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Search Results (328)

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Keywords = guaiacol

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15 pages, 1718 KiB  
Article
Challenges of Salinity Intrusion and Drought Stress on Olive Tree Cultivation on Mljet Island
by Josip Tadić, Gvozden Dumičić, Maja Veršić Bratinčević, Sandra Vitko and Sandra Radić Brkanac
Plants 2024, 13(18), 2549; https://doi.org/10.3390/plants13182549 - 11 Sep 2024
Viewed by 283
Abstract
Understanding genotype-specific responses to environmental stressors is vital for developing resilience strategies that ensure sustainable olive cultivation and productivity. In this work, cultivar ‘Oblica’ and several olive genotypes from the island of Mljet (Croatia) were exposed to short-term (21 days) salinity and drought [...] Read more.
Understanding genotype-specific responses to environmental stressors is vital for developing resilience strategies that ensure sustainable olive cultivation and productivity. In this work, cultivar ‘Oblica’ and several olive genotypes from the island of Mljet (Croatia) were exposed to short-term (21 days) salinity and drought treatments. In contrast to other olive genotypes, genotype M29 as well as cultivar ‘Oblica’ managed to maintain growth and chlorophyll a levels under salinity stress to the same level as the control. Drought, however, significantly reduced the growth parameters in all olive trees. Cultivar ‘Oblica’ accumulated the greatest amount of Na+ ions in the leaves compared to olive genotypes from the island of Mljet, demonstrating superior resistance by translocating Na+ to leaf vacuoles. The observed reduction in K+ content in the roots of olive trees under all treatments suggests a generalized stress response. On the other hand, effective Ca2+ uptake has been identified as a crucial energy-saving strategy that olive trees use to cope with brief periods of salinity and drought. The proline content and activities of superoxide dismutase (SOD) and guaiacol peroxidase (GPOX) varied among the olive trees, highlighting the importance of antioxidative capacities and stress adaptation mechanisms. According to the obtained results, stress-resistant olive genotypes like ‘Oblica’ and M29 show potential for breeding resilient varieties. Full article
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<p>Relative shoot length (<b>A</b>), leaf surface area (<b>B</b>), shoot dry mass (<b>C</b>), chlorophyll <span class="html-italic">a</span> (<b>D</b>), chlorophyll <span class="html-italic">b</span> (<b>E</b>), and carotenoids (<b>F</b>) of olive genotypes under short-term salinity and drought. Controls of olive genotypes are set to the value 1 (dashed line). Presented data are means of three replicates ± SD. Bars and dashed line (bold) labeled with different letters are significantly different at <span class="html-italic">p</span> ≤ 0.05. Raw data (absolute values) are presented in <a href="#app1-plants-13-02549" class="html-app">Supplementary Tables S1 and S2</a>.</p>
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<p>Relative content of leaf and root Na<sup>+</sup> (<b>A</b>,<b>C</b>), and Cl<sup>−</sup> (<b>B</b>,<b>D</b>) for olive genotypes under short-term salinity and drought. Controls of olive genotypes are set to the value 1 (dashed line). Presented data are means of three replicates ± SD. Bars and dashed line (bold) labeled with different letters are significantly different at <span class="html-italic">p</span> ≤ 0.05. Raw data (absolute values) are presented in <a href="#app1-plants-13-02549" class="html-app">Supplementary Table S3</a>.</p>
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<p>Relative activity of SOD (<b>A</b>), and GPOX (<b>B</b>), relative MDA (<b>C</b>), and proline (<b>D</b>) content in olive leaves under short-term salinity and drought. Controls of olive genotypes are set to the value 1 (dashed line). Presented data are means of three replicates ± SD. Bars and dashed line (bold) labeled with different letters are significantly different at <span class="html-italic">p</span> ≤ 0.05. Raw data (absolute values) are presented in <a href="#app1-plants-13-02549" class="html-app">Supplementary Table S6</a>.</p>
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<p>Principal component analysis (PCA) biplot of olive response to drought (<b>A</b>) and salinity (<b>B</b>). Biplots show the relationships between different olive genotypes (M27, M28, M29, Oblica, Pačica) and the measured morphological (shoot length and dry mass, leaf surface area), physiological (chlorophyll <span class="html-italic">a</span>, chlorophyll <span class="html-italic">b</span> and total carotenoids content) and biochemical (SOD and GPOX activity, proline and MDA content, K<sup>+</sup> leakage, Na<sup>+</sup>, Cl<sup>−</sup>, K<sup>+</sup>, Mg<sup>2+</sup> and Ca<sup>2+</sup> ion content in leaves and roots) variables under each stress condition. Controls of olive genotypes are normalized to the value 1.</p>
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15 pages, 4941 KiB  
Article
Effect of Acid Properties of Fluorinated Beta and ZSM-5 Zeolites Used as Supports of Ni Catalysts for the Catalytic Hydrodeoxygenation of Guaiacol
by Gabriela Quintero-Arroyo, Angie C. Rueda, Judith Granados-Reyes, Jayson Fals and Yolanda Cesteros
Catalysts 2024, 14(9), 586; https://doi.org/10.3390/catal14090586 - 2 Sep 2024
Viewed by 574
Abstract
Commercial NH4-Beta and Na-ZSM-5 zeolites were fluorinated with different amounts of NH4F and using different procedures (room temperature, conventional refluxing, microwave refluxing). Samples were characterized by XRD, N2 physisorption, FTIR, 1H NMR, SEM-EDS, and TGA of adsorbed [...] Read more.
