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17 pages, 7835 KiB  
Article
Effects of Inoculation with Koji and Strain Exiguobacterium profundum FELA1 on the Taste, Flavor, and Bacterial Community of Rapidly Fermented Shrimp Paste
by Huanming Liu, Ailian Huang, Jiawen Yi, Meiyan Luo, Guili Jiang, Jingjing Guan, Shucheng Liu, Chujin Deng and Donghui Luo
Foods 2024, 13(16), 2523; https://doi.org/10.3390/foods13162523 - 13 Aug 2024
Viewed by 853
Abstract
This study was conducted to investigate the effect of inoculation with Exiguobacterium profundum FELA1 isolated from traditional shrimp paste and koji on the taste, flavor characteristics, and bacterial community of rapidly fermented shrimp paste. E-nose and e-tongue results showed higher levels of alcohols, [...] Read more.
This study was conducted to investigate the effect of inoculation with Exiguobacterium profundum FELA1 isolated from traditional shrimp paste and koji on the taste, flavor characteristics, and bacterial community of rapidly fermented shrimp paste. E-nose and e-tongue results showed higher levels of alcohols, aldehydes, and ketones, enhanced umami and richness, and reduced bitterness and astringency in samples of shrimp paste inoculated with fermentation (p < 0.05). Eighty-two volatile compounds were determined using headspace solid-phase microextraction and gas chromatography–mass spectrometry (HS-SPEM-GC-MS). The contents of 3-methyl-1-butanol, phenylethanol, isovaleraldehyde, and 2-nonanone in the inoculated samples were significantly increased (p < 0.05), resulting in pleasant odors such as almond, floral, and fruity. High-throughput sequencing results showed that the addition of koji and FELA1 changed the composition and abundance of bacteria and reduced the abundance of harmful bacteria. Spearman’s correlation coefficient indicated that the alcohols, aldehydes, and ketones of the inoculated fermented samples showed a strong correlation (|ρ| > 0.6) with Virgibacillus and Exiguobacterium, which contributed to the formation of good flavor in the fast fermented shrimp paste. This study may offer new insights into the production of rapidly fermented shrimp paste with better taste and flavor. Full article
(This article belongs to the Section Food Microbiology)
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<p>(<b>A</b>) Radar diagram of the electronic nose. (<b>B</b>) Principal component analysis of electronic data.</p>
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<p>(<b>A</b>) Radar diagram analysis of electronic tongues date. (<b>B</b>) Heat map analysis of electronic tongue data.</p>
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<p>(<b>A</b>,<b>B</b>) Types and contents of volatile compounds obtained by HS-SPME-GC-MS. (<b>C</b>) The content of volatile compounds and clustering results of the 2 shrimp paste samples according to HS-SPME-GC-MS. The color indicates the concentration of the compound, with blue and red indicating low and high concentrations, respectively. The higher the concentration of the compound, the darker the color.</p>
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<p>OPLS−DA score (<b>A</b>) and VIP scores (<b>B</b>) for the two shrimp pastes.</p>
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<p>Dominant and differential microorganisms of two shrimp paste species. (<b>A</b>, <b>B</b>) The relative abundance of microorganisms of phylum and genus in shrimp paste Q and T. (<b>C, D</b>) LEfSe analysis of dominant bacteria.</p>
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<p>Correlation network between microbial genera and flavor compounds.</p>
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16 pages, 3209 KiB  
Article
HS-SPME-GC-MS Combined with Orthogonal Partial Least Squares Identification to Analyze the Effect of LPL on Yak Milk’s Flavor under Different Storage Temperatures and Times
by Jinliang Zhang, Liwen Zhong, Pengjie Wang, Juan Song, Chengrui Shi, Yiheng Li, William Oyom, Hao Zhang, Yanli Zhu and Pengcheng Wen
Foods 2024, 13(2), 342; https://doi.org/10.3390/foods13020342 - 22 Jan 2024
Cited by 3 | Viewed by 1564
Abstract
Flavor is a crucial parameter for assessing the sensory quality of yak milk. However, there is limited information regarding the factors influencing its taste. In this study, the effects of endogenous lipoprotein lipase (LPL) on the volatile flavor components of yak milk under [...] Read more.
Flavor is a crucial parameter for assessing the sensory quality of yak milk. However, there is limited information regarding the factors influencing its taste. In this study, the effects of endogenous lipoprotein lipase (LPL) on the volatile flavor components of yak milk under storage conditions of 4 °C, 18 °C and 65 °C were analyzed via headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) combined with orthogonal partial least-squares (OPSL) discrimination, and the reasons for the changes in yak milk flavors were investigated. Combined with the difference in the changes in volatile flavor substance before and after the action of LPL, LPL was found to have a significant effect on the flavor of fresh yak milk. Fresh milk was best kept at 4 °C for 24 h and pasteurized for more than 24 h. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were employed to characterize the volatile components in yak milk under various treatment conditions. Twelve substances with significant influence on yak milk flavor were identified by measuring their VIP values. Notably, 2-nonanone, heptanal, and ethyl caprylate exhibited OAV values greater than 1, indicating their significant contribution to the flavor of yak milk. Conversely, 4-octanone and 2-heptanone displayed OAV values between 0.1 and 1, showing their important role in modifying the flavor of yak milk. These findings can serve as monitoring indicators for assessing the freshness of yak milk. Full article
(This article belongs to the Section Food Microbiology)
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<p>LPL gel electrophoresis (M: Maker; 1: LPL).</p>
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<p>LPL activity in yak milk under different treatments. Bars indicate standard error (±SE). Different letters represent significant differences within groups (<span class="html-italic">p</span> &lt; 0.05). S6, S18, S30: storage at 4 °C for 6, 18, and 30 h; M6, M18, M30: storage at 18 °C for 6, 18, and 30 h; H6, H18, H30: pasteurization treatment before storage for 6, 18, and 30 h.</p>
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<p>The residual amount of triglyceride in yak milk under different treatments. Bars indicate standard error (±SE). Different letters represent significant differences within groups (<span class="html-italic">p</span> &lt; 0.05). S6, S18, S30: storage at 4 °C for 6, 18, and 30 h; M6, M18, M30: storage at 18 °C for 6, 18, and 30 h; H6, H18, H30: pasteurization treatment before storage for 6, 18, or 30 h.</p>
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<p>Residual amount of triglyceride in yak milk under different treatments. Bars indicate standard error (±SE). (S6, S18, S30: storage at 4 °C for 6, 18, and 30 h; M6, M18, M30: storage at 18 °C for 6, 18, and 30 h; H6, H18, H30: pasteurization treatment before storage for 6, 18, and 30 h).</p>
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<p>Volatile flavor substances in yak milk after adding LPL. Storage at 18 °C for 30 h (M30), pasteurized before storage for 30 h (H30), pasteurized milk with LPL added for 30 h (HE30). The different lowercase letters represent significant differences between the groups (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Total kinds of volatile flavor substances. (S6, S18, S30: storage at 4 °C for 6, 18, and 30 h; M6, M18, M30: storage at 18 °C for 6, 18, and 30 h; H6, H18, H30: pasteurization treatment before storage for 6, 18, and 30 h).</p>
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<p>Arrangement of volatile flavor compounds after storage under different conditions; PCA score plot (<b>A</b>) and 200 permutation tests (<b>B</b>). In (<b>A</b>), green indicates 4 °C treatment, blue indicates 18 °C treatment, and red indicates pasteurization treatment.</p>
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<p>VIP values of volatile compounds in yak milk across different treatments.</p>
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<p>Radar chart of volatile substances that had significant effects on the flavor of yak milk. S6, S18, S30: storage at 4 °C for 6, 18, and 30 h; M6, M18, M30: storage at 18 °C for 6, 18, and 30 h; H6, H18, H30: pasteurization treatment before storage for 6, 18, and 30 h).</p>
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23 pages, 3099 KiB  
Article
Sensory-Guided Establishment of Sensory Lexicon and Investigation of Key Flavor Components for Goji Berry Pulp
by Shuying Wang, Qingyu Su, Yuxuan Zhu, Jiani Liu, Xinke Zhang, Yu Zhang and Baoqing Zhu
Plants 2024, 13(2), 173; https://doi.org/10.3390/plants13020173 - 8 Jan 2024
Viewed by 1478
Abstract
Many customers prefer goji berry pulp, well-known for its high nutritional content, over fresh goji berries. However, there is limited research on its sensory lexicon and distinctive flavor compounds. This study focused on developing a sensory lexicon for goji berry pulp and characterizing [...] Read more.
