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Sep 2026

High-throughput targeted quantification and interpretable machine learning for differentiating Baijiu aroma types.

The quantitative analysis of volatile flavor compounds in Baijiu presents challenges owing to the extensive variety and differing concentrations of these compounds. This research developed a quantitative method for 249 compounds using gas chromatography flame ionization detection (GC-FID) and gas chromatography tandem...

Sen Luo, Jiao Niu, Li Zhu et al. · 0 citations
Jul 2026

Deep neural network-based prediction of sauce-flavor Baijiu fermentation process and regulation of flavor compound synthesis.

A deep neural network based multi-task framework was developed using industrial-scale microbial community profiles and physicochemical parameters, enabling prediction of fermentation states and in silico optimization of controllable parameters to regulate target flavor compounds in sauce-flavor Baijiu production.

Shi-Yuan Ma, Wei Cheng, Zhong-Fu Duan et al. · 0 citations

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