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Search Results (13,622)

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16 pages, 11300 KiB  
Article
Improvement in Palm Kernel Meal Quality by Solid-Sate Fermentation with Bacillus velezensis, Saccharomyces cerevisiae and Lactobacillus paracasei
by Xiaoyan Zhu, Zechen Deng, Qiuyue Wang, Shanxin Hao, Pei Liu, Shuai He and Xiangqian Li
Fermentation 2024, 10(12), 655; https://doi.org/10.3390/fermentation10120655 (registering DOI) - 17 Dec 2024
Abstract
To improve the quality of palm kernel meal (PKM), the effect of solid-state fermentation (SSF) with Bacillus velezensis, Saccharomyces cerevisiae and Lactobacillus paracasei on nutritional components, anti-nutritional factor and antioxidant activity were investigated. The results show that inoculation ratio of three strains [...] Read more.
To improve the quality of palm kernel meal (PKM), the effect of solid-state fermentation (SSF) with Bacillus velezensis, Saccharomyces cerevisiae and Lactobacillus paracasei on nutritional components, anti-nutritional factor and antioxidant activity were investigated. The results show that inoculation ratio of three strains 4:2:1, inoculation amount 21%, moisture content 52%, fermentation temperature 34 °C and fermentation time 60 h were the optimal SSF conditions. After 60 h of fermentation, the content of neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), cellulose and hemicellulose in PKM were significantly decreased by 22.5%, 18.2%, 20.2%, 17.6% and 32.4%, respectively. Meanwhile, the content of crude protein, soluble protein, peptides, amino acids and reducing sugar were increased significantly by 27.3%, 193%, 134%, 16.3% and 228%, respectively. SSF significantly improved the total phenolic content, DPPH radical scavenging activity, hydroxyl radical scavenging activity and reducing power. In addition, in vitro dry matter digestibility (IVDMD) and in vitro crude protein digestibility (IVCPD) were increased. Scanning electron microscopy (SEM) analysis revealed microstructural alterations in PKM. The results indicate that SSF with B. velezensis, S. cerevisiae and L. paracasei is an effective and promising method to enhance the nutritional value and antioxidant activity of PKM, providing a feasible solution for increasing the utilization of PKM in animal feed. Full article
(This article belongs to the Section Industrial Fermentation)
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<p>Effect of moisture content (<b>a</b>), fermentation temperature (<b>b</b>), inoculum amount (<b>c</b>) and fermentation time (<b>d</b>) on reducing sugar content. Different superscript letters above the columns indicated significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Response surface plots for showing the mutual interactions between (<b>a</b>) inoculation amount and moisture content, (<b>b</b>) inoculum amount and fermentation temperature, (<b>c</b>) inoculum amount and fermentation time, (<b>d</b>) moisture content and fermentation temperature, (<b>e</b>) moisture content and fermentation time, (<b>f</b>) fermentation temperature and fermentation time.</p>
Full article ">Figure 2 Cont.
<p>Response surface plots for showing the mutual interactions between (<b>a</b>) inoculation amount and moisture content, (<b>b</b>) inoculum amount and fermentation temperature, (<b>c</b>) inoculum amount and fermentation time, (<b>d</b>) moisture content and fermentation temperature, (<b>e</b>) moisture content and fermentation time, (<b>f</b>) fermentation temperature and fermentation time.</p>
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<p>Heatmap representing the relationship effects between fermentation groups and amino acids composition. (UPKM: unfermented palm kernel meal; 36 h FPKM: fermented palm kernel meal at 36 h; 48 h FPKM: fermented palm kernel meal at 48 h; 60 h FPKM: fermented palm kernel meal at 60 h).</p>
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<p>(<b>a</b>) <span class="html-italic">B. velezensis</span>, <span class="html-italic">S. cerevisiae</span>, <span class="html-italic">L. paracasei</span> counts; (<b>b</b>) Total titratable acidity; (<b>c</b>) In vitro digestibility of UPKM and FPKM. (UPKM: unfermented palm kernel meal; 36 h FPKM: fermented palm kernel meal; at 36 h; 48 h FPKM: fermented palm kernel meal at 48 h; 60 h FPKM: fermented palm kernel meal at 60 h). Values not sharing common alphabets in same graph are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>(<b>a</b>) Total phenolic content; (<b>b</b>) DPPH radical scavenging activity; (<b>c</b>) hydroxyl radical scavenging activity; (<b>d</b>) Reducing power of UPKM and FPKM. (UPKM: unfermented palm kernel meal; 36 h FPKM: fermented palm kernel meal at 36 h; 48 h FPKM: fermented palm kernel meal at 48 h; 60 h FPKM: fermented palm kernel meal at 60 h). Values not sharing common alphabets in same graph are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Microstructures of PKM and FPKM at different fermentation times ((<b>a</b>–<b>d</b>) represent unfermented PKM and PKM fermented for 36 h, 48 h and 60 h, respectively).</p>
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32 pages, 2369 KiB  
Review
Insights into Biohydrogen Production Through Dark Fermentation of Food Waste: Substrate Properties, Inocula, and Pretreatment Strategies
by Djangbadjoa Gbiete, Satyanarayana Narra, Damgou Mani Kongnine, Mona-Maria Narra and Michael Nelles
Energies 2024, 17(24), 6350; https://doi.org/10.3390/en17246350 (registering DOI) - 17 Dec 2024
Abstract
The growing population and economic expansion have led to increased energy demand while presenting complex waste generation and management challenges, particularly in light of climate change. Green hydrogen, which is considered a major clean energy carrier, can also be generated from food waste [...] Read more.
The growing population and economic expansion have led to increased energy demand while presenting complex waste generation and management challenges, particularly in light of climate change. Green hydrogen, which is considered a major clean energy carrier, can also be generated from food waste through a process known as dark fermentation. The production of dark fermentative hydrogen from food waste and biomass residues, in general, is influenced by the type of feedstock, source of inoculum, and their pretreatment and handling strategies. Food waste is a suitable substrate for dark fermentation and has a variable and complex composition, which is a major factor limiting the hydrogen yield. This review critically assesses food waste sources, focusing on their physical and chemical composition, pretreatment methods, and strategies for optimizing dark fermentative hydrogen production. This paper also highlights and critically discusses various inoculum sources and innovations regarding the pretreatment and enrichment applications of inocula for dark fermentative hydrogen production. Based on the literature analysis, advanced research is required to develop more sustainable and specific pretreatment strategies that consider the properties of food waste and the source of the inoculum. This approach will aid in preventing inhibition and inefficiency during the dark fermentation process. Full article
(This article belongs to the Special Issue Advanced Bioenergy, Biomass and Waste Conversion Technologies)
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<p>The different pathways for hydrogen production from biowaste substrates (adapted and modified from [<a href="#B45-energies-17-06350" class="html-bibr">45</a>]).</p>
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<p>The different stages of dark fermentation of biowaste and the microbiological pathways that lead to hydrogen and organic acids production (adapted and modified from [<a href="#B53-energies-17-06350" class="html-bibr">53</a>]).</p>
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<p>Native H<sub>2</sub> production inhibiting components in FW (Design from PresentationGo, <a href="https://www.presentationgo.com/" target="_blank">https://www.presentationgo.com/</a>).</p>
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<p>Fungal pretreatment process (adapted from Vasco-Correa et al. [<a href="#B121-energies-17-06350" class="html-bibr">121</a>]).</p>
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<p>The common sources of inoculum for dark fermentation of biowaste and their pre-treatment strategies.</p>
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14 pages, 4451 KiB  
Article
Dissecting Interactions of Saccharomyces cerevisiae and Pichia kudriavzevii to Shape Kiwifruit Wine Flavor
by Yi-Wen Wang, Yi-Fen Huang, Ya-Qi Guo, Li Sun, Zhi-Lin Jiang, Yuan-Ting Zhu, Rui-Qi Zeng, Qi Li, Chen Xiao and Yong Zuo
Foods 2024, 13(24), 4077; https://doi.org/10.3390/foods13244077 (registering DOI) - 17 Dec 2024
Abstract
Mixed fermentation with Saccharomyces cerevisiae and Pichia kudriavzevii has been shown to enhance wine aroma, yet the underlying mechanisms remain unclear. Monoculture of S. cerevisiae, monoculture of P. kudriavzevii, and mixed culture of S. cerevisiae and P. kudriavzevii were conducted, and [...] Read more.
