A field trials-based authentication study of conventionally and organically grown Chinese yams using light stable isotopes and multi-elemental analysis combined with machine learning algorithms.

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作者： Chaogeng,Lyu ^[1] ; Jian,Yang ^[1] ; Tielin,Wang ^[1] ; Chuanzhi,Kang ^[1] ; Sheng,Wang ^[1] ; Hongyang,Wang ^[1] ; Xiufu,Wan ^[1] ; Li,Zhou ^[1] ; Wenjin,Zhang ^[1] ; Luqi,Huang ^[2] ; Lanping,Guo ^[3]

作者单位： State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, PR China. ^[1] State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, PR China. Electronic address: huangluqi01@126.com. ^[2] State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, PR China. Electronic address: glp01@126.com. ^[3]

关键词 Chemometrics Chinese yam Light stable isotopes Multi-elements Organic authentication Quality evaluation

主题词薯蓣属(Dioscorea);诈骗(Fraud);同位素(Isotopes);有机农业(Organic Agriculture)

DOI 10.1016/j.foodchem.2020.128506

PMID 33153811

发布时间 2021-01-13

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