A multi-omics strategy to reveal the effect of raw meat differences on volatile organic compounds and microbial communities of fermented sour meat

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Authors: Qiuyu Lan, Yankai Hou, Xin Zhao, Zijian Cai, Junni Tang, Rui Zeng, Chenglin Zhu, Luca Laghi
Cited by: 3
References: 50

Abstract

This study elucidates the physicochemical, volatile, and microbial characteristics of sour meats fermented from beef (BSM), goose (GSM), pork (PSM), and yak (YSM). The results showed all samples reached a similar pH (approximately 3.9), though color and texture varied notably. E-nose analyses of the four sour meat revealed significant differences. GC-MS, and GC-IMS analyses identified 104 and 41 volatile compounds, including 42 and 11 differential VOCs (VIP > 1, p < 0.05). Fermentation markedly reshaped the microbiota, with Firmicutes dominating and Lactobacillus emerging as the principal genus alongside group-specific co-dominants. Spearman analysis revealed positive correlations between Lactobacillus and key flavor compounds. PICRUSt2 indicated microbial activities influence the metabolites of sour meat products through amino sugar and nucleotide sugar metabolism, glycolysis/gluconeogenesis, pyruvate metabolism, and starch and sucrose metabolism. These findings provide an evidence-based foundation for optimizing the production process and improving the quality of the product. • Multi-omics revealed raw meat strongly shaped sour meat flavor profiles. • Lactobacillus mainly drove flavor formation and correlated with key volatiles. • GC–IMS and GC–MS identified esters and acids as key aroma contributors. • Raw meat source influenced fermentation metabolism and microbial structure.

Fields of Study & Subjects

Meat and Animal Product Quality Fermentation and Sensory Analysis Probiotics and Fermented Foods

Publication details

Journal / source
LWT
Publisher
Elsevier BV
Volume
241
Pages
119112–119112
Publication date
30 January 2026
Language
EN