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首页> 外文期刊>Chemical and Pharmaceutical Bulletin >Analysis of Distribution of Ingredients in Commercially Available Clarithromyein Tablets Using Near-Infrared Chemical Imaging with Principal Component Analysis and Partial Least Squares
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Analysis of Distribution of Ingredients in Commercially Available Clarithromyein Tablets Using Near-Infrared Chemical Imaging with Principal Component Analysis and Partial Least Squares

机译:基于主成分分析和偏最小二乘的近红外化学成像分析市售克拉莫霉素片剂中的成分分布

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摘要

The aim of this study was to evaluate pharmaceuticals using a near-infrared chemical imaging (NIR-CI) technique for visualizing the distribution of ingredients in solid dosage forms of commercially available clarithromycin tablets. The cross section of a tablet was measured using the NIR-CI system for evaluating the distribution of ingredients in the tablet. The chemical images were generated by performing multivariate analysis methods: principal component analysis (PCA) and partial least squares (PLS) with normalized near-infrared (NIR) spectral data. We gained spectral and distributional information related to clarithromycin, cornstarch, and magnesium stearate by using PCA analysis. On the basis of this information, the distribution images of these ingredients were generated using PLS analysis. The results of PCA analysis enabled us to analyze individual components by using PLS even if sufficient information on the products was not available. However, some ingredients such as binder could not be detected using NIR-CI, because their particle sizes were smaller than the pixel size (approximately 25x25x50 mu m) and they were present in low concentrations. The combined analysis using both PCA and PLS with NIR-CI was useful to analyze the distribution of ingredients in a commercially available pharmaceutical even when sufficient information on the product is not available.
机译:这项研究的目的是使用近红外化学成像(NIR-CI)技术评估药品,以可视化市售克拉霉素片剂的固体剂型中成分的分布。使用NIR-CI系统测量片剂的横截面以评估片剂中成分的分布。化学图像是通过执行多元分析方法生成的:主成分分析(PCA)和偏最小二乘法(PLS),具有标准化的近红外(NIR)光谱数据。通过使用PCA分析,我们获得了与克拉霉素,玉米淀粉和硬脂酸镁相关的光谱和分布信息。根据此信息,使用PLS分析生成这些成分的分布图像。即使没有足够的产品信息,PCA分析的结果也使我们能够使用PLS分析单个组件。但是,某些成分(例如粘合剂)无法使用NIR-CI进行检测,因为它们的粒径小于像素尺寸(约25x25x50微米),并且浓度较低。结合使用PCA和PLS以及NIR-CI进行的组合分析对于分析市售药物中的成分分布非常有用,即使没有足够的产品信息。

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