A comparative UHPLC-Q/TOF-MS-based metabolomics approach coupled with machine learning algorithms to differentiate Keemun black teas from narrow-geographic origins-Reference-Cited by-同舟云学术

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

Published:2022-08 Issue: Volume:158 Page:111512
ISSN:0963-9969
Container-title:Food Research International
language:en
Short-container-title:Food Research International

Author:

Peng Chuan-yi,Ren Yin-feng,Ye Zhi-hao,Zhu Hai-yan,Liu Xiao-qian,Chen Xiao-tong,Hou Ru-yan,Granato Daniel,Cai Hui-mei

Publisher

Elsevier BV

Subject

Food Science

Reference47 articles.

1. Neural networks applied to discriminate botanical origin of honeys;Anjos;Food Chemistry,2015

2. The use of the area under the ROC curve in the evaluation of machine learning algorithms;Bradley;Pattern Recognition,1997

3. Data mining approach based on chemical composition of grape skin for quality evaluation and traceability prediction of grapes;Canizo;Computers and Electronics in Agriculture,2019

4. TBtools: an integrative toolkit developed for interactive analyses of big biological data;Chen;Molecular Plant,2020

5. Metabolomics combined with proteomics provides a novel interpretation of the compound differences among Chinese tea cultivars (Camellia sinensis var. sinensis) with different manufacturing suitabilities;Chen;Food Chemistry,2022

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploration of the effects of geographical regions on the volatile and non-volatile metabolites of black tea utilizing multiple intelligent sensory technologies and untargeted metabolomics analysis;Food Chemistry: X;2024-10

2. Tea’s Characteristic Components Eliminate Acrylamide in the Maillard Model System;Foods;2024-09-06

3. Metabolomics applications for plant-based foods origin tracing, cultivars identification and processing: Feasibility and future aspects;Food Chemistry;2024-08

4. Revealing quality chemicals of Tetrastigma hemsleyanum roots in different geographical origins using untargeted metabolomics and random-forest based spectrum-effect analysis;Food Chemistry;2024-08

5. Identification of non-volatile compounds during the pile fermentation process of Liupao tea using widely targeted metabolomics based on UPLC-QTOF-MS;Journal of Food Science and Technology;2024-07-25