Comparison of Discriminative Methods of Hypoglycemic Drugs by Raman Spectroscopy
GAO Qun1, ZHANG Zhong-hu2, LU Feng1*
1. College of Pharmacy, Second Military Medical University, Shanghai 200433, China 2. Shandong Provincial Institute for Food and Drug Control, Ji’nan 250012, China
Abstract：In the present paper, four kinds of cluster analysis methods were used in rapid, non-destructive discrimination of hypoglycemic tablets by the Raman spectroscopy technology. Nine kinds of hypoglycemic tablets, including 48 samples, were determined using a Raman spectrometer. The sample data were pretreated with the methods of frequency range cutting, baseline correction, smoothing and vector normalization, then were analyzed by K-means, hierachical cluster, self-organizing maps(SOM) and PCA-SOM respectively. The results demonstrated that SOM was better than K-means and hierachical cluster, and it provided the best discrimination when combined with PCA. The research offers a new approach to the rapid discrimination of different kinds of hypoglycemic tablets.
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