Characterization and feature selection of volatile metabolites in Yangxian pigmented rice varieties through GC-MS and machine learning algorithms

Characterization and feature selection of volatile metabolites in Yangxian pigmented rice varieties through GC-MS and machine learning algorithms

IntroductionPigmented rice is fascinated by consumers for its abundant phytochemicals and unique aroma.MethodsIn this study, GC–MS-based metabolomics of Yangxian colored rice varieties were performed to characterize their volatile metabolites through multivariate statistics and machine learning algo...

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Bibliographic Details
Main Authors: Kaiqi Cheng, Ruonan Dong, Fei Pan, Wen Su, Lingjie Xi, Meng Zhang, Jingzhang Geng, Ruichang Gao, Wengang Jin, A. M. Abd El-Aty
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Nutrition
Subjects:
pigmented rice
metabolites
multivariate statistics
machine learning
volatiles
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2025.1598875/full
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https://www.frontiersin.org/articles/10.3389/fnut.2025.1598875/full

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