Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform–Near-Infrared Spectroscopy and Machine Learning

Tea polyphenol and epigallocatechin gallate (EGCG) were considered as key components of tea. The rapid prediction of these two components can be beneficial for tea quality control and product development for tea producers, breeders and consumers. This study aimed to develop reliable models for tea p...

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Detalles Bibliográficos
Autores principales: Ye, Sitan, Weng, Haiyong, Xiang, Lirong, Jia, Liangquan, Xu, Jinchai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384235/
https://www.ncbi.nlm.nih.gov/pubmed/37513250
http://dx.doi.org/10.3390/molecules28145379

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384235/
https://www.ncbi.nlm.nih.gov/pubmed/37513250
http://dx.doi.org/10.3390/molecules28145379

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