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Search Results (395)

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15 pages, 5144 KiB  
Article
Insights into the Flavor Profile of Yak Jerky from Different Muscles Based on Electronic Nose, Electronic Tongue, Gas Chromatography–Mass Spectrometry and Gas Chromatography–Ion Mobility Spectrometry
by Bingde Zhou, Xin Zhao, Luca Laghi, Xiaole Jiang, Junni Tang, Xin Du, Chenglin Zhu and Gianfranco Picone
Foods 2024, 13(18), 2911; https://doi.org/10.3390/foods13182911 - 14 Sep 2024
Viewed by 246
Abstract
It is well known that different muscles of yak exhibit distinctive characteristics, such as muscle fibers and metabolomic profiles. We hypothesized that different muscles could alter the flavor profile of yak jerky. Therefore, the objective of this study was to investigate the differences [...] Read more.
It is well known that different muscles of yak exhibit distinctive characteristics, such as muscle fibers and metabolomic profiles. We hypothesized that different muscles could alter the flavor profile of yak jerky. Therefore, the objective of this study was to investigate the differences in flavor profiles of yak jerky produced by longissimus thoracis (LT), triceps brachii (TB) and biceps femoris (BF) through electronic nose (E-nose), electronic tongue (E-tongue), gas chromatography–mass spectrometry (GC-MS) and gas chromatography–ion mobility spectrometry (GC-IMS). The results indicated that different muscles played an important role on the flavor profile of yak jerky. And E-nose and E-tongue could effectively discriminate between yak jerky produced by LT, TB and BF from aroma and taste points of view, respectively. In particular, the LT group exhibited significantly higher response values for ANS (sweetness) and NMS (umami) compared to the BF and TB groups. A total of 65 and 47 volatile compounds were characterized in yak jerky by GC-MS and GC-IMS, respectively. A principal component analysis (PCA) model and robust principal component analysis (rPCA) model could effectively discriminate between the aroma profiles of the LT, TB and BF groups. Ten molecules could be considered potential markers for yak jerky produced by different muscles, filtered based on the criteria of relative odor activity values (ROAV) > 1, p < 0.05, and VIP > 1, namely 1-octen-3-ol, eucalyptol, isovaleraldehyde, 3-carene, D-limonene, γ-terpinene, hexanal-D, hexanal-M, 3-hydroxy-2-butanone-M and ethyl formate. Sensory evaluation demonstrated that the yak jerky produced by LT exhibited superior quality in comparison to that produced by BF and TB, mainly pertaining to lower levels of tenderness and higher color, taste and aroma levels. This study could help to understand the specific contribution of different muscles to the aroma profile of yak jerky and provide a scientific basis for improving the quality of yak jerky. Full article
(This article belongs to the Special Issue Quantitative NMR and MRI Methods Applied for Foodstuffs)
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<p>Sample preparation flowchart. <span class="html-italic">Longissimus thoracis</span> (LT), <span class="html-italic">triceps brachii</span> (TB) and <span class="html-italic">biceps femoris</span> (BF).</p>
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<p>Score plot and loading plot of robust principal component analysis (rPCA) models based on electronic nose (E-nose) (<b>a</b>,<b>b</b>) and electronic tongue (E-tongue) (<b>c</b>,<b>d</b>) response data.</p>
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<p>(<b>a</b>) Venn diagram plot of the number of volatile compounds in yak jerky from different muscles. (<b>b</b>) Bar plot of the percentage of volatile compound species in yak jerky from different muscles. (<b>c</b>) Principal component analysis (PCA) model based on volatile compounds in yak jerky from different muscles. (<b>d</b>) VIP score plots for the partial least-squares discriminant analysis (PLS-DA) model on volatile compounds in yak jerky from different muscles.</p>
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<p>Gas chromatography–ion mobility spectrometry (GC-IMS) observation results of yak jerky from different muscles. (<b>a</b>) 3D topographic plot. (<b>b</b>) Subtraction plot, with spectra from TB group as a reference and the corresponding spectra from LT and BF groups represented as differences from TB group. (<b>c</b>) Gallery plots indicating the variations in volatile compounds’ concentrations among the four groups. Red and blue colors highlight over- and underexpressed components, respectively.</p>
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<p>(<b>a</b>) Bar plot of the relative content of volatile compound species in yak jerky from different muscles characterized by GC-IMS. (<b>b</b>) Venn diagram plot of the number of volatile compounds characterized by GC-MS and GC-IMS.</p>
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<p>The rPCA model was established based on the relative content of GC-IMS differential volatile compounds. (<b>a</b>) The score plot shows the samples from the three groups as follows: squares (LT), circles (TB) and triangles (BF). The median of each group is represented by a wide and empty circle. (<b>b</b>) The loading plot illustrates the significant correlation between the molecule concentration and their importance along PC 1.</p>
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<p>Radar chart for sensory evaluation of yak jerky from different muscles.</p>
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<p>Correlation analysis of E-nose, E-tongue, sensory evaluation and volatile compounds quantified by GC-IMS (<b>a</b>) and GC-MS (<b>b</b>). The size of node is indicative of the number of substances that are significantly correlated with the substance in question. The blue circles represent the E-nose and E-tongue probes; the pink squares represent volatile compounds; and the yellow triangles represent sensory evaluation. In addition, the larger the node, the greater the number of substances with which it is significantly correlated. The thickness of line is representative of the size of the absolute value of the correlation between two substances. In this context, the thicker the line, the greater the absolute value of the correlation between the two substances.</p>
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23 pages, 1816 KiB  
Article
Nutritional, Bioactive, and Volatile Characteristics of Two Types of Sorbus domestica Undervalued Fruit from Northeast of Iberian Peninsula, Spain
by María Dolores Raigón Jiménez, María Dolores García-Martínez, Patricia Esteve Ciudad and Tamara Fukalova Fukalova
Molecules 2024, 29(18), 4321; https://doi.org/10.3390/molecules29184321 - 12 Sep 2024
Viewed by 281
Abstract
The promotion of food from underutilized plants can help combat biodiversity loss, foster cultural preservation, and empower farmers in the face of market pressures and sustainable production conditions. The nutritional and aromatic characterization of two undervalued types of Sorbus domestica fruits, differentiated by [...] Read more.
