Research progress on quality control methods of traditional Chinese medicine based on artificial intelligence sense technology
10.12173/j.issn.2097-4922.202409004
- VernacularTitle:基于人工智能感官技术的中药质量控制方法研究进展
- Author:
Rulan JIANG
1
;
Jieyu LEI
;
Wenli CHEN
;
Xinjun XU
Author Information
1. 中山大学药学院(广州 510006)
- Keywords:
Intelligence sense;
Appearance character;
Quality evaluation through character identification;
Quality control;
Quality evaluation;
Identification of Chinese traditional medicine;
Component detection;
Deep learning;
Multi-source information fusion;
Image reco
- From:
China Pharmacist
2024;28(11):550-556
- CountryChina
- Language:Chinese
-
Abstract:
In order to further promote and achieve the modernization of traditional Chinese medicine,it is particularly important to establish a quality control system of traditional Chinese medicine which not only respects the theory of traditional Chinese medicine but also conforms to the development of the times.Since ancient times,the appearance character of traditional Chinese medicine,such as color,gas and taste,is one of the important criteria to distinguish its authenticity and quality.At present,the research on the appearance of traditional Chinese medicine has gradually shifted from subjective"evaluation of quality from appearance traits"to artificial intelligence sensory technology which can provide objective data support.According to the different simulated senses,intelligent sensory technology can be divided into electronic eyes,electronic nose,electronic tongue,electronic ear and electronic skin.This paper combs the principles of five kinds of artificial intelligence sensory technology and their application in the quality evaluation of traditional Chinese medicine,introduces the research status and future development trend of the quality control system of traditional Chinese medicine based on intelligent sense,in order to provide a reference for the upgrade and modern development of the quality control system of traditional Chinese medicine.
