, 715 KiB  
Article
The Volatile Compounds Change during Fermentation of Saccharina japonica Seedling
by Jingni Gong, Xiaolin Wang, Hui Ni and Yonghua Wang
Foods 2024, 13(13), 1992; https://doi.org/10.3390/foods13131992 - 24 Jun 2024
Viewed by 823
Abstract
It is important to eliminate the fishy odor and improve the aroma quality of seafood. In this study, the Saccharina japonica (S. japonica) seedling, which is a new food material, was investigated for the effects of fermentation with Saccharomyces cerevisiae ( [...] Read more.
It is important to eliminate the fishy odor and improve the aroma quality of seafood. In this study, the Saccharina japonica (S. japonica) seedling, which is a new food material, was investigated for the effects of fermentation with Saccharomyces cerevisiae (S. cerevisiae) through sensory evaluation, GC–MS, and odor activity value (OAV) analysis. GC–MS analysis revealed the presence of 43 volatile compounds in the unfermented S. japonica seedling, with 1-octen-3-ol, hexanal, and trans-2,4-decadienal identified as the main contributors to its fishy odor. After fermentation with S. cerevisiae, 26 volatile compounds were identified in the S. japonica seedling. Notably, the major malodorous fish compounds, including 1-octen-3-ol, hexanal and trans-2,4-decadienal, were no longer present. The results indicate that fermentation with S. cerevisiae is an effective method for removing fishy malodor compounds and enhancing the volatile components with fruity, sweet, green, and floral notes in the Saccharina japonica seedling. This process facilitates the elimination of fishy malodor and enhance the fruity, sweet, green, and floral notes of S. japonica seeding and other seaweeds. Full article
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Graphical abstract

Graphical abstract
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<p>A spider diagram illustrating the sensory characteristics of the <span class="html-italic">S. japonica</span> seedling before and after fermentation (SJS refers to the <span class="html-italic">S. japonica</span> seedling without fermentation. FSJS is the <span class="html-italic">S. japonica</span> seedling after fermentation. 0 refers to unrecognized, 2 refers to can be recognized, 4 refers to weak, 6 refers to middle, 8 refers to strong, 10 refers to very strong).</p>
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<p>Volatile compound concentrations in <span class="html-italic">S. japonica</span> seedling before and after fermentation by <span class="html-italic">S. cerevisiae</span>. SJS means unfermented <span class="html-italic">S. japonica</span> seedling; FSJS means fermented <span class="html-italic">S. japonica</span> seedling.</p>
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<p>OAVs of the volatile compounds of the <span class="html-italic">S. japonica</span> seedling before and after <span class="html-italic">S. cerevisiae</span> fermentation. SJS means unfermented <span class="html-italic">S. japonica</span> seedling; FSJS means fermented <span class="html-italic">S. japonica</span> seedling (A refers to the OAV value of volatile compounds relate with sensory properties; B refers to the OAV value of alcohols, aldehydes, ketones, alkenes and esters).</p>
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12 pages, 1490 KiB  
Article
GC-MS Combined with Proteomic Analysis of Volatile Compounds and Formation Mechanisms in Green Teas with Different Aroma Types
by Xiaojun Niu, Cun Ao, Jizhong Yu, Yun Zhao and Haitao Huang
Foods 2024, 13(12), 1848; https://doi.org/10.3390/foods13121848 - 13 Jun 2024
Viewed by 872
Abstract
Aroma is one of the key factors for evaluating the quality of green tea. A tender aroma (NX) and floral-like aroma (HX) are two types of high-quality aroma of green tea. In this work, the different aroma types of baked green tea were [...] Read more.
Aroma is one of the key factors for evaluating the quality of green tea. A tender aroma (NX) and floral-like aroma (HX) are two types of high-quality aroma of green tea. In this work, the different aroma types of baked green tea were classified by sensory evaluation. Then, seven tea samples with a typical tender or floral-like aroma were selected for further volatile component analysis by GC-MS. A total of 43 aroma compounds were identified in two different aroma types of baked green tea samples. The PCA showed that linalool, geraniol, 3-hexenyl butyrate, and 3-hexenyl hexanoate were the major volatiles contributing to the HX. On the other hand, most of the alcohol volatiles, such as 1-octanol, 1-octen-3-ol, 1-dodecanol, 1-hexadecanol, phenylethyl alcohol, benzyl alcohol, aldehydes and some hydrocarbons contributed more to the NX. In addition, the chemical composition analysis showed that the content of free amino acids was higher in NX green tea samples, while the content of catechins was relatively higher in HX tea samples. A proteomic analysis revealed that most of the enzymes involved in VPBs pathways, such as phenylalanine ammonialyase, peroxidase, and shikimate-O-hydroxycinnamoyl transferase, were more abundant in NX than in HX tea samples. These results laid a foundation for the aroma formation mechanism of different aroma types of baked green tea and provided some theoretical guidance for the breeding of specific aroma varieties. Full article
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<p>Analysis of aroma components in different aroma-type tea samples. (<b>A</b>) Proportion of aroma components in NX tea samples. (<b>B</b>) Proportion of aroma components in HX tea samples. (<b>C</b>) The relative content of aroma components in two different aroma-types of tea samples. * Indicates significant difference (<span class="html-italic">p</span> &lt; 0.05) in <span class="html-italic">t</span>-test. (<b>D</b>) Principal component analysis of aroma components in two different aroma-types of tea samples. The number represents the code of aroma components.</p>
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<p>The relative content of representative chemical compositions in two different aroma types of baked green tea samples. * and ** indicate significant difference (<span class="html-italic">p</span> &lt; 0.05) and extremely significant difference (<span class="html-italic">p</span> &lt; 0.01) in <span class="html-italic">t</span>-test, respectively. (<b>A</b>) Total amino acid; (<b>B</b>) Total tea polyphenols; (<b>C</b>) Total catechins; (<b>D</b>) Ester-type catechins.</p>
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<p>The number of proteins identified in the study. (<b>A</b>) The number of proteins identified in different aroma types of tea samples. (<b>B</b>) DEPs as a volcano plot in different aroma types of tea samples.</p>
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<p>GO (<b>A</b>) and KEGG (<b>B</b>) analysis of differentially expressed proteins. * and ** indicate significant difference (<span class="html-italic">p</span> &lt; 0.05) and extremely significant difference (<span class="html-italic">p</span> &lt; 0.01), respectively.</p>
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15 pages, 2237 KiB  
Article
Revealing the Mechanism of Aroma Production Driven by High Salt Stress in Trichomonascus ciferrii WLW
by Fangying Xian, Lin Yang, Huaqing Ye, Jinlin Xu, Xiaoping Yue and Xiaolan Wang
Foods 2024, 13(11), 1593; https://doi.org/10.3390/foods13111593 - 21 May 2024
Viewed by 728
Abstract
Douchi is a Chinese traditional fermented food with a unique flavor. Methyl anthranilate (MA) plays an important role in formation of this flavor. However, the complicated relationship between the MA formation and the metabolic mechanism of the key functional microorganisms remains unclear. Here, [...] Read more.
Douchi is a Chinese traditional fermented food with a unique flavor. Methyl anthranilate (MA) plays an important role in formation of this flavor. However, the complicated relationship between the MA formation and the metabolic mechanism of the key functional microorganisms remains unclear. Here, we elucidated the response mechanism of aroma production driven by high salt stress in Trichomonascus ciferrii WLW (T. ciferrii WLW), which originates from the douchi fermentation process. The highest production of MA was obtained in a 10% NaCl environment. The enhanced expression of the key enzyme genes of the pentose phosphate pathway and shikimic acid pathway directed carbon flow toward aromatic amino acid synthesis and helped sustain an increased expression of metK to synthesize a large amount of the methyl donor S-adenosylmethionine, which promoted methyl anthranilate yield. This provides a theoretical basis for in-depth research on the applications of the flavor formation mechanisms of fermented foods. Full article
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Graphical abstract

Graphical abstract
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<p>Effect of salt concentration on the ability of <span class="html-italic">T. ciferrii</span> WLW to survive and synthesize MA. (<b>A</b>) Curves of OD<sub>600</sub> of <span class="html-italic">T. ciferrii</span> WLW in liquid medium at 0–25% (<span class="html-italic">w</span>/<span class="html-italic">v</span>) salinity; (<b>B</b>) changes in <span class="html-italic">T. ciferrii</span> WLW survival rate at 0–15% (<span class="html-italic">w</span>/<span class="html-italic">v</span>) salinity on solid medium plates (different letters above the columns indicate significant differences between groups, <span class="html-italic">p</span> &lt; 0.05); (<b>C</b>) MA production curve of MA synthesized by <span class="html-italic">T. ciferrii</span> WLW in a salt-free state; (<b>D</b>) the change in aroma production of <span class="html-italic">T. ciferrii</span> WLW is in the range of 0%–16% (<span class="html-italic">w</span>/<span class="html-italic">v</span>) salinity. (D4–D6 represent Day 4–Day 6, respectively, and the value is mean standard deviation, <span class="html-italic">n</span> = 3. ** represents the level of significant difference at <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Trends in aroma production and genetic changes in <span class="html-italic">T. ciferrii</span> WLW under 10% salinity. (<b>A</b>) Aroma production curve of <span class="html-italic">T. ciferrii</span> WLW under 10% salinity; (<b>B</b>) number of significant DEGs for different days under salt stress. (** represents the level of significant difference at <span class="html-italic">p</span> &lt; 0.01. “T2/C2”, “T4/D4”, and “T6/C6” represent data on days 2/4/6 for the treatment and control groups, respectively).</p>
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<p>Days 2–6 of DEG counting and results of common DEG annotations and enrichment based on GO database. (<b>A</b>) Venn diagram of DEGs at Days 2–6. (<b>B</b>) Results of common significant DEGs at Days 2–6, annotated based on the GO database. (<b>C</b>) Bubble diagram of enrichment analysis of common DEGs based on GO database. Only terms with significant enrichment (Padj &lt; 0.05) are shown. (<b>D</b>) Log<sub>2</sub>FC for 10 representative genes at Days 2–6.</p>
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<p>GO-enriched bubble plots of ion-homeostasis-related genes (only the first 20 significantly enriched terms are shown).</p>
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<p>Bubble map of fold-change order of transcription factors. (<b>A</b>–<b>C</b>) correspond to the differential gene ordering of transcription factors on Days 2, 4, and 6, respectively. (Note: Horizontal coordinates indicate gene sequencing based on differential ploidy, and vertical coordinates indicate Log<sub>2</sub>FC).</p>
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<p>Expression of pathways related to MA synthesis. GLC: glucose; G6P: glucose-6-phosphate; F6P: fructose-6-phosphate; G3P: glyceraldehyde-3-phosphate; PEP: phosphoenolpyruvate; PYR: py-ruvate; TCA cycle: tricarboxylic acid cycle; E4P: Erythritol-4-phosphate; DAHP: 3deoxy-α-arabinoheptulosonate-7-phosphate; DHQ: 3-dehydroquinate; DHS: 3- dehydroshikimic acid; SA: shikimic acid; S3P: shikimate-3-phosphate; EPSP: 3-enol pyruvylshhikimate-5-phosohate; CHO: chorismite; ANT: anthranilate; MA: methyl anthranilate; PRAA: N-(5′-phosphoribosyl) anthranilate; Trp: tryptophan; Cit: citrate; cisAc: cis-Aconitate; isoCit: isocitrate; α-Ket: α-ketoglutarate; Suc CoA: succinyl CoA; Suc: succinate; Fum: fumarate; Mal: malate; Oaa: oxalo-acetate. (Note: Solid lines indicate one-step reactions, while dashed lines indicate multi-step reactions; the abbreviation ‘Sig’ is used to indicate the significance of genes).</p>
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16 pages, 4423 KiB  
Review
Based on CiteSpace Insights into Illicium verum Hook. f. Current Hotspots and Emerging Trends and China Resources Distribution
by Zhoujian He, Jie Huan, Meng Ye, Dan Liang, Yongfei Wu, Wenjun Li, Xiao Gong and Liqiong Jiang
Foods 2024, 13(10), 1510; https://doi.org/10.3390/foods13101510 - 13 May 2024
Viewed by 1231
Abstract
Illicium verum Hook. f. is a globally significant spice, which is recognized in China as a food-medicine homolog and extensively utilized across the pharmaceutical, food, and spice industries. China boasts the world’s leading resources of I. verum, yet its comprehensive utilization remains [...] Read more.
