4.2 Article

Cold-Hot Nature Identification of Chinese Medicine Based on an Ultraviolet Chemical Fingerprint

Journal

SPECTROSCOPY
Volume 36, Issue 12, Pages 23-29

Publisher

ADVANSTAR COMMUNICATIONS INC

Keywords

-

Categories

Funding

  1. national key basic research development program (973 Program) [2007CB512601]
  2. National Natural Science Foundation of China [81473369]
  3. Key research and development plan of Shandong province [2016CYJS08A01-1]

Ask authors/readers for more resources

The nature theory of Chinese medicine is a core basic theory of traditional Chinese medicine, and chemical fingerprint technology has been widely used in the identification and research of Chinese medicine. A predictive identification model was studied based on a constructed Chinese medicine fingerprint database to classify the cold-hot nature of Chinese medicines, proving to be effective with better predictive stability and extrapolation compared to existing classical models.
The nature theory of Chinese medicine (CM) is a core basic theory of traditional Chinese medicine (TCM), and CM chemical fingerprint technology has been widely used in identification and research of CM. Following the previous study results, the UV spectrum data of 61 CMs with clear cold-hot nature, in which 30 CMs are cold medicines and 31 CMs are hot medicines, were analyzed. Based on the constructed CM fingerprint database, a retrieval scheme is studied to build a predictive identification model used to classify the cold-hot nature of CMs. According to the experimental results, this prediction model is best for the identification of the UV spectrum of petroleum ether solvents; compared with existing classical models, the constructed model has better predictive stability and extrapolation. The proposed prediction model is proven to be effective.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available