Mixed fermentation with Saccharomyces cerevisiae and Pichia kudriavzevii has been shown to enhance wine aroma, yet the underlying mechanisms remain unclear. Monoculture of S. cerevisiae, monoculture of P. kudriavzevii, and mixed culture of S. cerevisiae and P. kudriavzevii were conducted, and the study analyzed and compared the biomass, flavor profile, and transcriptome responses of the three groups. Both yeast species exhibited growth inhibition in mixed culture, especially P. kudriavzevii. Significant differences were observed in three organic acids and the foremost 20 volatile compounds. Mixed fermentation enhanced esters (e.g., ethyl butyrate, isoamyl acetate) and volatile acids (e.g., hexanoic acid), but decreased isobutanol, phenylethyl alcohol, and quinic acid. Transcriptomic analysis revealed 294 and 332 differentially expressed genes (DEGs) in S. cerevisiae and P. kudriavzevii, respectively. The Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation results indicated that DEGs in mixed fermentation were concentrated in carbohydrate metabolism and amino acid metabolism. Our integrated analysis suggested that genes such as TDH2, TDH3, and ENO2 were pivotal for ester biosynthesis. Moreover, ADH1, ADH2, HPA3, ALD6, and ARO8 were associated with quinic acid synthesis. Furthermore, ILV2, ILV5, ALD6, and others were central to the production of isobutanol and phenylethyl alcohol. Full article
(This article belongs to the Section Food Microbiology)
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<p>Growth dynamics of yeasts during fermentation process. Note: <span class="html-italic">S. cerevisiae</span> in monoculture fermentation (S), <span class="html-italic">P. kudriavzevii</span> in monoculture fermentation (P), <span class="html-italic">S. cerevisiae</span> in mixed culture fermentation (MIX-S), and <span class="html-italic">P. kudriavzevii</span> in mixed culture fermentation (MIX-P).</p>
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<p>Dynamics of alcohol content and reducing sugars during fermentation process. Note: In the graph, the solid line represents the change in content of reducing sugar concentration, and the dashed line represents the change in content of ethanol.</p>
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<p>Volcano map of differential genes expression. (<b>A</b>) group MIX-S vs. group S, (<b>B</b>) group MIX-P vs. group P.</p>
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<p>KEGG analysis of differential genes. (<b>A</b>) group MIX-S vs. group S, (<b>B</b>) group MIX-P vs. group P.</p>
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<p>Differential metabolic profiles among various fermentation groups. (<b>A</b>) organic acids, (<b>B</b>) volatile compounds.</p>
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<p>Metabolic pathways of alcohol, ester, non-volatile acid, and volatile acid production by yeast during fermentation. Note: The colors of the regions represent different flavor formation or substrate utilization pathways. Italicized genes encode enzymes involved in the metabolic pathways; red indicates upregulation; blue indicates downregulation; and orange indicates characteristic flavor compounds. ① 3-deoxy-d-arabinoheptulosonate-7-phosphate synthase; ② 3-dehydroquinic acid synthase; ③ 3-dehydroquinic acid dehydratase; ④ shikimate dehydrogenase; ⑤ shikimate kinase; ⑥ 5-enolpyruvyl shikimate-3-phosphate synthase; ⑦ dehydroquinate dehydrogenase.</p>
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18 pages, 3112 KiB  
Article
Effect of Different Probiotic Fermentations on the Quality of Plant-Based Hempseed Fermented Milk
by Yingjun Zhou, Yifan Xu, Shuai Song, Sha Zhan, Xiaochun Li, Haixuan Wang, Zuohua Zhu, Li Yan, Yuande Peng and Chunliang Xie
Foods 2024, 13(24), 4076; https://doi.org/10.3390/foods13244076 (registering DOI) - 17 Dec 2024
Viewed by 22
Abstract
This study investigated the effects of three different single-strain probiotics Lactiplantibacillus plantarum XD117, Lacticaseibacillus paracasei LC-37, and Lacticaseibacillus rhamnosus LGG, on the quality of hempseed fermented milk. The main findings were that adding probiotics increased the inhibition rate of α-glucosidase and pancreatic lipase [...] Read more.
This study investigated the effects of three different single-strain probiotics Lactiplantibacillus plantarum XD117, Lacticaseibacillus paracasei LC-37, and Lacticaseibacillus rhamnosus LGG, on the quality of hempseed fermented milk. The main findings were that adding probiotics increased the inhibition rate of α-glucosidase and pancreatic lipase in hempseed fermented milk significantly. Non-targeted metabolomic correlation analysis results confirmed that 14 substances, including three flavonoids, six amino acids and their derivatives, and five short peptides, were positively correlated with the hypoglycemic and hypolipidemic activities of hempseed fermented milk. Furthermore, a total of 59 volatile flavor compounds were identified, including aldehydes, alcohols, ketones, acids, and esters, and the role mapping of different probiotic communities was provided. These results can guide the development of hempseed fermented milk with unique flavor, rich probiotic content, and significant functional characteristics. Full article
(This article belongs to the Section Food Biotechnology)
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<p>Effect of different probiotics on viable bacteria count, TA, α-glucosidase inhibitory, and pancreatic lipase inhibitory capacity of hempseed milk before and after fermentation. (<b>A</b>) Effect on the TA of hempseed fermented milk. (<b>B</b>) Effect on the viable count in hempseed fermented milk. (<b>C</b>) Effect on fermented milk α-glucosidase inhibitory capacity. (<b>D</b>) Effect on pancreatic lipase inhibitory of fermented milk. Different letters above group columns indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Fingerprints of volatile components in hempseed milk fermented with different probiotics. Dark and light colors represent the change in the relative concentration of the substance from high to low; -M and -D represent the monomeric and dimeric forms of the same substance, respectively. These differential compounds on the fingerprint are mainly concentrated in these 5 regions (<b>A</b>–<b>E</b>).</p>
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<p>Cluster heat map (<b>A</b>) and difference map (<b>B</b>) of relative content of volatile flavor compounds in different hempseed fermented milk. Note: in the clustered heatmap, blue stands for relatively low levels and red for relatively high levels, with darker colors representing larger differences.</p>
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<p>PCA analysis graph of volatile compounds in four hempseed fermented milk samples.</p>
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<p>Multivariate statistical analysis of HMD, HMP, HMR, and HMC. (<b>A</b>) PCA score figure; (<b>B</b>) OPLS-DA score plot; (<b>C</b>) Cross-validation plot of OPLS-DA model; (<b>D</b>) S-plot of OPLS-DA showing the different metabolites between HMD and HMP; (<b>E</b>) S-plot of OPLS-DA showing the different metabolites between HMD and HMR; (<b>F</b>) S-plot of OPLS-DA showing the different metabolites between HMD and HMC.</p>
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<p>(<b>A</b>) Classification of 247 identified differential metabolites. (<b>B</b>) Hierarchical cluster of differential metabolites for HMD, HMP, HMR, and HMC.</p>
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<p>Overview of metabolic pathways significantly affected by fermentation with different probiotics in hempseed milk.</p>
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13 pages, 1337 KiB  
Article
Probiotic Potential of Yeasts Isolated from Fermented Beverages: Assessment of Antagonistic Strategies Against Salmonella enterica Serovar Enteritidis
by Silvia Cristina Vergara Alvarez, María Dolores Pendón, Ana Agustina Bengoa, María José Leiva Alaniz, Yolanda Paola Maturano and Graciela Liliana Garrote
J. Fungi 2024, 10(12), 878; https://doi.org/10.3390/jof10120878 (registering DOI) - 17 Dec 2024
Viewed by 66
Abstract
Global concern about pathogenic resistance to antibiotics is prompting interest in probiotics as a strategy to prevent or inhibit infections. Fermented beverages are promising sources of probiotic yeasts. This study aimed to evaluate the antagonistic effects of Kluyveromyces marxianus, Wickerhamomyces anomalus, [...] Read more.