The promotion of food from underutilized plants can help combat biodiversity loss, foster cultural preservation, and empower farmers in the face of market pressures and sustainable production conditions. The nutritional and aromatic characterization of two undervalued types of Sorbus domestica fruits, differentiated by their apple and pear shapes, has been carried out. Official Association of Analytical Communities methods have been used for proximate composition and mineral analysis determinations, and gas chromatography was used for the analysis of volatile components in three states of ripeness and compared with the aromas of fresh apple and quince jam. S. domestica fruits are a good source of K, Ca, Fe, and fiber and are an important source of antioxidants in the human diet. S. domestica fruits have proven to be very distinctive in the aromatic fraction. 1-hexanol, hexyl 1,3-octanediol, phenylacetaldehyde, nonanal, hexanal, and α-farnesene are the most potent odor compounds in the overripening stage of the fruits. The aroma profiles of immature S. domestica fruits were dominated by aldehydes, while in the overripe stage, the fruit accumulated abundant esters, alcohols, and sesquiterpenoids. S. domestica fruits could be introduced as an alternative to seasonal fruit consumption and could generate sustainable production and consumption alternatives while recovering cultural and food heritage. Full article
(This article belongs to the Special Issue Active Ingredients in Functional Foods and Their Impact on Health)
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<p>General characteristics of <span class="html-italic">Sorbus domestica</span>.</p>
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<p>Scatter plot of the weights of the main factors of the aroma chemical families in <span class="html-italic">Sorbus domestica</span>.</p>
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<p>Cluster identification using the volatile profile.</p>
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<p><span class="html-italic">Sorbus domestica</span> fruits apple-shaped type: (<b>a</b>) complete unripe fruit; (<b>b</b>) cross-section of ripe fruit.</p>
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<p><span class="html-italic">Sorbus domestica</span> fruits pear-shaped type: (<b>a</b>) complete unripe fruit; (<b>b</b>) cross-section of ripe fruit.</p>
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14 pages, 2565 KiB  
Article
The Role of Indigenous Yeasts in Shaping the Chemical and Sensory Profiles of Wine: Effects of Different Strains and Varieties
by Xin-Ke Zhang, Pei-Tong Liu, Xiao-Wei Zheng, Ze-Fu Li, Jian-Ping Sun, Jia-Shuo Fan, Dong-Qing Ye, De-Mei Li, Hai-Qi Wang, Qing-Quan Yu and Zi-Yuan Ding
Molecules 2024, 29(17), 4279; https://doi.org/10.3390/molecules29174279 - 9 Sep 2024
Viewed by 407
Abstract
The microbial terroir is an indispensable part of the terroir panorama, and can improve wine quality with special characteristics. In this study, eight autochthonous yeasts (Saccharomyces cerevisiae), selected in Huailai country, China, were trailed in small-scale and pilot fermentations for both [...] Read more.
The microbial terroir is an indispensable part of the terroir panorama, and can improve wine quality with special characteristics. In this study, eight autochthonous yeasts (Saccharomyces cerevisiae), selected in Huailai country, China, were trailed in small-scale and pilot fermentations for both white (Riesling and Sémillon) and red (Cabernet Sauvignon and Syrah) wines and evaluated by GC-MS analysis and the rate-all-that-apply (RATA) method. Compared to commercial yeast strains, the indigenous yeasts were able to produce higher concentrations of ethyl esters and fatty acid ethyl esters, and higher alcohol, resulting in higher odor activity values of fruity, floral attributes. Marked varietal effects were observed in the pilot fermentation, but yeast strains exerted a noticeable impact in modulating wine aroma and sensory profile. Overall, indigenous yeast could produce more preferred aroma compounds and sensory characteristics for both white and red wines, demonstrating the potential for improving wine quality and regional characteristics. Full article
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<p>Principal component analysis (PCA) of the concentration of aroma compounds using indigenous and commercial yeasts in small-scale fermentation. (Indigenous strains: 60,669, 60,673, 60,717, 60,722, 60,728, 60,682, 60,685, 60,690; commercial strains: EC1118). (<b>A</b>), score plot of PCA; (<b>B</b>), loading plot of PCA.</p>
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<p>Aroma characteristics of indigenous and commercial yeasts based on the odor activity value (OAV) of aroma compounds in small-scale fermentations. (Indigenous strains: 60,669, 60,673, 60,717, 60,722, 60,728, 60,682, 60,685, 60,690; commercial strain: EC1118). Note: same lowercase letters indicates no significant difference (<span class="html-italic">p</span> &lt; 0.05, Tukey’s post hoc test).</p>
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<p>Factor analysis in mixed data (FAMD) showed the effects of strains and varieties (<b>A</b>,<b>C</b>) on the concentrations of aroma compounds in the pilot fermentations with indigenous and commercial yeasts, and the contributors of the model (<b>B</b>,<b>D</b>). (Indigenous strains: 60,669, 60,673, 60,717, 60,722, 60,728, 60,682, 60,685, 60,690; commercial strains: VL1, VL2, and F15).</p>
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<p>Multiple factor analysis (MFA) showing the effects of strains and varieties on wine sensory profiles with indigenous and commercial yeasts (<b>A</b>,<b>B</b>), and the corresponding sensory attributes (<b>C</b>,<b>D</b>) based on the rate-all-that-apply (RATA) method. (Indigenous strains: 60,669, 60,673, 60,717, 60,722, 60,728, 60,682, 60,685, 60,690; commercial strain: EC1118).</p>
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19 pages, 2706 KiB  
Article
Unraveling the Impacts of Germination on the Volatile and Fatty Acid Profile of Intermediate Wheatgrass (Thinopyrum intermedium) Seeds
by Wellington S. Oliveira, Qianqian Chen, Dana Edleman, George A. Annor and Fernanda F. G. Dias
Molecules 2024, 29(17), 4268; https://doi.org/10.3390/molecules29174268 - 9 Sep 2024
Viewed by 508
Abstract
Intermediate wheatgrass (IWG) is a promising perennial grain explored for mainstream food applications. This study investigated the effects of different germination temperatures (10, 15, and 20 °C) and durations (2, 4, and 6 days) on IWG’s volatile and fatty acid (FA) profiles. A [...] Read more.
Intermediate wheatgrass (IWG) is a promising perennial grain explored for mainstream food applications. This study investigated the effects of different germination temperatures (10, 15, and 20 °C) and durations (2, 4, and 6 days) on IWG’s volatile and fatty acid (FA) profiles. A method using headspace solid-phase microextraction coupled with gas chromatography–mass spectrometry (HS-SPME-GC-MS) was optimized through response surface design to extract the volatile compounds, achieving ideal extraction conditions at 60 °C for 55 min. Multiple headspace extraction (MHE) was used for volatile compound quantification. Fifty-eight compounds were identified and quantified in IWG flour, mainly alcohols, aldehydes, hydrocarbons, terpenes, esters, organic acids, and ketones. The main FAs found were linoleic acid (C18:2), oleic acid (C18:1), palmitic acid (C16:0), and linolenic acid (C18:3). Principal component analysis showed a direct correlation between volatile oxidation products and FA composition. Germination at 15 °C for 6 days led to a reduced presence of aldehydes and alcohols such as nonanal and 1-pentanol. Therefore, optimized germination was successful in reducing the presence of potential off-odor compounds. This study provides valuable insights into the effects of germination on IWG flour, showing a way for its broader use in food applications. Full article
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Graphical abstract

Graphical abstract
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<p>Diagram of the IWG germination process.</p>
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<p>Extraction efficiency of the SPME fiber coatings tested. The results are expressed as the average of the triplicates for the total area of the chromatogram ± standard deviation for the volatiles from IWG by HS-SPME-GC/MS.</p>
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<p>Response surface (<b>A</b>) and contour plots (<b>B</b>) of the impact of time and temperature on the total area of volatiles from IWG.</p>
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<p>Decay after 6 extractions (<b>A</b>–<b>C</b>) and overlaid signals of the first extraction (<b>D</b>) for hexanal using 600, 800, and 1000 mg of sample.</p>
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<p>Circus plot showing the profile of volatiles quantified in IWG sample before and after germination at 10, 15, and 20 °C in 2, 4, and 6 days.</p>
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<p>Principal component analysis with score plots (<b>A</b>) and loadings (<b>B</b>) for volatiles from IWG samples.</p>
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15 pages, 2249 KiB  
Article
Exploring the Volatile Profile of Vanilla planifolia after Fermentation at Low Temperature with Bacillus Isolates
by Thabani-Sydney Manyatsi, Yu-Hsin Lin, Pin-Hui Sung and Ying-Tzy Jou
Foods 2024, 13(17), 2777; https://doi.org/10.3390/foods13172777 - 30 Aug 2024
Viewed by 485
Abstract
Vanilla planifolia is grown as a high-value orchid spice for its odor and savor attributes that increase due to the curing process associated with microbial colonization. This tends to influence the aromatic properties of vanilla. Hence, 11 Bacillus sp. strains were isolated from [...] Read more.
