Fast screening and identification of illegal adulteration in dietary supplements and herbal medicines using molecular networking with deep-learning-based similarity algorithms.

Sheng, Yanghao; Xue, Ying; Wang, Jue; Liu, Shao; Jiang, Yueping

Sheng, Yanghao; Xue, Ying; Wang, Jue; Liu, Shao; Jiang, Yueping.

Afiliação

Sheng Y; Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, China.
Xue Y; Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
Wang J; Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, China.
Liu S; Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
Jiang Y; Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, China.

Anal Bioanal Chem ; 415(16): 3285-3293, 2023 Jul.

Article em En | MEDLINE | ID: mdl-37119358

Assuntos

Aprendizado Profundo; Plantas Medicinais; Espectrometria de Massas em Tandem/métodos; Suplementos Nutricionais/análise; Algoritmos; Extratos Vegetais/química

Palavras-chave

Adulteration inspection; High-resolution mass spectrometry; Molecular networking; Spectral similarity

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas Medicinais / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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