Global concern about pathogenic resistance to antibiotics is prompting interest in probiotics as a strategy to prevent or inhibit infections. Fermented beverages are promising sources of probiotic yeasts. This study aimed to evaluate the antagonistic effects of Kluyveromyces marxianus, Wickerhamomyces anomalus, and Pichia manshurica strains from kefir and wine against Salmonella enterica serovar Enteritidis in intestinal epithelial cells. The ability of these yeasts to adhere to Caco-2/TC-7 cells was evaluated, as well as their influence on the ability of Salmonella to associate and invade these cells. The behavior of the pathogen was analyzed by (a) incubation of enterocytes with yeast before adding Salmonella, (b) co-incubation of Salmonella with yeast before contact with the enterocytes, and (c) incubation of Salmonella with yeast metabolites before contact with enterocytes. All yeast strains demonstrated adherence to Caco-2/TC-7 cells (33–100%) and effectively inhibited Salmonella invasion. Among the treatments, co-culture showed the greatest effect, reducing Salmonella association and invasion by more than 50%. Additionally, these yeasts modulated the epithelial immune response, significantly decreasing CCL20-driven luminescence by 60–81% (p < 0.0001). These results highlight the potential of yeasts from fermented beverages as probiotics to counteract Salmonella infections, offering a promising alternative in the fight against antibiotic resistance. Full article
(This article belongs to the Special Issue Yeasts with Probiotic and Postbiotic Potential)
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<p>Effect of yeasts strains on the association of <span class="html-italic">S. Enteritidis</span> to Caco-2/TC-7. Percentage of association of <span class="html-italic">S. Enteritidis</span> to Caco-2/TC-7 cells treated with yeasts before pathogen addition (YE), <span class="html-italic">S. Enteritidis</span> pre-cultured with yeasts (CC), and <span class="html-italic">S. Enteritidis</span> pretreated with yeasts cell-free culture supernatants (CFS). ** statistically significant differences (<span class="html-italic">p</span> ≤ 0.05) compared to the control representing 100% association.</p>
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<p>Effect of yeast strains on the invasion of <span class="html-italic">S. Enteritidis</span> to Caco-2/TC-7. Percentage of invasion of <span class="html-italic">S. Enteritidis</span> to Caco-2/TC-7 cells treated with yeasts before pathogen addition (YE), <span class="html-italic">S. Enteritidis</span> pre-cultured with yeasts (CC), and <span class="html-italic">S. Enteritidis</span> pretreatment with yeast cell-free culture supernatants (CFS). ** statistically significant differences (<span class="html-italic">p</span> ≤ 0.05) compared to the control representing 100% invasion.</p>
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<p>Effect of yeasts strains on the immunomodulation of Caco-2-CCL20: luc cells. Reporter cells were stimulated with flagellin (1 µg/mL) after pretreatment with yeasts. Luciferase activity was determined in a cell lysate 5 h after stimulation. Results representative from two different experiments are shown. Results are expressed as normalized luciferase activity (NAL), using the levels of stimulated cells in the absence of yeast cells as 100% of activation. **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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16 pages, 833 KiB  
Article
Hybrid Process Flow Diagram for Separation of Fusel Oil into Valuable Components
by Alexey Missyurin, Diana-Luciana Cursaru, Mihaela Neagu and Marilena Nicolae
Processes 2024, 12(12), 2888; https://doi.org/10.3390/pr12122888 (registering DOI) - 17 Dec 2024
Viewed by 50
Abstract
Ethanol production by fermentation results in obtaining, in addition to the main product, ethyl alcohol, by-products and secondary products, which include carbon dioxide, fusel oil, and ester–aldehyde cut. Fusel oil, despite its low yield and the large volume of ethanol production, accumulates at [...] Read more.
Ethanol production by fermentation results in obtaining, in addition to the main product, ethyl alcohol, by-products and secondary products, which include carbon dioxide, fusel oil, and ester–aldehyde cut. Fusel oil, despite its low yield and the large volume of ethanol production, accumulates at distilleries, which ultimately raises the question of its disposal or the rational use of this by-product. Fusel oil, being a complex mixture, can serve as a source of technical alcohols used in various sectors of the economy, including the food industry, pharmaceuticals, organic synthesis, perfume, and cosmetics industries, as well as the production of paints and varnishes. However, the complexity of using fusel oil lies in its difficult separation. The reason for this is the presence of water, which forms low-boiling azeotropes with aliphatic alcohols. Our study aimed to develop a process flow diagram (PFD) that allows individual components from fusel oil to be obtained without extraneous separating agents (not inherent in fusel oil). This condition is necessary to obtain products labeled as natural for further use in the food, perfume, cosmetic, and pharmaceutical industries. The distinctive feature of this work is that the target product is not only isoamyl alcohol but also all other alcohols present in the composition of fusel oil. To achieve this goal and create a mathematical model, the Aspen Plus V14 application, the Non-Random Two Liquid (NRTL) thermodynamic model, and the Vap-Liq/Liq-Liq phase equilibrium were used. Fusel oil separation was modeled using a continuous separation PFD to obtain ethanol, water, isoamyl alcohol, and raw propanol and butanol cuts. The Sorel and Barbet distillation technique was used to isolate ethanol. The isolation of isopropanol and 1-propanol, as well as isobutanol and 1-butanol, was modeled using the batch distillation method. The isolation of fusel oil components was based on their thermodynamic properties and the selection of appropriate techniques for their separation, such as extraction, distillation, pressure swing distillation, and decantation. The simulation of fusel oil separation PFD showed the possibility of obtaining the components of a complex mixture without separating agents, as discussed earlier. Ethanol corresponds to the quality of rectified ethyl alcohol, and 1-butanol and isoamyl alcohols to anhydrous alcohols, whereas isopropanol (which contains an admixture of ethanol), 1-propanol, and isobutanol are obtained as aqueous solutions of different concentrations of alcohols. However, due to a distillation boundary in the raw propanol and butanol cuts, these mixtures cannot be separated completely, which leads to the production of intermediate fractions. To eliminate intermediate fractions and obtain anhydrous isopropanol, 1-propanol, and isobutanol in the future, it is necessary to solve the dehydration problem of either fusel oil or the propanol–butanol mixture. Full article
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<p>Experimental fusel oil distillation curve according to ASTM D 86 [<a href="#B29-processes-12-02888" class="html-bibr">29</a>].</p>
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<p>Fusel oil separation—proposed PFD.</p>
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<p>Distillation synthesis ternary map (mass-based). (<b>a</b>) Raw propanol cut; (<b>b</b>) raw butanol cut.</p>
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14 pages, 1851 KiB  
Article
Effects of Fresh Corn Stover to Corn Flour Ratio on Fermentation Quality and Bacterial Community of Mixed Silage
by Jintong Li, Ke Wu, Jiaxuan Wu, Chuang Yang, Baoli Sun, Ming Deng, Dewu Liu, Yaokun Li, Guangbin Liu and Yongqing Guo
Fermentation 2024, 10(12), 654; https://doi.org/10.3390/fermentation10120654 (registering DOI) - 17 Dec 2024
Viewed by 86
Abstract
Due to the high price of whole-plant corn silage in southern China, many dairy farms are attempting to prepare whole-plant corn silage using corn stover and corn flour, but the mixing ratio has not yet been determined. Therefore, we mixed fresh corn stover [...] Read more.