Vanilla planifolia is grown as a high-value orchid spice for its odor and savor attributes that increase due to the curing process associated with microbial colonization. This tends to influence the aromatic properties of vanilla. Hence, 11 Bacillus sp. strains were isolated from V. planifolia and identified with 16S rRNA gene sequencing. The liquid culture (1 mL of 107 CFU mL−1) of selected Bacillus vallismortis NR_104873.1:11-1518, Bacillus velezensis ZN-S10, and Bacillus tropicus KhEp-2 effectively fermented green-blanched vanilla pods kept at 10 °C during the sweating stage. GC-MS analysis showed that the methanol extract of non-coated, and B. vallismortis treated vanilla detected three (3) volatile compounds, whereas seven (7) components were obtained in B. tropicus and B. velezensis treatment. 4H-pyran-4-one, 2,3-dihydro-3,5-dihydroxy-6-methyl was found in B. velezensis ZN-S10, B. tropicus KhEp-2, and B. vallismortis while it was not present in the control samples. This ketone compound suggested a Maillard reaction resulting in brown-increased aroma pods. Linoleic acid and Hexadecanoic acid ethyl esters were detected only in ZN-S10 strain-coated vanilla. A novel 3-Deoxy-d-mannoic lactone was detected only in B. vallismortis-treated vanilla characterized as a new compound in V. planifolia which suggested that the new compound can be altered with the coating of bacteria in vanilla during fermentation. Thus, the Bacillus strains improved the volatile profile and exhibited a new aroma and flavor profile of vanilla owing to bacteria fermentation during the curing process. Full article
(This article belongs to the Section Food Biotechnology)
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<p>Vanilla plants in a greenhouse (<b>left</b>) in Pingtung, Taiwan, being harvested as green matured vanilla pods (<b>right</b>) used as samples for this study.</p>
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<p>Morphological characteristics of isolated <span class="html-italic">Bacillus</span> strains from <span class="html-italic">Vanilla planifolia</span> that were cultured and grown on modified MRS agar medium plates and hemolysis agar plates of the <span class="html-italic">Bacillus</span> sp. strains isolated from <span class="html-italic">Vanilla planifolia</span> cultured at 37 °C on blood agar media for 48 h. The strains presented include <span class="html-italic">Bacillus tropicus</span> KhEp-2 (<b>A</b>,<b>B</b>), <span class="html-italic">Bacillus velezensis</span> ZN-S10 (<b>C</b>,<b>D</b>), and <span class="html-italic">Bacillus vallismortis</span> NR_104873.1:11-1518 (<b>E</b>,<b>F</b>) colonies on MRS and blood agar medium, respectively.</p>
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<p>The neighbor-joining phylogenetic tree of the relationship among 11 <span class="html-italic">Bacillus</span> sp. strains isolated from vanilla beans (<span class="html-italic">V. planifolia</span>). The tree analyzed 11 nucleotide sequences evolutionarily using MEGA11 software (version 11.0.13). A pairwise deletion option on 1514 total positions was employed in the final dataset. Bar distance scale = 0.10.</p>
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<p>Gas chromatography of (<b>A</b>) non-bacteria-treated vanilla (control); (<b>B</b>) <span class="html-italic">Bacillus tropicus</span> KhEp-2-treated vanilla (<b>C</b>); <span class="html-italic">Bacillus velezensis</span> ZN-S10 treatment and (<b>D</b>) <span class="html-italic">Bacillus vallismortis</span> NR_104873.1:11-1518-coated vanilla beans, analyzed as methanol extract.</p>
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14 pages, 6146 KiB  
Article
Molecular Characterization of Odorant-Binding Protein Genes Associated with Host-Seeking Behavior in Oides leucomelaena
by Ning Zhao, Kai Li, Huifen Ma, Lianrong Hu, Yingxue Yang and Ling Liu
Int. J. Mol. Sci. 2024, 25(17), 9436; https://doi.org/10.3390/ijms25179436 - 30 Aug 2024
Viewed by 254
Abstract
The identification of odorant-binding proteins (OBPs) involved in host location by Oides leucomelaena (O. leucomelaena Weise, 1922, Coleoptera, Galerucinae) is significant for its biological control. Tools in the NCBI database were used to compare and analyze the transcriptome sequences of O. leucomelaena [...] Read more.
The identification of odorant-binding proteins (OBPs) involved in host location by Oides leucomelaena (O. leucomelaena Weise, 1922, Coleoptera, Galerucinae) is significant for its biological control. Tools in the NCBI database were used to compare and analyze the transcriptome sequences of O. leucomelaena with OBP and other chemosensory-related proteins of other Coleoptera insects. Subsequently, MEGA7 was utilized for OBP sequence alignment and the construction of a phylogenetic tree, combined with expression profiling to screen for candidate antennae-specific OBPs. In addition, fumigation experiments with star anise volatiles were conducted to assess the antennae specificity of the candidate OBPs. Finally, molecular docking was employed to speculate on the binding potential of antennae-specific OBPs with star anise volatiles. The study identified 42 candidate OBPs, 8 chemosensory proteins and 27 receptors. OleuOBP3, OleuOBP5, and OleuOBP6 were identified as classic OBP family members specific to the antennae, which was confirmed by volatile fumigation experiments. Molecular docking ultimately clarified that OleuOBP3, OleuOBP5, and OleuOBP6 all exhibit a high affinity for β-caryophyllene among the star anise volatiles. We successfully obtained three antennae-specific OBPs from O. leucomelaena and determined their high-affinity volatiles, providing a theoretical basis for the development of attractants in subsequent stages. Full article
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<p>Gene Ontology (<b>A</b>) and Kyoto Encyclopedia of Genes and Genomes (<b>B</b>) results.</p>
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<p>Expression profiles of chemosensory-related genes in <span class="html-italic">O. leucomelaena</span>. (<b>A</b>): OleuOBPs; (<b>B</b>): OleuCSPs; (<b>C</b>): OleuORs. OL: <span class="html-italic">O. leucomelaena</span>. FOLw: female wing; MOLw: male wing; FOLat: female antenna; MOLat: male antenna; FOLh: female head; MOLh: male head; FOLx: female thorax; MOLx: male thorax; FOLl: female leg; MOLl: male leg; FOLab: female abdomen; MOLab: male abdomen.</p>
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<p>Expression profiles of chemosensory-related genes in <span class="html-italic">O. leucomelaena</span>. (<b>A</b>): OleuOBPs; (<b>B</b>): OleuCSPs; (<b>C</b>): OleuORs. OL: <span class="html-italic">O. leucomelaena</span>. FOLw: female wing; MOLw: male wing; FOLat: female antenna; MOLat: male antenna; FOLh: female head; MOLh: male head; FOLx: female thorax; MOLx: male thorax; FOLl: female leg; MOLl: male leg; FOLab: female abdomen; MOLab: male abdomen.</p>