Many customers prefer goji berry pulp, well-known for its high nutritional content, over fresh goji berries. However, there is limited research on its sensory lexicon and distinctive flavor compounds. This study focused on developing a sensory lexicon for goji berry pulp and characterizing its aroma by sensory and instrumental analysis. Sensory characteristics of goji berry pulp were evaluated by our established lexicon. A total of 83 aromatic compounds in goji berry pulp were quantified using HS-SPME-GC-Orbitrap-MS. By employing OAV in combination, we identified 17 aroma-active compounds as the key ingredients in goji berry pulp. Then, we identified the potentially significant contributors to the aroma of goji berry pulp by combining principal component analysis and partial least squares regression (PLSR) models of aroma compounds and sensory attributes, which included 3-ethylphenol, methyl caprylate, 2-hydroxy-4-methyl ethyl valerate, benzeneacetic acid, ethyl ester, hexanal, (E,Z)-2,6-nonadienal, acetylpyrazine, butyric acid, 2-ethylhexanoic acid, 2-methyl-1-propanol, 1-pentanol, phenylethyl alcohol, and 2-nonanone. This study provides a theoretical basis for improving the quality control and processing technology of goji berry pulp. Full article
(This article belongs to the Section Plant Physiology and Metabolism)
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<p>The principal component analysis, hierarchical clustering analysis of sensory attribute, and sensory profile analysis of goji berry pulp. (<b>a</b>) PC1 and PC2 of the principal component analysis for attributes of goji berry pulp (in Goji berry −A and Tomato −A, the ‘A’ stands for the abbreviation of aroma, in Goji berry −F and Tomato −F, the ‘F’ stands for the abbreviation of flavor); (<b>b</b>) PC3 and PC4 of the principal component analysis for attributes of goji berry pulp, (black font indicates samples, red font indicates sensory attributes); (<b>c</b>) clustering diagram for aroma attributes (different colors represent different aroma categories); (<b>d</b>) clustering diagram for mouthfeel/flavor attributes (different colors represent different flavor /mouthfeel categories); (<b>e</b>) goji berry pulp aroma profile chart; (<b>f</b>) goji berry pulp flavor/mouthfeel profile chart(spider web of sensory profile analysis of goji berry pulp based on cluster analysis).</p>
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<p>(<b>a</b>) Heat map of the volatile aroma content of the goji berry pulp. (Alphabetical symbols indicate aroma compounds, <a href="#plants-13-00173-t003" class="html-table">Table 3</a>). (<b>b</b>,<b>c</b>) The correlation analysis of aroma compounds and aroma descriptors in goji berry pulp, the PCA of aroma compounds supplemented with aroma intensity of aroma descriptors. (Alphabetical symbols indicate aroma compounds, <a href="#plants-13-00173-t003" class="html-table">Table 3</a>).</p>
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<p>PLSR analysis of aroma attribute and volatile aroma compounds. (<b>a</b>) PLSR analysis of “goji berry aroma” and volatile aroma compounds. (“*” Indicates compound OAV &gt; 1) (<b>b</b>) PLSR analysis of “tomato aroma” and volatile aroma compounds (“*” indicates compound OAV &gt; 1). (<b>c</b>) PLSR analysis of “roast sweet potatoes aroma” and volatile aroma compounds (“*” Indicates compound OAV &gt; 1). (<b>d</b>) PLSR analysis of “pumpkin aroma” and volatile aroma compounds. (<b>e</b>) PLSR analysis of “hay aroma” and volatile aroma compounds (“*” indicates compound OAV &gt; 1). (<b>f</b>) PLSR analysis of “sweet aroma” and volatile aroma compounds (“*” indicates compound OAV &gt; 1). (<b>g</b>) PLSR analysis of “honey aroma” and volatile aroma compounds (“*” indicates compound OAV &gt; 1). (<b>h</b>) PLSR analysis of “acetic acid aroma” and volatile aroma compounds (“*” indicates compound OAV &gt; 1). (<b>i</b>) PLSR analysis of “jujube aroma” and volatile aroma compounds (“*” indicates compound OAV &gt; 1). Red indicates aroma attributes, blue indicates aroma compounds.</p>
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<p>Interaction map of volatile compounds and aroma properties network. (The red connecting lines represent positive correlations, while the blue connecting lines represent negative correlations. The thicker the connecting line, the stronger the correlation).</p>
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18 pages, 7227 KiB  
Article
Chemodiversity and Bioactivity of the Essential Oils of Juniperus and Implication for Taxonomy
by Huizhong Hu, Dengwu Li, Ruxue Bai, Weiping Zhang, Hong Luo and Enping Yu
Int. J. Mol. Sci. 2023, 24(20), 15203; https://doi.org/10.3390/ijms242015203 - 15 Oct 2023
Cited by 1 | Viewed by 1340
Abstract
The essential oils of Juniperus are highly beneficial medicinally. The present study aimed to assess the chemodiversity and bioactivity of Juniperus formosana, Juniperus przewalskii, Juniperus convallium, Juniperus tibetica, Juniperus komarovii, and Juniperus sabina essential oils from the Qinghai-Tibet [...] Read more.
The essential oils of Juniperus are highly beneficial medicinally. The present study aimed to assess the chemodiversity and bioactivity of Juniperus formosana, Juniperus przewalskii, Juniperus convallium, Juniperus tibetica, Juniperus komarovii, and Juniperus sabina essential oils from the Qinghai-Tibet Plateau. The results revealed 92 components in six essential oils: α-pinene (2.71–17.31%), sabinene (4.91–19.83%), and sylvestrene (1.84–8.58%) were the main components. Twelve components were firstly reported in Juniperus oils, indicating that the geographical location and climatic conditions of the Qinghai-Tibet Plateau produced the unique characteristics of Juniperus essential oils. The chemodiversity of Juniperus essential oils varied greatly, with J. sabina having the most recognized components (64) and the highest chemodiversity (Shannon–Wiener index of 3.07, Simpson’s diversity index of 0.91, and Pielou evenness of 0.74). According to the chemodiversity of essential oils, the six plants were decided into the α-pinene chemotype (J. formosana), hedycaryol chemotype (J. przewalskii, J. komarovii, J. convallium, J. tibetica), and sabinene chemotype (J. sabina). PCA, HCA and OPLS-DA showed that J. formosana and J. sabina were distantly related to other plants, which provides a chemical basis for the classification of Juniperus plants. Furthermore, bioactivity tests exhibited certain antioxidant and antibacterial effects in six Juniperus oils. And the bioactivities of J. convallium, J. tibetica, and J. komarovvii were measured for the first time, broadening the range of applications of Juniperus. Correlation analysis of components and bioactivities showed that δ-amorphene, β-udesmol, α-muurolol, and 2-nonanone performed well in the determination of antioxidant activity, and α-pinene, camphene, β-myrcene, as well as (E)-thujone, had strong inhibitory effects on pathogenic bacteria, providing a theoretical basis for further research on these components. Full article
(This article belongs to the Section Bioactives and Nutraceuticals)
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<p>Main components (<b>A</b>) and trace components (<b>B</b>) of essential oils from six <span class="html-italic">Juniperus</span> species. Different colors represent different compounds.</p>
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<p>Distributions of shared and unique components (<b>A</b>) and correlation analysis of common compounds (<b>B</b>) in essential oils from six Juniperus species. Different numbers indicate the number of compound species, and the connecting lines indicate that these species share compounds (<b>A</b>). Different colors represent the relative contents of compounds (<b>B</b>).</p>
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<p>Chemical diversity (<b>A</b>) and correlation analysis (<b>B</b>) of essential oils from six <span class="html-italic">Juniperus</span> species. H′ is the Shannon–Wiener index; Ds is the Simpson’s diversity index; E is the Pielou evenness; NC is the number of compounds; TA is the total area;.“*”: <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Correlation analysis (<b>A</b>), principal component analysis (PCA) and hierarchical clustering analysis (HCA) (<b>B</b>), correlation analysis and OPLS-DA (<b>C</b>), and S-plot (<b>D</b>) of essential oils from six <span class="html-italic">Juniperus</span> species. (The mark in orange is the chemical components with VIP values greater than 2).</p>
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<p>Inhibition zone diameter (<b>A</b>), and MIC and MBC (<b>B</b>) of the essential oils from six <span class="html-italic">Juniperus</span> species against nine bacteria.</p>
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<p>Correlation analysis of EOs compounds and bioactivity.</p>
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18 pages, 5510 KiB  
Article
The Impact of 2-Ketones Released from Solid Lipid Nanoparticles on Growth Modulation and Antioxidant System of Lactuca sativa
by Paola Fincheira, Javier Espinoza, Joelis Vera, Daniela Berrios, Javiera Nahuelcura, Antonieta Ruiz, Andrés Quiroz, Luis Bustamante, Pablo Cornejo, Gonzalo Tortella, María Cristina Diez, Adalberto Benavides-Mendoza and Olga Rubilar
Plants 2023, 12(17), 3094; https://doi.org/10.3390/plants12173094 - 29 Aug 2023
Cited by 4 | Viewed by 1507
Abstract
2-Ketones are signal molecules reported as plant growth stimulators, but their applications in vegetables have yet to be achieved. Solid lipid nanoparticles (SLNs) emerge as a relevant nanocarrier to develop formulations for the controlled release of 2-ketones. In this sense, seedlings of Lactuca [...] Read more.