Commercial NH4-Beta and Na-ZSM-5 zeolites were fluorinated with different amounts of NH4F and using different procedures (room temperature, conventional refluxing, microwave refluxing). Samples were characterized by XRD, N2 physisorption, FTIR, 1H NMR, SEM-EDS, and TGA of adsorbed cyclohexylamine. An increase in the concentration of NH4F led to fluorinated zeolites with higher surface areas and slightly lower amounts of Brønsted acid sites due to some dealumination. Fluorination by conventional or microwave refluxing at shorter times did not dealuminate ZSM-5, resulting in the formation of higher particle sizes. Ni/fluorinated beta catalysts were more active than Ni/fluorinated ZSM-5 catalysts for the hydrodeoxygenation of guaiacol at 180 °C and 15 bar of H2 for 1 h due to their higher amount of acid sites. The appropriate proportion of metallic and Brønsted acid centers allowed for the selective obtention of cyclohexane (58%) for the Ni supported on beta fluorinated with NH4F 0.1 M catalyst. The combination of this fluorinated beta to a Ni/ordered mesoporous carbon catalyst significantly boosted its selectivity to cyclohexane from 0 to 65%. Fluorinated ZSM-5 samples, although having stronger Brønsted acid sites, as observed by 1H NMR, they had lower amounts, leading to higher selectivity to cyclohexanol when used as catalytic supports. Full article
(This article belongs to the Special Issue Catalytic Materials: State-of-the-Art and Perspectives in Spain)
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<p>XRD of representative fluorinated ZSM-5 and beta samples.</p>
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<p>N<sub>2</sub> adsorption-desorption isotherms of representative fluorinated ZSM-5 and beta samples.</p>
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<p>(<b>Left</b>) SEM-EDS of sample BF, and (<b>right</b>) infrared spectra of the fluorinated beta samples in the region 3800–3500 cm<sup>−1</sup>.</p>
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<p>Scanning electron micrographs of several fluorinated ZSM-5 samples.</p>
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<p><sup>1</sup>H NMR of several fluorinated ZSM-5 and beta samples.</p>
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<p>XRD patterns of several Ni/fluorinated ZSM-5 catalysts.</p>
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<p>XRD patterns of several Ni/fluorinated beta catalysts.</p>
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<p>Catalytic activity of the Ni/fluorinated ZSM-5 catalysts. Reaction conditions: 200 mg of guaiacol; 100 mg of catalyst; H<sub>2</sub>, 15 bar; reaction time, 1 h; reaction temperature, 180 °C; solvent, dodecane.</p>
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<p>Catalytic activity of the Ni/ZF catalysts with different Ni contents. Reaction conditions: 200 mg of guaiacol; 100 mg of catalyst; H<sub>2</sub>, 15 bar; reaction time, 1 h; reaction temperature, 180 °C; solvent, dodecane.</p>
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<p>Catalytic activity of the Ni/fluorinated Beta catalysts. Reaction conditions: 200 mg of guaiacol; 100 mg of catalyst; H<sub>2</sub>, 15 bar; reaction time, 1 h; reaction temperature, 180 °C; solvent, dodecane.</p>
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<p>Catalytic activity of the Ni/OMC catalysts combined with BF. Reaction conditions: 200 mg of guaiacol; 100 mg of catalyst, for mixtures: 100 mg of Ni/OMC + 100 mg BF; H<sub>2</sub>, 15 bar reaction time, 1 h; reaction temperature, 180 °C; solvent, dodecane.</p>
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<p>Catalytic hydrodeoxygenation of guaiacol at low reaction temperatures.</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 367
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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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 529
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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15 pages, 1113 KiB  
Article
Fermentation Performances and Aroma Contributions of Selected Non-Saccharomyces Yeasts for Cherry Wine Production
by Federico Bianchi, Michele Avesani, Marilinda Lorenzini, Giacomo Zapparoli and Barbara Simonato
Foods 2024, 13(15), 2455; https://doi.org/10.3390/foods13152455 - 3 Aug 2024
Viewed by 681
Abstract
This study evaluates the fermentation performances of non-Saccharomyces strains in fermenting cherry must from Italian cherries unsuitable for selling and not intended to be consumed fresh, and their effects on the chemical composition of the resulting wine. Fermentation trials in 100 and [...] Read more.
This study evaluates the fermentation performances of non-Saccharomyces strains in fermenting cherry must from Italian cherries unsuitable for selling and not intended to be consumed fresh, and their effects on the chemical composition of the resulting wine. Fermentation trials in 100 and 500 mL of must were carried out to select 21 strains belonging to 11 non-Saccharomyces species. Cherry wines obtained by six select strains were chemically analyzed for fixed and volatile compounds. Quantitative data were statistically analyzed by agglomerative hierarchical clustering, partial least squared discriminant analysis, and principal component analysis. Wines revealed significant differences in their composition. Lactic acid and phenylethyl acetate levels were very high in wines produced by Lachancea and Hanseniaspora, respectively. Compared to S. cerevisiae wine, non-Saccharomyces wines had a lower content of fatty acid ethyl esters 4-vinyl guaiacol and 4-vinyl phenol. The multivariate analysis discriminated between wines, demonstrating the different contributions of each strain to aroma components. Specifically, all wines from non-Saccharomyces strains were kept strictly separate from the control wine. This study provided comprehensive characterization traits for non-conventional strains that enhance the aroma complexity of cherry-based wine. The use of these yeasts in cherry wine production appears promising. Further investigation is required to ascertain their suitability for larger-scale fermentation. Full article
(This article belongs to the Section Drinks and Liquid Nutrition)
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<p>Kinetic of CO<sub>2</sub> production (% <span class="html-italic">w</span>/<span class="html-italic">v</span>) during the fermentation of pasteurized cherry must A by 10 selected yeasts and <span class="html-italic">S. cerevisiae</span> EC1118<sup>®</sup>. (<b>A</b>) Kinetics of CO<sub>2</sub> production of strains <span class="html-italic">S. cerevisiae</span> EC1118, <span class="html-italic">H. vineae</span> Hv1, <span class="html-italic">H. vineae</span> Hv20, <span class="html-italic">H. osmophila</span> Ho22, and <span class="html-italic">H. osmophila</span> Ho3; (<b>B</b>) Kinetics of CO<sub>2</sub> production of strains <span class="html-italic">St. bacillaris</span> Stb7, and <span class="html-italic">S. bacillaris</span> Stb91; (<b>C</b>) Kinetics of CO<sub>2</sub> production of strains <span class="html-italic">L. fermentati</span> Lf2, and <span class="html-italic">T. delbrueckii</span> Td7; (<b>D</b>) Kinetics of CO<sub>2</sub> production of strains <span class="html-italic">Z. bailii</span> Zb19, and <span class="html-italic">Z. bailii</span> Zb23.</p>
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<p>Heat map with dendrograms made with AHC corresponding to aroma compounds of cherry-based wines produced by <span class="html-italic">S. cerevisiae</span> EC1118<sup>®</sup> (control), <span class="html-italic">T. delbrueckii</span> Td7 (TD), <span class="html-italic">H. vineae</span> Hv20 (HV), <span class="html-italic">H. osmophila</span> Ho3 (HO), <span class="html-italic">L. fermentati</span> Lf2 (LF), <span class="html-italic">St. bacillaris</span> Stb91 (STB), and <span class="html-italic">Z. bailii</span> Zb19 (ZB). The relative content of each molecule is illustrated through a color scale from white (minimum) to dark red (maximum).</p>
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<p>VIP score (&gt;1) and relative content (color scale from white as minimum to red as maximum) of aroma compounds of cherry-based wines produced by <span class="html-italic">S. cerevisiae</span> EC1118<sup>®</sup> (control), <span class="html-italic">T. delbrueckii</span> Td7 (TD), <span class="html-italic">H. vineae</span> Hv20 (HV), <span class="html-italic">H. osmophila</span> Ho3 (HO), <span class="html-italic">L. fermentati</span> Lf2 (LF), <span class="html-italic">St. bacillaris</span> Stb91 (STB), and <span class="html-italic">Z. bailii</span> Zb19 (ZB) obtained by PLS-DA analysis.</p>
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16 pages, 1285 KiB  
Article
Differential Oxidative Stress Management in Industrial Hemp (IH: Cannabis sativa L.) for Fiber under Saline Regimes
by Naveen Dixit
Metabolites 2024, 14(8), 420; https://doi.org/10.3390/metabo14080420 - 31 Jul 2024
Viewed by 567
Abstract
In the current study, two commercial industrial hemp (IH) fiber varieties (V1: CFX-2 and V2: Henola) were assessed for their ability to regulate salt-induced oxidative stress metabolism. For 30 days, plants were cultivated in greenhouse environments with five different salinity treatments (0, 50, [...] Read more.
