A comparative UHPLC-Q/TOF-MS-based metabolomics approach coupled with machine learning algorithms to differentiate Keemun black teas from narrow-geographic origins

Chuanyi Peng; Yin‐feng Ren; Zhi-hao Ye; Haiyan Zhu; Xiaoqian Liu; Xiaotong Chen; Ruyan Hou; Daniel Granato; Huimei Cai

doi:10.1016/j.foodres.2022.111512

A comparative UHPLC-Q/TOF-MS-based metabolomics approach coupled with machine learning algorithms to differentiate Keemun black teas from narrow-geographic origins

著者: Chuanyi Peng, Yin‐feng Ren, Zhi-hao Ye, Haiyan Zhu, Xiaoqian Liu, Xiaotong Chen, Ruyan Hou, Daniel Granato, Huimei Cai - Food Research International 2022 被引用: 68

A comparative UHPLC-Q/TOF-MS-based metabolomics approach coupled with machine learning algorithms to differentiate Keemun black teas from narrow-geographic origins | Litlas