2-Ketones are signal molecules reported as plant growth stimulators, but their applications in vegetables have yet to be achieved. Solid lipid nanoparticles (SLNs) emerge as a relevant nanocarrier to develop formulations for the controlled release of 2-ketones. In this sense, seedlings of Lactuca sativa exposed to 125, 375, and 500 µL L−1 of encapsulated 2-nonanone and 2-tridecanone into SLNs were evaluated under controlled conditions. SLNs evidenced a spherical shape with a size of 230 nm. A controlled release of encapsulated doses of 2-nonanone and 2-tridecanone was observed, where a greater release was observed as the encapsulated dose of the compound increased. Root development was strongly stimulated mainly by 2-tridecanone and leaf area (25–32%) by 2-nonanone. Chlorophyll content increased by 15.8% with exposure to 500 µL L−1 of 2-nonanone, and carotenoid concentration was maintained with 2-nonanone. Antioxidant capacity decreased (13–62.7%) in L. sativa treated with 2-ketones, but the total phenol concentration strongly increased in seedlings exposed to some doses of 2-ketones. 2-Tridecanone strongly modulates the enzymatic activities associated with the scavenging of H2O2 at intra- and extracellular levels. In conclusion, 2-ketones released from SLNs modulated the growth and the antioxidant system of L. sativa, depending on the dose released. Full article
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<p>Microscopic characterization and dynamic light scattering analysis of solid lipid nanoparticles to encapsulate doses of 2-nonanone and 2-tridecanone. Representative photograph of SLNs dispersed (<b>a</b>) in water and (<b>b</b>) captured in a scanning transmission electron microscope and (<b>c</b>) hydrodynamic size and (<b>d</b>) stability measured by ζ-potential through dynamic light scattering.</p>
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<p>Physicochemical characterization of SLNs containing 2-ketones. TGA of SLNs containing (<b>a</b>) 2-nonanone and (<b>b</b>) 2-tridecanone. (<b>c</b>) FTIR spectra of (1) 2-tridecanone, (2) 2-nonanone, (3) SLNs containing 2-nonanone, (4) SLNs containing 2-tridecanone, and (5) formulation of SLN.</p>
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<p>Cumulative release of (<b>a</b>) 2-nonanone and (<b>b</b>) 2-tridecanone from solid lipid nanoparticles (SLNs) during 72 h at 25 °C. The points represent a mean of three replicates, and bars represent standard error.</p>
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<p>Growth promotion on <span class="html-italic">L. sativa</span> seedlings on day 14 modulated by different doses of 2-nonanone and 2-tridecanone released from SLNs. (<b>a</b>) Root length, (<b>b</b>) leaf area, (<b>c</b>) number of lateral root length, and (<b>d</b>) lateral root length. Letters indicate statistically significant differences according to the ANOVA test (<span class="html-italic">p</span> &lt; 0.05, Tukey test) (N = 20–30). Bars indicate standard error.</p>
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<p>Total (<b>a</b>) chlorophyll and (<b>b</b>) carotenoid contents in leaves of <span class="html-italic">L. sativa</span> exposed to doses of 2-nonanone and 2-tridecanone released from SLNs on day 14. Letters indicate statistically significant differences according to the ANOVA test (N = 3, <span class="html-italic">p</span> &lt; 0.05, Tukey test).</p>
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<p>(<b>a</b>) Electrolyte, (<b>b</b>) leakage, (<b>c</b>) proline, and total protein concentration on seedling leaves of <span class="html-italic">L. sativa</span> exposed to doses of 2-nonanone and 2-tridecanone released from SLNs on day 14. Letters indicate statistically significant differences according to the ANOVA test (N = 3, <span class="html-italic">p</span> &lt; 0.05, Tukey test).</p>
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<p>Antioxidant activity evaluated in leaves of <span class="html-italic">L. sativa</span> mediated by doses of 2-nonanone and 2-tridecanone released from SLNs on day 14. (<b>a</b>) 2,2-Diphenyl-1-picrylhydrazyl (DPPH) radical, (<b>b</b>) Trolox equivalent antioxidant activity (TEAC), (<b>c</b>) cupric ion-reducing antioxidant activity (CUPRAC), and (<b>d</b>) total phenol concentration. Letters indicate statistically significant differences according to the ANOVA test (N = 3, <span class="html-italic">p</span> &lt; 0.05, Tukey test).</p>
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<p>Chicoric acid identification and concentration in leaves of <span class="html-italic">L. sativa</span> seedlings exposed to doses of 2-nonanone and 2-tridecanone released from SLNs. Letters indicate statistically significant differences according to the ANOVA test (N = 3, <span class="html-italic">p</span> &lt; 0.05, Tukey test).</p>
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<p>Antioxidant enzymes evaluated on seedlings of <span class="html-italic">L. sativa</span> mediated by 2-nonanone and 2-tridecanone released from SLNs on day 14. (<b>a</b>) Ascorbate peroxidase (APX), (<b>b</b>) catalase (CAT), (<b>c</b>) peroxidase (POX), and (<b>d</b>) superoxide dismutase (SOD). Letters indicate statistically significant differences according to the ANOVA test (N = 3, <span class="html-italic">p</span> &lt; 0.05, Tukey test).</p>
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18 pages, 4969 KiB  
Article
Microbial Communities and Correlation between Microbiota and Volatile Compounds in Fermentation Starters of Chinese Sweet Rice Wine from Different Regions
by Jing Zou, Xiaohui Chen, Chenyu Wang, Yang Liu, Miao Li, Xinyuan Pan and Xuedong Chang
Foods 2023, 12(15), 2932; https://doi.org/10.3390/foods12152932 - 2 Aug 2023
Cited by 1 | Viewed by 1933
Abstract
Chinese sweet rice wines (CSRW) are traditional, regionally distinct alcoholic beverages that are generally brewed with glutinous rice and fermentation starters. This study aimed to characterize microbial communities and volatile compounds of CSRW starters and explore correlations between them. The major volatiles in [...] Read more.
