1. [Progress and trend of identification of traditional Chinese medicine based on chemical features].
- Author
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Wang JX, Yao X, and Li G
- Subjects
- Artificial Intelligence, Medicine, Chinese Traditional, Drugs, Chinese Herbal chemistry, Drugs, Chinese Herbal analysis, Quality Control
- Abstract
Variety identification is the prerequisite and foundation for ensuring the quality of traditional Chinese medicine. The safety risks, legal risks, and regulatory trends underline the importance of traditional Chinese medicine varieties. With the industrialization of traditional Chinese medicine and the production of Chinese medicinal materials from wild growing to cultivation and breeding, new varieties of traditional Chinese medicine keep emerging. At the same time, facing the requirements of the entire process control of traditional Chinese medicine quality under the new situation, the current identification technology of traditional Chinese medicine is facing severe challenges. According to the current situation and evolution trend of technologies for traditional Chinese medicine identification, chemical components as the material basis for the effects of traditional Chinese medicine not only have rich characteristics but also can run through the entire quality formation and transmission process of traditional Chinese medicine. Identifying traditional Chinese medicine based on chemical components is the only way to achieve integrated medicine quality and whole-process quality control. The introduction of modern analytical instruments improves the scope and efficiency of obtaining chemical information of traditional Chinese medicine. Big data and artificial intelligence provide new opportunities for deeply interpreting the scientific connotation of chemical characteristic information of traditional Chinese medicine and comprehensively identifying traditional Chinese medicine based on chemical characteristics. Artificial intelligence can be employed to extract high-dimensional chemical information patterns from comprehensive chemical quantitative information collected from a large number of samples, remove the interference of noise information, and discover the chemical characteristics(components, quantity values, and relative proportions of components) that determine the variety. This approach can help to achieve integrated quality identification based on chemical characteristics, reflect the quality transmission process of traditional Chinese medicine, and achieve quality information traceability, providing support for building a whole-process quality control system of traditional Chinese medicine.
- Published
- 2024
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