Discrimination of mung beans according to climate and growing region by untargeted metabolomics coupled with machine learning methods

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成果类型：

期刊论文

作者：

He, Lei;Hu, Qian;Yu, Yue;Yu, Yaoxian;Yu, Ning;...

通讯作者：

Ying Chen

作者机构：

[He, Lei; Yu, Ning; Chen, Ying] Chinese Academy of Inspection and Quarantine, Beijing, 100176, PR China

School of Food and Health, Beijing Technology and Business University, Beijing, 100048, PR China

Graduate School of Food Science and Engineering, Jilin Agricultural University, Beijing, 130118, PR China

College of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, PR China

[Hu, Qian] Chinese Academy of Inspection and Quarantine, Beijing, 100176, PR China<&wdkj&>School of Food and Health, Beijing Technology and Business University, Beijing, 100048, PR China

通讯机构：

[Ying Chen] C

Chinese Academy of Inspection and Quarantine, Beijing, 100176, PR China

语种：

英文

关键词：

Climate zone;Growing region;Machine learning;Mung bean;Untargeted metabolomics

期刊：

Food Control

ISSN：

0956-7135

年：

2023

卷：

153

页码：

109927

DOI：

10.1016/j.foodcont.2023.109927

基金类别：

CRediT authorship contribution statement Lei He: Conceptualization, Investigation, Writing – original draft, Formal analysis, Data curation. Qian Hu: Methodology, Investigation, Formal analysis. Yue Yu: Methodology, Investigation. Yaoxian Yu: Formal analysis. Ning Yu: Project administration, acquisition. Ying Chen: Conceptualization, Project administration, acquisition, Writing – review & editing.

机构署名：

本校为其他机构

院系归属：

生命科学与技术学院

摘要：

Mung bean is an important pulse in China owing to its nutritional and bioactive properties, however, the quality characteristics of mung beans from different climate zones and growing regions in China remain unknown. In the present study, an untargeted metabolomics approach based on ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) coupled with machine learning was used to compare and discriminate mung beans from different climate zones and growing regions. Based on orthogonal partial least ...

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Discrimination of mung beans according to climate and growing region by untargeted metabolomics coupled with machine learning methods

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