Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add filters








Language
Year range
1.
China Journal of Chinese Materia Medica ; (24): 5304-5308, 2020.
Article in Chinese | WPRIM | ID: wpr-878816

ABSTRACT

It is crucial to establish a complete set of traditional Chinese medicine(TCM) quality traceability management process system, in order to stabilize the pricing order of TCM market and reconstruct the transmission path of TCM quality signals. In this study, we reviewed the mature experience of food and drug supervision at home and abroad, analyzed the quality characteristics of TCM, and put forward that the quality control of TCM products can learn from the hazard analysis and critical control point(HACCP) system in food safety quality control. This study points out that the HACCP system provides not only technical guidance for the traceability management of TCM, but also ideas for improving the quality of TCM products and the safety risk control of TCM. The application of the HACCP system in TCM quality control can help establish an international dialogue platform for TCM and help realize the modernization and internationalization of TCM industry.


Subject(s)
Biological Products , Drugs, Chinese Herbal , Hazard Analysis and Critical Control Points , Medicine, Chinese Traditional , Quality Control
2.
Acta Pharmaceutica Sinica ; (12): 197-203, 2019.
Article in Chinese | WPRIM | ID: wpr-780106

ABSTRACT

The quality of traditional Chinese medicine (TCM) is the lifeline for TCM industry. The development of artificial intelligence (AI) has provided new means for the quality management of Chinese medicinal materials (CMM). In this paper, we take the quality marker (Q-marker) as a breakthrough point, focused on the research strategy from chemical markers to Q-markers, picked up the characteristics of the Q-markers from the near infrared spectrum (NIRS), and explored the feasibility of establishing the NIRS assay based on Q-marker. After integrated the biological activity detection and artificial neural network algorithm, we try to establish the relationship between the spectral properties of NIRS and specific efficacy of the CMM. Finally, the bottlenecks will be solved that related to the transmission and traceability of quality attributes in the process of TCM production, quantity change, overall quality management and so on. This system is going to improve TCM quantity scientific and intelligent supervision, and promote the upgrading of traditional TCM industry.

SELECTION OF CITATIONS
SEARCH DETAIL