Chinese sweet rice wines (CSRW) are traditional, regionally distinct alcoholic beverages that are generally brewed with glutinous rice and fermentation starters. This study aimed to characterize microbial communities and volatile compounds of CSRW starters and explore correlations between them. The major volatiles in starters include 1-heptanol, 1-octanol, 2-nonanol, phenylethyl alcohol, 2-nonanone, acetophenone, and benzaldehyde. Microbiological analysis based on high-throughput sequencing (HTS) technology demonstrated that starter bacterial communities are dominated by Weissella, Pediococcus, and Lactobacillus, while Saccharomycopsis and Rhizopus predominate in fungal communities. Carbohydrate and amino acid metabolism are the most active metabolic pathways in starters. Spearman correlation analysis revealed that 15 important volatile compounds including alcohols, acids, aldehydes and esters were significantly positively correlated with nine microbial genera (|r| > 0.7, p < 0.05), including five bacterial genera (i.e., Weissella, Pediococcus, Lactobacillus, Bacillus, and Nocardiopsis) and four fungal genera (i.e., Saccharomycopsis, Rhizopus, Wickerhamomyces, and Cyberlindnera), spanning 19 distinct relationships and these microorganisms were considered the core functional microorganisms in CSRW starters. The most important positive correlations detected between phenylethyl alcohol and Weissella or Saccharomycopsis and between 2-nonanol and Pediococcus. This study can serve as a reference to guide the development of defined starter cultures for improving the aromatic quality of CSRW. Full article
(This article belongs to the Special Issue Microorganisms and Enzymes in Fermented Products)
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<p>Samples from different parts of southern China.</p>
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<p>Heatmap of volatile compounds detected in CSRW starters. Legends show the log-transformed scores of their relative abundance.</p>
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<p>Variation in the volatile compounds of CSRW fermentation starter cultures from different geographic locations. (<b>A</b>) Bray–Curtis PCA plot of volatile compounds based on their relative contents. (<b>B</b>) PCA loading plot of the volatile compounds. (<b>C</b>) The volatile compounds significantly contributed to the observed variation in Bray–Curtis PCA plots.</p>
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<p>The beta diversity (PCoA) of microbial communities of CSRW starter samples from different geographic locations. (<b>A</b>) PCoA of bacterial communities within starter samples; (<b>B</b>) PCoA of fungal communities within starter samples; and (<b>C</b>) hierarchical cluster analysis of bacterial communities and (<b>D</b>) fungal communities.</p>
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<p>Genus-level relative abundance of microorganisms (&gt;1%) in CSRW starter samples. Bacteria (<b>A</b>), Fungi (<b>B</b>).</p>
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<p>Predicted functional profiles of bacterial communities in fermentation starters from different regions. (<b>A</b>) Bar graph of level 1 KEGG functional categories inferred by PICRUSt2. (<b>B</b>) Bar graph of level 2 KEGG functional categories inferred by PICRUSt2.</p>
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<p>Co-occurrence analysis based on Spearman correlations between all of the volatile components of starters and predominant microbial genera. All correlations had <span class="html-italic">p</span> value &lt; 0.05 and |r| &gt; 0.7. Red lines represent positive correlations between volatile components and microorganisms, blue lines represent negative correlations between volatile components and microorganisms. Bold connecting lines represent highly significant correlations (|r| &gt; 0.7, <span class="html-italic">p</span> &lt; 0.01).</p>
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22 pages, 2474 KiB  
Article
Electrophysiological and Behavioral Responses of Virgin Female Bactrocera tryoni to Microbial Volatiles from Enterobacteriaceae
by Anaïs K. Tallon, Lee-Anne Manning and Flore Mas
Microorganisms 2023, 11(7), 1643; https://doi.org/10.3390/microorganisms11071643 - 23 Jun 2023
Cited by 1 | Viewed by 1470
Abstract
The Queensland fruit fly (Bactrocera tryoni) is a major polyphagous pest widespread in Australia and several Pacific Islands. Bacteria present on the host plant phyllosphere supply proteins, essential for egg development and female sexual maturity. We investigated the role of microbial [...] Read more.
The Queensland fruit fly (Bactrocera tryoni) is a major polyphagous pest widespread in Australia and several Pacific Islands. Bacteria present on the host plant phyllosphere supply proteins, essential for egg development and female sexual maturity. We investigated the role of microbial volatile organic compounds (MVOCs) emitted by Enterobacteriaceae commonly found on the host plant and in the fly gut in attracting virgin females. Bacteria were cultured on artificial media and natural fruits, at various pH, and MVOCs were collected using different headspace volatile absorbent materials. The olfactory responses of virgin females to bacterial MVOCs were assessed via electrophysiology and behavioral assays. The production of MVOCs was strongly influenced qualitatively by the bacterial strain and the type of media, and it semi-quantitatively varied with pH and time. MVOCs emitted by Klebsiella oxytoca invoked the strongest antennal response and were the most attractive. Among the identified compounds triggering an olfactory response, D-limonene and 2-nonanone were both significantly behaviorally attractive, whereas phenol, nonanal, isoamyl alcohol, and some pyrazines appeared to be repulsive. This study deepens our understanding of the chemical ecology between fruit flies and their bacterial symbionts and paves the way for novel synthetic lures based on specifically MVOCs targeting virgin females. Full article
(This article belongs to the Section Food Microbiology)
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<p>Relative peak area (i.e., total area under the compound peak over the total peak areas from all compounds within a sample) of a selection of antennally active compounds produced by four bacteria and collected by solid phase micro-extraction (SPME). CF, <span class="html-italic">Citrobacter freundii;</span> EC, <span class="html-italic">Enterobacter cloacae</span>; KO, <span class="html-italic">Klebsiella oxytoca</span>; PA, <span class="html-italic">Enterobacter</span> (syn. <span class="html-italic">Pantoea</span>) <span class="html-italic">agglomerans</span>.</p>
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<p>Nonmetric multidimensional scaling (NMDS) plot (stress = 0.107) of the chemical composition of three fruits (apples, kiwifruit, and oranges) and un-inoculated fruits (control). Each point represents a Tenax<sup>®</sup> (solid)- or SPME-extract sample. The color of the points encodes for the bacterial strains, and the shape encodes for the incubation time prior odor collection. CF, <span class="html-italic">Citrobacter freundii</span>; EC, <span class="html-italic">Enterobacter cloacae</span>; KO, <span class="html-italic">Klebsiella oxytoca</span>; PA, <span class="html-italic">Enterobacter</span> (syn. <span class="html-italic">Pantoea</span>) <span class="html-italic">agglomerans</span>. Centroids of the clusters of each fruit are represented by ellipses (standard deviation in gray). Volatile profiles are significantly different between fruits (ANOSIM, R = 0.5032, <span class="html-italic">p</span> = 1e-04), and the collection methods (ANOSIM; R = 0.19, <span class="html-italic">p</span> = 2e-04).</p>
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<p>Relative abundance of key chemical classes in fruit samples inoculated by four bacteria strains: CF, <span class="html-italic">Citrobacter freundii</span>; EC, <span class="html-italic">Enterobacter cloacae</span>; KO, <span class="html-italic">Klebsiella oxytoca</span>; PA, <span class="html-italic">Enterobacter</span> (syn. <span class="html-italic">Pantoea</span>) <span class="html-italic">agglomerans</span>. Proportions are represented in apples, kiwifruits, and oranges, collected either via Tenax<sup>®</sup> or solid phase micro-extraction (SPME) and un-inoculated fruits (control, SPME and Tenax<sup>®</sup> combined) at 24 h post-inoculation (<b>A</b>), and in inoculated kiwifruits and control, collected via Tenax<sup>®</sup>, at 24 h (CF, EC, KO, PA), 72 h (CF, EC), and 5 days (CF, EC, KO, PA) post-inoculation (<b>B</b>).</p>
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<p>Intensity of electroantennogram (EAG) responses (mV) from virgin female <span class="html-italic">Bactrocera tryoni</span> to Tenax<sup>®</sup> extracts from each bacterium (Control: tryptone soya broth (TSB) media; CF: <span class="html-italic">Citrobacter freundii</span>; EC: <span class="html-italic">Enterobacter cloacae</span>; KO: <span class="html-italic">Klebsiella oxytoca</span>; PA: <span class="html-italic">Enterobacter</span> (syn. <span class="html-italic">Pantoea</span>) <span class="html-italic">agglomerans</span>). EAG responses of all replicates (grey) and average response (black) are shown.</p>
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<p>Gas-chromatograph coupled with electroantennographic detection (GC-EAD) responses (in µV) of irradiated virgin female <span class="html-italic">Bactrocera tryoni</span> to specific microbial volatile organic compounds produced by a mix of four bacteria at different pH levels collected by solid phase micro-extraction (SPME). Dots represent individual points, and blue lines with greyish areas represent overall mean and standard deviation.</p>
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<p>Boxplots showing the percentage in each cage of sexually immature females <span class="html-italic">Bactrocera tryoni</span> choosing between the bacterial Tenax<sup>®</sup> extracts, the control solvent or no-choice after 24 h. Four bacterial extracts were tested as follows: CF, <span class="html-italic">Citrobacter freundii</span>; EC, <span class="html-italic">Enterobacter cloacae</span>; KO, <span class="html-italic">Klebsiella oxytoca</span>; PA, <span class="html-italic">Enterobacter (syn. Pantoea) agglomerans</span>. (n = 10 for each bacterium). Black dots are outliers.</p>
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<p>Absolute number of virgin females <span class="html-italic">Bactrocera tryoni</span> choosing between individual compounds (black bars) versus the control solvent (grey bars) in a Y-tube olfactometer. (n = 20 for each compound). Statistical significance: <span class="html-italic">p</span> ≤ 0.05 (*), <span class="html-italic">p</span> ≤ 0.01 (**), <span class="html-italic">p</span> ≤ 0.001 (***).</p>
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21 pages, 1892 KiB  
Article
Cocoa Shell Infusion: A Promising Application for Added-Value Beverages Based on Cocoa’s Production Coproducts
by Johannes Delgado-Ospina, Luigi Esposito, Junior Bernardo Molina-Hernandez, José Ángel Pérez-Álvarez, Maria Martuscelli and Clemencia Chaves-López
Foods 2023, 12(13), 2442; https://doi.org/10.3390/foods12132442 - 21 Jun 2023
Cited by 4 | Viewed by 2230
Abstract
The cocoa shell (CS) is being incorporated into different food products due to its recognized content of bioactive compounds. In the case of cocoa shell infusions (CSI), the bioactive compounds that manage to be transferred to the infusion have yet to be clearly [...] Read more.
