Work

Integrating Non-Targeted Mass Spectrometry and Machine Learning for the Classification of Organic and Conventionally Grown Agricultural Products: A Case Study on Tomatoes

Year: 2025

Type: article

Source: Journal of Agricultural and Food Chemistry

DOI: 10.1021/acs.jafc.5c04964

Authors: Xiao Yun, Xiaoxiao Han, Xin Zhang, Wenxiao Pan, Qiao Xue, Xian Liu, Jianjie Fu, Richard Röttger, Aiqian Zhang

Institutions: Chinese Academy of Sciences, Sino-Danish Centre for Education and Research, Research Center for Eco-Environmental Sciences, University of Chinese Academy of Sciences, State Key Laboratory of Environmental Chemistry and Ecotoxicology, University of Southern Denmark

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, Youth Innovation Promotion Association of the Chinese Academy of Sciences

Awards: G3915925641, G6007918836, G6896930262, G7758101378, G7956258992, G8506059077

OpenAlex ID: W4412628933

FWCI:

Cites: 38

Cited by:

Related to: 10