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Pseudotargeted metabolomics-based random forest model for tracking plant species from herbal products.
Cai, Wen-Lu; Fang, Can; Liu, Li-Fang; Sun, Fang-Yuan; Xin, Gui-Zhong; Zheng, Jia-Yi.
Afiliação
  • Cai WL; State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, China.
  • Fang C; State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, China.
  • Liu LF; State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, China.
  • Sun FY; State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, China.
  • Xin GZ; State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, China. Electronic address: xinguizhong1984@126.com.
  • Zheng JY; State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, China. Electronic address: zhengjy_cpu@163.com.
Phytomedicine ; 118: 154927, 2023 Sep.
Article em En | MEDLINE | ID: mdl-37331178
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Texto completo: 1 Base de dados: MEDLINE Medicinas Tradicionais: Medicinas_tradicionales_de_asia / Medicina_china Assunto principal: Saponinas / Medicamentos de Ervas Chinesas / Astrágalo Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Revista: Phytomedicine Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Medicinas Tradicionais: Medicinas_tradicionales_de_asia / Medicina_china Assunto principal: Saponinas / Medicamentos de Ervas Chinesas / Astrágalo Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Revista: Phytomedicine Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China