The cocoa shell (CS) is being incorporated into different food products due to its recognized content of bioactive compounds. In the case of cocoa shell infusions (CSI), the bioactive compounds that manage to be transferred to the infusion have yet to be clearly known, i.e., what is really available to the consumer. In this study, CS was obtained from toasted Colombian Criollo cocoa beans. Three particle sizes (A: >710 µm; B: >425 and <710 µm; C: <425 µm) were evaluated in the CSI, which was traditionally prepared by adding CS to hot water (1%). The decrease in particle size increased the antioxidant capacity (DPPH and ABTS) and the total phenolic compounds. A significant effect (p < 0.05) both of the particle size and of the temperature of tasting was found on some sensory attributes: greater bitterness, acidity, and astringency were due to the greater presence of epicatechin, melanoidins, and proanthocyanidins in the smaller particle sizes. The analysis of the volatile organic compounds showed that the CSI aroma was characterized by the presence of nonanal, 2-nonanone, tetramethylpyrazine, α-limonene, and linalool, which present few variations among the particle sizes. Moreover, analysis of biogenic amines, ochratoxin A, and microbial load showed that CSI is not a risk to public health. Reducing particle size becomes an important step to valorize the functional properties of CS and increase the quality of CSI. Full article
(This article belongs to the Section Food Engineering and Technology)
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<p>Reflectance spectra (400–700 nm) of the cacao shell infusion (CSI) for the three treatments.</p>
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<p>Polyphenolic profile of CSI obtained from different particle sizes (CSI−A, &gt; 710 µm; CSI−B, &gt; 425 &lt; 710 µm; CSI−C, &lt; 425 µm).</p>
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<p>Principal component analysis related to the COVs in cocoa shells (CS) and cocoa shell infusions (CSI) with different particle sizes (CSI−A, &gt;710 µm; CSI−B, &gt;425 &lt;710 µm; CSI−C, &lt;425 µm).</p>
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<p>Spider plots of hot (<b>a</b>) and cold (<b>b</b>) infusions obtained from different particle sizes (A and D, &gt;710 µm; B and E, &gt;425 &lt;710 µm; C and F, &lt;425 µm). Mean values of scores for descriptors are reported.</p>
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15 pages, 3439 KiB  
Article
Multifunctional Zn(II) Coordination Polymer as Highly Selective Fluorescent Sensor and Adsorbent for Dyes
by Mohd. Muddassir, Abdullah Alarifi, Naaser A. Y. Abduh, Waseem Sharaf Saeed, Abdulnasser Mahmoud Karami and Mohd. Afzal
Int. J. Mol. Sci. 2023, 24(10), 8512; https://doi.org/10.3390/ijms24108512 - 10 May 2023
Cited by 5 | Viewed by 1923
Abstract
A new Zn(II)-based coordination polymer (1) comprising the Schiff base ligand obtained by the condensation of 5-aminosalicylic acid and salicylaldehyde has been synthesized. This newly synthesized compound has been characterized by analytical and spectroscopic methods, and finally, by single-crystal X-ray diffraction [...] Read more.
A new Zn(II)-based coordination polymer (1) comprising the Schiff base ligand obtained by the condensation of 5-aminosalicylic acid and salicylaldehyde has been synthesized. This newly synthesized compound has been characterized by analytical and spectroscopic methods, and finally, by single-crystal X-ray diffraction technique in this study. The X-ray analysis reveals a distorted tetrahedral environment around the central Zn(II) center. This compound has been used as a sensitive and selective fluorescent sensor for acetone and Ag+ cations. The photoluminescence measurements indicate that in the presence of acetone, the emission intensity of 1 displays quenching at room temperature. However, other organic solvents caused meagre changes in the emission intensity of 1. Additionally, the fluorescence intensity of 1 has been examined in the presence of different ketones viz. cyclohexanone, 4-heptanone, and 5-nonanone, to assess the interaction between the C=O group of the ketones and the molecular framework of 1. Moreover, 1 displays a selective recognition of Ag+ in the aqueous medium by an enhancement in its fluorescence intensity, representing its high sensitivity for the detection of Ag+ ions in a water sample. Additionally, 1 displays the selective adsorption of cationic dyes (methylene blue and rhodamine B). Hence, 1 showcases its potential as an excellent luminescent probe to detect acetone, other ketones, and Ag+ with an exceptional selectivity, and displaying a selective adsorption of cationic dye molecules. Full article
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<p>(<b>a</b>) The perspective view of <b>1</b>. (<b>b</b>) ORTEP diagram for the asymmetric unit of <b>1</b> with a 30% probability density. (<b>c</b>) Two-dimensional layered packing of <b>1</b>. (<b>d</b>) Strong N–H⋯O and O–H⋯O hydrogen bonding interactions in <b>1</b>. (<b>e</b>) Varied non-covalent interactions in <b>1</b> (color catalogs: π⋯π green, C–O⋯π yellow, C–H⋯π pink, and Zn⋯O blue).</p>
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<p>Representing weak C–H⋯O hydrogen bonding interactions in complex <b>1</b>.</p>
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<p>(<b>a</b>) Hirshfeld surfaces of <b>1</b>; (<b>b</b>) Fingerprint plots of <b>1</b>; (<b>c</b>) TGA of <b>1</b>; (<b>d</b>) UV–Vis. spectrum for <b>1</b>.</p>
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<p>(<b>a</b>) Fluorescence spectra of complex <b>1</b> in acetonitrile (blank) and in the presence of various other solvents. (<b>b</b>) Quenching efficiency of complex <b>1</b> upon the addition of various organic solvents, except for acetone (green) and the subsequent addition of acetone (grey). (<b>c</b>) Change in the fluorescence intensity of <b>1</b> dissolved in acetonitrile (blank) upon titration with acetone. (<b>d</b>) Fluorescence intensity of complex <b>1</b> in various ketones (λ<sub>ex</sub> = 270 nm).</p>
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<p>(<b>a</b>) Fluorescence spectra of complex <b>1</b> in acetonitrile (blank) and in the presence of different metal ions (λ<sub>ex</sub> = 270 nm); (<b>b</b>) in the presence of various metal ions (red) and without Ag<sup>+</sup> ions (sky blue); (<b>c</b>) upon incremental addition of Ag<sup>+</sup> ions (5 × 10<sup>−6</sup> to 6.0 × 10<sup>−5</sup> M).</p>
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<p>Changes in the UV–Vis absorption pattern of complex <b>1</b> in the presence of (<b>a</b>) MB, (<b>b</b>) MO, and (<b>c</b>) Rh-B as a function of time.</p>
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<p>Synthetic routes for the preparation of complex <b>1</b>.</p>
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12 pages, 2416 KiB  
Article
Effect of a Dairy Cow’s Feeding System on the Flavor of Raw Milk: Indoor Feeding or Grazing
by Xuelu Chi, Ning Yuan, Yangdong Zhang, Nan Zheng and Huimin Liu
Foods 2023, 12(9), 1868; https://doi.org/10.3390/foods12091868 - 30 Apr 2023
Cited by 3 | Viewed by 2014
Abstract
The flavor of fresh, raw milk is considered to be the key to maintaining the quality of dairy products, and is very crucial in affecting a consumer’s choice. To better understand the differences in flavor of fresh milk between feeding patterns, we conducted [...] Read more.
