A triangulation and neural network approach reveals the microbe-metabolite-sensory associations of fermented milk

Youming Tan

doi:10.1016/j.crfs.2026.101531

A triangulation and neural network approach reveals the microbe-metabolite-sensory associations of fermented milk

2026-08-10

0

OA

AI

Y

Youming Tan

T

Tong Wu

H

Haojie Ni

B

Baosong Wang

Z

Zihao Liu

H

Hong Zeng *

Y

Yanbo Wang *

DOI：10.1016/j.crfs.2026.101531

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• GC × GC-TOFMS identified comprehensive volatile profiles of fermented milks with five different sensory phenotypes. • GMPT analysis identified causal microbes for sensory-specific fermented milk • Beyond correlation, mmvec captured co-occurrences patterns between microbes and metabolites.

Keywords:

fermented milk

GC × GC-TOFMS

computational method

microbe-metabolite-sensory associations

A triangulation and neural network approach reveals the microbe-metabolite-sensory associations of fermented milk

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