Rapid Detection of Potential Natural Food Preservatives and Identification of <i>Artemisia</i> Species via High-Sensitivity Photoionization Mass Spectrometry.

Yang, Teng; Li, Zhen; Shu, Jinian; Fang, Longfa; He, Xiaojuan; Li, Qirun; Jiang, Guoxia; Chen, Siwei; Yang, Bo

Rapid Detection of Potential Natural Food Preservatives and Identification of Artemisia Species via High-Sensitivity Photoionization Mass Spectrometry.

Yang, Teng; Li, Zhen; Shu, Jinian; Fang, Longfa; He, Xiaojuan; Li, Qirun; Jiang, Guoxia; Chen, Siwei; Yang, Bo.

Afiliação

Yang T; National Engineering Laboratory for VOCs Pollution Control Material & Technology, University of Chinese Academy of Sciences, Beijing 100049, China.
Li Z; National Engineering Laboratory for VOCs Pollution Control Material & Technology, University of Chinese Academy of Sciences, Beijing 100049, China.
Shu J; National Engineering Laboratory for VOCs Pollution Control Material & Technology, University of Chinese Academy of Sciences, Beijing 100049, China.
Fang L; State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems. Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.
He X; State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems. Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.
Li Q; National Engineering Laboratory for VOCs Pollution Control Material & Technology, University of Chinese Academy of Sciences, Beijing 100049, China.
Jiang G; National Engineering Laboratory for VOCs Pollution Control Material & Technology, University of Chinese Academy of Sciences, Beijing 100049, China.
Chen S; National Engineering Laboratory for VOCs Pollution Control Material & Technology, University of Chinese Academy of Sciences, Beijing 100049, China.
Yang B; National Engineering Laboratory for VOCs Pollution Control Material & Technology, University of Chinese Academy of Sciences, Beijing 100049, China.

J Agric Food Chem ; 2023 Apr 06.

Article em En | MEDLINE | ID: mdl-37022303

Palavras-chave

Artemisia; antibacterial; machine learning; mass spectrometry; monoterpenes; preservatives; terpenoid synthase

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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