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Metabolomics analysis of okara probiotic beverages fermented with Lactobacillus gasseri and Limosilactobacillus fermentum by LC-QTOF-MS/MS.


ABSTRACT: In this study, okara was fermented with probiotic strains Lactobacillus gasseri LAC 343 and Limosilactobacillus fermentum PCC, respectively. Significant increases in cell count (by 2.22 log CFU/mL for LAC and 0.82 log CFU/mL for PCC) and significant decreases in pH (by 1.31 for LAC and 1.03 for PCC) were found in fermented okara slurry. In addition, strain LAC tended to produce amino acids, while strain PCC depleted most amino acids. An untargeted metabolomic-based approach using liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used to further understand the compositional changes and potential health benefits by identifying bioactive metabolites in fermented okara slurry. We successfully identified various beneficial bioactive compounds including γ-aminobutyric acid, indolelactic acid, d-phenyllactic acid, and p-hydroxyphenyllactic acid which had differences in fold-changes in okara slurry fermented with different strains. Our study indicated the feasibility of using probiotics to ferment okara for novel functional food development.

SUBMITTER: Gao Z 

PROVIDER: S-EPMC10865209 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Metabolomics analysis of okara probiotic beverages fermented with <i>Lactobacillus gasseri</i> and <i>Limosilactobacillus fermentum</i> by LC-QTOF-MS/MS.

Gao Zihan Z   Zhou Melody Chang MC   Lin Jing J   Lu Yuyun Y   Liu Shao Quan SQ  

Food chemistry: X 20240206


In this study, okara was fermented with probiotic strains <i>Lactobacillus gasseri</i> LAC 343 and <i>Limosilactobacillus fermentum</i> PCC, respectively. Significant increases in cell count (by 2.22 log CFU/mL for LAC and 0.82 log CFU/mL for PCC) and significant decreases in pH (by 1.31 for LAC and 1.03 for PCC) were found in fermented okara slurry. In addition, strain LAC tended to produce amino acids, while strain PCC depleted most amino acids. An untargeted metabolomic-based approach using l  ...[more]

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