Artificial neural network optimisation of natural deep eutectic solvent extraction process of Danshen–Gegen and cytotoxicity study-Reference-Cited by-同舟云学术

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Artificial neural network optimisation of natural deep eutectic solvent extraction process of Danshen–Gegen and cytotoxicity study

Published:2024-05-14 Issue: Volume: Page:1-9
ISSN:1478-6419
Container-title:Natural Product Research
language:en
Short-container-title:Natural Product Research

Author:

Huang Ping¹,Xu Lei¹,Sun Jianyu¹,Ruan Fei¹,Liu Xiaoyu¹,Chen Hongmei¹

Affiliation:

1. Department of Pharmacy, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China

Funder

Science and Technology Department of the National Administration of Traditional

Chinese Medicine-Zhejiang Provincial Administration of Traditional Chinese Medicine Jointly Constructed Science and Technology Plan Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/14786419.2024.2333045

Reference16 articles.

1. Are Natural Deep Eutectic Solvents the Missing Link in Understanding Cellular Metabolism and Physiology?

2. Optimization and modeling of microwave-assisted extraction of curcumin and antioxidant compounds from turmeric by using natural deep eutectic solvents

3. A green and simple liquid-phase microextraction based on deep eutectic solvent for the erythrosine prior to its UV–VIS spectrophotometric detection

4. Joint effect of a combination of components from the fruit ofCrataegus pinnatifidaBge. Var.majorN.E. Br. and the root ofSalvia miltiorrhizaBge. with swimming on atherosclerosis in rats

5. Network pharmacology-based approach to understand the effect and mechanism of Danshen against anemia

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