Marker-Independent Food Identification Enabled by Combing Machine Learning Algorithms with Comprehensive GC × GC/TOF-MS

Marker-Independent Food Identification Enabled by Combing Machine Learning Algorithms with Comprehensive GC × GC/TOF-MS

Reliable methods are always greatly desired for the practice of food inspection. Currently, most food inspection techniques are mainly dependent on the identification of special components, which neglect the combination effects of different components and often lead to biased results. By using Chine...

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Bibliographic Details
Main Authors: Bei Li, Miao Liu, Feng Lin, Cui Tai, Yanfei Xiong, Ling Ao, Yumin Liu, Zhixin Lin, Fei Tao, Ping Xu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Molecules
Subjects:
Chinese liquors
food inspection
GC × GC/TOF-MS
machine learning
Online Access:https://www.mdpi.com/1420-3049/27/19/6237

Internet

https://www.mdpi.com/1420-3049/27/19/6237

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