Illicium verum Hook. f. is a globally significant spice, which is recognized in China as a food-medicine homolog and extensively utilized across the pharmaceutical, food, and spice industries. China boasts the world’s leading resources of I. verum, yet its comprehensive utilization remains relatively underexplored. Through a resource survey of I. verum and the application of bibliometric visualization using CiteSpace, this study analyzed 324 papers published in the Web of Science Core Collection (WOSCC) from 1962 to 2023 and 353 core documents from China’s three major databases (CNKI, Wanfang Database, and VIP Database). I. verum from Guangxi province towards various southern provinces in China, with autumn fruits exhibited superior quality and market value over their spring fruits. Literature in WOSCC emerged earlier, with a research emphasis on food science technology and pharmacology pharmacy domains. WOSCC research on I. verum could be divided into two phases: an embryonic period (1962–2001) and a growth period (2002–2023), showing an overall upward trend in publication. The three major Chinese databases contain a larger number of publications, with a focus on the food sector, which could be categorized into three stages: an embryonic period (1990–1999), a growth period (2000–2010), and a stable period (2011–2023), with an overall downward trend in publication. Both Chinese and international research hotspots converge on the medical applications of I. verum, with antioxidant bioactivity research emerging as a prevailing trend. This study delineated the resource distribution of I. verum across China and identified the research hotspots and trends both in China and internationally. The findings are beneficial for guiding researchers in swiftly establishing their research focus and furnishing decision-makers with a comprehensive reference for industry information. Full article
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<p>The process of literature analysis. CWV: CNKI (<a href="https://www.cnki.net/" target="_blank">https://www.cnki.net/</a>), Wanfan data (<a href="https://w.wanfangdata.com.cn/index.html?index=true" target="_blank">https://w.wanfangdata.com.cn/index.html?index=true</a>), and VIP data (<a href="http://www.cqvip.com/" target="_blank">http://www.cqvip.com/</a>) about publications of <span class="html-italic">I. verum</span>. WOSCC: Web of Science core collection about publications of <span class="html-italic">I. verum</span>.</p>
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<p>Distribution of <span class="html-italic">I. verum</span> in China. The green-shaded regions in the figure delineate the primary areas of <span class="html-italic">I. verum</span> cultivation in China, while the red dots indicate the distribution points of <span class="html-italic">I. verum</span> across various provinces. YN: Yunnan province; SC: Sichuan province; GZ: Guizhou province; GX: Guangxi Zhuang Autonomous Region; HN: Hunan province; GD: Guangdong province; JX: Jiangxi province; FJ: Fujian province; ZJ: Zhejiang province; TW: Taiwan province. Morphological images of <span class="html-italic">I. verum</span> fruits and flowers. The image was created using ArcGIS 10.5.</p>
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<p>Price and Morphology of Two <span class="html-italic">I. verum</span> Varieties from 2019 to 2023. (<b>A</b>) Price of <span class="html-italic">I. verum</span> in Fangchenggang and Wuzhou cities in the Guangxi Zhuang Autonomous Region. FCG_CG: spring fruits of <span class="html-italic">I. verum</span> in Fangchenggang city; FCG_DH: autumn fruits of <span class="html-italic">I. verum</span> in Fangchenggang city; WZ_CG: spring fruits of <span class="html-italic">I. verum</span> in Wuzhou city; WZ_DH: autumn fruits of <span class="html-italic">I. verum</span> in Wuzhou city. (<b>C</b>) Annual price changes for autumn fruits of <span class="html-italic">I. verum</span> in four major traditional Chinese medicine markets in China. AG: Anguo Medicine Market in Baoding; HZ: Heze Medicine Market in Bozhou; HHC: Hehuachi Medicine Market; YL: Yulin Medicine Market in Yulin. (<b>B</b>) Morphological features of autumn fruits of <span class="html-italic">I. verum</span>. (<b>D</b>) Morphological features of spring fruits of <span class="html-italic">I. verum</span>. The prices depicted in the figure represent the average annual values for each variety. Scale = 1 cm.</p>
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<p>Trends of the number of publications issued by <span class="html-italic">I. verum</span>. CWV: CNKI (<a href="https://www.cnki.net/" target="_blank">https://www.cnki.net/</a>), Wanfan data (<a href="https://w.wanfangdata.com.cn/index.html?index=true" target="_blank">https://w.wanfangdata.com.cn/index.html?index=true</a>), and VIP data (<a href="http://www.cqvip.com/" target="_blank">http://www.cqvip.com/</a>) about publications of <span class="html-italic">I. verum</span>. WOSCC: Web of Science core collection about publications of <span class="html-italic">I. verum</span>.</p>
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<p>Network visualization map of cooperation between countries and institutions. (<b>A</b>) CiteSpace network map of institutions involved in <span class="html-italic">I. verum</span>, Modularity (Q = 0.9243), Silhouette (S = 0.9903). (<b>B</b>) CiteSpace network map of countries involved in <span class="html-italic">I. verum</span>, the size of the circle indicates the number of countries that had published papers, and the yellow line indicates the cooperation between different countries. Only the top 20 countries with the number of articles were shown. Modularity (Q = 0.5526), Silhouette (S = 0.7253).</p>
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<p>Citespace network of co-cited authorship and TOP 13 authors. (<b>A</b>) co-cited authorship in the field of <span class="html-italic">I. verum</span> research. The size of the circle is positively correlated with the cited counts of the authors, and the yellow lines represent a collaboration between two authors. Modularity (Q = 0.7921), Silhouette (S = 0.8684). (<b>B</b>) TOP 13 author in the field of <span class="html-italic">I. verum</span> research. The small number of points within the module reflects the number of articles published by the author. Modularity (Q = 0.9661), Silhouette (S = 0.9828).</p>
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<p>Keyword analysis in <span class="html-italic">I. verum</span>-related study. (<b>A</b>) Visual mapping of keywords in <span class="html-italic">I. verum</span> using CiteSpace; The black lines showed the connections between them. (<b>B</b>) The keyword time zones of <span class="html-italic">I. verum</span>. Modularity (Q = 0.6483), Silhouette (S = 0.8486).</p>
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<p>Keywords with the strongest citation bursts of <span class="html-italic">I. verum</span>. (<b>A</b>) Keywords from 1962 to 2023 appear in WOSCC. (<b>B</b>) The keywords of 1990~2023 in the three major Chinese databases appear. The red part indicated that the keyword was in a high-frequency state during the time period.</p>
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15 pages, 3048 KiB  
Article
Differences in Volatile Profiles and Sensory Characteristics in Plum Spirits on a Production Scale
by Josef Balak, Lucie Drábová, Olga Maťátková, Marek Doležal, Dominik Marsík and Irena Jarosova Kolouchova
Fermentation 2024, 10(5), 235; https://doi.org/10.3390/fermentation10050235 - 27 Apr 2024
Viewed by 913
Abstract
The specific sensory properties attributed to distillates from different plum varieties are intricately linked to aromatic substances, fruit quality, and technology employed during production. This study compares four plum brandies, each made from a renowned plum variety: Presenta, Valjevka, Čačanská lepotica, and Čačanská [...] Read more.
The specific sensory properties attributed to distillates from different plum varieties are intricately linked to aromatic substances, fruit quality, and technology employed during production. This study compares four plum brandies, each made from a renowned plum variety: Presenta, Valjevka, Čačanská lepotica, and Čačanská rodná on a production scale. Analytical and sensory profiles were assessed using GC-FID, an available analytical method advantageous for monitoring industrial fruit distillate production. Between 71 and 85 analytes were detected in the distillates, with the Presenta plum distillate containing the highest number of substances. Statistically significant differences in analyte concentration between plum varieties (p < 0.05) were observed for 11 analytes. The comparison of analytical profiles and sensory evaluation revealed that a high concentration of 1-propanol, despite its negative sensory perception, significantly impacts the overall perception of a distillate, contrasting with substances like acetaldehyde and propyl acetate, which have positive sensory evaluations but lesser significance in content. Our work identified key compounds and procedures that can be used as benchmarks for production of plum brandy with positive sensory evaluation. These findings demonstrate the broad application potential of GC-FID in fruit distillate production as an independent tool for aromatic profile assessment and quality control. Full article
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<p>Mean relative contribution (%) of major compounds in plum brandies produced from Presenta, Valjevka, Čačanská lepotica, and Čačanská rodná plum varieties.</p>
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<p>Mean relative contribution (%) of carbonyl compounds in plum brandies produced from Presenta, Valjevka, Čačanská lepotica, and Čačanská rodná plum varieties.</p>
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<p>Mean relative contribution (%) of minor esters in plum brandies produced from Presenta, Valjevka, Čačanská lepotica, and Čačanská rodná plum varieties.</p>
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<p>Mean relative contribution (%) of minor alcohols in plum brandies produced from Presenta, Valjevka, Čačanská lepotica, and Čačanská rodná plum varieties.</p>
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<p>Flavor profiles of plum brandies produced from Presenta, Valjevka, Čačanská lepotica, and Čačanská rodná varieties.</p>
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<p>Aroma profiles of plum brandies produced from Presenta, Valjevka, Čačanská lepotica, and Čačanská rodná plum varieties.</p>
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14 pages, 2535 KiB  
Article
Effects of Reducing Sugars on Colour, Amino Acids, and Volatile Flavour Compounds in Thermally Treated Minced Chicken Carcass Hydrolysate
by Xing Zhang and Shao-Quan Liu
Foods 2024, 13(7), 991; https://doi.org/10.3390/foods13070991 - 24 Mar 2024
Viewed by 1163
Abstract
This study investigated the changes in colour, amino acids, and volatile flavour compounds in the enzymatic hydrolysates of chicken carcasses containing different types and amounts of reducing sugars (xylose, arabinose, glucose, and fructose), so as to develop a chicken-based flavouring agent. Before heat [...] Read more.