In the current study, two commercial industrial hemp (IH) fiber varieties (V1: CFX-2 and V2: Henola) were assessed for their ability to regulate salt-induced oxidative stress metabolism. For 30 days, plants were cultivated in greenhouse environments with five different salinity treatments (0, 50, 80, 100, 150, and 200 mM NaCl). Hydrogen peroxide (H2O2), malondialdehyde (MDA), and lipoxygenase (LOX) and antioxidant enzymes (superoxide dismutase (SOD), catalase, guaiacol peroxidase (GPOD), ascorbate peroxidase (APX), glutathione reductase (GR), and glutathione-S-transferase (GST)) were assessed in fully expanded leaves. At 200 and 100 mM NaCl concentrations, respectively, 30 days after saline treatment, plants in V1 and V2 did not survive. At 80 mM NaCl, the leaves of V2 showed higher concentrations of H2O2, MDA, and LOX than those of V1. Higher SOD, CAT, GPOD, APX, GR, and GST activity in the leaves of V1 up to 100 mM NaCl resulted in lower levels of H2O2 and MDA. At 80 mM NaCl, V2 demonstrated the total failure of the antioxidant defense mechanism. These results reveal that V1 demonstrated stronger salt tolerance than V2, in part due to better antioxidant metabolism. Full article
(This article belongs to the Special Issue Effects of Biotic/Abiotic Stress on Plant Metabolism)
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<p>The effects of NaCl on IH leaves at 0, 50, 80, and 100 mM in V1 and 0, 50, and 80 mM in V2. Seedlings in V1 and V2 did not survive at 200 mM and 100 mM NaCl, respectively, by the 30th day.</p>
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<p>The effects of NaCl on the IH leaf H<sub>2</sub>O<sub>2</sub> concentration (Panel (<b>A</b>)), lipid peroxidation (Panel (<b>B</b>)), and SOD-specific activity (Panel (<b>C</b>)). Vertical bars represent SE. Different lowercase letters indicates significant differences among the varieties, and different numerals represents significant treatment differences. These mean values (<span class="html-italic">n</span> = 15) are separated using LSD at <span class="html-italic">p</span> &lt; 0.05. Data at 100 mM NaCl are given for V1 only, as plants did not survive in V2 at this NaCl concentration. Interactions were non-significant.</p>
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<p>The effects of NaCl on IH leaf LOX-specific activity (Panel (<b>A</b>)), CAT-specific activity (Panel (<b>B</b>)), and GPOD-specific activity (Panel (<b>C</b>)). Vertical bars represent SE. Different lowercase letters indicates significant differences among the varieties, and different numerals represent significant treatment differences. These mean values (<span class="html-italic">n</span> = 15) are separated using LSD at <span class="html-italic">p</span> &lt; 0.05. Data at 100 mM NaCl are given for V1 only, as plants did not survive in V2 at this NaCl concentration. Interactions were non-significant.</p>
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<p>The effects of NaCl on IH leaf APX-specific activity (Panel (<b>A</b>)), GR-specific activity (Panel (<b>B</b>)), and GST-specific activity (Panel (<b>C</b>)). Vertical bars represent SE. Different lowercase letters indicate significant differences among the varieties, and different numerals represent significant treatment differences. These mean values (<span class="html-italic">n</span> = 15) are separated using LSD at <span class="html-italic">p</span> &lt; 0.05. Data at 100 mM NaCl are given for V1 only, as plants did not survive in V2 at this NaCl concentration. Interactions were non-significant.</p>
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21 pages, 7453 KiB  
Article
Exploration of Alicyclobacillus spp. Genome in Search of Antibiotic Resistance
by Joanna Bucka-Kolendo, Despoina Eugenia Kiousi, Agnieszka Dekowska, Anna Mikołajczuk-Szczyrba, Dimitrios Marinos Karadedos, Panagiotis Michael, Alex Galanis and Barbara Sokołowska
Int. J. Mol. Sci. 2024, 25(15), 8144; https://doi.org/10.3390/ijms25158144 - 26 Jul 2024
Viewed by 660
Abstract
The study investigates the antibiotic resistance (AR) profiles and genetic determinants in three strains of guaiacol-producing Alicyclobacillus spp. isolated from orchard soil and pears. Their phenotypic characteristics, such as spore formation; resistance to different factors, including drugs or disinfectants; or production of off-flavor [...] Read more.
The study investigates the antibiotic resistance (AR) profiles and genetic determinants in three strains of guaiacol-producing Alicyclobacillus spp. isolated from orchard soil and pears. Their phenotypic characteristics, such as spore formation; resistance to different factors, including drugs or disinfectants; or production of off-flavor compounds, can affect the taste and aroma of spoiled products. Food and beverages are potential vectors for the transfer of antibiotic resistance genes, which is a growing health concern; thus, microorganisms in food and beverages should not be a potential source of drug resistance to consumers. Whole-genome sequencing (WGS) was utilized to identify antibiotic resistance genes, metabolic pathways, and elements associated with guaiacol and halophenol production. Minimum inhibitory concentration (MIC) testing revealed that all strains were susceptible to eight out of nine tested antibiotics (ampicillin, gentamycin, kanamycin, streptomycin, clindamycin, tetracycline, chloramphenicol, and vancomycin) but exhibited high resistance to erythromycin. Analysis indicated that the erythromycin resistance gene, ribosomal RNA small subunit methyltransferase A (RsmA), was intrinsic and likely acquired through horizontal gene transfer (HGT). The comprehensive genomic analysis provides insights into the molecular mechanisms of antibiotic resistance in Alicyclobacillus spp., highlighting the potential risk of these bacteria as vectors for antibiotic resistance genes in the food chain. This study expands the understanding of the genetic makeup of these spoilage bacteria and their role in antimicrobial resistance dissemination. Full article
(This article belongs to the Section Molecular Microbiology)
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<p>Genomic maps of the chromosome and plasmids of (<b>A</b>) KKP 3001, (<b>B</b>) KKP 3001, and (<b>C</b>) KKP 3002 constructed with Proksee.</p>
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<p>An unrooted tree of homologous RsmA proteins identified and constructed using RAxML and visualized on the iTOL server.</p>
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<p>Classification of proteins encoded by KKP 3000, KKP 3001, and KKP 3002 into (<b>A</b>) KEGG functional categories and (<b>B</b>) KEGG pathways.</p>
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<p><span class="html-italic">Alicyclobacillus</span> strains KKP 3000, KKP 3001, and KKP 3002 code for proteins involved in (<b>A</b>) flagellar assembly and (<b>B</b>) chemotaxis. The maps were produced using KEGG Mapper. The proteins encoded by the strains are indicated in green.</p>
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<p>Arrangement of <span class="html-italic">vdc</span> operons in novel strains, compared to <span class="html-italic">A. fastidiosus</span> DSM17978, <span class="html-italic">A. acidoterrestris</span> DSM3922, and <span class="html-italic">A.dauci</span> DSM28700.</p>
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<p>Comparison of Vdc proteins. Phylograms were prepared using UniProt software <a href="https://www.uniprot.org/" target="_blank">https://www.uniprot.org/</a> (accessed on 24 April 2024).</p>
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<p>(<b>A</b>) ANI of KKP 3000, KKP 3001, and KKP 3002 with members of the <span class="html-italic">A. fastidiosus</span> species (i.e., DSM 17978 and NBRC103109). (<b>B</b>) The phylogenomic tree containing the three novel strains and members of the <span class="html-italic">Alicyclobacillus</span> genus. <span class="html-italic">Phenylobacterium aquaticum</span> KACC 18306 was used as an outgroup. The tree was calculated on the TYGS server and visualized using iTOL.</p>
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<p>BRIG diagram showing homologous chromosome segments of the three novel strains (KKP 3000, KKP 3001, KKP 3002) to the <span class="html-italic">A. fastidiosus</span> type strain DSM 17978.</p>
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19 pages, 1691 KiB  
Article
Extraction and Depolymerization of Lignin from Different Agricultural and Forestry Wastes to Obtain Building Blocks in a Circular Economy Framework
by María Ángeles Fontecha-Cámara, Irene Delgado-Blanca, María Mañas-Villar, Francisco José Orriach-Fernández and Belén Soriano-Cuadrado
Polymers 2024, 16(14), 1981; https://doi.org/10.3390/polym16141981 - 11 Jul 2024
Cited by 1 | Viewed by 1269
Abstract
Large amounts of agri-food waste are generated and discarded annually, but they have the potential to become highly profitable sources of value-added compounds. Many of these are lignin-rich residues. Lignin, one of the most abundant biopolymers in nature, offers numerous possibilities as a [...] Read more.