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<p>Alignment of the identified classic OleuOBPs. Conserved cysteine residues are selected and highlighted on a red background.</p>
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<p>Neighbor-joining tree of candidate OBPs. Bootstrap values after 1000 replications. Oleu, <span class="html-italic">Oides leucomelaena</span>; Paen, <span class="html-italic">Pyrrhalta aenescens</span>; Pmac, <span class="html-italic">Pyrrhalta maculicollis</span>; Aeug, <span class="html-italic">Anthonomus eugenii</span>; Dcar, <span class="html-italic">Diorhabda carinulata</span>; Cbow, <span class="html-italic">Colaphellus bowringi</span>; Tcas, <span class="html-italic">Tribolium castaneum</span>; Malt, <span class="html-italic">Monochamus alternatus</span>; Dvir, <span class="html-italic">Diabrotica virgifera virgifera</span>; Gdau, <span class="html-italic">Galeruca daurica</span>; Pmac, <span class="html-italic">Pyrrhalta maculicollis</span>; Sbif, <span class="html-italic">Semanotus bifasciatus</span>; Msal, <span class="html-italic">Monochamus saltuarius</span>; Xqua, <span class="html-italic">Xylotrechus quadripes</span>. Red represents the classic OBP family and green represents the Minus-C OBP family.</p>
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<p>Concentration screening test results. X-axis indicates the dose of added compounds and Y-axis indicates the average mortality rate of the three groups.</p>
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<p>Analysis of OleuOBP gene expression after compound treatment. The standard error is represented by the error bar, and the ** indicates a very significant difference, and *** indicates an extremely significant difference. (<b>A</b>): OleuOBP3; (<b>B</b>): OleuOBP5; (<b>C</b>): OleuOBP6.</p>
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<p>Docking pattern of protein and β-caryophyllene of OleuOBP. (<b>A</b>): OleuOBP3 and β-caryophyllene; (<b>B</b>): OleuOBP5 and β-caryophyllene; (<b>C</b>): OleuOBP6 and β-caryophyllene.</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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19 pages, 2699 KiB  
Article
Sex Differences in Antennal Transcriptome of Hyphantria cunea and Analysis of Odorant Receptor Expression Profiles
by Weichao Ma, Yaning Li, Lina Yang and Shanchun Yan
Int. J. Mol. Sci. 2024, 25(16), 9070; https://doi.org/10.3390/ijms25169070 - 21 Aug 2024
Viewed by 600
Abstract
Insects rely on olfaction for mating, finding oviposition sites, and locating hosts. Hyphantria cunea is a serious pest that severely damages forests. Differential expression analysis of olfactory-related genes between males and females is the basis for elucidating the functions of olfactory-related proteins in [...] Read more.
Insects rely on olfaction for mating, finding oviposition sites, and locating hosts. Hyphantria cunea is a serious pest that severely damages forests. Differential expression analysis of olfactory-related genes between males and females is the basis for elucidating the functions of olfactory-related proteins in H. cunea. In this study, Illumina HiSeqTM 4000 high-throughput sequencing technology was used to perform transcriptome sequencing of the antennal tissues of adult male and female H. cunea. Functional annotation was conducted using the NR, Swiss-Prot, KOG, KEGG, and GO databases, and the results showed that the antennal transcriptome of adult H. cunea contained 50,158 unigenes. Differential expression analysis identified 3923 genes that were significantly differentially expressed between male and female antennae. A total of 221 olfactory-related genes were annotated, and 96 sex-biased genes were identified, including 13 odorant receptors (ORs), 48 odorant binding proteins (OBPs), 7 chemosensory proteins (CSPs), 10 ionotropic receptors (IRs), 10 sensory neuron membrane proteins (SNMPs), 2 gustatory receptors (GRs), and 6 odorant-degrading enzymes (ODEs), indicating that there were differences in olfaction between male and female H. cunea. Quantitative real-time PCR was used to verify the expression levels of 21 putative general odorant receptor genes in male and female antennae. HcunOR4 and HcunOR5 showed female-biased expression; HcunOR48, HcunOR49 and HcunOR50 showed male-biased expression. The results were consistent with the transcriptome differential analysis. The screening of male-biased odorant receptor genes might provide a theoretical basis for the functional characterization of odorant receptors for recognizing sex pheromones in H. cunea. Full article
(This article belongs to the Section Molecular Informatics)
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<p>Sample relationship analysis. (<b>A</b>) Principal component analysis between female and male antennae samples; (<b>B</b>) correlation analysis of individual biological replicates in males and females; (<b>C</b>) hierarchical clustering between biological replicates of male and female antennae tissues.</p>
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<p>(<b>A</b>) Differential gene statistical map. (<b>B</b>) The volcano map of genes for sex difference of <span class="html-italic">H. cunea</span> (female vs. male); the dark blue dots are OR genes with significant DGE. The dashed lines mean FDR &lt; 0.05 or |log2FC| &gt; 1. (<b>C</b>) DGE heat map for gene expression clustering.</p>
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<p>GO enrichment bubble plot of the antennal transcriptome of <span class="html-italic">H. cunea</span> (females vs. males).</p>
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<p>KO enrichment bubble plot of antennal transcriptome of <span class="html-italic">H. cunea</span> (female vs. male).</p>
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<p>PPI network of DGE olfactory receptor genes.</p>
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<p>Expression profiles of general odorant receptors in the antennae of male and female <span class="html-italic">H. cunea</span> by qRT-PCR. **: <span class="html-italic">p</span> &lt; 0.01, *: <span class="html-italic">p</span> &lt; 0.05, n.s.: no significant difference.</p>
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13 pages, 2284 KiB  
Article
The Effects of Prolonged Indoor Inhalation of Nature-Derived Odors on Menopausal Women
by Choyun Kim, Gayoung Lee and Chorong Song
Healthcare 2024, 12(16), 1667; https://doi.org/10.3390/healthcare12161667 - 21 Aug 2024
Viewed by 442
Abstract
This study aimed to investigate the effects of prolonged inhalation of nature-derived odors indoors on humans. Twenty-six women participated in this study. Heart rate variability, heart rate, blood pressure, pulse rate, estradiol, testosterone, and cortisol were used as indicators of autonomic nervous system [...] Read more.