This study investigated the changes in colour, amino acids, and volatile flavour compounds in the enzymatic hydrolysates of chicken carcasses containing different types and amounts of reducing sugars (xylose, arabinose, glucose, and fructose), so as to develop a chicken-based flavouring agent. Before heat treatment at 100 °C for 60 min, the chosen reducing sugars were separately added to the chicken carcass hydrolysate at its natural pH. Pentoses decreased pH more significantly than hexoses in the chicken carcass hydrolysate. The browning degree followed the pattern of pH decline, as pentoses caused more intense browning than hexoses, with xylose dosage having the greatest effect on the colour changes (ΔE). Fructose addition notably reduced free amino acids (FAAs) and cystine contents. Furthermore, phenylalanine decreased with increasing dosages of arabinose, xylose, and fructose. Glutamic acid content decreased significantly with fructose addition but showed insignificant changes with xylose. At the same dosage, the addition of pentoses resulted in the production of more sulphur-containing volatile compounds like methional, 2-[(methylthio) methyl] furan, and dimethyl disulphide than hexoses. Methional and furfural, which provide a roasted, savoury flavour, were produced by adding more xylose. Heat treatment with xylose also removed hexanal, the main off-odourant. Full article
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<p>The changes in pH in chicken carcass hydrolysates with different added sugars (<span class="html-fig-inline" id="foods-13-00991-i001"><img alt="Foods 13 00991 i001" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i001.png"/></span> 0%, <span class="html-fig-inline" id="foods-13-00991-i002"><img alt="Foods 13 00991 i002" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i002.png"/></span> 0.5%, <span class="html-fig-inline" id="foods-13-00991-i003"><img alt="Foods 13 00991 i003" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i003.png"/></span> 1.5%, <span class="html-fig-inline" id="foods-13-00991-i004"><img alt="Foods 13 00991 i004" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i004.png"/></span> 2.5%, <span class="html-fig-inline" id="foods-13-00991-i005"><img alt="Foods 13 00991 i005" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i005.png"/></span> 3.5%) during heat treatment at 100 °C for 1 h. <sup>a,b,c,d</sup> values within the same dosage on different types of sugars followed by the same letters are not significantly different (<span class="html-italic">p</span> &gt; 0.05). <sup>A,B,C,D, E</sup> values between the different sugar dosages on the same sugar followed by the same letters are not significantly different (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Reducing sugar consumption (mg/mL) in chicken carcass hydrolysates with different added sugars (<span class="html-fig-inline" id="foods-13-00991-i001"><img alt="Foods 13 00991 i001" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i001.png"/></span> Xylose, <span class="html-fig-inline" id="foods-13-00991-i002"><img alt="Foods 13 00991 i002" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i002.png"/></span> Arabinose, <span class="html-fig-inline" id="foods-13-00991-i003"><img alt="Foods 13 00991 i003" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i003.png"/></span> Glucose, <span class="html-fig-inline" id="foods-13-00991-i004"><img alt="Foods 13 00991 i004" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i004.png"/></span> Fructose) after heat treatment at 100 °C for 1 h. <sup>a,b,c,d,e</sup> values between the different dosages on the same sugar followed by the same letters are not significantly different (<span class="html-italic">p</span> &gt; 0.05). <sup>A,B,C</sup> values within the same dosages on different types of sugars followed by the same letters are not significantly different (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Changes in selected amino acids: cystine (<b>a</b>), methionine (<b>b</b>), phenylalanine (<b>c</b>), glutamic acid (<b>d</b>), and lysine (<b>e</b>) in heat-treated samples added with different sugars at different dosages (<span class="html-fig-inline" id="foods-13-00991-i001"><img alt="Foods 13 00991 i001" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i001.png"/></span> 0%, <span class="html-fig-inline" id="foods-13-00991-i002"><img alt="Foods 13 00991 i002" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i002.png"/></span> 0.5%, <span class="html-fig-inline" id="foods-13-00991-i003"><img alt="Foods 13 00991 i003" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i003.png"/></span> 1.5%, <span class="html-fig-inline" id="foods-13-00991-i004"><img alt="Foods 13 00991 i004" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i004.png"/></span> 2.5%, <span class="html-fig-inline" id="foods-13-00991-i005"><img alt="Foods 13 00991 i005" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i005.png"/></span> 3.5%) after heat treatment at 100 °C for 1 h. <sup>a,b,c,d</sup> values within the same dosage on different types of sugars followed by the same letters are not significantly different (<span class="html-italic">p</span> &gt; 0.05). <sup>A,B,C,D</sup> values between the different sugar dosages on the same sugar followed by the same letters are not significantly different (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>The relative peak areas (RPAs, %) of six groups of volatiles in the total volatile compounds with different sugars added at 2.5% after heat treatment at 100 °C for 1 h.</p>
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<p>Changes in GC-MS/FID peak areas of methional (<b>a</b>) furfural (<b>b</b>), hexanal (<b>c</b>), and 2-pentylfuran (<b>d</b>) in heat-treated samples added with sugars (xylose, arabinose, glucose, and fructose) (<span class="html-fig-inline" id="foods-13-00991-i001"><img alt="Foods 13 00991 i001" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i001.png"/></span> 0%, <span class="html-fig-inline" id="foods-13-00991-i002"><img alt="Foods 13 00991 i002" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i002.png"/></span> 0.5%, <span class="html-fig-inline" id="foods-13-00991-i003"><img alt="Foods 13 00991 i003" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i003.png"/></span> 1.5%, <span class="html-fig-inline" id="foods-13-00991-i004"><img alt="Foods 13 00991 i004" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i004.png"/></span> 2.5%, <span class="html-fig-inline" id="foods-13-00991-i005"><img alt="Foods 13 00991 i005" src="/foods/foods-13-00991/article_deploy/html/images/foods-13-00991-i005.png"/></span> 3.5%). <sup>a,b,c,d</sup> values within the same dosage on different types of sugars followed by the same letters are not significantly different (<span class="html-italic">p</span> &gt; 0.05). <sup>A,B,C,D</sup> values between the different dosages on the same sugar followed by the same letters are not significantly different (<span class="html-italic">p</span> &gt; 0.05).</p>
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20 pages, 6244 KiB  
Article
Study on the Fermented Grain Characteristics and Volatile Flavor Substances during the Tuqu Fermentation of Hunan Light-Flavor Baijiu
by Jie Xu, Ting Zhang, Huitai Chen, Yijie Dai, Zongjun Li, Jia He, Rongfang Ju and Aixiang Hou
Foods 2024, 13(6), 899; https://doi.org/10.3390/foods13060899 - 15 Mar 2024
Viewed by 1143
Abstract
The present study employed Hunan local Tuqu for fermentation and investigated the physicochemical properties, microbial community composition, and volatile flavor compounds of the fermented grains, as well as the correlation between the physicochemical indicators and the microbial community. The findings reveal that the [...] Read more.
The present study employed Hunan local Tuqu for fermentation and investigated the physicochemical properties, microbial community composition, and volatile flavor compounds of the fermented grains, as well as the correlation between the physicochemical indicators and the microbial community. The findings reveal that the activities of α-amylase and glucoamylase were highest during the initial stages of the fermentation process. The acid protease activity increased to 30.6 U/g on the second day and then decreased. Cellulose and lipase activities both showed an increasing trend. The moisture content increased sharply to 73.41% and then remained relatively stable. The acidity was highest on the eighth day. Fifty genera of bacteria and twenty-two genera of fungi were detected. Lactobacillus was dominant among bacteria, and Saccharomyces was dominant among fungi. A correlation analysis showed that there were positive correlations between moisture, acidity, cellulose, lipase activities and Lactobacillus, and there were positive correlations between moisture content, acidity, cellulase activity, acidic protease activity and Saccharomyces. A total of 46 volatile flavor compounds were detected, of which 6 alcohols and 14 esters constituted the major portion, and 9 key flavor compounds with an ROAV > 1 were identified throughout the fermentation process. Isoamyl acetate had the highest ROAV and made the greatest contribution to the flavor. Full article
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<p>Sampling sites of the fermented grain samples.</p>
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<p>The brewing process of Hunan light-flavor Baijiu.</p>
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<p>Variation of moisture and acidity with fermentation days during the Toqu fermentation of Hunan light-flavor Baijiu ((<b>A</b>): moisture; (<b>B</b>): acidity).</p>
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<p>Alpha diversity analysis of bacteria in the Tuqu fermentation process of Hunan light-flavor Baijiu. * is a marker indicating significance.</p>
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<p>Community structure distribution of bacteria based on genus level during the Tuqu fermentation of Hunan light-flavor Baijiu.</p>
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<p>Heat map of the genus-based level of bacteria in the Tuqu fermentation process of Hunan light-flavor Baijiu.</p>
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<p>Alpha diversity analysis of fungi in the Tuqu fermentation process of Hunan light-flavor Baijiu.</p>
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<p>Community structure distribution of Fungi based on genus level during the Tuqu fermentation of Hunan light-flavor Baijiu.</p>
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<p>Heat map of the genus-based level of Fungi in the Tuqu fermentation process of Hunan light-flavor Baijiu.</p>
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<p>Heat map of correlation between bacterial microorganisms and physicochemical indicators based on genus level.</p>
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<p>Heat map of correlation between fungi microorganisms and physicochemical indicators based on genus level.</p>
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<p>Numbers and percentages of volatile compounds identified in the Tuqu fermentation process of Hunan light-flavor Baijiu: (<b>A</b>) numbers of different types of volatile compounds in different steps; (<b>B</b>) the percentages of different volatile compounds in the Tuqu fermentation process of Hunan light-flavor Baijiu; (<b>C</b>) the changes in the content of alcohols and esters of Hunan Tuqu light-flavor Baijiu.</p>
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14 pages, 492 KiB  
Article
The Biochemical Composition and Quality of Adult Chinese Mitten Crab Eriocheir sinensis Reared in Carbonate-Alkalinity Water
by Shihui Wang, Liang Luo, Rui Zhang, Kun Guo and Zhigang Zhao
Foods 2024, 13(3), 362; https://doi.org/10.3390/foods13030362 - 23 Jan 2024
Viewed by 1203
Abstract
Saline–alkaline aquaculture has become an important breakthrough in expanding the space available for aquaculture in China. However, the biochemical composition and quality of Eriocheir sinensis reared in carbonate alkalinity water are still unclear. Therefore, this study investigated the edible yield, coloration, and nutritional [...] Read more.
Saline–alkaline aquaculture has become an important breakthrough in expanding the space available for aquaculture in China. However, the biochemical composition and quality of Eriocheir sinensis reared in carbonate alkalinity water are still unclear. Therefore, this study investigated the edible yield, coloration, and nutritional and flavor quality of Eriocheir sinensis. A significantly lower gonadosomatic index (GSI), meat yield (MY), and total edible yield (TEY) were detected in intensive pond (IP) samples than those in semi-intensive reed wetland (SIWR) (p < 0.05). Six color parameters in the hepatopancreas (p < 0.05) differed between IP and SIRW. The contents of crude protein and fat in the female hepatopancreas of IP were significantly higher than those in SIRW (p < 0.05). The concentrations of total monounsaturated fatty acids (∑MUFA), total essential fatty acids (∑EFA), and hypocholesterolaemic/hypercholesterolaemic ratio (h/H) in the female edible tissues checked were higher in IP than those in SIRW, with significant differences including ∑MUFA in the hepatopancreas and ovary, ∑EFA in the muscle, and h/H in the ovary (p < 0.05). Higher total free amino acid (∑FAA) contents of muscle were detected in SIRW than that in IP samples. Significantly higher K, Ca, Mg, Fe, and Zn contents in the ovary were detected in SIRW samples compared to IP (p < 0.05). Overall, Eriocheir sinensis reared in carbonate-alkalinity water is an important source of nutrients. Full article
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<p>The edible yield (% body weight, (<b>A</b>,<b>B</b>)) and condition factor (%, (<b>C</b>)) of adult <span class="html-italic">Eriocheir sinensis</span> reared in carbonate-alkalinity water. Data are presented as means ± standard error (SE) (n = 25). * denotes significant difference (<span class="html-italic">p</span> &lt; 0.05), ** denotes extreme significant difference (<span class="html-italic">p</span> &lt; 0.01). IP, <span class="html-italic">Eriocheir sinensis</span> reared in intensive pond; SIRW, <span class="html-italic">Eriocheir sinensis</span> reared in semi-intensive reed wetland; HSI, hepatosomatic index; GSI, gonadosomatic index; MY, muscle yield; TEY, total edible yield.</p>
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13 pages, 1167 KiB  
Article
Electronic Nose and Gas Chromatograph Devices for the Evaluation of the Sensory Quality of Green Coffee Beans
by Gema Cascos, Jesús Lozano, Ismael Montero-Fernández, Jhunior Abrahan Marcía-Fuentes, Ricardo S. Aleman, Antonio Ruiz-Canales and Daniel Martín-Vertedor
Foods 2024, 13(1), 87; https://doi.org/10.3390/foods13010087 - 26 Dec 2023
Viewed by 1576
Abstract
The aim of this work is to discriminate between the volatile org9anic compound (VOC) characteristics of different qualities of green coffee beans (Coffea arabica) using two analysis approaches to classify the fresh product. High-quality coffee presented the highest values for positive [...] Read more.
The aim of this work is to discriminate between the volatile org9anic compound (VOC) characteristics of different qualities of green coffee beans (Coffea arabica) using two analysis approaches to classify the fresh product. High-quality coffee presented the highest values for positive attributes, the highest of which being fruity, herbal, and sweet. Low-quality samples showed negative attributes related to roasted, smoky, and abnormal fermentation. Alcohols and aromatic compounds were most abundant in the high-quality samples, while carboxylic acids, pyrazines, and pyridines were most abundant in the samples of low quality. The VOCs with positive attributes were phenylethyl alcohol, nonanal and 2-methyl-propanoic acid, and octyl ester, while those with negative attributes were pyridine, octanoic acid, and dimethyl sulfide. The aroma quality of fresh coffee beans was also discriminated using E-nose instruments. The PLS-DA model obtained from the E-nose data was able to classify the different qualities of green coffee beans and explained 96.9% of the total variance. A PLS chemometric approach was evaluated for quantifying the fruity aroma of the green coffee beans, obtaining an RP2 of 0.88. Thus, it can be concluded that the E-nose represents an accurate, inexpensive, and non-destructive device for discriminating between different coffee qualities during processing. Full article
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<p>Chemical distribution of volatile compounds (%) in green coffee beans of different qualities.</p>
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<p>Score plot of the PCA analysis in fresh coffee beans of different qualities.</p>
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<p>Experimental values against PLS cross-validation predictions (<span style="color:#2F5496">●</span>) and validation set predictions (<span style="color:red">×</span>) for fruity aroma perceived.</p>
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19 pages, 3382 KiB  
Article
The Characteristic Aroma Compounds of GABA Sun-Dried Green Tea and Raw Pu-Erh Tea Determined by Headspace Solid-Phase Microextraction Gas Chromatography–Mass Spectrometry and Relative Odor Activity Value
by Chenyang Ma, Chang Gao, Yuanda Li, Xiaohui Zhou, Guofu Fan, Di Tian, Yuan Huang, Yali Li and Hongjie Zhou
Foods 2023, 12(24), 4512; https://doi.org/10.3390/foods12244512 - 18 Dec 2023
Cited by 1 | Viewed by 1571
Abstract
We aim to improve the product quality of GABA raw Pu-erh tea during development and processing. In this study, headspace solid-phase microextraction gas chromatography–mass spectrometry technology combined with relative odor activity evaluations was used to compare the volatile compounds of GABA sun-dried green [...] Read more.
