The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
Conversion of (poly)phenolic compounds in food fermentations by lactic acid bacteria: Novel insights into metabolic pathways and functional metabolites
Open accessAbstract
Lactobacillaceae are among the major fermentation organisms in most food fermentations but the metabolic pathways for conversion of (poly)phenolic compounds by lactobacilli have been elucidated only in the past two decades. Hydroxycinnamic and hydroxybenzoic acids are metabolized by separate enzymes which include multiple esterases, decarboxylases and hydroxycinnamic acid reductases. Glycosides of phenolic compounds including flavonoids are metabolized by glycosidases, some of which are dedicated to glycosides of plant phytochemicals rather than oligosaccharides. Metabolism of phenolic compounds in food fermentations often differs from metabolism in vitro, likely reflecting the diversity of phenolic compounds and the unknown stimuli that induce expression of metabolic genes. Current knowledge will facilitate fermentation strategies to achieve improved food quality by targeted conversion of phenolic compounds.
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Cites
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Health benefits of fermented foods: Microbiota and beyond
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Metadata
- Authors
- Gaur, G., & Gänzle, M. G.
- Venue
- Current Research in Food Science
- Publisher
- Elsevier BV
- Published
- 2023
- Volume
- 6
- Pages
- 100448
- ISSN
- 2665-9271 (ISSN-L)
- OpenAlex
- W4317356525
- Cited by
- 259
- References
- 125
- FWCI
- 32.97
- Type
- journal article
- Language
- en
- Open access
- gold
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- Gaur, G., & Gänzle, M. G. (2023). Conversion of (poly)phenolic compounds in food fermentations by lactic acid bacteria: Novel insights into metabolic pathways and functional metabolites. Current Research in Food Science. https://doi.org/10.1016/j.crfs.2023.100448
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