This study aimed to investigate the effects of prolonged inhalation of nature-derived odors indoors on humans. Twenty-six women participated in this study. Heart rate variability, heart rate, blood pressure, pulse rate, estradiol, testosterone, and cortisol were used as indicators of autonomic nervous system and endocrine system activities. Profile of mood state, state–trait anxiety inventory, menopause rating scale and general sleep disturbance scale were used as psychological indicators. The order was as follows: After the participants relaxed in a chair for 5 min, their heart rate variability and heart rate were measured for 3 min with their eyes closed. Subsequently, blood pressure and pulse rate were measured, salivary samples were collected for estradiol, testosterone, and cortisol analyses, and a subjective assessment was conducted. The participants received a diffuser containing fir essential oil and were instructed on its usage and precautions. Subsequently, they returned home and inhaled the fir oil for a week. After 7 days, participants revisited the laboratory for posttest measurements, conducted at the same time as the pretest. Prolonged inhalation of the fir essential oil resulted in increased estradiol concentration, decreased systolic and diastolic blood pressure, relief of menopausal symptoms, reduced anxiety levels, improved sleep quality and mood states. Prolonged inhalation of the fir essential oil induced physiological and psychological relaxation on menopausal women. Full article
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<p>Experimental protocol.</p>
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<p>Changes in blood pressure in menopausal women after inhaling fir essential oil for a week. <span class="html-italic">n</span> = 26, mean ± standard error, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, by paired <span class="html-italic">t</span>-test (one-sided).</p>
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<p>Changes in estradiol levels in menopausal women after inhaling fir essential oil for a week. <span class="html-italic">n</span> = 26, mean ± standard error, ** <span class="html-italic">p</span> &lt; 0.01 by paired <span class="html-italic">t</span>-test (one-sided).</p>
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<p>Changes in the scores of the Profile of Mood State (POMS) in menopausal women after inhaling fir essential oil for a week. T–A: tension–anxiety; D: depression; A–H: anger–hostility; F: fatigue; C: confusion; V: vigor; TMD: total mood disturbance. <span class="html-italic">n</span> = 26, mean ± standard error, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 by Wilcoxon signed-rank test (one-sided).</p>
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<p>Changes in the scores of the State–Trait Anxiety Inventory (STAI) in menopausal women after inhaling fir essential oil for a week. <span class="html-italic">n</span> = 26, mean ± standard error, ** <span class="html-italic">p</span> &lt; 0.01 by Wilcoxon signed-rank test (one-sided).</p>
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<p>Changes in the scores of the Menopause Rating Scale (MRS) in menopausal women after inhaling fir essential oil for a week. <span class="html-italic">n</span> = 26, mean ± standard error, ** <span class="html-italic">p</span> &lt; 0.01 by Wilcoxon signed-rank test (one-sided).</p>
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<p>Changes in the scores of the General Sleep Disturbance Scale (GSDS) in menopausal women after inhaling fir essential oil for a week. <span class="html-italic">n</span> = 26, mean ± standard error, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 by Wilcoxon signed-rank test (one-sided).</p>
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13 pages, 3272 KiB  
Article
Strawberry Volatile Organic Compounds for Targeted Metabolomics: The AMDIS Strawberry User Library from Korean Germplasm
by Eunsu Do, Eungu Jee, Chan Saem Gil, Seolah Kim, Sun Yi Lee and Kang-Mo Ku
Horticulturae 2024, 10(8), 882; https://doi.org/10.3390/horticulturae10080882 - 20 Aug 2024
Viewed by 300
Abstract
Strawberry aroma, crucial for determining quality, involves complex volatile compounds which are challenging to identify. This study explores strawberry aroma analysis using Gas Chromatography-Mass Spectrometry (GC-MS) and the Automated Mass Spectral Deconvolution and Identification System (AMDIS). Central to our research is the creation [...] Read more.
Strawberry aroma, crucial for determining quality, involves complex volatile compounds which are challenging to identify. This study explores strawberry aroma analysis using Gas Chromatography-Mass Spectrometry (GC-MS) and the Automated Mass Spectral Deconvolution and Identification System (AMDIS). Central to our research is the creation of a bespoke strawberry Volatile Organic Compounds (VOCs) user library using AMDIS, specifically for analyzing strawberry aromas. The library contains VOCs from 61 strawberry cultivars, integrating information on 104 VOCs, including mass spectra, retention index, chemical class, CAS number, formula, odor threshold, and odor description. This custom library significantly outperformed a commercial library by reducing potential false hits by 200, decreasing the size of report files by over 96%, and, most importantly, shortening AMDIS analysis processing time from 31 s to 9 s, representing an approximate 71% reduction. Further, the study demonstrates the library’s practical application by contrasting the aroma profiles of strawberries harvested in winter and spring. This comparison revealed significant VOC variations depending on seasonal temperature changes, offering insights into environmental influences on strawberry aroma. In conclusion, this research marks a significant advance in strawberry aroma quality analysis. The strawberry VOC library developed in this study is expected to greatly aid targeted metabolomics and flavor research in strawberry breeding. Full article
(This article belongs to the Section Postharvest Biology, Quality, Safety, and Technology)
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<p>A representative image of peak deconvolution. The figure shows the deconvolution of a total ion chromatogram (TIC) where two different peaks are coeluted.</p>
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<p>Private library vs. NIST library: detection, file size, and speed. Comparison of library performance between the private library and NIST library. The average number of identified targets, report file size, and processing time were measured in equal running conditions. Each value is exhibited by a mean value and standard deviation (<span class="html-italic">n</span> = 6). Triple asterisks (***) indicate a highly significant difference based on Student’s <span class="html-italic">t</span>-test (<span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Demonstration of the necessity of AMDIS. The figure displays a screenshot of AMDIS and GCMS Solution software during the analysis of actual strawberry VOC data. (<b>A</b>): Limonene remains obscured by 2-ethylhexanol if deconvolution is not performed. The white line represents the total ion chromatogram, while the colored solid lines represent various individual ion chromatograms. (<b>B</b>): The similarity search results for a single peak showing three compounds with identical similarity values, causing confusion in the identification. The red boxes display the target peak along with the mass library similarity scores for that peak.</p>
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<p>Volcano plot of seasonal strawberries (<b>A</b>) and box plot of significant compounds (<b>B</b>). In <a href="#horticulturae-10-00882-f004" class="html-fig">Figure 4</a>A, blue dots represent compounds significantly reduced in concentration in spring strawberries, while an orange dot indicates compound significantly higher in spring strawberries compared to winter strawberries (<span class="html-italic">p</span>-value &lt; 0.05 and fold change &gt; 2.0). (<b>B</b>) depicts box plots where the <span class="html-italic">y</span>-axis represents the internal standard normalized concentration (ng/µL). The red boxes correspond to the data from spring strawberries, and the green boxes represent winter strawberry data. Black dots show the concentrations of the compound from all samples. A yellow diamond indicates the mean concentration. The notch represents the 95% confidence interval around the median.</p>
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<p>Volcano plot of seasonal strawberries (<b>A</b>) and box plot of significant compounds (<b>B</b>). In <a href="#horticulturae-10-00882-f004" class="html-fig">Figure 4</a>A, blue dots represent compounds significantly reduced in concentration in spring strawberries, while an orange dot indicates compound significantly higher in spring strawberries compared to winter strawberries (<span class="html-italic">p</span>-value &lt; 0.05 and fold change &gt; 2.0). (<b>B</b>) depicts box plots where the <span class="html-italic">y</span>-axis represents the internal standard normalized concentration (ng/µL). The red boxes correspond to the data from spring strawberries, and the green boxes represent winter strawberry data. Black dots show the concentrations of the compound from all samples. A yellow diamond indicates the mean concentration. The notch represents the 95% confidence interval around the median.</p>
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<p>Detection of vanillin using AMDIS. The white line represents the total ion chromatogram (TIC), while the blue, red, and yellow lines correspond to m/z values of 51, 152, and 151, respectively. Vanillin was detected with a net match score of 85.</p>
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<p>Practical application of the library. (<b>A</b>) shows the annotation using our MSP library in aligned data within the MSDial 5.3 software. (<b>B</b>) displays the results window after conducting analysis with AMDIS 2.73.</p>
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35 pages, 10743 KiB  
Article
Influences of Depulping, Pod Storage and Fermentation Time on Fermentation Dynamics and Quality of Ghanaian Cocoa
by Stefanie Streule, Amandine André, Susette Freimüller Leischtfeld, Karin Chatelain, Elodie Gillich, Irene Chetschik and Susanne Miescher Schwenninger
Foods 2024, 13(16), 2590; https://doi.org/10.3390/foods13162590 - 19 Aug 2024
Viewed by 689
Abstract
This study investigated the impact of the depulping of cocoa beans after pod opening, as well as the influences of pod storage (PS) and fermentation time on the fermentation dynamics and the overall quality of beans and liquors made thereof. Twelve variations were [...] Read more.