Large amounts of agri-food waste are generated and discarded annually, but they have the potential to become highly profitable sources of value-added compounds. Many of these are lignin-rich residues. Lignin, one of the most abundant biopolymers in nature, offers numerous possibilities as a raw material or renewable resource for the production of chemical products. This study aims to explore the potential revalorization of agricultural by-products through the extraction of lignin and subsequent depolymerization. Different residues were studied; river cane, rice husks, broccoli stems, wheat straw, and olive stone are investigated (all local wastes that are typically incinerated). Traditional soda extraction, enhanced by ultrasound, is applied, comparing two different sonication methods. The extraction yields from different residues were as follows: river cane (28.21%), rice husks (24.27%), broccoli (6.48%), wheat straw (17.66%), and olive stones (24.29%). Once lignin is extracted, depolymerization is performed by three different methods: high-pressure reactor, ultrasound-assisted solvent depolymerization, and microwave solvolysis. As a result, a new microwave depolymerization method has been developed and patented, using for the first time graphene nanoplatelets (GNPs) as new promising carbonaceous catalyst, achieving a 90.89% depolymerization rate of river cane lignin and yielding several building blocks, including guaiacol, vanillin, ferulic acid, or acetovanillone. Full article
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<p>Scheme of lignin depolymerization in a pressure reactor and further processing to obtain aromatic monomers and other derivatives.</p>
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<p>Scheme for microwave depolymerization of lignin.</p>
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<p>Lignin extraction by ultrasonic probe, V<sub>NaOH</sub> 250 mL, lignin mass 10 g. (<b>a</b>) Different temperatures, [NaOH] 2 M. (<b>b</b>) Different [NaOH], T 80 °C.</p>
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<p>Lignin extraction yields from various wastes.</p>
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<p>IR spectra of (<b>a</b>) unpurified lignin, (<b>b</b>) THF purified lignin, (<b>c</b>) H<sub>2</sub>O pre−washed lignin, (<b>d</b>) H<sub>2</sub>SO<sub>4</sub> pre−washed lignin. All prepared from river cane extracts with the probe method.</p>
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<p>Mass spectra obtained from GC/MS chromatography for the residues of black liquor extracted from olive stones (toluene extract: black line; ethyl acetate: pink line).</p>
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<p>GC/MS chromatogram for lignin depolymerization of olive stones with high−pressure reactor, ethyl acetate extract.</p>
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11 pages, 607 KiB  
Article
Evaluating the Susceptibility of Different Crops to Smoke Taint
by Julie Culbert, Renata Ristic and Kerry Wilkinson
Horticulturae 2024, 10(7), 713; https://doi.org/10.3390/horticulturae10070713 - 5 Jul 2024
Viewed by 907
Abstract
The potential for grapes and wine to be tainted following vineyard exposure to wildfire smoke is well established, with recent studies suggesting hops and apples (and thus beer and cider) can be similarly affected. However, the susceptibility of other crops to ‘smoke taint’ [...] Read more.
The potential for grapes and wine to be tainted following vineyard exposure to wildfire smoke is well established, with recent studies suggesting hops and apples (and thus beer and cider) can be similarly affected. However, the susceptibility of other crops to ‘smoke taint’ has not yet been investigated. Smoke was applied to a selection of fruits and vegetables, as well as potted lavender plants, and their volatile phenol composition determined by gas chromatography–mass spectrometry to evaluate their susceptibility to contamination by smoke. Volatile phenols were observed in control (unsmoked) capsicum, cherry, lavender, lemon, spinach and tomato samples, typically at ≤18 µg/kg, but 52 µg/kg of guaiacol and 83–416 µg/kg of o- and m-cresol and 4-methylsyringol were detected in tomato and lavender samples, respectively. However, significant increases in volatile phenol concentrations were observed as a consequence of smoke exposure; with the highest volatile phenol levels occurring in smoke-exposed strawberry and lavender samples. Variation in the uptake of volatile phenols by different crops was attributed to differences in their physical properties, i.e., their surface area, texture and/or cuticle composition, while the peel of banana, lemon, and to a lesser extent apple samples, mitigated the permeation of smoke-derived volatile phenols into pulp. Results provide valuable insight into the susceptibility of different crops to smoke contamination. Full article
(This article belongs to the Section Biotic and Abiotic Stress)
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<p>Principal component analysis biplot of volatile phenol concentrations measured in different crops, following exposure to smoke.</p>
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14 pages, 4552 KiB  
Article
Molecular Docking Studies of Ortho-Substituted Phenols to Tyrosinase Helps Discern If a Molecule Can Be an Enzyme Substrate
by María F. Montenegro, José A. Teruel, Pablo García-Molina, José Tudela, José Neptuno Rodríguez-López, Francisco García-Cánovas and Francisco García-Molina
Int. J. Mol. Sci. 2024, 25(13), 6891; https://doi.org/10.3390/ijms25136891 - 23 Jun 2024
Viewed by 842
Abstract
Phenolic compounds with a position ortho to the free phenolic hydroxyl group occupied can be tyrosinase substrates. However, ortho-substituted compounds are usually described as inhibitors. The mechanism of action of tyrosinase on monophenols is complex, and if they are ortho-substituted, it is more [...] Read more.
