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A novel tannase producing bacterial strain was isolated from rhizospheric soil of species and identified as KP715242. A 3.25-fold increase in tannase production was achieved upon optimization with central composite design using response surface methodology. Four variables namely pH, temperature, incubation period, and agitation speed were used to optimize significant correlation between the effects of these variables on tannase production. A second-order polynomial was fitted to data and validated by ANOVA. The results showed a complex relationship between variables and response given that all factors were significant and could explain 99.6% of the total variation. The maximum production was obtained at 5.2 pH, 34.97 °C temperature, 103.34 rpm agitation speed and 91.34 h of incubation time. The experimental values were in good agreement with the predicted ones and the models were highly significant with a correlation coefficient () of 0.99 and a highly significant F-value of 319.37.
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http://dx.doi.org/10.1016/j.btre.2015.06.002 | DOI Listing |
Probiotics Antimicrob Proteins
July 2025
Department of Food Science and Technology, Faculty of Nutrition & Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Antinutrients, frequently called as anti-nutritional factors (ANFs), comprise a class of compounds prevalent in numerous plant-derived foodstuffs that can impede the bioavailability of essential nutrients or serve as precursors to harmful substances. The impact of ANFs on human health remains a topic of contention, primarily contingent upon their concentrations. While the beneficial ramifications of these compounds are extensively documented, the associated risks they present and the methodologies to mitigate such risks have not received equivalent scholarly attention.
View Article and Find Full Text PDFFood Chem X
July 2025
College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China.
, the dominant fungus in Fu brick tea (FBT) production, critically determines its characteristic quality. Epigallocatechin gallate (EGCG)-the predominant and bioactive tea catechins-undergoes substantial modification during FBT processing, though its microbial-driven biotransformation pathways remain poorly understood. This study comprehensively analyzed -mediated EGCG metabolism during liquid-state fermentation, characterizing the metabolite profiles and their functional implications.
View Article and Find Full Text PDFMicrob Pathog
September 2025
Department of Microbiology, Raiganj University, Raiganj, 733134, WB, India. Electronic address:
Metabiotic fabrication has been done by mixed plant fermentation of Terminalia bellirica and Phyllanthus emblica fruit extract with probiotic bacteria Lactiplantibacillus plantarum PKI15 and showed considerable tannase (0.36 U/ml), gallic caid and pyrogallol production. Fermentative end-product analysis through FTIR, LC-MS and GC-MS result indicates the presence of several bioactive compounds confirming the presence of gallic acid and pyrogallol respectively.
View Article and Find Full Text PDFMolecules
May 2025
Department of Biotechnology and Food Analysis, Faculty of Production Engineering, Wroclaw University of Economics and Business, Komandorska 118/120, 53-345 Wrocław, Poland.
As a complex of enzymes α-l-rhamnosidase and β-d-glucosidase, naringinase catalyzes the deglycosylation of flavonoids. According to the PRISMA method, a systematic literature review was conducted analyzing peer-reviewed scientific articles from the Scopus and Web of Science databases. Recent reviews on naringinase have focused on its sources, production, and general applications, whereas the present study highlights its specific applications, its role in the deglycosylation of flavonoids, and the resulting improvement in their bioavailability.
View Article and Find Full Text PDFBiochem Cell Biol
January 2025
Department of Chemistry and Biomolecular Sciences, University of Ottawa, ON, Canada.
This study used a modified flapless (FLT) version of tannase from , (Tan) to explore the effects of "stacking" site mutations predicted by Protein Repair One Stop Shop (PROSS) to increase stability. Four different Tan structural-state models (including apo, substrate- and product- bound as well as FLT) were comparatively applied, yielding 143 predicted mutations. Of these, eight mutations (including Q63T, A65D, A184Y, A257D, V276Y, T321G, G421D, and G439D (FLT numbering)) were selected to stack, based on conservation of the prediction across all four structural states.
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