The flavor of fresh, raw milk is considered to be the key to maintaining the quality of dairy products, and is very crucial in affecting a consumer’s choice. To better understand the differences in flavor of fresh milk between feeding patterns, we conducted the following study. Twelve Holstein cows reared in pure grazing mode and twelve reared intensively in medium to large farms were selected from the Xinjiang Uygur Autonomous Regions at the same time, and the flavor of their raw milk was analyzed. Aroma profiles and taste attributes were assessed by electronic nose and electronic tongue, respectively, and volatile flavor compounds were characterized and quantified by Headspace-Solid Phase Microextraction/Gas Chromatography-Mass Spectrometry. Thirteen volatile compounds were identified in the indoor feeding pattern and 12 in the grazing; most of them overlapped. W1S, W2S and W5S were the main contributing sensors of the electronic nose for the overall assessment of the aroma profile. Raw milk from grazing had more intense astringency, bitterness, sourness and richness in taste compared to indoor feeding. Different dietary conditions may contribute to a variety of aroma profiles. Oxime-, methoxy-phenyl-, octadecanoic acid, furfural and dodecanoic acid were the key volatile flavor compounds of grazing. Meanwhile, raw milk from indoor feeding patterns was unique in 2-nonanone, heptanoic acid and n-decanoic acid. All three detection techniques were valid and feasible for differentiating raw milk in both feeding patterns, and the compounds were significantly correlated with the key sensors by correlation analysis. This study is promising for the future use of metabolic sources of volatile organic compounds to track and monitor animal feeding systems. Full article
(This article belongs to the Section Dairy)
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<p>Response curve of raw milk samples under two feeding patterns. (<b>A</b>) Raw milk from grazing; (<b>B</b>) raw milk from indoor feeding.</p>
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<p>Electronic nose sensor evaluation results. (<b>A</b>) Radar chart of raw milk at different feeding patterns; (<b>B</b>) loading plot of principal component analysis of raw milk subjected to different feeding patterns.</p>
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<p>Principal component analysis based on the e-nose data set of samples. (<b>A</b>) Score scatter plot of raw milk at different feeding patterns; (<b>B</b>) biplot of raw milk at different feeding patterns.</p>
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<p>Partial Least Squares-Discriminant Analysis (PLS-DA) results based on electronic tongue. (<b>A</b>) Loading plot of raw milk under two feeding patterns. (<b>B</b>) VIP scores of raw milk based on electronic tongue under two feeding patterns, Each point in the graph represents the score of the VIP. There are corresponding numbers in the horizontal coordinates. (<b>C</b>) Biplot of raw milk in two feeding patterns.</p>
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<p>Orthogonal partial least squares discriminant analysis (OPLS-DA) results based on volatile flavor compounds data. (<b>A</b>) Score scatter plot of raw milk at different feeding patterns; (<b>B</b>) Biplot of raw milk at different feeding patterns.</p>
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<p>Correlation between volatile compounds and main intelligent sensory signals.</p>
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13 pages, 1853 KiB  
Article
Headspace Solid Phase Micro-Extraction of Volatile Constituents Produced from Saudi Ruta chalepensis and Molecular Docking Study of Potential Antioxidant Activity
by Hanan Y. Aati, Hala Attia, Razan Babtin, Najla Al-Qahtani and Juergen Wanner
Molecules 2023, 28(4), 1891; https://doi.org/10.3390/molecules28041891 - 16 Feb 2023
Cited by 4 | Viewed by 1890
Abstract
Ruta chalepensis L., commonly known as Shazab in Saudi Arabia, is one of the famous culinary plants belonging to the Rutaceae family. It is commonly used in ethnomedicine in treating numerous diseases. This study was performed to characterize the essential oil isolated from [...] Read more.
Ruta chalepensis L., commonly known as Shazab in Saudi Arabia, is one of the famous culinary plants belonging to the Rutaceae family. It is commonly used in ethnomedicine in treating numerous diseases. This study was performed to characterize the essential oil isolated from Saudi species using a relatively new advanced headspace solid-phase microextraction technique. Following that, the antioxidant activity of the extracted oil was assessed using in vitro techniques such as the DPPH and nitric oxide scavenging tests, as well as the reducing power FRAP study and the molecular docking tool. The essential oil yield of the dried plant was 0.83% (v/w). Gas chromatography joined with a mass spectrometer was used to determine the chemical composition of the pale-yellow essential oil. Sixty-eight constituents were detected, representing 97.70% of the total oil content. The major constituents were aliphatic ketones dominated by 2-undecanone (37.30%) and 2-nonanone (20.00%), with minor constituents of mono and sesquiterpenoids chemical classes. Nicotinamide adenine dinucleotide phosphate (NADPH) oxidase is one of the major causes of many contemporary diseases due to its ability to create a reactive oxygen species (ROS). Thus, molecular docking was used to confirm that some oil phytoconstituents have good docking scores compared to the standard antioxidant drug (Vitamin C), indicating great binding compatibility between the (NADPH) oxidase receptor site and the ligand. In conclusion, our findings suggest that the oil could be used safely and as a cost-effective remedy in treating various modern diseases caused by free radical formation. Full article
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<p>GC-MS chromatogram for <span class="html-italic">Ruta chalepensis</span> essential oil compositions. Main components were detected at Rts 22.53, 29.43, and 32.33 and were assigned for 2-Nonanone, 2-Nonyl acetate, and 2-Undecanone, respectively.</p>
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<p>The 2D and 3D interactions of (<b>A</b>) “<span class="html-italic">α</span>-Selinene”, (<b>B</b>) “Bergapten”, (<b>C</b>) “<span class="html-italic">δ</span>-Cadinene”, (<b>D</b>) “(<span class="html-italic">E</span>)-<span class="html-italic">α</span>-bisabolene”, (<b>E</b>) “Psoralen”, (<b>F</b>) “Germacrene D”, and (<b>G</b>) <span class="html-italic">“β</span>-Eudesmol with the receptor NADPH oxidase.</p>
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<p>The 2D and 3D interactions of (<b>A</b>) “<span class="html-italic">α</span>-Selinene”, (<b>B</b>) “Bergapten”, (<b>C</b>) “<span class="html-italic">δ</span>-Cadinene”, (<b>D</b>) “(<span class="html-italic">E</span>)-<span class="html-italic">α</span>-bisabolene”, (<b>E</b>) “Psoralen”, (<b>F</b>) “Germacrene D”, and (<b>G</b>) <span class="html-italic">“β</span>-Eudesmol with the receptor NADPH oxidase.</p>
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<p>The 2D and 3D interactions of (<b>A</b>) “<span class="html-italic">α</span>-Selinene”, (<b>B</b>) “Bergapten”, (<b>C</b>) “<span class="html-italic">δ</span>-Cadinene”, (<b>D</b>) “(<span class="html-italic">E</span>)-<span class="html-italic">α</span>-bisabolene”, (<b>E</b>) “Psoralen”, (<b>F</b>) “Germacrene D”, and (<b>G</b>) <span class="html-italic">“β</span>-Eudesmol with the receptor NADPH oxidase.</p>
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<p>The 2D and 3D interactions of (<b>A</b>) “<span class="html-italic">α</span>-Selinene”, (<b>B</b>) “Bergapten”, (<b>C</b>) “<span class="html-italic">δ</span>-Cadinene”, (<b>D</b>) “(<span class="html-italic">E</span>)-<span class="html-italic">α</span>-bisabolene”, (<b>E</b>) “Psoralen”, (<b>F</b>) “Germacrene D”, and (<b>G</b>) <span class="html-italic">“β</span>-Eudesmol with the receptor NADPH oxidase.</p>
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13 pages, 1132 KiB  
Article
Identification of Key Volatile Organic Compounds Released by Gastric Tissues as Potential Non-Invasive Biomarkers for Gastric Cancer
by Paweł Mochalski, Marcis Leja, Daria Ślefarska-Wolak, Linda Mezmale, Veronika Patsko, Clemens Ager, Agnieszka Królicka, Chris A. Mayhew, Gidi Shani and Hossam Haick
Diagnostics 2023, 13(3), 335; https://doi.org/10.3390/diagnostics13030335 - 17 Jan 2023
Cited by 11 | Viewed by 2564
Abstract
Background: Volatilomics is a powerful tool capable of providing novel biomarkers for medical diagnosis and therapy monitoring. The objective of this study is to identify potential volatile biomarkers of gastric cancer. Methods: The volatilomic signatures of gastric tissues obtained from two distinct populations [...] Read more.