Phenolic compounds with a position ortho to the free phenolic hydroxyl group occupied can be tyrosinase substrates. However, ortho-substituted compounds are usually described as inhibitors. The mechanism of action of tyrosinase on monophenols is complex, and if they are ortho-substituted, it is more complicated. It can be shown that many of these molecules can become substrates of the enzyme in the presence of catalytic o-diphenol, MBTH, or in the presence of hydrogen peroxide. Docking studies can help discern whether a molecule can behave as a substrate or inhibitor of the enzyme. Specifically, phenols such as thymol, carvacrol, guaiacol, eugenol, isoeugenol, and ferulic acid are substrates of tyrosinase, and docking simulations to the active center of the enzyme predict this since the distance of the peroxide oxygen from the oxy-tyrosinase form to the ortho position of the phenolic hydroxyl is adequate for the electrophilic attack reaction that gives rise to hydroxylation occurring. Full article
(This article belongs to the Special Issue Mechanism of Enzyme Catalysis: When Structure Meets Function)
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<p>Structures of the compounds used in the present study. (<b>1</b>) thymol (2-isopropyl-5-methylphenol); (<b>2</b>) carvacrol (2-isopropyl-5-methylphenol); (<b>3</b>) guaiacol (2-metoxyphenol); (<b>4</b>) eugenol (4-allyl-2-metoxyphenol); (<b>5</b>) isoeugenol (2-metoxy-4-propenylphenol); and (<b>6</b>) ferulic acid (3-metoxy-4-hydroxycinnamic acid).</p>
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<p>Action of tyrosinase on these monophenols. (<b>A</b>) Spectrophotometric recordings of the action of tyrosinase (0.1 mg/mL) on guaiacol following a 540 nm. Curve (a). Guaiacol 1.5 mM in the presence of MBTH 1 mM and N,N′ dimethylformamide 2% in 50 mM phosphate buffer (pH 7.0). Curve (b). Increase in absorbance followed at 437 nm due to the action of tyrosinase (0.1 mg/mL) on carvacrol 1.5 mM and 0.083 mM of (3I6MC) in 30 mM phosphate buffer (pH 7.0). Curve (c). Increase in absorbance followed at 437 nm due to the action of tyrosinase (0.1 mg/mL) on thymol 1.5 mM and 0.083 mM (3I6MC) in 30 mM phosphate buffer (pH 7.0). Curve (d). Increase in absorbance at 437 nm due to the action of tyrosinase (0.1 mg/mL) on these monophenols: guaiacol 1.5 mM, carvacrol 1.5 mM, and thymol 1.5 mM in the absence of MBTH (guaiacol) or 3I6MC (carvacrol and thymol). (<b>B</b>) Spectrophotometric recording on the action of tyrosinase on eugenol or isoeugenol in the presence of MBTH. Curve (a). Eugenol 1 mM in the presence of MBTH 1 mM N,N′ dimethylformamide 2% in 50 mM phosphate buffer (pH 7.0) at 540 nm. Curve (b). Isoeugenol 1 mM in the presence of MBTH 1 mM N,N′ dimethylformamide 2% in 50 mM phosphate buffer (pH 7.0) at 540 nm. Curve (c). Increase in absorbance followed at 540 nm in the action of tyrosinase (0.1 mg/mL) on eugenol 1 mM or isoeugenol 1 mM in the absence of MBTH. Inset. Curve (d). Increase in absorbance at 480 nm in the action of tyrosinase on ferulic acid 1.5 mM in the presence of 2-methoxycatechol 0.09 mM in 30 mM phosphate buffer (pH 7.0). Curve (e). Increase in absorption followed at 480 nm due to the action of tyrosinase (0.1 mg/mL) on ferulic acid 1.5 mM in the absence of 3-methoxycatechol.</p>
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<p>Docking of ferulic acid to <span class="html-italic">oxy</span>-tyrosinase (<b>A</b>) and to <span class="html-italic">met</span>-tyrosinase (<b>B</b>). The atom colors are as follows: carbon = green, oxygen = red, nitrogen = blue, copper = brown, and hydrogen = white. Ferulic acid is shown in thick sticks, and distances are shown in yellow dashed lines.</p>
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<p>Docking of thymol to <span class="html-italic">oxy</span>-tyrosinase (<b>A</b>) and to <span class="html-italic">met</span>-tyrosinase (<b>B</b>). The atom colors are as follows: carbon = green, oxygen = red, nitrogen = blue, copper = brown, and hydrogen = white. Thymol is shown in thick sticks, and distances are shown in yellow dashed lines.</p>
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<p>Docking of carvacrol to <span class="html-italic">oxy</span>-tyrosinase (<b>A</b>) and to <span class="html-italic">met</span>-tyrosinase (<b>B</b>). The atom colors are as follows: carbon = green, oxygen = red, nitrogen = blue, copper = brown, and hydrogen = white. Carvacrol is shown in thick sticks, and distances are shown in yellow dashed lines.</p>
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<p>Docking of guaiacol to <span class="html-italic">oxy</span>-tyrosinase (<b>A</b>) and to <span class="html-italic">met</span>-tyrosinase (<b>B</b>). The atom colors are as follows: carbon = green, oxygen = red, nitrogen = blue, copper = brown, and hydrogen = white. Guaiacol is shown in thick sticks, and distances are shown in yellow dashed lines.</p>
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<p>Docking of eugenol to <span class="html-italic">oxy</span>-tyrosinase (<b>A</b>) and to <span class="html-italic">met</span>-tyrosinase (<b>B</b>). The atom colors are as follows: carbon = green, oxygen = red, nitrogen = blue, copper = brown, and hydrogen = white. Eugenol is shown in thick sticks, and distances are shown in yellow dashed lines.</p>
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<p>Docking of isoeugenol to <span class="html-italic">oxy</span>-tyrosinase (<b>A</b>) and to <span class="html-italic">met</span>-tyrosinase (<b>B</b>). The atom colors are as follows: carbon = green, oxygen = red, nitrogen = blue, copper = brown, and hydrogen = white. Isoeugenol is shown in thick sticks, and distances are shown in yellow dashed lines.</p>
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<p>Action mechanism of tyrosinase on monophenol in the presence of hydrogen peroxide. Em, met-tyrosinase; Ed, deoxy-tyrosinase; Eox, oxy-tyrosinase; M, monophenol; D, <span class="html-italic">o</span>-diphenol; and Q, <span class="html-italic">o</span>-quinone.</p>
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<p>Enzymatic activity on ortho-substituted phenols in the presence of MBTH.</p>
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<p>Michaelis–Menten mechanism. Where S is the substrate, P is the product, and E is the enzyme. <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">K</mi> </mrow> <mrow> <mi mathvariant="normal">S</mi> </mrow> </msub> </mrow> </semantics></math> is the dissociation constant of the ES complex, and <math display="inline"><semantics> <mrow> <mo> </mo> <msub> <mrow> <mi mathvariant="normal">k</mi> </mrow> <mrow> <mi mathvariant="normal">P</mi> </mrow> </msub> </mrow> </semantics></math> is the catalytic constant.</p>
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<p>Michaelis–Menten mechanism in the presence of an alternative substrate, A. P′ is the product of A.</p>
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<p>Mechanism of action of tyrosinase on L-dopa in the presence of an alternative substrate (monophenol). Where S<sub>A</sub> is the alternative substrate, S<sub>A</sub>OH is the hydroxylated alternative substrate, S<sub>A</sub>Q is the <span class="html-italic">o</span>-quinone of the hydroxylated alternative substrate, E<sub>m</sub>S<sub>A</sub> is the complex of E<sub>m</sub> with S<sub>A</sub>, and E<sub>m</sub>S<sub>A</sub>OH is the complex of Em and hydroxylated S<sub>A</sub>.</p>
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17 pages, 1853 KiB  
Article
4-Vinyl Guaiacol: A Key Intermediate for Biobased Polymers
by Elena Rigo, Cédric Totée, Vincent Ladmiral, Sylvain Caillol and Patrick Lacroix-Desmazes
Molecules 2024, 29(11), 2507; https://doi.org/10.3390/molecules29112507 - 25 May 2024
Viewed by 1188
Abstract
In order to contribute to the shift from petro-based chemistry to biobased chemistry, necessary to minimize the environmental impacts of the chemical industry, 2-methoxy-4-vinylphenol (4-vinyl guaiacol, 4VG) was used to synthesize a platform of biobased monomers. Thus, nine biobased monomers were successfully prepared. [...] Read more.
