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

Abstract

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.