Background: Volatilomics is a powerful tool capable of providing novel biomarkers for medical diagnosis and therapy monitoring. The objective of this study is to identify potential volatile biomarkers of gastric cancer. Methods: The volatilomic signatures of gastric tissues obtained from two distinct populations were investigated using gas chromatography with mass spectrometric detection. Results: Amongst the volatiles emitted, nineteen showed differences in their headspace concentrations above the normal and cancer tissues in at least one population of patients. Headspace levels of seven compounds (hexanal, nonanal, cyclohexanone, 2-nonanone, pyrrole, pyridine, and phenol) were significantly higher above the cancer tissue, whereas eleven volatiles (ethyl acetate, acetoin, 2,3-butanedione, 3-methyl-1-butanol, 2-pentanone, γ-butyrolactone, DL-limonene, benzaldehyde, 2-methyl-1-propanol, benzonitrile, and 3-methyl-butanal) were higher above the non-cancerous tissue. One compound, isoprene, exhibited contradictory alterations in both cohorts. Five compounds, pyridine, ethyl acetate, acetoin, 2,3-butanedione, and 3-methyl-1-butanol, showed consistent cancer-related changes in both populations. Conclusions: Pyridine is found to be the most promising biomarker candidate for detecting gastric cancer. The difference in the volatilomic signatures can be explained by cancer-related changes in the activity of certain enzymes, or pathways. The results of this study confirm that the chemical fingerprint formed by volatiles in gastric tissue is altered by gastric cancer. Full article
(This article belongs to the Section Pathology and Molecular Diagnostics)
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<p>Relative distribution of VOCs with occurrence &gt; 20% according to the chemical classes in all cancerous tissue samples (<b>left</b> panel) and all normal tissue samples (<b>right</b> panel).</p>
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<p>Relative distribution of VOCs with occurrence &gt; 20% according to the chemical classes in cancer tissue of Latvian (<b>left</b> panel) and Ukrainian (<b>right</b> panel) cohorts of patients.</p>
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<p>VOCs exhibiting differences in emission between normal and cancer tissues in both cohorts of patients.</p>
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11 pages, 2015 KiB  
Article
The Third Extracellular Loop of Mammalian Odorant Receptors Is Involved in Ligand Binding
by Tammy Shim, Jody Pacalon, Won-Cheol Kim, Xiaojing Cong, Jérémie Topin, Jérôme Golebiowski and Cheil Moon
Int. J. Mol. Sci. 2022, 23(20), 12501; https://doi.org/10.3390/ijms232012501 - 18 Oct 2022
Cited by 4 | Viewed by 2360
Abstract
Mammals recognize chemicals in the air via G protein-coupled odorant receptors (ORs). In addition to their orthosteric binding site, other segments of these receptors modulate ligand recognition. Focusing on human hOR1A1, which is considered prototypical of class II ORs, we used a combination [...] Read more.
Mammals recognize chemicals in the air via G protein-coupled odorant receptors (ORs). In addition to their orthosteric binding site, other segments of these receptors modulate ligand recognition. Focusing on human hOR1A1, which is considered prototypical of class II ORs, we used a combination of molecular modeling, site-directed mutagenesis, and in vitro functional assays. We showed that the third extracellular loop of ORs (ECL3) contributes to ligand recognition and receptor activation. Indeed, site-directed mutations in ECL3 showed differential effects on the potency and efficacy of both carvones, citronellol, and 2-nonanone. Full article
(This article belongs to the Special Issue Molecular and Cellular Mechanisms Underlying Taste, Smell and Beyond)
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Graphical abstract
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<p>(<b>a</b>) Structure of hOR1A1 from homology modeling (Modeller) compared to that obtained from AlphaFold2 (AlphaFold). In both structures, the third extracellular loop (ECL3) (shown in red) was predicted to be close to the orthosteric binding cavity, shown as a cyan surface. (<b>b</b>) Conservation analysis of ECL3 sequences of both classes of human odorant receptors and the highlight of hOR1A1 specific ECL3 sequence.</p>
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<p>Entry of (−)-carvone inside receptor hOR1A1. The ligand is initially located outside the receptor (1). It then migrates to the cradle of the orthosteric binding cavity (2,3), as indicated by Y251<sup>6.48</sup>. During this process, the ligand interacts with several residues from ECL3 (indicated in red). Contour map of (−)-carvone migration as the minimum distance from S266 (taken as the distance from ECL3) and minimum distance from Y251<sup>6.48</sup> (taken as the distance from the cradle of the cavity). All replicas were considered. The three highlighted basins show the ligand’s largest density.</p>
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<p>Chemical structure of four agonists of hOR1A1.</p>
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<p>In vitro data of hOR1A1 and mutant ORs. (<b>a</b>) In vitro dose–response curves of four ligands (−)-carvone, (+)-carvone, citronellol, and 2-nonanone towards <span class="html-italic">wt</span> hOR1A1 and mutant ORs at positions P261, T263, S266, and D269. (*) indicates the response value is significantly different compared to <span class="html-italic">wt</span> hOR1A1 (one-way ANOVA, followed by a Dunnett test; * <span class="html-italic">p</span> &lt; 0.05). (RLU = relative luminescence unit) (<b>b</b>) The fluorescence intensity of the R-phycoerythrin (R-PE) signal of <span class="html-italic">wt</span> hOR1A1 and mutant ORs at positions P261, T263, S266, and D269. (<b>c</b>) Normalized graph of cell-surface expression of ECL3 mutant ORs against <span class="html-italic">wt</span> hOR1A1 (one-way ANOVA, followed by a Dunnett test; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001).</p>
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16 pages, 1210 KiB  
Article
Red Beetroot Fermentation with Different Microbial Consortia to Develop Foods with Improved Aromatic Features
by Flavia Casciano, Hannah Mayr, Lorenzo Nissen, Andreas Putti, Federica Zoli, Andrea Gianotti and Lorenza Conterno
Foods 2022, 11(19), 3055; https://doi.org/10.3390/foods11193055 - 1 Oct 2022
Cited by 18 | Viewed by 2862
Abstract
The European culinary culture relies on a wide range of fermented products of plant origin, produced mostly through spontaneous fermentation. Unfortunately, this kind of fermentations is difficult to standardize. Therefore, the use of commercial starter cultures is becoming common to achieve more stable, [...] Read more.