We aim to improve the product quality of GABA raw Pu-erh tea during development and processing. In this study, headspace solid-phase microextraction gas chromatography–mass spectrometry technology combined with relative odor activity evaluations was used to compare the volatile compounds of GABA sun-dried green tea and GABA raw Pu-erh tea. Sensory evaluation showed a higher aroma score of GABA raw Pu-erh tea than that of GABA sun-dried green tea, with significant differences in aroma type and purity. A total of 147 volatile compounds of 13 categories were detected, which differed in composition and quantity between the two teas. 2-Buten-1-one,1-(2,6,6-trimethyl-1,3-cyclohexadien-1-yl)-,(E)- and beta.-myrcene largely contributed to the aroma formation of both teas. Five volatile compounds were screened as potential markers for tea aroma. Metabolic pathway analysis showed that monoterpenoid biosynthesis may be beneficial to the formation of flowery and fruity aromas in the teas. We suggest that the findings of this study may provide important guidance for the processing and optimization of GABA tea. Full article
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<p>The process of GABA sun-dried green tea and GABA raw Pu-erh tea manufacturing.</p>
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<p>Multivariate statistical analysis of volatile organic compounds in the processing of GABA sun-dried green tea and GABA raw Pu-erh tea. (<b>a</b>) PCA model score scatter plot (total). (<b>b</b>) Venn diagram of volatile organic compounds. (<b>c</b>) Scatter plot of scores of OPLS-DA model (SGT vs. PRT). (<b>d</b>) Volcano plot of differential compounds (SGT vs. PRT). CK refers to fresh tea leaves, CA refers to anaerobic tea leaves, SGT refers to GABA sun-dried green tea, and PRT refers to GABA raw Pu-erh tea.</p>
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<p>Based on the ROAV value, the correlation statistics of the characteristic aroma compounds of tea samples were carried out. SGT refers to GABA sun-dried green tea, and PRT refers to GABA raw Pu-erh tea. (<b>a</b>) Pearson correlation circle of characteristic aroma compounds of PRT. (<b>b</b>) Pearson correlation circle of characteristic aroma compounds of SGT. (<b>c</b>) Heat map of hierarchical clustering of relative odor activity value.</p>
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<p>Metabolic evolution pathway of main flavor compounds in GABA sun-dried green tea and GABA raw Pu-erh tea.</p>
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<p>Characteristic aroma compounds and characteristic aroma in GABA raw Pu-erh tea.</p>
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13 pages, 650 KiB  
Article
Analysis and Evaluation of Muscle Quality in Different Parts of the Bighead Carp (Aristichthys nobilis)
by Jiaqi Peng, Xiaorong Lu, Ruiqi Fan, Yuanyuan Ren, Huiwu Sun, Yali Yu and Bo Cheng
Foods 2023, 12(24), 4430; https://doi.org/10.3390/foods12244430 - 10 Dec 2023
Viewed by 1296
Abstract
In this study, the bighead carp (Aristichthys nobilis) was the object of research to compare and analyze the contents of conventional nutrients, amino acids, fatty acids, inosinic acid, and earthy-smelling compounds (geosmin and 2-methylisoborneol) in muscles of its dorsal, belly, tail, [...] Read more.
In this study, the bighead carp (Aristichthys nobilis) was the object of research to compare and analyze the contents of conventional nutrients, amino acids, fatty acids, inosinic acid, and earthy-smelling compounds (geosmin and 2-methylisoborneol) in muscles of its dorsal, belly, tail, opercula, eye socket, and mandible in order to evaluate their quality. The findings could inform recommendations for the consumption and processing of different muscle parts of the bighead carp. The results showed that the water content in the abdominal muscle was significantly lower than that in other parts, and the crude fat content was significantly higher than that in other parts (p < 0.05, the same below). Seventeen kinds of amino acids were detected in the muscles of the six parts of the fish, and the dorsal muscles had the highest umami amino acids, essential amino acids and total amino acids, which were 6.45 g/100 g, 6.82 g/100 g and 17.26 g/100 g, respectively. The total amount of essential amino acids in the muscle was higher than that in the FAO/WHO standard model. According to the AAS standard, the first limiting amino acid in the muscle of the six parts was valine (Val). There were 26 kinds of fatty acids in the abdomen, under the gill cover and in the eye socket muscles, and the content of polyunsaturated fatty acids in the mandibular muscles was the highest (45.41%). The content of inosine in the dorsal muscle was significantly higher than that in other parts. Geosmin was the main substance in the muscle. There was no correlation between the distribution of earthy-smelling compounds and fat content, but the content of earthy-smelling compounds in the muscle of the belly and eye socket was the highest. Therefore, the muscle quality of different parts of the bighead carp has its own characteristics, and targeted development and utilization can make more efficient use of bighead carp resources. Full article
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<p>The sampling sites of muscle of a bighead carp. A: dorsal muscle; B: belly muscle; C: tail muscle; D: opercula muscle; E: eye socket muscle; F: mandible muscle.</p>
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12 pages, 2966 KiB  
Article
Flavor Characteristics of Ten Peanut Varieties from China
by Bin Ding, Fei Wang, Bei Zhang, Mengshi Feng, Lei Chang, Yuyang Shao, Yan Sun, Ying Jiang, Rui Wang, Libin Wang, Jixian Xie and Chunlu Qian
Foods 2023, 12(24), 4380; https://doi.org/10.3390/foods12244380 - 5 Dec 2023
Viewed by 1301
Abstract
To investigate the flavor characteristics of peanuts grown in Jiangsu, China, ten local varieties were selected. The amino acids, 5′-nucleotides and volatile substances were detected, and the flavor and odor characteristics of these varieties were estimated using an electronic tongue and nose. The [...] Read more.
To investigate the flavor characteristics of peanuts grown in Jiangsu, China, ten local varieties were selected. The amino acids, 5′-nucleotides and volatile substances were detected, and the flavor and odor characteristics of these varieties were estimated using an electronic tongue and nose. The results showed that the fat and protein contents of ten peanut varieties changed significantly (p < 0.05), and may have been negatively correlated with those of the Taihua 6 variety—in particular, having the highest protein content and the lowest fat content. The amino acid contents of the peanuts were 20.08 g/100 g (Taihua 4)–27.18 g/100 g (Taihua 6). Taihua 6 also contained the highest bitter (10.41 g/100 g) and sweet (6.06 g/100 g) amino acids, and Taihua 10 had the highest monosodium glutamate-like amino acids (7.61 g/100 g). The content of 5′-nucleotides ranged from 0.08 mg/g (Taihua 9725) to 0.14 mg/g (Taihua 0122–601). Additionally, 5′-cytidylate monophosphate (5′-CMP) and 5′-adenosine monophosphate (5′-AMP) were the major 5′-nucleotides detected in the peanuts. A total of 42 kinds of volatile flavor compounds were detected, with both Taihua 4 and 6 showing the most (18 kinds) and the highest content being in Taihua 4 (7.46%). Both Taihua 9725 and 9922 exhibited the fewest kinds (nine kinds) of volatile components, and the lowest content was in Taihua 9725 (3.15%). Formic acid hexyl ester was the most abundant volatile substance in peanuts, and the highest level (3.63%) was detected in Taihua 7506. The electronic tongue and nose indicated that the greatest taste difference among the ten varieties of peanuts was mainly related to sourness, and Taihua 4 and Taihua 9922 had special taste characteristics. On the other hand, the greatest smell difference among the ten varieties of peanuts was mostly for methane and sulfur organic substances, and Taihua 0605-2 had a special and strong smell characteristic. In conclusion, the content and composition differences of the flavor substances of ten peanut varieties were responsible for their divergences in taste and smell. These results will provide guidelines for the further use (freshly consumed or processed) of these ten peanut varieties. Full article
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<p>Radar map of the electronic tongue results for the ten peanut varieties.</p>
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<p>PCA of the electronic tongue results for the ten peanut varieties.</p>
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<p>PCA loading plot of the electronic tongue results for the ten peanut varieties.</p>
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<p>Radar map of the electronic nose results for the ten peanut varieties.</p>
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<p>PCA of the electronic nose results for the ten peanut varieties.</p>
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<p>PCA loading plot of the electronic nose results for the ten peanut varieties.</p>
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15 pages, 2711 KiB  
Article
Discriminant Analysis of Aroma Differences between Cow Milk Powder and Special Milk Powder (Donkey, Camel, and Horse Milk Powder) in Xinjiang Based on GC-IMS and Multivariate Statistical Methods
by Yongzhen Gou, Yaping Han, Jie Li, Xiyue Niu, Guocai Ma and Qian Xu
Foods 2023, 12(21), 4036; https://doi.org/10.3390/foods12214036 - 5 Nov 2023
Cited by 3 | Viewed by 1818
Abstract
In order to explore the aromatic differences between Xinjiang cow milk powder and specialty milk powder (donkey, camel, and horse milk powder), Gas Chromatography-Ion Mobility Spectrometry (GC-IMS) analysis was employed to investigate the volatile compounds in these four types of milk powders. A [...] Read more.
In order to explore the aromatic differences between Xinjiang cow milk powder and specialty milk powder (donkey, camel, and horse milk powder), Gas Chromatography-Ion Mobility Spectrometry (GC-IMS) analysis was employed to investigate the volatile compounds in these four types of milk powders. A total of 61 volatile substances were detected, with ketones, aldehydes, and alcohols being the primary flavor components in the milk powders. While the aromatic components of the different milk powders showed similarities in terms of types, there were significant differences in their concentrations, exhibiting distinct characteristics for each type. The Partial Least Squares Discriminant Analysis (PLS-DA) showed that there were 15, 14, and 23 volatile compounds that could be used for discrimination of cow milk powder against specialty milk powders, respectively. And it was validated by Receiver Operating Characteristic (ROC) analysis, and finally, 8, 6, and 19 volatile compounds were identified as valid differential marker substances. To facilitate visual discrimination between the different milk powders, we established GC-IMS fingerprint spectra based on the final discriminant markers. These studies provide theoretical guidance for the application of volatile compounds to discriminate adulteration of milk powder marketed in Xinjiang. Full article
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<p>GC−IMS analysis of different milk powders. (<b>a</b>) 3D Spectrogram of volatile components in different milk powders−top view; (<b>b</b>) 2D Comparative chart of volatile components in different milk powders. Wherein, M, D, C, and H denote bovine milk powder, donkey milk powder, camel milk powder, and equine milk powder, respectively.</p>
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<p>Presents the PLS−DA analysis based on cow milk powder samples compared to the other three types of milk powder samples. (<b>a</b>) Displays the score plot, cross-validation results obtained from 200 permutation tests, and the plot of volatile compounds arranged according to VIP scores for discriminating between cow milk powder and donkey milk powder; (<b>b</b>) Represents the PLS−DA analysis plot for discriminating between cow milk powder and camel milk powder; (<b>c</b>) Illustrates the PLS−DA analysis plot for discriminating between cow milk powder and horse milk powder.Where the red part is VIP &gt; 1 and the green part is VIP &lt; 1.</p>
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<p>The ROC analysis graphs and the maximum Youden index threshold discrimination table are based on the initial screening of discriminative compounds using PLS-DA analysis for cow milk powder samples compared to the other three types of milk powder samples. (<b>a</b>) The ROC analysis validation graph for discriminating between cow milk powder and donkey milk powder; (<b>b</b>) The ROC analysis validation graph for discriminating between cow milk powder and camel milk powder; (<b>c</b>) The ROC analysis validation graph for discriminating between cow milk powder and horse milk powder. Note: The lines with colors not appearing in the ROC analysis graphs coincide with the upper-left boundary.</p>
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<p>The GC-IMS fingerprint spectra are based on ROC validation for discriminating volatile compounds. (<b>a</b>) The fingerprint spectra for discriminating between cow and donkey milk powder; (<b>b</b>) The fingerprint spectra for discriminating between cow and camel milk powder; (<b>c</b>) The fingerprint spectra for discriminating between cow and horse milk powder.</p>
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13 pages, 2785 KiB  
Article
Difference Analysis of the Composition of Iron (Hydr)Oxides and Dissolved Organic Matter in Pit Mud of Different Pit Ages in Luzhou Laojiao and Its Implications for the Ripening Process of Pit Mud
by Kairui Jiao, Bo Deng, Ping Song, Hailong Ding, Hailong Liu and Bin Lian
Foods 2023, 12(21), 3962; https://doi.org/10.3390/foods12213962 - 30 Oct 2023
Viewed by 1391
Abstract
Long-term production practice proves that good liquor comes out of the old cellar, and the aged pit mud is very important to the quality of Luzhou-flavor liquor. X-ray diffraction, Fourier transform ion cyclotron resonance mass spectrometry, and infrared spectroscopy were used to investigate [...] Read more.
