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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Detalles Bibliográficos
Autores principales: Li, Bei, Liu, Miao, Lin, Feng, Tai, Cui, Xiong, Yanfei, Ao, Ling, Liu, Yumin, Lin, Zhixin, Tao, Fei, Xu, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572226/
https://www.ncbi.nlm.nih.gov/pubmed/36234771
http://dx.doi.org/10.3390/molecules27196237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572226/
https://www.ncbi.nlm.nih.gov/pubmed/36234771
http://dx.doi.org/10.3390/molecules27196237

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