The European culinary culture relies on a wide range of fermented products of plant origin, produced mostly through spontaneous fermentation. Unfortunately, this kind of fermentations is difficult to standardize. Therefore, the use of commercial starter cultures is becoming common to achieve more stable, reproducible, and predictable results. Among plant-based fermentation processes, that of the red beet (Beta vulgaris L. var. conditiva) is scarcely described in the scientific literature. In this work, we compared different types of fermentation methods of beetroot and evaluated the processes’ micro-biological, physico-chemical, structural, and volatilome features. A multi-variate analysis was used to match the production of specific VOCs to each starter and to define the correlations between the process variables and volatilome. Overall, the results showed a successful lactic acid fermentation. The analysis of the volatilome clearly discriminated the metabolic profiles of the different fermentations. Among them, the sample fermented with the mixture was the one with the most complex and diversified volatilome. Furthermore, samples did not appear softened after fermentation. Although this work had its weaknesses, such as the limited number of samples and variety, it may pave the way for the standardization of artisanal fermentation procedures of red beetroot in order to improve the quality and safety of the derived food products. Full article
(This article belongs to the Section Food Quality and Safety)
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<p>PCAs of the volatilome sorted by chemical classes of significative (ANOVA <span class="html-italic">p</span> &lt; 0.05) VOCs. (<b>A</b>)—organic acids; (<b>B</b>)—alcohols; (<b>C</b>)—ketones; (<b>D</b>)—aldehydes. Left-side diagrams are for PCAs of cases, while right-side diagrams are for PCAs of variables. * ee—ethyl ester; _2 and _3 indicate the mean of technical replicas of experimental replicates. Mix—sample fermented after LAB mix starter addition; Spontaneous—sample fermented with spontaneous micro-organisms; <span class="html-italic">Leuconostoc</span>—sample fermented after <span class="html-italic">L. mesenteroides</span> starter addition; Kefir—sample fermented after water kefir starter addition.</p>
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<p>Spearman rank correlations among process parameters and VOCs. Dendrograms were determined with Pearson analysis with complete linkage. * Significance of correlations determined with Spearman rank analysis is reported in <a href="#app1-foods-11-03055" class="html-app">Figure S2</a> (<span class="html-italic">p</span> &lt; 0.05). A,B. top clusters; 1,2: side clusters. Acidific<sup>1</sup>—acidification; Appreciat<sup>2</sup>—appreciation; Purchaseab<sup>3</sup>—purchasability. NaCl indicates the salt content; LAB—lactic acid bacteria; GLU + FRU indicates absolute quantification of glucose and fructose; lactate indicates absolute quantification of lactic acid; °Brix indicates the sugar content. * Decanoic acid, ethyl ester; ** hexanoic acid ethyl ester; *** hexadecanoic acid ethyl ester.</p>
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18 pages, 2573 KiB  
Article
Identification of Bacillus velezensis SBB and Its Antifungal Effects against Verticillium dahliae
by Wei-Yu Wang, Wei-Liang Kong, Yang-Chun-Zi Liao and Li-Hua Zhu
J. Fungi 2022, 8(10), 1021; https://doi.org/10.3390/jof8101021 - 28 Sep 2022
Cited by 17 | Viewed by 3017
Abstract
Traditional control methods have drawbacks in controlling Verticillium wilt diseases caused by Verticillium dahliae Kleb.; therefore, an efficient and environmentally friendly strategy for disease control must be identified and the mechanisms determined. In this study, a soil-isolated strain SBB was identified as Bacillus [...] Read more.
Traditional control methods have drawbacks in controlling Verticillium wilt diseases caused by Verticillium dahliae Kleb.; therefore, an efficient and environmentally friendly strategy for disease control must be identified and the mechanisms determined. In this study, a soil-isolated strain SBB was identified as Bacillus velezensis based on 16S rRNA, gyrA, and gyrB gene sequences. In vitro, strain SBB had excellent inhibitory effects on V. dahliae, with the highest inhibition rate of 70.94%. Moreover, strain SBB inhibited production of the conidia of V. dahliae and suppressed the production of microsclerotia and melanin. Through gas chromatograph–mass spectrometer analysis, nine compounds were detected from the volatile organic compounds produced by SBB, among which 2-nonanol, 2-heptanone, 6-methyl-2-heptanone, and 2-nonanone could completely inhibit V. dahliae growth. Strain SBB produced cellulase, amylase, protease, and siderophore. During inhibitory action on V. dahliae, strain SBB showed upregulated expression of genes encoding non-volatile inhibitory metabolites, including difficidin, bacilysin, and bacillaene, at 1.923-, 1.848-, and 1.448-fold higher, respectively. Thus, our study proved that strain SBB had an efficient antagonistic effect on V. dahliae, suggesting strain SBB can be used as a potential biological control agent against Verticillium wilt. Full article
(This article belongs to the Special Issue Antifungal Discovery of Natural Products)
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<p>Phylogenetic tree of <span class="html-italic">Bacillus</span> sp. SBB based on (<b>a</b>) 16S rRNA, (<b>b</b>) <span class="html-italic">gyrA</span>, and (<b>c</b>) <span class="html-italic">gyrB</span> gene sequences. <span class="html-italic">Paenibacillus selenitireducens</span> ES3-24, <span class="html-italic">Escherichia coli</span> K-12, and <span class="html-italic">E. coli</span> strain 16 were selected as outgroups for the 16S rRNA, <span class="html-italic">gyrA</span>, and <span class="html-italic">gyrB</span> phylogenetic trees, respectively.</p>
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<p>Inhibition of <span class="html-italic">Verticillium dahliae</span> by (<b>a</b>) strain SBB and its VOCs, (<b>b</b>) aseptic fermentation filtrate of SBB at different periods, and (<b>c</b>) the antifungal rate of aseptic fermentation filtrate of SBB. CK: fungi that were not inoculated with bacteria served as a control. The data were analyzed by one-way ANOVA followed by Duncan’s post-hoc test. Different letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) among treatments.</p>
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<p>Effect of fermentation filtrate of strain SBB on sporulation quantity of <span class="html-italic">Verticillium dahliae</span>: (<b>a</b>) sporulation media with different treatments and (<b>b</b>) quantitative analysis of <span class="html-italic">V. dahliae</span> sporulation. The data were analyzed by one-way ANOVA followed by Duncan’s post-hoc test. Different letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) among treatments.</p>
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<p>Effect of strain SBB fermentation filtrate on the formation of microsclerotia and melanin of <span class="html-italic">Verticillium dahlia</span>: (<b>a</b>) production of microsclerotia in different treatment groups under the microscope; (<b>b</b>) quantitative analysis of the microsclerotia of <span class="html-italic">V. dahliae</span>, scale = 0.02 cm; and (<b>c</b>) quantitative analysis of the melanin content of <span class="html-italic">V. dahliae</span>. The data were analyzed by one-way ANOVA followed by Duncan’s post-hoc test. Different letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) among treatments.</p>
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<p>PCR detection of 15 biosynthetic genes (<span class="html-italic">ituA</span>, <span class="html-italic">fenB</span>, <span class="html-italic">srfAA</span>, <span class="html-italic">srfAD</span>, <span class="html-italic">ituD</span>, <span class="html-italic">bacA</span>, <span class="html-italic">bacAB</span>, <span class="html-italic">baeS</span>, <span class="html-italic">dhbA</span>, <span class="html-italic">mycB</span>, <span class="html-italic">bacD</span>, <span class="html-italic">ituC</span>, and <span class="html-italic">fenD</span>) of antifungal substances in <span class="html-italic">Bacillus velezensis</span> SBB.</p>
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<p>Detection of (<b>a</b>) amylase, (<b>b</b>) cellulase, (<b>c</b>) protease, and (<b>d</b>) siderophore activity of <span class="html-italic">Bacillus velezensis</span> SBB.</p>
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<p>Gas chromatograph-mass spectrometer analysis of volatile organic compounds in <span class="html-italic">Bacillus velezensis</span> SBB.</p>
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<p>(<b>a</b>) Inhibitory effect of standard substances with different volumes (0.06, 0.3, 0.6, and 1.3 µL/mL) on <span class="html-italic">Verticillium dahliae</span> and (<b>b</b>) inhibition rates of different standard substances against <span class="html-italic">V. dahliae</span>. The data were analyzed by one-way ANOVA followed by Duncan’s post-hoc test. Different letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) among treatments.</p>
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<p>Relative expression levels of <span class="html-italic">Bacillus velezensis</span> SBB antibiotic-related genes. Data are the means ± SE. Different letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) among treatments (<span class="html-italic">t</span>-test).</p>
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