Sort similarity based on computational method for chemical fingerprinting.
- Author:
Jinghua ZHONG
1
;
Xiaorong HOU
;
Xiaohui FAN
Author Information
1. Pharmaceutical Informatics Institute, Zhejiang University, Hangzhou 310058, China.
- Publication Type:Journal Article
- MeSH:
Chromatography;
methods;
Chromatography, High Pressure Liquid;
methods;
Magnoliopsida;
chemistry;
Plant Extracts;
analysis
- From:
China Journal of Chinese Materia Medica
2010;35(4):477-480
- CountryChina
- Language:Chinese
-
Abstract:
The key parts of chemical fingerprinting. However, the performance of the current whole similarity determining method sometimes is inadequate when the chromatograms of different classes are similar. The present study was focused on developing a sort similarity measure determining method for these problems. In this method, chemical fingerprint features are extracted from original chromatograms for classifying the samples. Further, the fluctuations of chemical compositions among the same class samples are evaluated using an inter-class similarity measure. The proposed method was applied to evaluate the quality of Sarcandra glabra samples through their HPLC fingerprints. The results showed that the different parts of this plant, i.e., the aerial and the whole, were clearly classified, and chemical fluctuations of samples with the same sort were well represented.
