| 光谱学与光谱分析 |
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| 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 |
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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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Received: 2012-02-09
Accepted: 2012-04-16
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Corresponding Authors:
LU Feng
E-mail: fenglufeng@hotmail.com
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