In order to contribute to the shift from petro-based chemistry to biobased chemistry, necessary to minimize the environmental impacts of the chemical industry, 2-methoxy-4-vinylphenol (4-vinyl guaiacol, 4VG) was used to synthesize a platform of biobased monomers. Thus, nine biobased monomers were successfully prepared. The synthesis procedures were investigated through the green metrics calculations in order to quantify the sustainability of our approaches. Their radical homopolymerization in toluene solution initiated by 2,2′-azobis(2-methylpropionitrile) (AIBN) was studied and the effect of residual 4VG as a radical inhibitor on the kinetics of polymerization was also explored. The new homopolymers were characterized by proton nuclear magnetic resonance (1H-NMR) spectroscopy, size exclusion chromatography and thermal analyses (dynamical scanning calorimetry DSC, thermal gravimetric analysis TGA). By varying the length of the alkyl ester or ether group of the 4VG derivatives, homopolymers with Tg ranging from 117 °C down to 5 °C were obtained. These new biobased monomers could be implemented in radical copolymerization as substitutes to petro-based monomers to decrease the carbon footprint of the resulting copolymers for various applications. Full article
(This article belongs to the Special Issue Sustainable Chemistry in France 2.0)
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<p>Four reactive sites of 4-vinyl guaiacol (4VG).</p>
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<p>Range of 4VG derivatives synthesized by protection of phenol function.</p>
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<p>The two synthetic routes used in this work to protect the phenol function by esterification: (<b>a</b>) Esterification using the corresponding anhydride; (<b>b</b>) Esterification using the corresponding carboxylic acid.</p>
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<p>Synthetic strategy used to synthesize Met4VG.</p>
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<p>Synthetic strategy used to synthesize AcHE4VG: (<b>a</b>) Chain elongation; (<b>b</b>) Acetylation.</p>
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<p>Evolution of Ac4VG conversion versus time, in the presence of increasing amounts of 4VG (0, 1, 2.5, and 5 wt% based on monomers), during radical polymerization. <span class="html-italic">[Ac4VG]</span><sub>0</sub>/<span class="html-italic">[AIBN]</span><sub>0</sub> = 1/0.05 in toluene at 70 °C.</p>
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<p>Monomer conversion versus time for the homopolymerization of 4VG derivatives initiated by AIBN at 70 °C in toluene (22 wt% monomer content). The numerical data are reported in <a href="#app1-molecules-29-02507" class="html-app">Table S2</a>.</p>
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23 pages, 5828 KiB  
Article
Exogenous Glycinebetaine Regulates the Contrasting Responses in Leaf Physiochemical Attributes and Growth of Maize under Drought and Flooding Stresses
by Guo-Yun Wang, Shakeel Ahmad, Bing-Wei Wang, Li-Bo Shi, Yong Wang, Cheng-Qiao Shi and Xun-Bo Zhou
Biology 2024, 13(6), 360; https://doi.org/10.3390/biology13060360 - 21 May 2024
Viewed by 895
Abstract
Flooding and drought are the two most devastating natural hazards limiting maize production. Exogenous glycinebetaine (GB), an osmotic adjustment agent, has been extensively used but there is limited research on its role in mitigating the negative effects of different abiotic stresses. This study [...] Read more.
Flooding and drought are the two most devastating natural hazards limiting maize production. Exogenous glycinebetaine (GB), an osmotic adjustment agent, has been extensively used but there is limited research on its role in mitigating the negative effects of different abiotic stresses. This study aims to identify the different roles of GB in regulating the diverse defense regulation of maize against drought and flooding. Hybrids of Yindieyu 9 and Heyu 397 grown in pots in a ventilated greenhouse were subjected to flooding (2–3 cm standing layer) and drought (40–45% field capacity) at the three-leaf stage for 8 d. The effects of different concentrations of foliar GB (0, 0.5, 1.0, 5.0, and 10.0 mM) on the physiochemical attributes and growth of maize were tested. Greater drought than flooding tolerance in both varieties to combat oxidative stress was associated with higher antioxidant activities and proline content. While flooding decreased superoxide dismutase and guaiacol peroxidase (POD) activities and proline content compared to normal water, they all declined with stress duration, leading to a larger reactive oxygen species compared to drought. It was POD under drought stress and ascorbate peroxidase under flooding stress that played crucial roles in tolerating water stress. Foliar GB further enhanced antioxidant ability and contributed more effects to POD to eliminate more hydrogen peroxide than the superoxide anion, promoting growth, especially for leaves under water stress. Furthermore, exogenous GB made a greater increment in Heyu 397 than Yindieyu 9, as well as flooding compared to drought. Overall, a GB concentration of 5.0 mM, with a non-toxic effect on well-watered maize, was determined to be optimal for the effective mitigation of water-stress damage to the physiochemical characteristics and growth of maize. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Plant Stress Adaptation)
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<p>The change in soil water content (<b>A</b>) and the diagram of the time (<b>B</b>) for foliar glycinebetaine (GB) and sampling during the experiment. FC represents maximum field capacity; CK represents maize planted in normal field capacity; V2 and V3 are two-leaf stage and three-leaf stage for maize, respectively; B2d is 2 d before water stress (WS), and A1d, A3d, A4d, A5d, A7d, and A8d indicate 1, 3, 4, 5, 7, and 8 days after WS, respectively; SM is sampling and measuring for indicators.</p>
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<p>The effects of glycinebetaine on the accumulations of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) and superoxide anion (O<sub>2</sub><sup>−</sup>) after 4 d (A4d) and 8 d (A8d) of water stress. CK represents maize planted in normal field capacity; bars represent standard error (<span class="html-italic">n</span> = 3, biological replicates); different letters in a water treatment indicate the least significant differences as <span class="html-italic">p</span> value ≤ 0.05.</p>
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<p>The effect of glycinebetaine on superoxide dismutase (SOD) activity after 4 d (<b>A</b>,<b>B</b>) and 8 d (<b>C</b>,<b>D</b>) of water stress. Data with standard error bars (<span class="html-italic">n</span> = 3, biological replicates) are presented; CK represents maize planted in normal field capacity; the 0, 0.5, 1.0, 5.0, and 10.0 mM are the different concentrations of glycinebetaine; *, **, *** mean significant <span class="html-italic">p</span> value ≤ 0.05, ≤0.01, ≤0.001, respectively, if no symbol is presented between treatments, meaning <span class="html-italic">p</span> value &gt; 0.05.</p>
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<p>The effect of glycinebetaine on guaiacol peroxidase (POD) activity after 4 d (<b>A</b>,<b>B</b>) and 8 d (<b>C</b>,<b>D</b>) of water stress. Data with standard error bars (<span class="html-italic">n</span> = 3, biological replicates) are presented; CK represents maize planted in normal field capacity; the 0, 0.5, 1.0, 5.0, and 10.0 mM are the different concentrations of glycinebetaine; *, **, *** mean significant <span class="html-italic">p</span> value ≤ 0.05, ≤0.01, ≤0.001, respectively, if no symbol is presented between treatments, meaning <span class="html-italic">p</span> value &gt; 0.05.</p>
