Research progress in machine learning in processing and quality evaluation of traditional Chinese medicine decoction pieces.
10.19540/j.cnki.cjcmm.20250529.301
- Author:
Han-Wen ZHANG
1
;
Yue-E LI
1
;
Jia-Wei YU
1
;
Qiang GUO
1
;
Ming-Xuan LI
1
;
Yu LI
1
;
Xi MEI
1
;
Lin LI
1
;
Lian-Lin SU
1
;
Chun-Qin MAO
1
;
De JI
1
;
Tu-Lin LU
1
Author Information
1. Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing,College of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.
- Publication Type:English Abstract
- Keywords:
electronic sensory technology;
machine learning;
machine vision technology;
processing and preparation;
quality evaluation;
spectral detection technology;
traditional Chinese medicine decoction pieces
- MeSH:
Machine Learning;
Drugs, Chinese Herbal/standards*;
Quality Control;
Medicine, Chinese Traditional/standards*;
Humans
- From:
China Journal of Chinese Materia Medica
2025;50(13):3605-3614
- CountryChina
- Language:Chinese
-
Abstract:
Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
