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.

Afiliación

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 en En | MEDLINE | ID: mdl-37119358

Asunto(s)

Aprendizaje Profundo; Plantas Medicinales; Espectrometría de Masas en Tándem/métodos; Suplementos Dietéticos/análisis; Algoritmos; Extractos Vegetales/química

Palabras clave

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

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Métodos Terapéuticos y Terapias MTCI: Terapias_biologicas Asunto principal: Plantas Medicinales / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Revista: Anal Bioanal Chem Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google