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Study of spatial distribution for the active ingredient in ibuprofen tablet based on near-infrared micro-imaging technology

文献类型： 外文期刊

作者： Wang, Dong 1 ; Ding, Yun Sheng 3 ; Cao, Jin Li 3 ; He, Yue 3 ; Ye, Sheng Feng 1 ; Min, Shun Geng 1 ;

作者机构： 1.China Agr Univ, Coll Sci, Beijing 100193, Peoples R China

2.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

3.Yunnan Tobacco Co Dali Branch, Dali 671000, Peoples R China

关键词： Near-infrared micro-imaging;Compare correlation imaging;Principal component analysis;Ibuprofen;Spatial distribution

期刊名称：CHINESE CHEMICAL LETTERS （ 影响因子：6.779； 五年影响因子：4.558 ）

ISSN： 1001-8417

年卷期： 2011 年 22 卷 11 期

页码：

收录情况： SCI

摘要： The NIR micro-images of ibuprofen tablets were collected in this research. Compare correlation imaging and principal component analysis (PCA) with histogram were applied to acquire the spatial distribution of ibuprofen granule. The result indicated that a similar distribution trend can be acquired by both of the two methods mentioned above; the information of PC2 results from ibuprofen mainly since the correlation coefficient between PC2 loading vector and the NIR spectrum of ibuprofen is 0.9930. The result of PCA indicated that the information of PC2 results from ibuprofen mainly for both the low and the high content of ibuprofen in the tablets. The correlation coefficient between the data of the two PC2 loading vectors of the low and the high content of ibuprofen in the tablets is 0.9998, which indicates that the result of PCA is stable and reliable. (C) 2011 Shun Geng Min. Published by Elsevier B.V. on behalf of Chinese Chemical Society. All rights reserved.

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