This study investigated the impact of the depulping of cocoa beans after pod opening, as well as the influences of pod storage (PS) and fermentation time on the fermentation dynamics and the overall quality of beans and liquors made thereof. Twelve variations were conducted in three experimental runs (with/without depulping; 1-/3-day PS; and fermentation times of 3, 4, 5, 6 or 7 days). Fermentation dynamics (e.g., temperature and pH) and the quality of dried beans (e.g., cut-test and fermentation index) and liquors (sensory assessment, quantification of cocoa key-odorants and tastants) were investigated. It was demonstrated that 17–20% of cocoa pulp, relative to the total bean-pulp-mass weight, could be mechanically removed without negatively affecting the bean quality. No significant differences were found in the percentages of well-fermented beans after 5–6 days fermentation with 1-day PS, resulting in 49 ± 9% with, and 48 ± 12% without depulping. There were no significant differences in key tastants present in the liquors; however, significantly less volatile acids and esters were found when liquors were produced from 5–6 day-fermented depulped beans, with 1-day PS, without negatively affecting the sensory profiles. This strategy allows producers to maximize the cacao fruit’s value by integrating part of the pulp into the cocoa value chain. Full article
(This article belongs to the Section Food Quality and Safety)
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<p>(<b>a</b>) Heaps during pod storage; (<b>b</b>) heap on d0 of fermentation, with holes for aeration and drainage beneath plantain leaves; (<b>c</b>) heaps covered with plantain leaves; (<b>d</b>) heaps covered with plastic sheets; (<b>e</b>) manual turning of the beans; (<b>f</b>) beans drying on bamboo mats; (<b>g</b>) beans covered with plastic during rainfall and during the night; (<b>h</b>) points 1 and 2 indicate sampling positions (1: in center of the heap, 2: at the side, within the middle of the heap) during experimental runs A and B; (<b>i</b>) points 1–5 indicate sampling positions (1, 2, 4 and 5: in the center, within the middle; 3: from the surface) during experimental run C.</p>
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<p>(<b>a</b>) Heaps during pod storage; (<b>b</b>) heap on d0 of fermentation, with holes for aeration and drainage beneath plantain leaves; (<b>c</b>) heaps covered with plantain leaves; (<b>d</b>) heaps covered with plastic sheets; (<b>e</b>) manual turning of the beans; (<b>f</b>) beans drying on bamboo mats; (<b>g</b>) beans covered with plastic during rainfall and during the night; (<b>h</b>) points 1 and 2 indicate sampling positions (1: in center of the heap, 2: at the side, within the middle of the heap) during experimental runs A and B; (<b>i</b>) points 1–5 indicate sampling positions (1, 2, 4 and 5: in the center, within the middle; 3: from the surface) during experimental run C.</p>
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<p>Positions of temperature probes in experimental runs A, B (<b>a</b>), and C (<b>b</b>), as indicated by blue arrows.</p>
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<p>Exemplary images of embryo viability, interpreted as being active (<b>a</b>) and inactivated (<b>b</b>), (<b>c</b>) embryos.</p>
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<p>Pulp content (%) at start of fermentation, for variations with 1- or 3-day pod storage (PS1 and PS3, respectively) and without and with depulping (D0 and D1, respectively) for the three experimental runs, A (gold, <span class="html-italic">n</span> = 10 for D0 and <span class="html-italic">n</span> = 18 for D1), B (red, <span class="html-italic">n</span> = 8) and C (blue, <span class="html-italic">n</span> = 9). Variations differ significantly if they do not share a common letter.</p>
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<p>Sucrose (<b>a</b>,<b>d</b>,<b>g</b>), fructose (<b>b</b>,<b>e</b>,<b>h</b>), and glucose (<b>c</b>,<b>f</b>,<b>i</b>) (mg/g) at fermentation start (d0, white), fermentation end (fEnd, turquoise) and in dried beans (dried, red), in samples with 1 (PS1) or 3 (PS3) days pod storage, without (D0) or with (D1) depulping, and fermented for 3, 4, 5, 6 or 7 days (d) from experimental runs A ((<b>a</b>–<b>c</b>); <span class="html-italic">n</span> = 4), B ((<b>d</b>–<b>f</b>); <span class="html-italic">n</span> = 4) and C ((<b>g</b>–<b>i</b>); <span class="html-italic">n</span> = 6).</p>
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<p>Sucrose (<b>a</b>,<b>d</b>,<b>g</b>), fructose (<b>b</b>,<b>e</b>,<b>h</b>), and glucose (<b>c</b>,<b>f</b>,<b>i</b>) (mg/g) at fermentation start (d0, white), fermentation end (fEnd, turquoise) and in dried beans (dried, red), in samples with 1 (PS1) or 3 (PS3) days pod storage, without (D0) or with (D1) depulping, and fermented for 3, 4, 5, 6 or 7 days (d) from experimental runs A ((<b>a</b>–<b>c</b>); <span class="html-italic">n</span> = 4), B ((<b>d</b>–<b>f</b>); <span class="html-italic">n</span> = 4) and C ((<b>g</b>–<b>i</b>); <span class="html-italic">n</span> = 6).</p>
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<p>Citric acid (<b>a</b>,<b>d</b>,<b>g</b>), lactic acid (<b>b</b>,<b>e</b>,<b>h</b>), and acetic acid (<b>c</b>,<b>f</b>,<b>i</b>) (mg/g) at fermentation start (d0, white), fermentation end (fEnd, turquoise) and in dried beans (dried, red), in samples with 1 (PS1) or 3 (PS3) days pod storage, without (D0) or with (D1) depulping, and fermented for 3, 4, 5, 6 or 7 days (d), from experimental runs A ((<b>a</b>–<b>c</b>); <span class="html-italic">n</span> = 4), B ((<b>d</b>–<b>f</b>); <span class="html-italic">n</span> = 4) and C ((<b>g</b>–<b>i</b>); <span class="html-italic">n</span> = 6).</p>
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<p>(<b>a</b>,<b>c</b>,<b>e</b>) Viability of cocoa embryo after fermentation in samples with 1 (PS1) or 3 (PS3) days pod storage, without (D0) or with (D1) depulping, and fermented for 3, 4, 5, 6 or 7 days (d), from experimental runs A ((<b>a</b>), <span class="html-italic">n</span> = 4), B ((<b>c</b>), <span class="html-italic">n</span> = 4) and C ((<b>e</b>), <span class="html-italic">n</span> = 6). The embryos were classified as inactivated (yellow) or active (grey). (<b>b</b>,<b>d</b>,<b>f</b>) Cut-test at the end of drying in the same samples from experimental runs A ((<b>b</b>), <span class="html-italic">n</span> = 12), B ((<b>d</b>), <span class="html-italic">n</span> = 12) and C ((<b>f</b>), <span class="html-italic">n</span> = 18). The beans were classified as well-fermented (brown), slightly fermented (red), violet (violet), or slaty (grey). Bars of the same color representing the same classification differ significantly if they do not share a common letter.</p>
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<p>(<b>a</b>,<b>c</b>,<b>e</b>) Viability of cocoa embryo after fermentation in samples with 1 (PS1) or 3 (PS3) days pod storage, without (D0) or with (D1) depulping, and fermented for 3, 4, 5, 6 or 7 days (d), from experimental runs A ((<b>a</b>), <span class="html-italic">n</span> = 4), B ((<b>c</b>), <span class="html-italic">n</span> = 4) and C ((<b>e</b>), <span class="html-italic">n</span> = 6). The embryos were classified as inactivated (yellow) or active (grey). (<b>b</b>,<b>d</b>,<b>f</b>) Cut-test at the end of drying in the same samples from experimental runs A ((<b>b</b>), <span class="html-italic">n</span> = 12), B ((<b>d</b>), <span class="html-italic">n</span> = 12) and C ((<b>f</b>), <span class="html-italic">n</span> = 18). The beans were classified as well-fermented (brown), slightly fermented (red), violet (violet), or slaty (grey). Bars of the same color representing the same classification differ significantly if they do not share a common letter.</p>
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<p>Fermentation index for dried beans from samples with 1 (PS1) or 3 (PS3) days pod storage, without (D0) or with (D1) depulping, and fermented for 3, 4, 5, 6 or 7 days (d), from experimental run A in yellow ((<b>a</b>), <span class="html-italic">n</span> = 12), B in red ((<b>b</b>), <span class="html-italic">n</span> = 12), and C in blue ((<b>c</b>), <span class="html-italic">n</span> = 18). Variations differ significantly if they do not share a common letter.</p>
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<p>Consensus profiles of the test samples (cocoa liquors) with 1 (PS1) or 3 (PS3) days pod storage, without (D0) or with (D1) depulping, and after fermentation for 5 or 6 days (d), from experimental run A in yellow and experimental run B in red.</p>