Due to the high price of whole-plant corn silage in southern China, many dairy farms are attempting to prepare whole-plant corn silage using corn stover and corn flour, but the mixing ratio has not yet been determined. Therefore, we mixed fresh corn stover and corn flour at the proportions of 100:0 (F0 group) to 80:20 (F20 group), using five groups with three replicates each. The optimal mixing ratio was determined by assessing the nutritional composition, fermentation quality, and bacterial community of silage after 45 days. The results showed that dry matter and water-soluble carbohydrates in silage increased linearly with the increasing ratio of corn flour (p < 0.01) while crude protein, true protein, neutral detergent fiber, acidic detergent fiber, and crude ash content decreased linearly (p < 0.01). The F0 group had the highest pH, and the mixing ratio quadratically affected ammonia nitrogen concentration (p < 0.05). Additionally, at the phylum level, the relative abundances of Proteobacteria and Cyanobacteria in the F15 group were significantly higher than in other groups (p < 0.05). At the genus level, Lactobacillus increased with corn flour inclusion compared to the F0 group. In conclusion, the silage quality is the best when the mixing ratio of fresh corn stover and corn flour is 85:15. Full article
(This article belongs to the Section Industrial Fermentation)
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<p>Principal coordinate analysis (PCoA) of bacterial communities for fresh corn stover and corn flour silage.</p>
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<p>Accumulation map of bacterial communities at the phylum (<b>A</b>) and genus (<b>B</b>) levels for mixed silage silage.</p>
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<p>Accumulation map of bacterial communities at the phylum (<b>A</b>) and genus (<b>B</b>) levels for mixed silage silage.</p>
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<p>LEfSe analysis of bacterial biomarkers with different mixing ratios. (<b>A</b>) LDA score assessments of the size of differentiation among five groups with a threshold of two. (<b>B</b>) Cladogram of LEfSe analysis of bacterial abundance.</p>
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<p>LEfSe analysis of bacterial biomarkers with different mixing ratios. (<b>A</b>) LDA score assessments of the size of differentiation among five groups with a threshold of two. (<b>B</b>) Cladogram of LEfSe analysis of bacterial abundance.</p>
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<p>Correlation analysis between quality of silage and the top ten bacterial genera. (Positive correlation is shown in red, and negative correlation is shown in blue; “*” denotes <span class="html-italic">p</span> &lt; 0.05, and “**” denotes <span class="html-italic">p</span> &lt; 0.01; and the color depth is proportional to the correlation value). Abbreviations: pH (Pondus Hydrogenii), NH<sub>3</sub>-N (Ammonia nitrogen), LA (Lactic acid), AA (Acetic acid), DM (Dry matter), CP (Crude protein), TP (True protein), WSC (Water-soluble carbohydrate), NDF (Neutral detergent fiber), ADF (Acid detergent fiber), and Ash (Crude ash).</p>
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15 pages, 1239 KiB  
Article
A Novel Ginsenoside-Transforming α-L-Rhamnosidase from Bifidobacterium: Screening, Characterization and Application
by Chang-Hao Cui, Doohang Shin, Byung-Serk Hurh and Wan-Taek Im
Biomolecules 2024, 14(12), 1611; https://doi.org/10.3390/biom14121611 - 16 Dec 2024
Viewed by 296
Abstract
Despite the rapid advancement of glycosidase biotechnology, ginsenoside-transforming rhamnosidases remain underexplored due to a lack of research. In this study, we aimed to bridge this gap by evaluating eight putative rhamnosidases for their ability to transform ginsenosides. Among them, a novel rhamnosidase (C118) [...] Read more.
Despite the rapid advancement of glycosidase biotechnology, ginsenoside-transforming rhamnosidases remain underexplored due to a lack of research. In this study, we aimed to bridge this gap by evaluating eight putative rhamnosidases for their ability to transform ginsenosides. Among them, a novel rhamnosidase (C118) from Bifidobacterium was identified as being efficient at hydrolyzing ginsenoside Re. This enzyme was expressed well in Escherichia coli and exhibited optimal activity at pH of 6.0 and 45 °C. Protein structural predictions revealed that the potential active hydrophobic area near an active pocket may influence the ginsenoside-transforming activities compared to non-active screened rhamnosidases. This enzyme’s thermal stability exceeded that of the only previously known ginsenoside-transforming rhamnosidase, BD890. Additionally, the kcat/Km value of C118 was 1.45 times higher than that of BD890. Using recombinant C118 from E. coli, all ginsenoside Re in a PPT-type ginsenoside mixture (2.25 mg/mL) was converted after 12 h of reaction. To the best of our knowledge, this is the most efficient ginsenoside Re-transforming α-L-rhamnosidase reported to date, enhancing our understanding of rhamnosidase–substrate interactions and potentially improving the efficiency and specificity of the conversion process. These findings offer promising implications for the production of pharmacologically active ginsenosides in the pharmaceutical, cosmetic, and functional food industries. Full article
(This article belongs to the Topic Natural Products and Drug Discovery)
19 pages, 667 KiB  
Article
Quality Assessment of Organic Kefirs Made with Kefir Grains and Freeze-Dried Starter Cultures
by Katarzyna Szkolnicka, Izabela Dmytrów, Anna Mituniewicz-Małek and Elżbieta Bogusławska-Wąs
Appl. Sci. 2024, 14(24), 11746; https://doi.org/10.3390/app142411746 (registering DOI) - 16 Dec 2024
Viewed by 311
Abstract
Organic dairy products, including fermented milk, are gaining popularity among consumers. Traditionally, for kefir production, kefir grains are used; however, in the modern industry, freeze-dried cultures are commonly employed. This study aimed to analyze the quality of kefirs produced from organic cow milk [...] Read more.
Organic dairy products, including fermented milk, are gaining popularity among consumers. Traditionally, for kefir production, kefir grains are used; however, in the modern industry, freeze-dried cultures are commonly employed. This study aimed to analyze the quality of kefirs produced from organic cow milk with two fermentation times (12 and 24 h) with the use of kefir grains or freeze-dried culture. During a 3-week storage period, physicochemical properties, color, syneresis index, texture, sensory, and microbiological quality were evaluated. The results proved that organic cow milk was suitable for kefir production both with the use of kefir grains and freeze-dried culture. Using freeze-dried culture and a 24 h fermentation period resulted in kefir with the lowest syneresis tendency (3.65–9.62%), along with the best textural properties (the highest cohesiveness and viscosity index), and desired sensory characteristics. Kefir grains had a better acidification ability, and the resulting products had a higher count of yeasts, lactobacilli, and lactococci compared with kefirs obtained with freeze-dried culture. However, both the type of starter culture and the fermentation time influenced the product’s quality. The longer fermentation time of 24 h was more appropriate for the kefir production. Kefir grains, as a traditional form of kefir culture, may be preferred in organic kefir production. Full article
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<p>Scheme of experimental kefir production.</p>
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30 pages, 3587 KiB  
Article
Healthier Traditional Green Natural Aloreña de Málaga Table Olives Through Mineral Chlorides Fortification During Packaging
by Antonio López-López, José María Moreno-Baquero and Antonio Garrido-Fernández
Foods 2024, 13(24), 4061; https://doi.org/10.3390/foods13244061 - 16 Dec 2024
Viewed by 303
Abstract
Table olive processing implies losses of mineral nutrients and increased sodium levels due to using brine during fermentation and storage. This study investigated fortifying traditional Aloreña de Málaga table olives with mixtures of KCl, CaCl2, and MgCl2 during packaging to [...] Read more.
