Patent application of intelligent quality control technology in traditional Chinese medicine production process: a review.
10.19540/j.cnki.cjcmm.20230404.301
- Author:
Xue-Fang TANG
1
;
Fei-Yu QI
1
;
Tuan-Jie WANG
2
;
Zi-Chen LIANG
1
;
Yan-Jiang QIAO
1
;
Wei XIAO
2
;
Bing XU
1
Author Information
1. Department of Chinese Medicine Informatics, Beijing University of Chinese Medicine Beijing 102400, China Beijing Key Laboratory for Production Process Control and Quality Evaluation of Chinese Medicine, Beijing Municipal Science & Technology Commission Beijing 102400, China.
2. Jiangsu Kanion Pharmaceutical Co., Ltd. Lianyungang 222001, China State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process Lianyungang 222001, China National and Regional Joint Engineering Research Center for Key Technologies of Chinese Patent Medicine Lianyungang 222001, China.
- Publication Type:Journal Article
- Keywords:
intelligent quality control;
intelligent sensing;
process cognition;
process control;
traditional Chinese medicine production process
- MeSH:
Artificial Intelligence;
Medicine, Chinese Traditional;
Reproducibility of Results;
Quality Control;
Intelligence;
Pharmaceutical Preparations
- From:
China Journal of Chinese Materia Medica
2023;48(12):3190-3198
- CountryChina
- Language:Chinese
-
Abstract:
In the new stage for intelligent manufacturing of traditional Chinese medicine(TCM) from pilot demonstration to in-depth application and comprehensive promotion, how to raise the degree of intelligence for the process quality control system has become the bottleneck of the development of TCM production process control technology. This article has sorted out 226 TCM intelligent manufacturing projects that have been approved by the national and provincial governments since the implementation of the "Made in China 2025" plan and 145 related pharmaceutical enterprises. Then, the patents applied by these pharmaceutical enterprises were thoroughly retrieved, and 135 patents in terms of intelligent quality control technology in the production process were found. The technical details about intelligent quality control at both the unit levels such as cultivation, processing of crude herbs, preparation pretreatment, pharmaceutical preparations, and the production workshop level were reviewed from three aspects, i.e., intelligent quality sensing, intelligent process cognition, and intelligent process control. The results showed that intelligent quality control technologies have been preliminarily applied to the whole process of TCM production. The intelligence control of the extraction and concentration processes and the intelligent sensing of critical quality attributes are currently the focus of pharmaceutical enterprises. However, there is a lack of process cognitive patent technology for the TCM manufacturing process, which fails to meet the requirements of closed-loop integration of intelligent sensing and intelligent control technologies. It is suggested that in the future, with the help of artificial intelligence and machine learning methods, the process cognitive bottleneck of TCM production can be overcome, and the holistic quality formation mechanisms of TCM products can be elucidated. Moreover, key technologies for system integration and intelligent equipment are expected to be innovated and accelerated to enhance the quality uniformity and manufacturing reliability of TCM.
