Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples

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• 作者：T. Azzouz ; R. Tauler
• 关键词：Forage analysis ; NIR spectroscopy ; MCR-ALS ; PLSR
• 刊名：Talanta
• 出版年：2008
• 期刊代码：106_00399140
• 类别：ch
• 出版时间：15 February 2008
• 卷：74
• 期：5
• 页码：1201-1210
• 文件大小：466 K

摘要

Application of multivariate curve resolution alternating least squares (MCR-ALS), for the resolution and quantification of different analytes in different type of pharmaceutical and agricultural samples is shown. In particular, MCR-ALS is applied first to the UV spectrophotometric quantitative analysis of mixtures of commercial steroid drugs, and second to the near-infrared (NIR) spectrophotometric quantitative analysis of humidity and protein contents in forage cereal samples. Quantitative results obtained by MCR-ALS are compared to those obtained using the well established partial least squares regression (PLSR) multivariate calibration method.