title: [Comparison of discriminative methods of hypoglycemic drugs by Raman spectroscopy].
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.
authors: College of Pharmacy, Second Military Medical University, Shanghai 200433, China. gaoqun_0226@hotmail.com
authors: Qun
authors: Q
authors: Gao
authors: Zhong-Hu
authors: ZH
authors: Zhang
authors: Feng
authors: F
authors: Lu
mesh_terms: D016002:Discriminant Analysis; D007004:Hypoglycemic Agents / Q000737:chemistry* / Q000592:standards*; D011786:Quality Control; D012044:Regression Analysis; D013059:Spectrum Analysis, Raman / Q000379:methods*; D013607:Tablets / Q000737:chemistry / Q000592:standards
chemical_list: D007004:Hypoglycemic Agents; D013607:Tablets