Table olive processing implies losses of mineral nutrients and increased sodium levels due to using brine during fermentation and storage. This study investigated fortifying traditional Aloreña de Málaga table olives with mixtures of KCl, CaCl2, and MgCl2 during packaging to enhance mineral content while reducing NaCl. This research analyses the distribution of cations between olives and brines and employed the Response Surface Methodology (RSM) to model mineral content and their contributions to the Reference Daily Intake (RDI). These models also facilitated the identification of optimal salt combinations for specific goals. Potassium, calcium, and magnesium contents in the olives increased from 657 mg/kg pulp (traditional) to 2578–6349 mg/kg pulp (experimental), from 858 mg/kg pulp to 858–5801 mg/kg, and from 41 mg/kg pulp to 41–2010 mg/kg pulp, respectively. Meanwhile, sodium decreased markedly, from 11,915 mg/kg pulp to about 6665 mg/kg. These changes represent a substantial improvement in the nutritional profile of these olives. Additionally, Principal Component Analysis (PCA) and clustering techniques were used to group treatments based on their mineral nutrient profiles, facilitating the selection of formulations for industrial application. These findings promote the development of nutritionally enriched natural table olives, processed without lye treatment and washing. Full article
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<p>Fortification of cracked green traditional <span class="html-italic">Aloreña de Málaga</span> table olives with KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> mixtures during packaging. Evolution in the pseudo distribution coefficient (<span class="html-italic">K<sub>d</sub></span>) in response to KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> concentrations in the packaging brine. (<b>A</b>) <span class="html-italic">K<sub>dK</sub></span>; (<b>B</b>) <span class="html-italic">K<sub>dCa</sub></span>; and (<b>C</b>) <span class="html-italic">K<sub>dMg</sub></span>.</p>
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<p>Fortification of cracked green traditional <span class="html-italic">Aloreña de Málaga</span> table olives with KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> mixtures during packaging. Graph of the moisture model based on varying concentrations of KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> in the packaging brine.</p>
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<p>Fortification of cracked green traditional <span class="html-italic">Aloreña de Málaga</span> table olives with KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> mixtures during packaging. Relationship between the concentrations of KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> in the packaging brines and the resulting potassium concentrations in the pulp, illustrated as follows: (<b>A</b>) expected concentrations in pulp; (<b>B</b>) expected contributions (%) to the RDI.</p>
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<p>Fortification of cracked green traditional <span class="html-italic">Aloreña de Málaga</span> table olives with KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> mixtures during packaging. Relationship between the KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> concentrations in the packaging brines and the resulting calcium concentrations in the pulp, illustrated as follows: (<b>A</b>) expected concentrations in pulp; (<b>B</b>) expected contributions (%) to the RDI.</p>
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<p>Fortification of cracked green traditional <span class="html-italic">Aloreña de Málaga</span> table olives with KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> mixtures during packaging. Relationship between the KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> concentrations in the packaging brines and the resulting magnesium concentrations in the pulp, illustrated as follows: (<b>A</b>) expected concentrations in pulp; (<b>B</b>) expected contributions (%) to the RDI.</p>
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<p>Fortification of cracked green traditional <span class="html-italic">Aloreña de Málaga</span> table olives with KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> mixtures during packaging. Grouping the experimental treatments based on their nutrient mineral profiles is shown as follows: (<b>A</b>) grouping based on PCA; (<b>B</b>) biclustering showing the characteristics of grouped treatments and relationships among mineral contents.</p>
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<p>Fortification of cracked green traditional <span class="html-italic">Aloreña de Málaga</span> table olives with KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> mixtures during packaging. Graphical optimisation based on the models developed for estimating the mineral concentration in the pulp, based on desirability. Constraints: KCl, CaCl<sub>2</sub>, and MgCl<sub>2</sub> levels within the range; moisture maximum; simultaneous maximum concentrations of K, Ca, and Mg in the pulp.</p>
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16 pages, 3550 KiB  
Article
Investigation of Microbial Fermentation Degree of Pu-Erh Tea Using Deep Learning Coupled Colorimetric Sensor Array via Prediction of Total Polyphenols
by Min Liu, Cui Jiang, Md Mehedi Hassan, Xinru Zhang, Runxian Wang, Renyong Cao, Wei Sheng and Huanhuan Li
Chemosensors 2024, 12(12), 265; https://doi.org/10.3390/chemosensors12120265 - 16 Dec 2024
Viewed by 222
Abstract
The degree of tea fermentation is crucial as it ultimately indicates the quality of the tea. Hence, this study developed a total polyphenol prediction system for Pu-erh tea liquid using eight porphyrin dyes and one pH dye in a printed colorimetric sensor array [...] Read more.
The degree of tea fermentation is crucial as it ultimately indicates the quality of the tea. Hence, this study developed a total polyphenol prediction system for Pu-erh tea liquid using eight porphyrin dyes and one pH dye in a printed colorimetric sensor array (CSA) coupled with a convolutional neural network (CNN) during microbial fermentation. Firstly, the Box–Behnken sampling method was applied to optimize the degree of microbial fermentation of Pu-erh tea liquid using the response surface methodology. Under optimized conditions, the polyphenol degradation rate reached up to 66.146%. CSA images were then collected from the volatile compounds of Pu-erh tea-reacted CSA sensors. Subsequently, six chemometric approaches were comparatively investigated, and CNN achieved the best results for predicting total polyphenol content. Therefore, the results suggest that the proposed approach can be used to predict the degree of fermentation by measuring total polyphenols in microbial-fermented Pu-erh tea liquid. Full article
(This article belongs to the Special Issue Functional Nanomaterial-Based Sensors for Food Analysis)
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<p>Schematic overview of prediction of optimum microbial fermentation of Pu −erh tea liquid via polyphenol detection using CSA and chemometrics.</p>
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<p>Flow chart illustrating the overall experimental procedure.</p>
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<p>Variation in total polyphenol content throughout the fermentation process.</p>
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<p>CSA images before and after the interaction of the volatile compound of Pu-erh tea liquid and their difference.</p>
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<p>Scatter plot of predicted concentration (mg/mL) vs. measured concentration (mg/mL) in calibration and prediction set for PLS (<b>A</b>), RF-PLS (<b>C</b>), IRIV-PLS (<b>D</b>), GA-PLS (<b>F</b>), and CARS-PLS (<b>H</b>). Spectral variables selected using RF (<b>B</b>), GA (<b>E</b>), and CARS (<b>G</b>).</p>
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<p>Basic setting of CNN architecture in this study (<b>A</b>). Optimized CNN model corresponds to the ideal batch_size and number of epochs for polyphenol prediction (<b>B</b>). Scatter plot of predicted vs. measured concentration (mg/mL) for CNN (<b>C</b>) in both calibration and prediction sets (<b>C</b>).</p>
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14 pages, 2562 KiB  
Article
Oleanolic Acid Modulates DNA Damage Response to Camptothecin Increasing Cancer Cell Death
by Giulio Mazzarotti, Maria Cuomo, Maria Carmen Ragosta, Andrea Russo, Margherita D’Angelo, Annamaria Medugno, Giuseppe Maria Napolitano, Carmelina Antonella Iannuzzi, Iris Maria Forte, Rosa Camerlingo, Sharon Burk, Francesco Errichiello, Luigi Frusciante, Martino Forino, Maria Rosaria Campitiello, Michelino De Laurentiis, Antonio Giordano and Luigi Alfano
Int. J. Mol. Sci. 2024, 25(24), 13475; https://doi.org/10.3390/ijms252413475 - 16 Dec 2024
Viewed by 362
Abstract
Targeting DNA damage response (DDR) pathways represents one of the principal approaches in cancer therapy. However, defects in DDR mechanisms, exhibited by various tumors, can also promote tumor progression and resistance to therapy, negatively impacting patient survival. Therefore, identifying new molecules from natural [...] Read more.
