Optimizing the extraction of active components from <i>Salvia miltiorrhiza</i> by combination of machine learning models and intelligent optimization algorithms and its correlation analysis of antioxidant activity.

Chen, Binhao; Zhao, Yali; Yu, Dingyi; Lin, Feifei; Xu, Zhengyuan; Song, Jingmei; Li, Xiaohong

Optimizing the extraction of active components from Salvia miltiorrhiza by combination of machine learning models and intelligent optimization algorithms and its correlation analysis of antioxidant activity.

Chen, Binhao; Zhao, Yali; Yu, Dingyi; Lin, Feifei; Xu, Zhengyuan; Song, Jingmei; Li, Xiaohong.

Afiliação

Chen B; The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Zhao Y; The School of Life Science, Zhejiang Chinese Medical University, Hangzhou, China.
Yu D; The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Lin F; The School of Life Science, Zhejiang Chinese Medical University, Hangzhou, China.
Xu Z; The School of Life Science, Zhejiang Chinese Medical University, Hangzhou, China.
Song J; The School of Basic Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Li X; School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.

Prep Biochem Biotechnol ; 54(3): 358-373, 2024.

Article em En | MEDLINE | ID: mdl-37585713

Assuntos

Salvia miltiorrhiza; Antioxidantes; Algoritmos; Etanol; Aprendizado de Máquina

Palavras-chave

Ant colony optimization; Salvia miltiorrhiza; antioxidant; enzymatic hydrolysis; extraction process; neural network

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Salvia miltiorrhiza Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo

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XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Salvia miltiorrhiza Idioma: En Ano de publicação: 2024 Tipo de documento: Article