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<p>PLS (partial least squares) of predictors in black: pH value at d2 (pH_d2), pH value of dried beans (pH_dried), maximum temperature at d2 (Tmax_d2), citric acid of dried beans (CA_dried), lactic acid of dried beans (LA_dried), and acetic acid of dried beans (AA_dried). Response variables in blue: inactivated embryo (inactivated) and well fermented, slightly fermented, violet, and slaty beans; fermentation index (FI) of samples with 1 (PS1) or 3 (PS3) days pod storage; without (D0) or with (D1) depulping; and fermented for 3, 4, 5, 6 or 7 days (d) (direction of fermentation degree manually inserted in orange) from experimental runs A, B (carried out in 2022) and C (carried out in 2023).</p>
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<p>Principal component analysis and results from cluster analysis of the test samples (cocoa liquors) with 1 (PS1) or 3 (PS3) days pod storage, without (D0) or with (D1) depulping, and after fermentation for 5 or 6 days (d), from experimental runs A and B.</p>
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<p>Heat map of the key aroma and tastant compound concentrations found in the cocoa liquors from the experimental runs A and B, with 1 (PS1) or 3 (PS3) days pod storage, without (D0) or with (D1) depulping, and fermented for 5 or 6 days (d). Color scale from blue to red through white (blue: lowest concentration; red: highest concentration).</p>
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13 pages, 532 KiB  
Article
Olive Oil (Royal Cultivar) from Mill Obtained by Short Time Malaxation and Early Ripening Stage
by Raúl Peralta, Francisco Espínola, Alfonso M. Vidal and Manuel Moya
Foods 2024, 13(16), 2588; https://doi.org/10.3390/foods13162588 - 18 Aug 2024
Viewed by 576
Abstract
The olive oil from the Royal cultivar has not been studied in depth, especially its relationship between analytical and sensory parameters. Currently, it is a minority cultivar, but due to its excellent organoleptic properties, it is constantly growing. The research objective is to [...] Read more.
The olive oil from the Royal cultivar has not been studied in depth, especially its relationship between analytical and sensory parameters. Currently, it is a minority cultivar, but due to its excellent organoleptic properties, it is constantly growing. The research objective is to obtain excellent-quality olive oil from the Royal cultivar at an industrial extraction plant and characterize the oil sensory and analytically. For this purpose, three important factors were set: very early olives; very low-time olive paste malaxation; and environmental temperature. The analytical parameters studied were volatile and phenolic compounds, fatty acids, photosynthetic pigments, and other quality parameters. Fourteen phenolic compounds were identified and found in significantly higher concentrations in Royal olive oil, including the oleacein compound. Moreover, volatile compounds from the LOX pathway, such as hexenal, (E)-2-hexenal, and (Z)-3-hexen-1-ol, had significantly higher concentrations, which were related to organoleptic characteristics: very fruity, not very spicy, and very low bitterness. The highest values obtained were 74.98% extraction efficiency at 30 min; 71.31 mg/kg chlorophyll content at 30 min; 156.38 mg/kg phenolic compound at 30 min; 18.98 mg/kg volatile compounds at 15 min; and better organoleptic characteristics at 15 min. The oil extraction efficiency was lower than that of other olive cultivars; nevertheless, the content of volatile compounds is higher. Full article
(This article belongs to the Section Food Quality and Safety)
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<p>Content of chlorophylls and carotenoids (mg/kg) of oils obtained at the decanter outlet and the vertical centrifuge outlet with different malaxing times of 15 min and 30 min.</p>
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<p>Contribution of each attribute to the sensory profile of oils obtained with different malaxing times of 15 min and 30 min. Comparison of contribution measured by the addition of the odor activity value (OAV) of the volatile compounds that belongs to each attribute group and the sensory attributes perceived from the panel test.</p>
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17 pages, 960 KiB  
Article
Comparison of Volatile Organic Compounds, Quality, and Nutritional Parameters from Local Italian and International Apple Cultivars
by Aurora Cirillo, Natasha D. Spadafora, Lily James-Knight, Richard A. Ludlow, Carsten T. Müller, Lucia De Luca, Raffaele Romano, Hilary J. Rogers and Claudio Di Vaio
Horticulturae 2024, 10(8), 863; https://doi.org/10.3390/horticulturae10080863 - 15 Aug 2024
Viewed by 832
Abstract
Apple cultivars ‘Annurca’ and ‘Limoncella’ are grown locally in the Campania region of Italy and are valued for their distinctive flavour and characteristics, including a high content of nutritionally important bioactive compounds. However, apples are typically stored chilled for several months before consumption, [...] Read more.
Apple cultivars ‘Annurca’ and ‘Limoncella’ are grown locally in the Campania region of Italy and are valued for their distinctive flavour and characteristics, including a high content of nutritionally important bioactive compounds. However, apples are typically stored chilled for several months before consumption, so it is important to assess if the valuable characteristics are still present after postharvest storage. Here, we compare the quality, nutritional parameters, and aroma of these two cultivars with two widely grown international cultivars, ‘Golden Delicious’ and ‘Fuji’, after 60 days of storage. The aroma profiles of all four apples were analysed using thermal desorption and gas chromatography–time-of-flight mass spectrometry. We show that the local cultivars are distinct from the international cultivars in their bioactive compound content and their antioxidant activity. ‘Limoncella’ shows high sugar content, which may be acting as a cryoprotectant during storage, and high total phenolics in the flesh, which is of nutritional interest. We identified 104 volatile organic compounds (VOCs) and showed that the overall aroma profile is distinct for each cultivar, containing 11 published odorant compounds. The ‘Annurca’ profile is uniquely low in esters. Seven VOCs retain good discrimination across the four cultivars and, together with the quality and nutritional data, separate the two local cultivars from the international cultivars by hierarchical clustering. Overall, the data emphasize the unique characteristics of the two local cultivars and their value. Full article
(This article belongs to the Section Fruit Production Systems)
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<p>Hierarchical clustering of total relative abundance for each VOC family in the four apple cultivars; mean of three replicates, lettering indicates significant differences based on an ANOVA or Kruskall–Wallis test, <span class="html-italic">p</span> &lt; 0.05 amongst the cultivars for each VOC family.</p>
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<p>Random Forest analysis of VOCs of the four apple cultivars: ‘Annurca’, ‘Fuji’, ‘Golden Delicious’, and ‘Limoncella’, (<b>A</b>–<b>C</b>) using whole VOC profile: (<b>A</b>) multidimensional scaling plot, (<b>B</b>) classification error, and (<b>C</b>) most discriminatory compounds. (<b>D</b>,<b>E</b>) Random Forest re-run using the top 7 discriminatory compounds (above the red line in <b>C</b>), (<b>D</b>) multidimensional scaling plot, and (<b>E</b>) classification error.</p>
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<p>Heat map clustering relative abundance of total polyphenols, individual polyphenols (catechins, epicatechins, procyanidin B1, procyanidin B2, and chlorogenic acid), and antioxidant activities assessed through ABTS, DPPH, and FRAP assays (both flesh and peel) with the top 7 discriminatory VOCs across the 4 apple cultivars examined: ‘Limoncella’, ‘Annurca’, ‘Golden Delicious’, and ‘Fuji’ (values are normalized to the maximum value for each attribute across the four cultivars).</p>
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14 pages, 949 KiB  
Article
Potentially Bioactive Compounds and Sensory Compounds in By-Products of Several Cultivars of Blackberry (Rubus fruticosus L.)