Targeting DNA damage response (DDR) pathways represents one of the principal approaches in cancer therapy. However, defects in DDR mechanisms, exhibited by various tumors, can also promote tumor progression and resistance to therapy, negatively impacting patient survival. Therefore, identifying new molecules from natural extracts could provide a powerful source of novel compounds for cancer treatment strategies. In this context, we investigated the role of oleanolic acid (OA), identified in fermented Aglianico red grape pomace, in modulating the DDR in response to camptothecin (CPT), an inhibitor of topoisomerase I. Specifically, we found that OA can influence the choice of DNA repair pathway upon CPT treatment, shifting the repair process from homologous recombination gene conversion to single-strand annealing. Moreover, our data demonstrate that combining sub-lethal concentrations of OA with CPT enhances the efficacy of topoisomerase I inhibition compared to CPT alone. Overall, these findings highlight a new role for OA in the DDR, leading to a more mutagenic DNA repair pathway and increased sensitivity in the HeLa cancer cell line. Full article
(This article belongs to the Special Issue DNA Damage and DNA Repair Pathways in Cancer Development)
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<p>Fermented grape extracts increased the efficacy of CPT treatment. (<b>A</b>) HeLa cells were treated with CPT at the indicated concentrations and incubated for 72 h. Cell viability was assessed using a standard assay. Statistical analysis was performed using a one-way repeated measures ANOVA with a multiple comparison post-test to compare all groups. Statistically significant differences are indicated as * <span class="html-italic">p</span> &lt; 0.05 and **** <span class="html-italic">p</span> &lt; 0.0001. (<b>B</b>) HeLa cells were treated with EtOAc extract in combination with DMSO and incubated as described in (<b>A</b>). *** <span class="html-italic">p</span> &lt; 0.001 and **** <span class="html-italic">p</span> &lt; 0.0001. (<b>C</b>) HeLa cells were treated with 2.5 nM CPT and various concentrations of EtOAc extract for 72 h. Cell viability was measured using assay. **** <span class="html-italic">p</span> &lt; 0.0001. (<b>D</b>) IC50 values for EtOAc + DMSO and EtOAc + CPT were calculated using Prism 9 software. (<b>E</b>) HeLa cells were pre-treated with 0.63 μg/mL of EtOAc extract for one hour, followed by incubation with 1 μM CPT or 20 μM Etoposide for an additional two hours. Cells were then lysed, and Western blot analysis was performed using the indicated antibodies. Lamin A/C was used as a protein loading control.</p>
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<p>EtOAc does not affect DNA damage repair ability induced by camptothecin. (<b>A</b>) RPA32 S4/8 foci intensity in HeLa cells treated for one hour with EtOAc at 0.63 μg/mL, followed by incubation with 1 μM CPT for an additional two hours. Foci number was measured with Fiji software. **** <span class="html-italic">p</span> &lt; 0.0001. (<b>B</b>) Representative images of pRPA32 following incubation with the indicated reagents. All immunofluorescence images were acquired with the LSM900 using AiryScan2. Magnification 63×. (<b>C</b>) γH2AX intensity was measured in HeLa cells pre-treated with EtOAc extract or DMSO for one hour, followed by 1 μM CPT treatment. At the end of incubation time we performed a drugs washout, monitoring the DNA repair as a measure of γH2AX nuclear signal. Immunofluorescence images were analyzed with Fiji software. * <span class="html-italic">p</span> &lt; 0.05 and **** <span class="html-italic">p</span> &lt; 0.0001. (<b>D</b>) Representative images of H2AX S139 nuclear intensity in HeLa cells treated with 1 μM CPT and DMSO for three hours, followed by drug washout to monitor H2AX recovery. Magnification 63×. (<b>E</b>) Immunofluorescence analysis of HeLa cells treated for one hour with EtOAc at 0.63 μg/mL, followed by incubation with 1 μM CPT for an additional two hours. Magnification 63×. (<b>F</b>) HeLa cells stably transfected with the pDR-GFP vector were co-transfected with I-SceI endonuclease and incubated with 0.63 μg/mL of EtOAc extract for 24 h. HR activity was measured using FACS analysis, with GFP levels serving as an indicator of HR frequency. Data are presented as means ± standard deviation from three independent experiments. Statistically significant differences are indicated by * <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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<p>OA reduces HeLa cell viability in combination with CPT. (<b>A</b>) HeLa cells stably expressing the EJ2GFP-puro reporter plasmid were transfected with the SceI plasmid, followed by incubation with EtOAc for 24 h. At the end of the incubation period, GFP levels were measured using FACS analysis to assess Alt-EJ frequency. Data are shown as means ± standard deviation from three independent experiments. Statistically significant differences are indicated by * <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. (<b>B</b>) HeLa cells stably expressing the pimEJ5GFP reporter plasmid were transfected with the I-SceI coding plasmid, followed by incubation as described in (<b>A</b>). NHEJ activity was measured using FACS analysis, with GFP levels serving as an indicator of NHEJ frequency. Data are presented as means ± standard deviation from three independent experiments. Statistically significant differences are indicated by ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. (<b>C</b>) HeLa cells carrying the SSA-GFP reporter plasmid were transfected with the I-SceI endonuclease and treated as described in (<b>A</b>). Statistically significant differences are indicated by *** <span class="html-italic">p</span> &lt; 0.001. (<b>D</b>) OA at 0.63 μg/mL or DMSO was pre-incubated for one hour, followed by incubation with different concentrations of CPT for 72 h. The mean of three independent experiments is reported, followed by statistical analysis. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001. (<b>E</b>) IC50 calculation, using GraphPad software, from cell viability assay of HeLa cells treated as described in (<b>D</b>).</p>
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<p>OA treatment does not affect the DNA repair ability compared to CPT alone. (<b>A</b>) The neutral comet assay was performed as described in <a href="#sec4-ijms-25-13475" class="html-sec">Section 4</a>. HeLa cells were pre-treated with OA or DMSO, followed by incubation with 1 μM CPT for an additional two hours. At the end of the incubation period, a drug washout was performed to monitor DNA repair. For each condition, 5 × 10⁴ cells were spotted onto glass slides and stained with SYBR Green. We analyzed 30 cells for each condition. The results show the means and standard deviation (SD) of three independent experiments. Statistically significant differences are indicated by * <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; 0.0001. (<b>B</b>) Representative images of the neutral comet assay. Magnification 63×. (<b>C</b>) Immunofluorescence analysis of pRPA32 S4/8 foci per cell in HeLa cells treated with CPT alone or in combination with OA. Immunofluorescence staining was performed with pRPA32 S4/8, and Hoechst was used as a DNA marker. We analyzed 30 cells for each condition across three independent experiments. Statistical analysis was performed using a <span class="html-italic">t</span>-test, and significant differences are indicated by **** <span class="html-italic">p</span> &lt; 0.0001. (<b>D</b>) Representative images of pRPA32 S4/8 in HeLa cells treated as described in (<b>C</b>). Magnification 63×. (<b>E</b>) HeLa cells were pre-treated with 0.63 µg/mL of OA for one hour, followed by incubation with 1 µM CPT for an additional two hours. Chromatin-enriched purification was performed to separate soluble (S) and chromatin-bound (P) fractions. RPA32 protein was used as a marker for the soluble fraction and as a control for DNA damage, while Lamin A/C served as a loading control for the chromatin fraction.</p>