Long-term production practice proves that good liquor comes out of the old cellar, and the aged pit mud is very important to the quality of Luzhou-flavor liquor. X-ray diffraction, Fourier transform ion cyclotron resonance mass spectrometry, and infrared spectroscopy were used to investigate the composition characteristics of iron-bearing minerals and dissolved organic matter (DOM) in 2-year, 40-year, and 100-year pit mud and yellow soil (raw materials for making pit mud) of Luzhou Laojiao distillery. The results showed that the contents of total iron and crystalline iron minerals decreased significantly, while the ratio of Fe(II)/Fe(III) and the content of amorphous iron (hydr)oxides increased significantly with increasing cellar age. DOM richness, unsaturation, and aromaticity, as well as lignin/phenolics, polyphenols, and polycyclic aromatics ratios, were enhanced in pit mud. The results of the principal component analysis indicate that changes in the morphology and content of iron-bearing minerals in pit mud were significantly correlated with the changes in DOM molecular components, which is mainly attributed to the different affinities of amorphous iron (hydr)oxides and crystalline iron minerals for the DOM components. The study is important for understanding the evolution pattern of iron-bearing minerals and DOM and their interactions during the aging of pit mud and provides a new way to further understand the influence of aged pit mud on Luzhou-flavor liquor production. Full article
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<p>Location map of sampling sites in Luzhou, Sichuan. CK, yellow soil; 2-PM, 2-year pit mud; 40-PM, 40-year pit mud; 100-PM, 100-year pit mud.</p>
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<p>The mineral composition varies in different samples. CK, yellow soil; 2-PM, 2-year pit mud; 40-PM, 40-year pit mud; 100-PM, 100-year pit mud; Q, quartz; G, goethite; M, mahlmoodite; F, ferrorichterite.</p>
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<p>ATR-FTIR spectra of different samples. CK, yellow soil; 2-PM, 2-year pit mud; 40-PM, 40-year pit mud; 100-PM, 100-year pit mud.</p>
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<p>Type of DOM compounds (<b>A</b>) and element composition (<b>B</b>). SFA, saturated fatty acid; UAC, unsaturated aliphatic compounds; HULP, highly unsaturated lignin/phenolics; VPDP, vascular plant-derived polyphenols; CDPA, combustion-derived polycyclic aromatics; CH, carbohydrates. CHO, any formulae without heteroatoms; CHON, any formulae with N only; CHOS, any formulae with S only; CHOP, any formulae with P only; CHONS, any formulae with N and S; CHONP, any formulae with N and P; CHOSP, any formulae with S and P; CHONSP, any formulae with N, S, and P. CK, yellow soil; 2-PM, 2-year pit mud; 40-PM, 40-year pit mud; 100-PM, 100-year pit mud.</p>
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<p>DOM molecular characteristics of different samples and PCA analysis of iron (hydr)oxides. CK, yellow soil; 2-PM, 2-year pit mud; 40-PM, 40-year pit mud; 100-PM, 100-year pit mud. AP, available phosphorus; DOC, dissolved organic carbon; TFe, total iron; Fe<sub>d</sub>, free iron oxides; Fe<sub>o</sub>, amorphous iron oxides; Fe<sub>c</sub>, crystalline iron oxides; Fe(II)/Fe(III), ratio of divalent to trivalent iron ions; H/C, hydrogen-to-carbon element ratios; O/C, oxygen-to-carbon element ratios; DBE, double bond equivalence; AI, aromaticity index; NOSC, the nominal oxidation state of carbon; HULP, highly unsaturated lignin/phenolics; VPDP, vascular plant-derived polyphenols; CDPA, combustion-derived polycyclic aromatics; UAC, unsaturated aliphatic compounds; SFA, saturated fatty acid; CHONP, any formulae with N and P; CHOP, any formulae with P only.</p>
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14 pages, 2729 KiB  
Article
Sensory-Guided Isolation, Identification, and Active Site Calculation of Novel Umami Peptides from Ethanol Precipitation Fractions of Fermented Grain Wine (Huangjiu)
by Rui Chang, Zhilei Zhou, Yong Dong, Yuezheng Xu, Zhongwei Ji, Shuangping Liu and Jian Mao
Foods 2023, 12(18), 3398; https://doi.org/10.3390/foods12183398 - 11 Sep 2023
Cited by 6 | Viewed by 1538
Abstract
Huangjiu is rich in low-molecular-weight peptides and has an umami taste. In order for its umami peptides to be discovered, huangjiu was subjected to ultrafiltration, ethanol precipitation, and macroporous resin purification processes. The target fractions were gathered according to sensory evaluation. Subsequently, we [...] Read more.
Huangjiu is rich in low-molecular-weight peptides and has an umami taste. In order for its umami peptides to be discovered, huangjiu was subjected to ultrafiltration, ethanol precipitation, and macroporous resin purification processes. The target fractions were gathered according to sensory evaluation. Subsequently, we used peptidomics to identify the sum of 4158 peptides in most umami fractions. Finally, six novel umami peptides (DTYNPR, TYNPR, SYNPR, RFRQGD, NFHHGD, and FHHGD) and five umami-enhancing peptides (TYNPR, SYNPR, NFHHGD, FHHGD, and TVDGPSH) were filtered via virtual screening, molecular docking, and sensory verification. Moreover, the structure–activity relationship was discussed using computational approaches. Docking analysis showed that all umami peptides tend to bind with T1R1 through hydrogen bonds and hydrophobic forces, which involve key residues HIS71, ASP147, ARG151, TYR220, SER276, and ALA302. The active site calculation revealed that the positions of the key umami residues D and R in the terminal may cause taste differences in identified peptides. Full article
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<p>The flowchart of the huangjiu umami peptide separation and identification.</p>
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<p>Sensory characteristics of precipitated huangjiu umami peptide fractions ((<b>A</b>): recovery rate and peptide content, (<b>B</b>): sensory intensity of peptide fractions). Note that letters in the same column and asterisks in sensory radar chart represent significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Sensory characteristics of resin−purified huangjiu umami peptide fractions ((<b>A</b>): peptide content, (<b>B</b>): recovery rate, (<b>C</b>,<b>D</b>): elution response curve, (<b>E</b>,<b>F</b>): sensory intensity of each elution fraction). The asterisks in sensory radar chart represent significant differences (<span class="html-italic">p</span> &lt; 0.05). Different letters above bars indicate significant differences at the 0.05 level.</p>
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<p>Sensory and sequence features of synthetic umami peptides ((<b>A</b>): umami intensity in water, (<b>B</b>): umami-enhancing effect with 0.35% MSG, (<b>C</b>): amino acid composition, (<b>D</b>): taste activity profile). Different letters in the same column represent significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The interaction bond heatmap between umami peptides and T1R1−T1R3 receptors ((<b>A</b>) for T1R1 and (<b>B</b>) for T1R3. DR6, TR5, SR5, RD6, ND6, and FD5 are short for DTYNPR, TYNPR, SYNPR, RFRQGD, NFHHGD, and FHHGD, respectively).</p>
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<p>The calculated active sites of umami peptides (active sites are colored red in sequence, and the positive and negative phases of the orbital wave function are shown in green and blue, respectively).</p>
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15 pages, 3174 KiB  
Article
Dynamics of Physicochemical Properties, Flavor, and Microbial Communities of Salt-Free Bamboo Shoots during Natural Fermentation: Correlation between Microorganisms and Metabolites
by Xiaofeng Xu, Zhijian Long, Wanning Du, Qiyang Chen, Yu Zhang and Shanglian Hu
Fermentation 2023, 9(8), 733; https://doi.org/10.3390/fermentation9080733 - 6 Aug 2023
Cited by 5 | Viewed by 1966
Abstract
Sour bamboo shoot is a Chinese fermented vegetable with unique flavors and is favored by local consumers. In this study, at different fermentation times, the texture of bamboo shoots and the changing rules of pH, titratable acid (TA), reduced sugar, and nitrite in [...] Read more.
Sour bamboo shoot is a Chinese fermented vegetable with unique flavors and is favored by local consumers. In this study, at different fermentation times, the texture of bamboo shoots and the changing rules of pH, titratable acid (TA), reduced sugar, and nitrite in bamboo shoot fermentation broth were explored. Headspace solid-phase microextraction (HS-SPME) combined with gas chromatography-mass spectrometry (GC-MS) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to investigate the dominant aroma compounds. 16S rRNA high-throughput sequencing technology (HTS) was employed to investigate the core microbial communities. The results show that the chewiness, fracturability, hardness, and pH decreased, while TA increased during the 60-day fermentation. The contents of reducing sugar and nitrite peaked on the 14th day of fermentation and then decreased. A total of 80 volatile compounds were detected during sour bamboo shoot fermentation, with 2,4-Di-tert-butylphenol having the highest concentration. Among them, 12 volatile compounds (VIP ≥ 1) were identified as characteristic aroma substances of sour bamboo shoots. The dominant bacterial phyla in sour bamboo shoots were Firmicutes and Proteobacteria, while Bacillus and Acinetobacter were the dominant genus. Correlation analysis showed that Firmicutes exhibited a positive correlation with 3,6-Nonadien-1-ol, (E,Z)-, Oxalic acid, isobutyl hexyl ester, and (-)-O-Acetylmalic anhydride, whereas Bacillus exhibited a negative correlation with Silanediol, dimethyl-, and Oxime-, methoxy-phenyl-. A detailed picture of the microbial community of fermented bamboo shoots has been provided by this study, and it may provide insight into the Chinese traditional fermented vegetable microbial structure. Full article
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<p>Texture properties of the sour bamboo shoot during the fermentation process. (<b>A</b>) Changes in hardness of sour bamboo shoots during fermentation. (<b>B</b>) Changes in fracturability of sour bamboo shoots during fermentation. (<b>C</b>) Changes in chewiness of sour bamboo shoots during fermentation. Statistically significant differences are indicated by different letters at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Changes in the pH (<b>A</b>), TA (<b>B</b>), reducing sugar content (<b>C</b>), and nitrite content (<b>D</b>) during different fermentation periods. Statistically significant differences are indicated by different letters at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Hierarchical clustering heatmap of volatile compounds in fermented bamboo shoots (<b>A</b>), column chart of volatile compounds in fermented bamboo shoots (<b>B</b>), and PCA analysis of physicochemical properties and volatile compounds in fermented bamboo shoots (<b>C</b>).</p>
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<p>The phylum level (<b>A</b>) and genus level (<b>B</b>) of microbial community.</p>
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<p>The composition of microbial community in LEfSe at the phylum (<b>A</b>) and genus (<b>B</b>) levels.</p>
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<p>The relative abundance of the top 10 phyla (<b>A</b>) and genera (<b>B</b>) and the Pearson correlation analysis of volatile organic compounds (VIP ≥ 1).</p>
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14 pages, 2847 KiB  
Article
Time-Series Sensory Analysis Provided Important TI Parameters for Masking the Beany Flavor of Soymilk
by Miyu Masuda, Yuko Terada, Ryoki Tsuji, Shogo Nakano and Keisuke Ito
Foods 2023, 12(14), 2752; https://doi.org/10.3390/foods12142752 - 19 Jul 2023
Cited by 1 | Viewed by 1694
Abstract
The aim of this study is to provide a new perspective on the development of masking agents by examining the application of their time-series sensory profiles. The analysis of the relationship between 14 time-intensity (TI) parameters and the beany flavor masking ability of [...] Read more.