by Indrė Čechovičienė, Jonas Viškelis, Pranas Viškelis, Ewelina Hallman, Marcin Kruk and Živilė Tarasevičienė
Horticulturae 2024, 10(8), 862; https://doi.org/10.3390/horticulturae10080862 - 15 Aug 2024
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Abstract
This study aimed to determine the amounts of phenols, antioxidant activity, and sensory compounds in three commercial cultivars of blackberries popular in Lithuania: ‘Polar’, ‘Brzezina’, and ‘Orkan’. Blackberry pomace was analyzed by the spectrophotometric method for total phenolic content, total flavonoid content and [...] Read more.
This study aimed to determine the amounts of phenols, antioxidant activity, and sensory compounds in three commercial cultivars of blackberries popular in Lithuania: ‘Polar’, ‘Brzezina’, and ‘Orkan’. Blackberry pomace was analyzed by the spectrophotometric method for total phenolic content, total flavonoid content and radical-scavenging capacity using the DPPH and ABTS•+ assays. The phenolic profiles, organic acids, and sugars were analyzed by HPLC. The Heracles II electronic nose, which is based on ultrafast gas chromatography, was used for the quantification of volatile organic compounds. The results show that the total phenolic content of blackberry pomace varied from 2380.60 to 2088.00 mg 100 g−1 and that the total flavonoid content varied from 161.29 to 148.10 mg 100 g−1, depending on the cultivar. A total of 14 polyphenols were also identified, with epigallocatechin and anthocyanin cyanidin-3-O-glucoside being quantified in the highest concentrations (7.28 to 9.72 and 6.19 to 9.79 mg g−1, respectively) and being the predominant phenolic compounds in the blackberry-pomace samples. The odor profiles of blackberry pomace from different cultivars varied. The main volatile organic compounds found in all blackberry pomace were 1-Nonanol and cis-3-Hexen-1-ol, are associated with herbaceous and citrusy aromas. All these results show the potential of using blackberry pomace to enrich food products with bioactive phytochemicals. Full article
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<p>Groups of decomposed phenolic compounds in pomace from different blackberry cultivars, mg g<sup>−1</sup> DW. Different letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Principal component analysis (PCA) for organic volatile compounds in blackberry pomace. Circled in red, ‘Polar’ cultivar samples (4,5,6); circled in green, ‘Orkan’ cultivar samples (7,8,9); circled in blue, ‘Brzezina’ cultivar samples (1,2,3).</p>
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15 pages, 2334 KiB  
Article
A Comparative Study on the Muscle and Gut Microbiota of Opsariichthys bidens from Rice Field and Pond Culture Breeding Modes
by Fan Zhou, Weichao Bu, Hongjie Fan, Shuirong Guo, Ming Qi, Gaohua Yao, Yijiang Bei, Yuanfei Huang, Shicheng Zhu, Xueyan Ding and Xingwei Xiang
Metabolites 2024, 14(8), 443; https://doi.org/10.3390/metabo14080443 - 9 Aug 2024
Viewed by 830
Abstract
To investigate difference in the quality of the different parts (back, tail muscles, and fish skin) of Opsariichthys bidens from pond and rice field cultures, a comparative study was conducted in terms of nutritional composition, volatile flavor profiles and gut microbiota. In detail, [...] Read more.
To investigate difference in the quality of the different parts (back, tail muscles, and fish skin) of Opsariichthys bidens from pond and rice field cultures, a comparative study was conducted in terms of nutritional composition, volatile flavor profiles and gut microbiota. In detail, the texture, free amino acids, fatty acids were further assessed. The results suggested that the moisture content, crude protein and crude fat content in the skin of O. bidens are higher than those in the back and tail muscles, regardless of breeding modes. The fish cultured in the rice field had a higher protein content than those from the pond culture, while the fat content of the rice field-cultured fish was significantly low compared to the fish from the pond culture, especially in the back and tail parts. A total of 43 volatile components were detected by Gas Chromatography–Mass Spectrometry (GC-MS), with a maximum of 18 types of aldehydes and the highest concentration being nonanal. Compared to pond cultures, the fish from the rice field cultures showed more abundant flavor composition and odor-active compounds. The total content of DHA (Docosahexaenoic Acid) and EPA (Eicosapentaenoic Acid) in the rice field-cultured fish was higher than that of the pond group, while no significant disparity in amino acid composition was observed (p > 0.05). Comparative and clustering analyses of gut microbiota revealed notable discrepancies in the gut microbiota of O. bidens from two aquaculture systems. However, an inherent correlation between the gut microbiome and meat quality would be further emphasized in further studies. This study can offer a theoretical reference for the development of high-quality aquatic products by selecting the appropriate aquaculture models. Full article
(This article belongs to the Special Issue Metabolism and Nutrition in Fish)
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<p>(<b>A</b>) Chord chart of the proportion of volatile components in <span class="html-italic">Opsariichthys bidens</span> under different cultivation modes; (<b>B</b>) quantity of volatile flavor compounds in <span class="html-italic">Opsariichthys bidens</span> under different cultivation modes. PB: back muscle of pond-cultured fish; PT: tail of pond-cultured fish; PS: skin of pond-cultured fish; RFB: back muscle of rice-bred fish; RFT: tail of rice-bred fish; RFS: skin of rice-bred fish.</p>
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<p>(<b>A</b>) Venn diagram of intestinal microflora of <span class="html-italic">Opsariichthys bidens</span> in two farming modes; (<b>B</b>) Community barbolt analysis of intestinal microflora in two farming modes of <span class="html-italic">Opsariichthys bidens.</span> RF: rice field aquaculture; PD: pond aquaculture.</p>
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<p>(<b>A</b>) Principal component analysis of intestinal microflora in two farming methods; PC1 (Principal Coordinate 1) and PC2 (Principal Coordinate 2) are used to describe the two main dimensions of differences and similarities between samples. (<b>B</b>) According to the hierarchical clustering tree of the two breeding modes, the samples are clustered according to the similarity, and the branch length between the samples is negatively correlated with the similarity. RF: rice field aquaculture; PD: pond aquaculture.</p>
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<p>Two-level diagram of bacterial distribution in 12 samples. The heatmap represents the relative abundance of each bacterial genus (variables clustered on the vertical axis) in each sample (horizontal clustering). The values of bacterial genera are expressed as color intensity, as shown in the legend on the right side of the figure. RF: rice field aquaculture; PD: pond aquaculture.</p>
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