Combining convolutional neural networks and in-line near-infrared spectroscopy for real-time monitoring of the chromatographic elution process in commercial production of notoginseng total saponins.

Yan, Xu; Fu, Hao; Zhang, Sheng; Qu, Haibin

Yan, Xu; Fu, Hao; Zhang, Sheng; Qu, Haibin.

Afiliación

Yan X; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P. R. China.
Fu H; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P. R. China.
Zhang S; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P. R. China.
Qu H; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P. R. China.

J Sep Sci ; 43(3): 663-670, 2020 Feb.

Article en En | MEDLINE | ID: mdl-31674130

Asunto(s)

Redes Neurales de la Computación; Panax notoginseng/química; Saponinas/análisis; Espectroscopía Infrarroja Corta; Factores de Tiempo

Palabras clave

botanical drugs; chromatographic elution process; convolutional neural network; deep learning; near-infrared spectroscopy

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Asunto principal: Saponinas / Redes Neurales de la Computación / Panax notoginseng Tipo de estudio: Prognostic_studies Idioma: En Revista: J Sep Sci Año: 2020 Tipo del documento: Article

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google