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<p>The effect of glycinebetaine on ascorbate peroxidase (APX) activity after 4 d (<b>A</b>,<b>B</b>) and 8 d (<b>C</b>,<b>D</b>) of water stress. Data with standard error bars (<span class="html-italic">n</span> = 3, biological replicates) are presented; CK is maize planted in normal field capacity; 0, 0.5, 1.0, 5.0, and 10.0 mM are the different concentrations of glycinebetaine; *, **, *** mean significant <span class="html-italic">p</span> value ≤ 0.05, ≤0.01, ≤0.001, respectively, if no symbol is presented between treatments, meaning <span class="html-italic">p</span> value &gt; 0.05. Data.</p>
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<p>The effect of glycinebetaine on maize morphology after 4 d (A4d) and 8 d (A8d) of water stress. CK represents maize planted in normal field capacity; the letters A and C are the variety Heyu 397, and B and D represent the variety Yindieyu 9; bars represent standard error (<span class="html-italic">n</span> = 3, biological replicates); different letters in a water treatment indicate the least significant differences as <span class="html-italic">p</span> value ≤ 0.05.</p>
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<p>The effect of glycinebetaine on stem and leaf biomass accumulation after 4 d (<b>A</b>,<b>B</b>) and 8 d (<b>C</b>,<b>D</b>) of water stress. CK represents maize planted in normal field capacity; the 0, 0.5, 1.0, 5.0, and 10.0 mM are the different concentrations of glycinebetaine; vertical bars represent standard error (<span class="html-italic">n</span> = 3, biological replicates); different letters in a water treatment indicate the least significant differences as <span class="html-italic">p</span> value ≤ 0.05.</p>
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<p>Correlation analyses of the inspected parameters of maize under CK (<b>a</b>), flooding (<b>b</b>), and drought (<b>c</b>) stresses in the influence of glycinebetaine. CK represents maize planted in normal field capacity; Correlation coefficient <span class="html-italic">r</span> with the least significant difference according to <span class="html-italic">p</span> value ≤ 0.05 (*, **, *** mean significant <span class="html-italic">p</span> value ≤ 0.05, ≤0.01, ≤0.001) is shown. H<sub>2</sub>O<sub>2</sub>, O<sub>2</sub><sup>−</sup>, SOD, POD, APX, LA, PH, SD, SDM, and LDM represent hydrogen peroxide, superoxide anion, superoxide dismutase, guaiacol peroxidase, ascorbate peroxidase, leaf area, plant height, stem diameter, stem dry matter, and leaf dry matter, respectively.</p>
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27 pages, 6252 KiB  
Article
Characterization of Pyrolytic Tars Derived from Different Biomasses
by Paula Saires, Cindy Ariza Barraza, Melisa Bertero, Richard Pujro, Marisa Falco and Ulises Sedran
Processes 2024, 12(4), 817; https://doi.org/10.3390/pr12040817 - 18 Apr 2024
Cited by 1 | Viewed by 1054
Abstract
The pyrolysis of three different biomasses, rice husk (RH), zoita wood sawdust (ZW) and pine wood sawdust (PW), was studied at 500 °C in a multipurpose unit at the bench scale to determine the yields of the different products and the compositions and [...] Read more.
The pyrolysis of three different biomasses, rice husk (RH), zoita wood sawdust (ZW) and pine wood sawdust (PW), was studied at 500 °C in a multipurpose unit at the bench scale to determine the yields of the different products and the compositions and properties of the liquid products, with particular emphasis given to the alquitranous fractions (tars). It was possible to link the characteristics of the tars with the compositions of the raw biomasses and verify their potential in various applications. The analytical techniques employed in the characterization of biomasses included lignin, celulose and hemicellulose analysis, ultimate and proximate analysis and thermogravimetry–mass spectrometry analysis (TG-MS). Elemental analysis, gas chromatography–mass spectrometry (GC-MS), nuclear magnetic resonance spectroscopy (1H NMR), Fourier transform infrared spectroscopy (FTIR) and size exclusion chromatography (SEC) were used to characterize the tars. The tar yields were 1.8, 7.4 and 4.0 %wt. in the cases of RH, ZW and PW, respectively. The tars showed higher carbon content, between 60.3 and 62.2 %wt., and lower oxygen content, between 28.8 and 31.6 %wt., than the corresponding raw biomasses. The main components of the tars had aromatic bases, with phenols representing more than 50%. Tar RH included more guaiacols, while Tars ZW and PW included more phenols and alkylated phenols. Full article
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<p>Pilot-scale pyrolyzer/gasifier. (1) Biomass hopper; (2) screw conveyor; (3) air inlet; (4) reactor; (5) solid collector; (6) cyclone; (7) tar collector; (8) condenser and gas exit; (9) ignition port; T1 to T6, thermocouples.</p>
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<p>TG and derived TG curves. (<b>a</b>) Rice husk; (<b>b</b>) zoita wood sawdust; (<b>c</b>) pine wood sawdust.</p>
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<p>TG and derived TG curves. (<b>a</b>) Rice husk; (<b>b</b>) zoita wood sawdust; (<b>c</b>) pine wood sawdust.</p>
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<p>Time evolution of specific <span class="html-italic">m</span>/<span class="html-italic">z</span> ratios as a function of temperature in the TG-MS experiments. (<b>a</b>) Rice husk; (<b>b</b>) zoita wood sawdust; (<b>c</b>) pine wood sawdust.</p>
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<p>Distribution of phenolic compounds in tars from rice husk, zoita wood sawdust and pine wood sawdust.</p>
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<p>Distribution of phenolic compounds in tars from rice husk, zoita wood sawdust and pine wood sawdust according to their source in lignin.</p>
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<p>FTIR spectra of tars from rice husk, zoita wood sawdust and pine wood sawdust.</p>
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<p>Deconvolution of the FT-IR spectra of tars from rice husk, zoita wood sawdust and pine wood sawdust in the 1750–1400 cm<sup>−1</sup> region.</p>
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<p><sup>1</sup>H NMR spectra of tars from rice husk, zoita wood sawdust and pine wood sawdust.</p>
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<p>Molecular weight distribution in tars. (<b>a</b>) Rice husk; (<b>b</b>) zoita wood sawdust; (<b>c</b>) pine wood sawdust.</p>
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13 pages, 592 KiB  
Article
The Use of Macrophytes for the Removal of Chlorpyrifos from the Aquatic Environment
by Elżbieta Sobiecka, Milena Mroczkowska, Tomasz P. Olejnik and Agnieszka Nowak
Water 2024, 16(7), 1071; https://doi.org/10.3390/w16071071 - 8 Apr 2024
Cited by 1 | Viewed by 1055
Abstract
Phytoremediation is one of the effective technologies for removing pollutants from the aquatic environment. Toxic compounds such as chlorpyrifos can affect the physiological processes of aquatic plants, causing secondary oxidative stress in plant tissues. Macrophytes, like other organisms inhabiting the contaminated ecosystem, have [...] Read more.