The aim of this study is to provide a new perspective on the development of masking agents by examining the application of their time-series sensory profiles. The analysis of the relationship between 14 time-intensity (TI) parameters and the beany flavor masking ability of 100 flavoring materials indicate that the values of AreaInc, DurDec, and AreaDec, TI parameters related to the flavor release in the increasing and decreasing phases, were significantly higher in the top 10 masking score materials than in the bottom 10 materials. In addition to individual analysis, machine learning analysis, which can derive complex rules from large amounts of data, was performed. Machine learning-based principal component analysis and cluster analysis of the flavoring materials presented AreaInc and AreaDec as TI parameters contributing to the classification of flavor materials and their masking ability. AreaDec was suggested to be particularly important for the beany flavor masking in the two different analyses: an effective masking can be achieved by focusing on the TI profiles of flavor materials. This study proposed that time-series profiles, which are mainly used for the understanding of the sensory characteristics of foods, can be applied to the development of masking agents. Full article
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<p>Example of time-intensity (TI) curve analysis and 14 TI parameters. Maple flavor (Maple_f) is shown as an example. (<b>A</b>) Raw data, (<b>B</b>) data after smoothing, (<b>C</b>) average curve, and (<b>D</b>) 14 TI parameters extracted from the average TI curve: (a) start time (Tstart), (b) end time (Tend), (c) maximum intensity of the curve (Imax), (d) plateau start time (TsPl), (e) plateau end time (TePl), (f) duration of the plateau phase (DurPl), (g) duration of the increasing phase (DurInc), (h) duration of the decreasing phase (DurDec), (i) maximum slope measured in the increasing phase (SIMInc), (j) maximum slope measured in the decreasing phase (SIMDec), (k) total area under the curve (AreaTse), (l) area under the curve during the increasing phase (AreaInc), (m) area under the curve during the decreasing phase (AreaDec), and (n) area under the curve during the plateau phase (AreaPl).</p>
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<p>Comparison of 8 time-intensity (TI) parameter values among the 100 food-flavoring materials. The data values of the 100 flavor materials were arranged in descending order from left to right. The eight TI parameters are as follows: (<b>A</b>) Tstart, (<b>B</b>) Imax, (<b>C</b>) AreaInc, (<b>D</b>) DurInc, (<b>E</b>) SIMInc, (<b>F</b>) AreaDec, (<b>G</b>) DurDec, and (<b>H</b>) SIMDec. The colors of the bars indicate the material types: blue for essence type, magenta for oil type, and light green for flavor type. a.u.: arbitrary unit.</p>
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<p>The masking score of the 100 flavor materials against beany flavor. The masking ability (score) of the 100 flavoring materials against the beany flavor of soymilk was arranged in descending order from left to right. The masking score of each flavoring material was calculated on a 10−point scale using the following equation: 10 − (median intensity of beany flavor) = masking score. The color of the bar indicates the material types: blue for essence type, magenta for oil type, and light green for flavor type.</p>
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<p>Comparison of TI parameter values between the top 10 and bottom 10 masking score materials. The eight TI parameter values, (<b>A</b>) Tstart, (<b>B</b>) Imax, (<b>C</b>) AreaInc, (<b>D</b>) DurInc, (<b>E</b>) SIMInc, (<b>F</b>) AreaDec, (<b>G</b>) DurDec, and (<b>H</b>) SIMDec were compared between the top 10 (red) and bottom 10 (black) masking score materials. The Mann–Whitney U test (two-tailed, α = 0.05) was used to test the significance of the differences between the two groups. * indicates <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Classification of the 100 flavoring materials based on their TI profiles: principal component analysis and cluster analysis using unsupervised learning. Cluster analysis using the k-means method (k = 3) was performed for the flavor materials based on their TI profiles, with the first principal component (PCA1) and the second principal component (PCA2) set as the x- and y-axes, respectively. Gray, cluster 0; black, cluster 1; and red, cluster 2.</p>
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20 pages, 11518 KiB  
Article
Insights into the Flavor Differentiation between Two Wild Edible Boletus Species through Metabolomic and Transcriptomic Analyses
by Kaixiang Chao, Tuo Qi, Qionglian Wan and Tao Li
Foods 2023, 12(14), 2728; https://doi.org/10.3390/foods12142728 - 18 Jul 2023
Cited by 2 | Viewed by 1663
Abstract
Despite the popularity of wild edible mushrooms due to their delectable flavor and nutritional value, the mechanisms involved in regulating and altering their taste remain underexplored. In this study, we analyzed the metabolome and transcriptome of Boletus brunneissimus (B. brunneissimus) and Leccinum extremiorientale [...] Read more.
Despite the popularity of wild edible mushrooms due to their delectable flavor and nutritional value, the mechanisms involved in regulating and altering their taste remain underexplored. In this study, we analyzed the metabolome and transcriptome of Boletus brunneissimus (B. brunneissimus) and Leccinum extremiorientale (L. extremiorientale), two Boletus species collected from different environments. Using UHPLC-MS, we annotated 644 peaks and identified 47 differential metabolites via OPLS-DA analysis. Eight of these were related to flavor, including L-Aspartic acid, Glycine, D-Serine, L-Serine, L-Histidine, Tryptophan, L-Isoleucine, Isoleucine, and alpha-D-Glucose. These differential metabolites were mainly concentrated in amino acid metabolism pathways. Transcriptome analysis revealed differential genes between B. brunneissimus and L. extremiorientale, which were enriched in protein processing in the endoplasmic reticulum, as well as differential genes of the same Boletus species in different environments that were enriched in the ribosome pathway. The combination of metabolome and transcriptome analyses highlighted Glycine, L-Serine, and L-Aspartic acid as the key compounds responsible for the differences between the two Boletus species. Using the O2PLS model and Pearson’s coefficient, we identified key genes that modulate the differences in metabolites between the two species. These results have significant implications for the molecular breeding of flavor in edible mushrooms. Full article
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<p>The classification of all metabolites and the metabolite expression abundance accumulation of the two <span class="html-italic">Boletus</span> species. (<b>a</b>) The classification of all metabolites of the two <span class="html-italic">Boletus</span> species. (<b>b</b>) The metabolite expression abundance accumulation of the two <span class="html-italic">Boletus</span> species. QC: Quality control samples. B_(Liujie, Lvzhi, Xiaoshiqiao): Collected from different locations of the <span class="html-italic">B. brunneissimus</span> sample. L_(Liujie, Lvzhi, Xiaoshiqiao): Collected from different locations of the <span class="html-italic">L. extremiorientale</span> sample.</p>
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<p>Analysis of the applicability of the OPLS-DA model to this study. (<b>a</b>) The principal component analysis (PCA) of samples from two <span class="html-italic">Boletus</span> species. (<b>b</b>) PCA of OPLS-DA model. (<b>c</b>) The correlation coefficient analysis of the OPLS-DA model. (<b>d</b>) The permutations analysis of the OPLS-DA model.</p>
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<p>The heatmap plot (<b>a</b>) and the volcano plot (<b>b</b>) of differentially expressed metabolites.</p>
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<p>The KEGG pathway rich plot (<b>a</b>) and the bubble plot (<b>b</b>) of differentially expressed metabolites.</p>
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<p>The cluster of DEGs of 18 wild edible <span class="html-italic">Boletus</span> samples. B.(Liujie, Lvzhi, Xiaoshiqiao): Collected from different locations of the <span class="html-italic">B.brunneissimus</span> sample. L.(Liujie, Lvzhi, Xiaoshiqiao): Collected from different locations of the <span class="html-italic">L. extremiorientale</span> sample.</p>
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<p>The KEGG pathway enrichment (<b>a</b>) and Go term (<b>b</b>) enrichment of <span class="html-italic">B. brunneissimus</span> vs. <span class="html-italic">L. extremiorientale</span>.</p>
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<p>The Venn plot (<b>a</b>) and Upset(<b>b</b>) plot of different comparison combinations of <span class="html-italic">B. brunneissimus vs L. extremiorientale</span>. B_(Liujie, Lvzhi, Xiaoshiqiao): Collected from different locations of the <span class="html-italic">B. Brunneissimus sample</span>. L_(Liujie, Lvzhi, Xiaoshiqiao): Collected from different locations of the <span class="html-italic">L. extremiorientale</span> sample.</p>
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<p>Correlation analysis between the metabolomics and transcriptomics data. The solid line represents the direct conversion of differential compounds; The dashed line represents the indirect transformation of differential compounds.</p>
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<p>Analysis results of O2PLS model. (<b>a</b>) The relationship between all DEMs and all DEGs. (<b>b</b>) The relationship between flavor-related DEMs and all DEGs.</p>
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11 pages, 1367 KiB  
Article
A Study of Key Aroma Compounds in Hurood Cheese and Their Potential Correlations with Lactic Acid Bacteria
by Yadong Wang, Hong Zeng, Yanping Cao, Shaojia Wang and Bei Wang
Fermentation 2023, 9(7), 670; https://doi.org/10.3390/fermentation9070670 - 17 Jul 2023
Cited by 2 | Viewed by 1814
Abstract
Hurood cheese (namely Hurood) is a traditional acid-coagulated cheese in China. This work investigated key aroma compounds and their potential correlations with dominant species of Hurood sampled from three distinct geographical origins. Key aroma compounds were determined according to Gas chromatography–mass spectrometry (GC–MS), [...] Read more.
Hurood cheese (namely Hurood) is a traditional acid-coagulated cheese in China. This work investigated key aroma compounds and their potential correlations with dominant species of Hurood sampled from three distinct geographical origins. Key aroma compounds were determined according to Gas chromatography–mass spectrometry (GC–MS), gas chromatography–olfactometry (GC–O), and relative odor active values (ROAVs) analyses. In addition, 16S rDNA sequencing was used to identify the dominant species. Furthermore, Pearson correlation analysis was used to determine the potential relationships between key aroma compounds and dominant species. A total of 31 key aroma compounds were identified in the Hurood samples from three regions. Lactobacillus paracasei, Lactobacillus crispatus, and Leuconostoc citreum were found to be significantly correlated with the key aroma compounds (p < 0.05) and were identified as the core species. This study shows the link between the presence of presumptive functional core microbes and the unique aroma profiles of this traditional dairy product. Full article
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<p>The process of making Hurood in the Inner Mongolia region, China.</p>
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<p>(<b>a</b>) An overview of the sampling location of the Hurood studied in this work. Samples U1–U4 (U) were obtained in the Ulanqab league; samples B1–B3 (B) were obtained in the Bayannur; samples X1–X3 (X) were obtained in the Xilingol league; (<b>b</b>). The relative abundance of bacterial communities at the species level of the Hurood; (<b>c</b>). Changes in bacteria community diversity of the Hurood (within the community). Based on the Shannon index of the Tukey test of α-Diversity (Different letters corresponding to statistically significant differences (<span class="html-italic">p</span> &lt; 0.05)); (<b>d</b>). Changes in the bacteria community diversity of the Hurood, based on weighted uniFrac distance metric <span class="html-italic">β</span>-Diversity.</p>
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<p>(<b>a</b>) An overview of the sampling location of the Hurood studied in this work. Samples U1–U4 (U) were obtained in the Ulanqab league; samples B1–B3 (B) were obtained in the Bayannur; samples X1–X3 (X) were obtained in the Xilingol league; (<b>b</b>). The relative abundance of bacterial communities at the species level of the Hurood; (<b>c</b>). Changes in bacteria community diversity of the Hurood (within the community). Based on the Shannon index of the Tukey test of α-Diversity (Different letters corresponding to statistically significant differences (<span class="html-italic">p</span> &lt; 0.05)); (<b>d</b>). Changes in the bacteria community diversity of the Hurood, based on weighted uniFrac distance metric <span class="html-italic">β</span>-Diversity.</p>
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<p>The correlation between core microbes and key aroma compounds in the Hurood samples. Blue represents negative correlations between aroma compounds and microorganisms, red represents positive correlations between aroma compounds and microorganisms.</p>
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24 pages, 5123 KiB  
Article
Comparative Analysis of Volatile Flavor Compounds in Strongly Flavored Baijiu under Two Different Pit Cap Sealing Processes
by Lingshan Li, Mei Fan, Yan Xu, Liang Zhang, Yu Qian, Yongqing Tang, Jinsong Li, Jinsong Zhao, Siqi Yuan and Jun Liu
Foods 2023, 12(13), 2579; https://doi.org/10.3390/foods12132579 - 1 Jul 2023
Viewed by 1697
Abstract
The solid-state fermentation process of strongly flavored Baijiu is complicated by the co-fermentation of many different microorganisms in the fermentation pools. The traditional fermentation pools of strong flavor Baijiu are sealed with mud, and this sealed-pit mud is not easy to maintain; therefore, [...] Read more.