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<p>Oleanolic acid reduces RAD51 localization onto DNA damage sites. (<b>A</b>) Densitometric analysis of RAD51 chromatin loading from three independent experiments. The analysis was performed using Fiji software by dividing the densitometry values for RAD51 by the loading control, Lamin A/C. *** <span class="html-italic">p</span> &lt; 0.001. (<b>B</b>) RAD51 foci were analyzed in HeLa cells pre-treated with OA and CPT as described in (<b>A</b>), using Fiji software. The results are shown as means ± standard deviation (SD) from three independent experiments, with 30 cells analyzed per condition. Statistical differences were assessed using the Student’s <span class="html-italic">t</span>-test and are indicated as **** <span class="html-italic">p</span> &lt; 0.0001. (<b>C</b>) Representative images of RAD51 foci formation in HeLa cells treated as described in (<b>B</b>). Magnification 63×. (<b>D</b>) RAD51 and γH2AX colocalization was assessed in HeLa cells treated as described in (<b>B</b>). Images were acquired using Zen software, and a colocalization mask was generated to visualize the overlap between RAD51 and γH2AX foci. Magnification 63×. (<b>E</b>) Pearson’s correlation coefficient was calculated using Zen software to quantify the colocalization of RAD51 and γH2AX in HeLa cells pre-treated as in (<b>A</b>). The results are presented as means ± SD from three independent experiments, with 30 cells analyzed per condition. Statistical differences were evaluated using the Student’s <span class="html-italic">t</span>-test and are indicated as *** <span class="html-italic">p</span> &lt; 0.001. (<b>F</b>) A scatter plot depicting RAD51 and γH2AX colocalization in HeLa cells treated as described in A. Images were obtained using Zen software, showing the distribution and overlap of RAD51 and γH2AX foci.</p>
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<p>ERCC1 localized to DNA damaged sites upon OA treatment. (<b>A</b>) HeLa cells were pre-treated with Oleanolic Acid (OA) at 0.63 µg/mL or DMSO for one hour, followed by incubation with 1 µM CPT for two hours. Chromatin purification was performed to separate soluble (S) and chromatin-bound (P) fractions. Total RPA32 was used for normalization of the soluble fraction (S) and as a DNA damage control, while Lamin A/C served as a loading control for the chromatin fraction. (<b>B</b>) Immunofluorescence analysis of HeLa cells treated as described in (<b>A</b>) was conducted to assess ERCC1 foci formation. Foci were quantified using Fiji software. The graph shows means ± standard deviation (SD) from three independent experiments, with 30 cells analyzed per condition. Statistical significance was determined by Student’s <span class="html-italic">t</span>-test, with results indicated as **** <span class="html-italic">p</span> &lt; 0.0001. (<b>C</b>) Representative images of ERCC1 foci from HeLa cells treated as described in (<b>A</b>) are shown. Images were acquired using Zen software. Hoechst staining was used as a DNA marker to visualize cell nuclei. Magnification 63×. (<b>D</b>) Immunofluorescence images showing the colocalization of ERCC1 and γH2AX in HeLa cells treated as in (<b>A</b>). Colocalization masks were generated using Zen software to illustrate the overlap between ERCC1 and γH2AX foci. (<b>E</b>) Pearson’s correlation coefficient was calculated using Zen software to quantify the colocalization of ERCC1 and γH2AX in HeLa cells treated as described in (<b>A</b>). The graph shows means ± SD from three independent experiments, with 30 cells analyzed per condition. **** <span class="html-italic">p</span> &lt; 0.0001. (<b>F</b>) A scatter plot depicting ERCC1 and γH2AX colocalization in HeLa cells treated with OA or DMSO for one hour, followed by CPT treatment, is presented. Images were analyzed with Zen software to visualize the distribution and overlap of ERCC1 and γH2AX foci.</p>
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11 pages, 729 KiB  
Article
Evaluation of a Novel Potentially Probiotic/Pediococcus acidilactici ORE5 in Lactic Acid Fermentation of Cornelian Cherry Juice: Assessment of Nutritional Properties, Physicochemical Characteristics, and Sensory Attributes
by Ioanna Mantzourani, Maria Daoutidou, Antonia Terpou and Stavros Plessas
Fermentation 2024, 10(12), 650; https://doi.org/10.3390/fermentation10120650 - 16 Dec 2024
Viewed by 372
Abstract
The present research survey aimed to investigate the effect of a novel, potentially probiotic strain Pediococcus acidilactici ORE5 on the fermentation of Cornelian cherry for 24 h at 30 °C, followed by cold storage for 4 weeks. Two fermentation systems were established, differing [...] Read more.
The present research survey aimed to investigate the effect of a novel, potentially probiotic strain Pediococcus acidilactici ORE5 on the fermentation of Cornelian cherry for 24 h at 30 °C, followed by cold storage for 4 weeks. Two fermentation systems were established, differing in the form of P. acidilactici ORE5 applied as starter culture of (i) free cells and (ii) immobilized cells in delignified wheat bran. A high lactic acid fermentation rate was recorded, especially in the case of immobilized cell application, since lactic acid levels were determined at 184.8 mg/100 mL and acetic acid at 12.7 mg/100 mL. High probiotic load was observed throughout all studied periods, even at the fourth week of cold storage for both fermentation systems (above 8 log cfu/mL). The total phenolics content (TPC) of the fermented juices was high elevated compared to the unfermented one in all studied periods. When immobilized cells were applied, the TPC of the fermented juice attained the highest values (224.4.5–285.1 mg GAE/100 mL) compared to the juice fermented with free cells (204.5–258.4 mg GAE/100 mL) and the unfermented juice (140.5–165.8 mg GAE/100 mL). Improvements in the sensorial features of the fermented juice compared to the unfermented were also recorded during cold storage. Overall, the results of the present research demonstrated that P. acidilactici ORE5 can be successfully applied in lactic acid fermentation of Cornelian cherry juice, leading to a functional product with increased nutritional value, high probiotic load, and improved sensorial features. Full article
(This article belongs to the Special Issue Lactic Acid Bacteria Metabolism)
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<p>Proposed route for functional beverage production through the fermentation of Cornelian cherry juice with <span class="html-italic">P. acidilactici</span> ORE5: assessment of nutritional properties, physicochemical characteristics, and sensory attributes.</p>
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23 pages, 876 KiB  
Review
Exploring the Potential and Challenges of Fermentation in Creating Foods: A Spotlight on Microalgae
by Monize Bürck, Ailton Cesar Lemes, Mariana Buranelo Egea and Anna Rafaela Cavalcante Braga
Fermentation 2024, 10(12), 649; https://doi.org/10.3390/fermentation10120649 - 16 Dec 2024
Viewed by 546
Abstract
Fermentation is an ancient bioprocess that harnesses the power of microorganisms to convert raw ingredients into valuable and safe food products. There has been a growing interest in using fermentation to create safe, nutritious, and sustainable foods, particularly with the incorporation of microalgae. [...] Read more.