Phytoremediation is one of the effective technologies for removing pollutants from the aquatic environment. Toxic compounds such as chlorpyrifos can affect the physiological processes of aquatic plants, causing secondary oxidative stress in plant tissues. Macrophytes, like other organisms inhabiting the contaminated ecosystem, have developed a system of defense mechanisms, thanks to which plants can still exist in their natural ecosystem. Our research is a summary of the previously presented results of the effectiveness of purifying contaminated water with chlorpyrifos in the phytoremediation process and the second type of phytoremediation supported by microorganisms, which intensify the process of removing contaminants from the environment. This research concerned changes in nonenzymatic and enzymatic antioxidants in Canadian seaweed, needle spikerush and water mint caused by chlorpyrifos. The research determines changes in the total concentration of polyphenols, flavonoids and dyes (chlorophyll A, chlorophyll B, anthocyanins and carotenoids) as well as differences in the activity of guaiacol peroxidase and glutathione S-transferase. The analysis of the results showed an increase in the content of polyphenols and flavonoids. The reverse trend was observed in the case of the pigment content. The appearance of chlorpyrifos in the environment caused an increase in the activity of the examined enzymes. The process involving microorganisms that were obtained from places contaminated with pesticide proved to be more effective. This shows the cooperation of species living in an investigated ecosystem. Full article
(This article belongs to the Special Issue Impact of Environmental Factors on Aquatic Ecosystem)
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<p>Biodegradation of chlorpyrifos by soil bacteria originating from A—a corn field, B—celery cultivation, C—a strawberry field, D—an apple orchard.</p>
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<p>Chlorpyrifos removal from an aquatic environment in F1—phytoremediation; and F2—phytoremediation supported by microorganisms.</p>
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15 pages, 2222 KiB  
Article
Unravelling the Mechanisms of Heavy Metal Tolerance: Enhancement in Hydrophilic Antioxidants and Major Antioxidant Enzymes Is Not Crucial for Long-Term Adaptation to Copper in Chlamydomonas reinhardtii
by Julia Dziuba and Beatrycze Nowicka
Plants 2024, 13(7), 999; https://doi.org/10.3390/plants13070999 - 30 Mar 2024
Viewed by 939
Abstract
Understanding of the mechanisms of heavy metal tolerance in algae is important for obtaining strains that can be applied in wastewater treatment. Cu is a redox-active metal directly inducing oxidative stress in exposed cells. The Cu-tolerant Chlamydomonas reinhardtii strain Cu2, obtained via long-term [...] Read more.
Understanding of the mechanisms of heavy metal tolerance in algae is important for obtaining strains that can be applied in wastewater treatment. Cu is a redox-active metal directly inducing oxidative stress in exposed cells. The Cu-tolerant Chlamydomonas reinhardtii strain Cu2, obtained via long-term adaptation, displayed increased guaiacol peroxidase activity and contained more lipophilic antioxidants, i.e., α-tocopherol and plastoquinol, than did non-tolerant strain N1. In the present article, we measured oxidative stress markers; the content of ascorbate, soluble thiols, and proline; and the activity of superoxide dismutase (SOD), catalase (CAT), and ascorbate peroxidase (APX) in N1 and Cu2 strains grown in the absence or presence of excessive Cu. The Cu2 strain displayed less pronounced lipid peroxidation and increased APX activity compared to N1. The amount of antioxidants was similar in both strains, while SOD and CAT activity was lower in the Cu2 strain. Exposure to excessive Cu led to a similar increase in proline content in both strains and a decrease in ascorbate and thiols, which was more pronounced in the N1 strain. The Cu2 strain was less tolerant to another redox-active heavy metal, namely chromium. Apparently other mechanisms, probably connected to Cu transport, partitioning, and chelation, are more important for Cu tolerance in Cu2 strain. Full article
(This article belongs to the Special Issue Plant Stress Physiology and Molecular Biology—2nd Edition)
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<p>Superoxide formation (<b>a</b>) and thiobarbituric acid-reactive substances (TBARS) content (<b>b</b>) in N1 and Cu2 <span class="html-italic">C. reinhardtii</span> strains grown for 7 days in the medium containing either basal (0.25 μM) or increased (5.25 μM) concentration of CuSO<sub>4</sub>. Data are means ± SD (<span class="html-italic">n</span> = 9 for O<sub>2</sub><sup>−•</sup> measurements, <span class="html-italic">n</span> = 4 for TBARS determination). Different letters denote means that differ from each other with statistical significance <span class="html-italic">p</span> &lt; 0.05 (post hoc Tukey’s test).</p>
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<p>The content of ascorbate (<b>a</b>), total soluble thiols (<b>b</b>), and proline (<b>c</b>) and the activity of superoxide dismutase (<b>d</b>), catalase (<b>e</b>), and ascorbate peroxidase (<b>f</b>) in N1 and Cu2 <span class="html-italic">C. reinhardtii</span> strains grown for 7 days in the medium containing either basal (0.25 μM) or increased (5.25 μM) concentration of CuSO<sub>4</sub>. Data are means ± SD (<span class="html-italic">n</span> = 4 for low-molecular-weight antioxidants, <span class="html-italic">n</span> = 8 for antioxidant enzymes). Different letters denote means that differ from each other with statistical significance <span class="html-italic">p</span> &lt; 0.05 (post hoc Tukey’s test). APX, ascorbate peroxidase; Asc, ascorbate in its reduced form; CAT, catalase; Pro, proline; SOD, superoxide dismutase.</p>
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<p>Growth of N1 and Cu2 <span class="html-italic">C. reinhardtii</span> strains in the media containing different concentrations of K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>, measured as maximal chlorophyll fluorescence. Data are means ± SD (<span class="html-italic">n</span> = 6).</p>
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<p>Summary of the present experiment. Already known features of Cu2 strain have been described in [<a href="#B5-plants-13-00999" class="html-bibr">5</a>,<a href="#B7-plants-13-00999" class="html-bibr">7</a>]. APX, ascorbate peroxidase; Asc, ascorbate; CAT, catalase; Chl, chlorophyll; F<sub>v</sub>/F<sub>m</sub>, maximum quantum yield of photosystem II; NPQ, nonphotochemical quenching of chlorophyll fluorescence; PQH<sub>2</sub>, plastoquinol; Pro, proline; SOD, superoxide dismutase; α-Toc, α-tocopherol.</p>
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