The solid-state fermentation process of strongly flavored Baijiu is complicated by the co-fermentation of many different microorganisms in the fermentation pools. The traditional fermentation pools of strong flavor Baijiu are sealed with mud, and this sealed-pit mud is not easy to maintain; therefore, the pit cap is prone to cracks and to caving in. The destruction of the sealed-pit mud may lead to instability in the composition and an abundance of microorganisms in the fermentation process that results in fluctuations of product quality. Thus, the production method of replacing the mud cap with a new steel cap is gradually attracting the attention of scientific and technical workers in the industry. However, so far, there have been relatively few reports on the use of steel lids for sealing pits for fermentation and brewing. In this study, the volatile flavor components of 270 Baijiu samples from mud-sealing and steel-sealing pits of a Chinese Baijiu distillery were studied qualitatively and quantitatively using Gas Chromatography–Mass Spectrometry (Abbreviated as GC-MS). Our statistical methods included Hierarchical Cluster Analysis (Abbreviated as HCA), Principal Component Analysis (Abbreviated as PCA), and Discriminant Analysis (Abbreviated as DA). A statistical analysis was carried out on the yield of strongly flavored Baijiu, and we made a comprehensive evaluation of the Baijiu produced under the two pit-sealing modes with regard to flavor and economic efficiency. The yield of strong flavored Baijiu was 6.7% higher with steel-sealing pits compared with mud-sealing pits. Cluster analysis categorized the strongly flavored Baijiu samples into two categories initially: (1) samples produced using mud-sealing pits and (2) samples using steel-sealing pits. Our analysis also indicated that the 28 compounds used for quantification were selected correctly. Surprising to the experimental staff, the overall score for the steel-sealing pits was greater than that of the mud-sealing pits based on PCA. Using DA, the prediction results were 100% accurate. In summary, through a comparative analysis of the flavor and yield, which are the two main factors that affect the quality of Baijiu in a distillery, and systematic combination at both experimental and theoretical levels, the differences between the Baijiu production by steel-sealing and the traditional mud-sealing were clear. Regardless of the impact of age, the detectable flavor components of Baijiu from the mud-steeling pits were very consistent with those of the steel-sealing pits in terms of richness or concentration. However, steel-sealing pits were significantly superior to mud-sealing pits with respect to output, consistency in quality, and cost (human and economic) savings. Full article
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<p>Profile of traditional fermentation device (pit cap: mud) for producing strongly flavored Baijiu in China. (1—mud-sealing cap; 2—Grains of Baijiu; 3—Brewing pit; 4—Sealing the pit opening; 5—Included angle of prism clamp, Modified from Figure 1 in Lu et al., 2012 [<a href="#B14-foods-12-02579" class="html-bibr">14</a>]).</p>
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<p>Profile of pit cap improved fermentation device A(pit cap: steel) for producing strongly flavored Baijiu in China. (1—steel-sealing cap; 2—Lifting ring; 3—Fixing brackets; 4—Pit mud board; 5—Cover top; 6—Lower box; 7—Pit mud; 8—Grains of Baijiu; 9—Brewing pit, Modified from Figure 2 in Zhang, 2015 [<a href="#B11-foods-12-02579" class="html-bibr">11</a>]).</p>
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<p>Profile of pit cap improved fermentation device B(pit cap: steel) for producing strongly flavored Baijiu in China. (1—Lower box; 2—Upper cover body; 3—Lifting ring; 4—Lower box side reinforcements; 5—Pressure Gauges; 6—Material handling ports; 7—Outer side wall of the lower box; 8-Brewing pit; 9—Grains of Baijiu, Modified from Figure 3 in Zhang and Zhao et al., 2015 [<a href="#B17-foods-12-02579" class="html-bibr">17</a>]).</p>
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<p>Variation in the yield of strongly flavored Baijiu from the same pit using mud sealing or steel sealing under five sampling batches. ((<b>a</b>)—Pit No. 1; (<b>b</b>)—Pit No. 2; (<b>c</b>)—Pit No. 3).</p>
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<p>Yield of strongly flavored Baijiu from two different pit sealing methods. ((<b>a</b>)—1 segment of strong flavor Baijiu; (<b>b</b>)—2 segment of strong flavor Baijiu; (<b>c</b>)—3 segment of strong flavor Baijiu).</p>
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<p>Amount of volatile flavor compounds in the different layers of fermented grains in the process of making strongly flavored Baijiu in China.</p>
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<p>Clustering analysis of strongly flavored Baijiu with different pit sealing methods. ((<b>a</b>)—1 segment strong flavor Baijiu; (<b>b</b>)—2 segment strong flavor Baijiu; (<b>c</b>)—3 segment strong flavor Baijiu; The names of the letters in the above picture mean: initial “M” for mud-sealing pit, initial “S” for steel-sealing pit).</p>
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<p>Scatter plot of the main components of the flavor substances of Baijiu. ((<b>a</b>)—three-dimensional scatter plot of PC1, PC2, and PC3; (<b>b</b>)—plan view of PC1 and PC2).</p>
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<p>Scatter diagram of a typical discriminant analysis of the two sealing methods for strongly flavored Baijiu. ((<b>a</b>)—upper layer of grain; (<b>b</b>)—middle layer of grain; (<b>c</b>)—lower layer of grain; The names of the letters in the above picture mean: MSP for mud-sealing pits, SSP for steel-sealing pits; 1—1 segment strong flavor Baijiu; 2—2 segment strong flavor Baijiu; 3—3 segment strong flavor Baijiu).</p>
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16 pages, 3474 KiB  
Article
Exploring the Aroma Fingerprint of Various Chinese Pear Cultivars through Qualitative and Quantitative Analysis of Volatile Compounds Using HS-SPME and GC×GC-TOFMS
by Wenjun Zhang, Mengmeng Yan, Xinxin Zheng, Zilei Chen, Huidong Li, Jiangsheng Mao, Hongwei Qin, Chao Zhu, Hongxia Du and A. M. Abd El-Aty
Molecules 2023, 28(12), 4794; https://doi.org/10.3390/molecules28124794 - 15 Jun 2023
Cited by 5 | Viewed by 1845
Abstract
To comprehensively understand the volatile compounds and assess the aroma profiles of different types of Pyrus ussuriensis Maxim. Anli, Dongmili, Huagai, Jianbali, Jingbaili, Jinxiangshui, and Nanguoli were detected via headspace solid phase microextraction (HS-SPME) coupled with two-dimensional gas chromatography/time-of-flight mass spectrometry (GC×GC-TOFMS). The [...] Read more.
To comprehensively understand the volatile compounds and assess the aroma profiles of different types of Pyrus ussuriensis Maxim. Anli, Dongmili, Huagai, Jianbali, Jingbaili, Jinxiangshui, and Nanguoli were detected via headspace solid phase microextraction (HS-SPME) coupled with two-dimensional gas chromatography/time-of-flight mass spectrometry (GC×GC-TOFMS). The aroma composition, total aroma content, proportion and number of different aroma types, and the relative quantities of each compound were analyzed and evaluated. The results showed that 174 volatile aroma compounds were detected in various cultivars, mainly including esters, alcohols, aldehydes, and alkenes: Jinxiangshui had the highest total aroma content at 2825.59 ng/g; and Nanguoli had the highest number of aroma species detected at 108. The aroma composition and content varied among pear varieties, and the pears could be divided into three groups based on principal component analysis. Twenty-four kinds of aroma scents were detected; among them, fruit and aliphatic were the main fragrance types. The proportions of aroma types also varied among different varieties, visually and quantitatively displaying changes of the whole aroma of the different varieties of pears brought by the changes in aroma composition. This study contributes to further research on volatile compound analysis, and provides useful data for the improvement of fruit sensory quality and breeding work. Full article
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<p>Total ion chromatograms of the aromatic components of different pear cultivars. Note: (<b>A</b>): aroma fingerprint of Anli; (<b>B</b>): aroma fingerprint of Dongmili; (<b>C</b>): aroma fingerprint of Huagai; (<b>D</b>): aroma fingerprint of Jianbali; (<b>E</b>): aroma fingerprint of Jingbaili; (<b>F</b>): aroma fingerprint of Jinxiangshui; (<b>G</b>): aroma fingerprint of Nanguoli.</p>
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<p>The number of different types of aroma substances in pears.</p>
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<p>Relative content proportions of different volatile compounds in seven pear cultivars.</p>
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<p>Cluster heatmap analysis of volatile organic compounds in 7 pear cultivars.</p>
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<p>Principal component analysis of volatile organic compounds in 7 pear cultivars.</p>
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<p>Analysis of aroma characteristic percentage distributions of 7 pear cultivars. Note: A: aliphatic; B: ice; C: citrus; D: dairy; E: edible; F: fruit; G: green; H: herb; I: iris; J: jasmin; K: konifer; L: it-chem; M: muguet; N: narcotic; O: orchid; P: phenol; Q: balsam; R: rose; S: animal; T: smoke; U: animal; W: wood; X: musk; Y: earthy; Z: solvent.</p>
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16 pages, 4043 KiB  
Article
New Insight into the Substrate Selectivity of Bovine Milk γ-glutamyl Transferase via Structural and Molecular Dynamics Predictions
by Lichuang Cao, Cameron J. Hunt, Anne S. Meyer and René Lametsch
Molecules 2023, 28(12), 4657; https://doi.org/10.3390/molecules28124657 - 9 Jun 2023
Viewed by 1989
Abstract
Bovine milk γ-glutamyltransferase (BoGGT) can produce γ-glutamyl peptides using L-glutamine as a donor substrate, and the transpeptidase activity is highly dependent on both γ-glutamyl donors and acceptors. To explore the molecular mechanism behind the donor and acceptor substrate preferences for BoGGT, molecular docking [...] Read more.