Fermentation is an ancient bioprocess that harnesses the power of microorganisms to convert raw ingredients into valuable and safe food products. There has been a growing interest in using fermentation to create safe, nutritious, and sustainable foods, particularly with the incorporation of microalgae. This review highlights fermentation’s potential benefits and challenges, focusing on microalgae and its metabolites. Bioactive peptides released during microalgae fermentation have garnered attention for their potential health benefits, particularly their antidiabetic actions. Studies suggest that these peptides can help regulate blood glucose levels and improve insulin sensitivity, presenting a promising avenue for developing foods that nourish and contribute to disease prevention. As awareness grows regarding health and sustainability, there is an increasing demand for safe and sustainable food options. Fermented products, particularly those utilizing microalgae, are often perceived positively by among consumers owing to their perceived benefits. Educating consumers on the advantages of fermented foods, including their nutritional value and sustainability, can further enhance market acceptance and commercialization. Thus, the present work aims to explore the literature to study the potential and challenges of fermentation as a tool to produce sustainable foods, focusing on microalgae as an ingredient. Full article
(This article belongs to the Topic Fermented Food: Health and Benefit)
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<p>Bibliometric network density map generated in VOSviewer.</p>
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<p>Generic flowchart for obtaining bioactive peptides from microalgal biomass.</p>
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19 pages, 6316 KiB  
Article
Protective Effects of Cereal-Based Fermented Beverages Against 5-Fluorouracil-Induced Intestinal Damage in Mice
by Dongze Qin, Wenhui Fu, Yi Sun, Lingda Zhao, Haiwei Liu, Dancai Fan, Dongfei Tan, Xuemeng Ji and Shuo Wang
Nutrients 2024, 16(24), 4332; https://doi.org/10.3390/nu16244332 - 16 Dec 2024
Viewed by 307
Abstract
Background: 5-Fluorouracil (5-FU) is a common chemotherapeutic medication used to treat cancer. However, the intestinal tract may sustain oxidative damage as a result. Objectives: The purpose of this study was to clarify the underlying molecular mechanisms and examine the preventive benefits of cereal-based [...] Read more.
Background: 5-Fluorouracil (5-FU) is a common chemotherapeutic medication used to treat cancer. However, the intestinal tract may sustain oxidative damage as a result. Objectives: The purpose of this study was to clarify the underlying molecular mechanisms and examine the preventive benefits of cereal-based fermented drinks (CFBs) against intestinal injury in mice caused by 5-FU. Methods: The mice were injected intraperitoneally with 5-FU to induce intestinal mucosal and treated with CFB. The factors for intestinal barrier integrity, oxidative stress and inflammation were measured. Results: The findings demonstrated that CFBs had high levels of polyphenol, flavonoids, and peptides and had in vitro high free radical scavenging capacity. Furthermore, CFBs effectively ameliorated 5-FU-induced intestinal epithelium damage, characterized by increasing intestinal tight junctions and reducing apoptosis in intestinal cells. These protective effects may attribute to the increased activity of antioxidant-related enzymes (SOD, CAT, and GSH) as well as decreased amounts of inflammatory and oxidative damage markers (IL-1β, TNF-α, and MDA) in the intestinal tract. Conclusions: Overall, these results show that CFBs can mitigate intestinal damage caused by 5-FU by reducing oxidative stress, suggesting the potential utility of CFBs for therapeutic treatment against intestinal mucositis. Full article
(This article belongs to the Section Nutritional Immunology)
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Figure 1

Figure 1
<p>The scheme of animal experiments: BALB/c mice (<span class="html-italic">n</span> = 10 in each group) were treated with CFB for 15 days. On the 10th day, intestinal injury was induced by intraperitoneal (i.p.) injection of 5-FU (300 mg/kg).</p>
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<p>The quality and chemical antioxidant activity of CFBs. ZLC: the fermentation supernatant of samples without herbal medicines; ZLCM: the fermentation supernatant of samples with herbal medicines; JGJZ: the commercial cereal-based juice; Ascorbate: the positive control group (Vitamin C). (<b>A</b>) pH values; (<b>B</b>) protein content; (<b>C</b>) TPC; (<b>D</b>) TFC; (<b>E</b>) ABTS radical scavenging activity; (<b>F</b>) DPPH radical scavenging activity; (<b>G</b>) molecular weight distribution (The red-circled part is the elution peak of the 12 kDa molecular weight protein). Data are presented as mean ± SEM, and differences were regarded as statistically significant at a <span class="html-italic">p</span>-value &lt; 0.05 (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, or *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Clinical index of mice. (<b>A</b>) The contamination of the hair around the anus and buttocks; (<b>B</b>) The length of the small intestine. Ctrl: the control group; 5-FU: the model group; ZLC: pretreatment with ZLC; ZLCM: pretreatment with ZLCM; JGJZ: the positive control (pretreatment with JGJZ).</p>
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<p>CFB supplementation ameliorated immunosuppression in mice induced by 5-FU. Ctrl: the control group; 5-FU: the model group; ZLC: pretreatment with ZLC; ZLCM: pretreatment with ZLCM; JGJZ: the positive control (pretreatment with JGJZ). (<b>A</b>) White blood cell (WBC); (<b>B</b>) platelet (PLT); (<b>C</b>) spleen index. Data are presented as mean ± SEM, and differences were regarded as statistically significant at a <span class="html-italic">p</span>-value &lt; 0.05 (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, or *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>CFB ameliorated 5-FU-induced intestinal barrier injury and histopathological changes. Ctrl: the control group; 5-FU: the model group; ZLC: pretreatment with ZLC; ZLCM: pretreatment with ZLCM; JGJZ: the positive control (pretreatment with JGJZ). The mRNA expression levels of (<b>A</b>) ZO-1; (<b>B</b>) occludin; (<b>C</b>) DAO; (<b>D</b>) morphometric analysis of villus height; (<b>E</b>) histopathological sections of stained mucosal (5× objective, scale bar = 200 μm). Data are presented as mean ± SEM, and differences were regarded as statistically significant at a <span class="html-italic">p</span>-value &lt; 0.05 (* <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001, or **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Effects of CFBs on the integrity of intestinal mucosal barrier in mice. Ctrl: the control group; 5-FU: the model group; ZLC: pretreatment with ZLC; ZLCM: pretreatment with ZLCM; JGJZ: the positive control (pretreatment with JGJZ). (<b>A</b>) The mRNA expression levels of Mucin-2; (<b>B</b>) number of goblet cells/field for experimental groups; (<b>C</b>) Alcian blue-periodic acid Schiff (AB-PAS) staining of ileum; the purple-magenta particles indicated by the arrow are goblet cells (20× objective, scale bar = 50 μm). Data are presented as mean ± SEM, and differences were regarded as statistically significant at a <span class="html-italic">p</span>-value &lt; 0.05 (* <span class="html-italic">p</span> &lt; 0.05, or **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>CFBs reduced 5-FU-induced apoptosis of intestinal cells. Ctrl: the control group; 5-FU: the model group; ZLC: pretreatment with ZLC; ZLCM: pretreatment with ZLCM; JGJZ: the positive control (pretreatment with JGJZ). (<b>A</b>) The mRNA expression levels of Bcl-2; (<b>B</b>) mRNA expression levels of Bax; (<b>C</b>) TUNEL staining (20× objective, scale bar = 50 μm). Data are presented as mean ± SEM, and differences were regarded as statistically significant at a <span class="html-italic">p</span>-value &lt; 0.05 (* <span class="html-italic">p</span> &lt; 0.05, or ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>CFBs attenuated intestinal oxidative stress injury in mice induced by 5-FU. Ctrl: the control group; 5-FU: the model group; ZLC: pretreatment with ZLC; ZLCM: pretreatment with ZLCM; JGJZ: the positive control (pretreatment with JGJZ). (<b>A</b>) CAT; (<b>B</b>) SOD; (<b>C</b>) GSH; (<b>D</b>) MDA. Data are presented as mean ± SEM, and differences were regarded as statistically significant at a <span class="html-italic">p</span>-value &lt; 0.05 (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, or **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>CFBs inhibited 5-FU-induced intestinal inflammatory response. Ctrl: the control group; 5-FU: the model group; ZLC: pretreatment with ZLC; ZLCM: pretreatment with ZLCM; JGJZ: the positive control (pretreatment with JGJZ). Contents of pro-inflammatory cytokines (<b>A</b>) TNF-α and (<b>B</b>) IL-1β; (<b>C</b>) mRNA expression levels of NF-κB, IKKα, and IKKβ. Data are presented as mean ± SEM, and differences were regarded as statistically significant at a <span class="html-italic">p</span>-value &lt; 0.05 (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, or **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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