Research progress in modeling methods for extraction process of traditional Chinese medicine.
10.19540/j.cnki.cjcmm.20250520.301
- Author:
Feng DING
1
;
Jing LAN
2
;
Xing-Chu GONG
3
Author Information
1. College of Pharmaceutical Sciences, Zhejiang University Hangzhou 310058, China Jinhua Institute of Zhejiang University Jinhua 321016, China.
2. College of Pharmaceutical Sciences, Zhejiang University Hangzhou 310058, China Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University Hangzhou 310018, China.
3. College of Pharmaceutical Sciences, Zhejiang University Hangzhou 310058, China Jinhua Institute of Zhejiang University Jinhua 321016, China National Key Laboratory of Chinese Medicine Modernization Hangzhou 310058, China Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University Hangzhou 310018, China.
- Publication Type:English Abstract
- Keywords:
data-driven modeling;
extraction process of traditional Chinese medicine;
mechanism modeling;
modeling methods
- MeSH:
Drugs, Chinese Herbal/chemistry*;
Medicine, Chinese Traditional/methods*;
Models, Theoretical;
Artificial Intelligence;
Humans
- From:
China Journal of Chinese Materia Medica
2025;50(15):4209-4217
- CountryChina
- Language:Chinese
-
Abstract:
The extraction process of traditional Chinese medicine(TCM) is an important part in the production and processing of TCM products. The modeling of this process is of great significance for achieving intelligent production. This paper summarizes the modeling methods for the extraction process of TCM, which mainly include mechanism modeling, empirical formula modeling, data-driven modeling, and mixed modeling. Among them, mechanism modeling and data-driven modeling are widely used. Furthermore, this paper suggests that the future research on the modeling of the extraction process of TCM can be carried out from the following five aspects: in-depth research and development of the extraction process of TCM compound prescriptions, complete description of the whole extraction process of TCM, development of methods for accurate determination of the properties of TCM decoction pieces before extraction, development of adaptive self-optimization technology for models, and construction of models based on a new generation of artificial intelligence methods.