Bovine milk γ-glutamyltransferase (BoGGT) can produce γ-glutamyl peptides using L-glutamine as a donor substrate, and the transpeptidase activity is highly dependent on both γ-glutamyl donors and acceptors. To explore the molecular mechanism behind the donor and acceptor substrate preferences for BoGGT, molecular docking and molecular dynamic simulations were performed with L-glutamine and L-γ-glutamyl-p-nitroanilide (γ-GpNA) as donors. Ser450 is a crucial residue for the interactions between BoGGT and donors. BoGGT forms more hydrogen bonds with L-glutamine than γ-GpNA, promoting the binding affinity between BoGGT and L-glutamine. Gly379, Ile399, and Asn400 are crucial residues for the interactions between the BoGGT intermediate and acceptors. The BoGGT intermediate forms more hydrogen bonds with Val-Gly than L-methionine and L-leucine, which can promote the transfer of the γ-glutamyl group from the intermediate to Val-Gly. This study reveals the critical residues responsible for the interactions of donors and acceptors with the BoGGT and provides a new understanding of the substrate selectivity and catalytic mechanism of GGT. Full article
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<p>AlphaFold prediction on the three-dimensional structure of bovine milk γ-glutamyl transferase. (<b>A</b>) Three-dimensional structure of bovine milk γ-glutamyl transferase displayed in various colors based on model confidence. Note: The per-residue confidence score (pLDDT) is utilized to assign a color to each residue in the model. Residues with extremely high confidence (pLDDT &gt; 90) are shown in blue, while those with high confidence (70 &lt; pLDDT &lt; 90) are shown in cyan. On the contrary, residues with low confidence (50 &lt; pLDDT &lt; 70) are displayed in yellow, while very low confidence residues (pLDDT &lt; 50) are represented in orange. (<b>B</b>) Three-dimensional structure of bovine milk γ-glutamyl transferase with light and heavy chains shown in different colors.</p>
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<p>Interactions between γ-glutamyl transferase from bovine milk and γ-glutamyl donor. (<b>A</b>) Interactions between bovine γ-glutamyl transferase and L-glutamine. (<b>B</b>) Interactions between bovine γ-glutamyl transferase and L-γ-glutamyl-<span class="html-italic">p</span>-nitroanilide. Note: The atoms in silver represent hydrogen; the atoms in blue and red represent nitrogen and oxygen, respectively.</p>
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<p>Interactions between γ-glutamyl transferase from bovine milk and γ-glutamyl donor. (<b>A</b>) Interactions between bovine γ-glutamyl transferase and L-glutamine. (<b>B</b>) Interactions between bovine γ-glutamyl transferase and L-γ-glutamyl-<span class="html-italic">p</span>-nitroanilide. Note: The atoms in silver represent hydrogen; the atoms in blue and red represent nitrogen and oxygen, respectively.</p>
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<p>Molecular dynamic simulations of BoGGT–donor complexes. (<b>A</b>) Root-mean-square deviation of C<sub>α</sub> of BoGGT–donor. (<b>B</b>) Root-mean-square deviation of BoGGT backbone and donor substrate. (<b>C</b>) Root-mean-square fluctuations (RMSFs) of BoGGT from BoGGT–Gln and BoGGT–G<span class="html-italic">p</span>NA complexes. (<b>D</b>) Hydrogen bond numbers between BoGGT and the donor substrate. (<b>E</b>) Distance between the hydroxyl oxygen atom on Thr380 of BoGGT and the amide carbon on the donor substrate.</p>
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<p>Molecular dynamic simulations of BoGGT–donor complexes. (<b>A</b>) Root-mean-square deviation of C<sub>α</sub> of BoGGT–donor. (<b>B</b>) Root-mean-square deviation of BoGGT backbone and donor substrate. (<b>C</b>) Root-mean-square fluctuations (RMSFs) of BoGGT from BoGGT–Gln and BoGGT–G<span class="html-italic">p</span>NA complexes. (<b>D</b>) Hydrogen bond numbers between BoGGT and the donor substrate. (<b>E</b>) Distance between the hydroxyl oxygen atom on Thr380 of BoGGT and the amide carbon on the donor substrate.</p>
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<p>Molecular dynamic simulations of the γ-glutamyl–BoGGT intermediate. (<b>A</b>) Diagram of the γ-glutamyl-threonine on the γ-glutamyl–BoGGT intermediate. (<b>B</b>) Three-dimensional structure of the γ-glutamyl–BoGGT intermediate. Note: The atoms in silver represent hydrogen; the atoms in blue and red represent nitrogen and oxygen, respectively. (<b>C</b>) Root-mean-square deviation of backbone and alpha-carbon from the γ-glutamyl–BoGGT intermediate.</p>
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<p>Interactions between the γ-glutamyl–BoGGT intermediate and γ-glutamyl acceptors. (<b>A</b>) Interactions between the γ-glutamyl–BoGGT intermediate and Val-Gly. (<b>B</b>) Interactions between the γ-glutamyl–BoGGT intermediate and L-methionine. (<b>C</b>) Interactions between the γ-glutamyl–BoGGT intermediate and L-leucine. Note: The atoms in silver and yellow represent hydrogen and sulfur, respectively. The atoms in blue and red represent nitrogen and oxygen, respectively.</p>
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<p>Interactions between the γ-glutamyl–BoGGT intermediate and γ-glutamyl acceptors. (<b>A</b>) Interactions between the γ-glutamyl–BoGGT intermediate and Val-Gly. (<b>B</b>) Interactions between the γ-glutamyl–BoGGT intermediate and L-methionine. (<b>C</b>) Interactions between the γ-glutamyl–BoGGT intermediate and L-leucine. Note: The atoms in silver and yellow represent hydrogen and sulfur, respectively. The atoms in blue and red represent nitrogen and oxygen, respectively.</p>
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<p>Molecular dynamic simulations of the γ-glutamyl–BoGGT intermediate–acceptor complexes. (<b>A</b>) Root-mean-square deviation of Cα of the γ-glutamyl–BoGGT intermediate–acceptor. (<b>B</b>) Distance between the hydroxyl oxygen atom on residue380 of the γ-glutamyl–BoGGT intermediate and the nitrogen on the acceptor substrate. (<b>C</b>) Hydrogen bond numbers between the γ-glutamyl–BoGGT intermediate and the acceptor substrate.</p>
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16 pages, 3710 KiB  
Article
Exploring the Characteristic Aroma Components of Traditional Fermented Koumiss of Kazakh Ethnicity in Different Regions of Xinjiang by Combining Modern Instrumental Detection Technology with Multivariate Statistical Analysis Methods for Odor Activity Value and Sensory Analysis
by Yongzhen Gou, Xinmiao Ma, Xiyue Niu, Xiaopu Ren, Geminguli Muhatai and Qian Xu
Foods 2023, 12(11), 2223; https://doi.org/10.3390/foods12112223 - 31 May 2023
Cited by 2 | Viewed by 1539
Abstract
To investigate the characteristic aromatic compounds, present in the traditional fermented koumiss of the Kazakh ethnic group in different regions of Xinjiang, GC-IMS, and GC-MS were used to analyze the volatile compounds in koumiss from four regions. A total of 87 volatile substances [...] Read more.
To investigate the characteristic aromatic compounds, present in the traditional fermented koumiss of the Kazakh ethnic group in different regions of Xinjiang, GC-IMS, and GC-MS were used to analyze the volatile compounds in koumiss from four regions. A total of 87 volatile substances were detected, and esters, acids, and alcohols were found to be the main aroma compounds in koumiss. While the types of aroma compounds in koumiss were similar across different regions, the differences in their concentrations were significant and displayed clear regional characteristics. The fingerprint spectrum of GC-IMS, combined with PLS-DA analysis, indicates that eight distinctive volatile compounds, including ethyl butyrate, can be utilized to distinguish between different origins. Additionally, we analyzed the OVA value and sensory quantification of koumiss in different regions. We found that aroma components such as ethyl caprylate and ethyl caprate, which exhibit buttery and milky characteristics, were prominent in the YL and TC regions. In contrast, aroma components such as phenylethanol, which feature a floral fragrance, were more prominent in the ALTe region. The aroma profiles of koumiss from the four regions were defined. These studies provide theoretical guidance for the industrial production of Kazakh koumiss products. Full article
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Figure 1

Figure 1
<p>Depicts the fermentation methods of traditional koumiss from different regions. Panel (<b>a</b>) represents the YL region, panel (<b>b</b>) the TC region, panel (<b>c</b>) the ALTe region, and panel (<b>d</b>) the ALTw region.</p>
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<p>GC-IMS analysis of koumiss from different regions. (<b>a</b>) Top view of the 3D spectrum of the volatile components of koumiss from different regions. (<b>b</b>) 2D comparison chart of the volatile components of koumiss from different regions. (<b>c</b>) The fingerprint spectra of the volatile constituents in koumiss from distinct regions. The delineated color zones represent the variances in volatile substances among different regions.</p>
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<p>GC-IMS analysis of koumiss from different regions. (<b>a</b>) Top view of the 3D spectrum of the volatile components of koumiss from different regions. (<b>b</b>) 2D comparison chart of the volatile components of koumiss from different regions. (<b>c</b>) The fingerprint spectra of the volatile constituents in koumiss from distinct regions. The delineated color zones represent the variances in volatile substances among different regions.</p>
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<p>The Wayne diagram of the number of aroma substances determined by GC-MS and GC-IMS.</p>
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<p>PLS-DA analysis of koumiss from different regions. (<b>a</b>) Score plot of PLS-DA; (<b>b</b>) Cross-validation results based on 200 permutation tests; (<b>c</b>) Ranking of volatile substances based on VIP scores. The red part is the substance with VIP value greater than 1. The green area is for substances with VIP finger less than 1.</p>
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<p>Changes in the total content of alcohols, acids, esters, aldehydes, and ketones in koumiss from different regions. Letters a, b, and c indicate significant differences (<span class="html-italic">p</span> &gt; 0.05) in the content of these compounds among different samples.</p>
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<p>Radar chart of sensory analysis of koumiss from different regions.</p>
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25 pages, 5133 KiB  
Article
The Impact of Fermentation Temperature and Cap Management on Selected Volatile Compounds and Temporal Sensory Characteristics of Grenache Wines from the Central Coast of California
by Emily S. Stoffel, Taylor M. Robertson, Anibal A. Catania and L. Federico Casassa
Molecules 2023, 28(10), 4230; https://doi.org/10.3390/molecules28104230 - 22 May 2023
Cited by 2 | Viewed by 2098
Abstract
Grenache wines from the Central Coast of California were subjected to different alcoholic fermentation temperature regimes (Cold, Cold/Hot, Hot) and cap management protocols, namely, punch down (PD), or no punch down (No PD), to determine the effect of these practices on the color, [...] Read more.
Grenache wines from the Central Coast of California were subjected to different alcoholic fermentation temperature regimes (Cold, Cold/Hot, Hot) and cap management protocols, namely, punch down (PD), or no punch down (No PD), to determine the effect of these practices on the color, aroma, and the retronasal and mouthfeel sensory characteristics of the resulting wines. Descriptive analysis (n = 8, line scale rating 0–15) results indicated that the combination of a hot fermentation temperature and no punch downs led to a significantly higher intensity in perceived color saturation (7.89) and purple hue (8.62). A two-way analysis of variance (ANOVA) showed that cap management was significantly more impactful on the perception of orthonasal aromas than fermentation temperature. The reduction aroma was significantly higher in No PD wines (5.02) compared to PD wines (3.50), while rose and hot aromas had significantly higher intensity perception for PD wines (5.18, 6.80) than for No PD wines (6.80, 6.14). Conversely, analysis of selected volatile compounds indicated that fermentation temperature was more impactful than cap management regime. Cold/Hot wines had higher concentrations of important esters such as ethyl hexanoate (650 µg/L) and isoamyl acetate (992 µg/L). Cold wines had a higher concentration of β-damascenone (0.719 µg/L). TCATA evaluation (n = 8) indicated that Cold/Hot PD wines had a significantly higher citation proportion of fruit flavor (1.0) and velvet astringency perception (0.80) without significant reduction flavors. Finally, the present study represents a contribution with the main volatile compounds (e.g., β-damascenone and esters in the Cold and Cold/Hot fermented wines, respectively; hexanol in PD wines, which may be potentially responsible for a hot mouthfeel), and sensory characteristics (red fruit, tropical fruit, white pepper, and rose) of Grenache wines grown in the Mediterranean climate of the Central Coast of California. Full article
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Graphical abstract

Graphical abstract
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<p>Principal component analysis of descriptive analysis data Grenache wines evaluated by a trained sensory panel (<span class="html-italic">n</span> = 8). (<b>A</b>) Treatment confidence ellipses constructed using Hotelling’s T2 test (<span class="html-italic">p</span> &lt; 0.05) for each pair of products indicate 95% confidence intervals. (<b>B</b>) Sensory attribute loadings.</p>
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<p>Partial least square regression analysis of volatile chemistry and sensory attributes. (<b>A</b>) Wine treatments (■). (<b>B</b>) Correlation loading of the relationship between the volatile chemistry (<span style="color:red">●</span>) and sensory attributes (<span style="color:#0070C0">▲</span>). O: indicates orthonasal aroma; R: indicates retronasal aroma; V<sub>max</sub>: maximum citation proportion; T<sub>max</sub>: time of maximum citation proportion; AUC: area under the curve, total intensity response.</p>
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<p>Principal component analysis for the trajectory timeline (seconds) of TCATA attributes in Grenache wines evaluated by a trained sensory panel (<span class="html-italic">n</span> = 8).</p>
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<p>Temporal check-all-that-apply (TCATA) curves. (<b>A</b>) Cold PD; (<b>B</b>) Cold No PD; (<b>C</b>) Cold/Hot PD; (<b>D</b>) Cold/Hot No PD; (<b>E</b>) Hot PD; (<b>F</b>) Hot No PD. When attributes within each treatment are significantly different from all other wines the line is highlighted, and a dotted reference line of the same attribute indicates where the average citation proportion of the other wines is for that attribute.</p>
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<p>TCATA evaluation procedure.</p>
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