Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples
Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples
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DOI：
10.1016/j.talanta.2007.08.024
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发表时间：
2008-02-15
期刊：
影响因子：
6.1
通讯作者：
Tauler, R.
中科院分区：
文献类型：
--
作者：
Azzouz, T.;Tauler, R.
显示了多元曲线分辨率交替最小二乘法 (MCR-ALS) 在不同类型的制药和农业样品中不同分析物的分辨率和定量中的应用。特别是，MCR-ALS 首先应用于商业类固醇药物混合物的紫外分光光度定量分析，其次应用于饲料谷物样品中湿度和蛋白质含量的近红外 (NIR) 分光光度定量分析。将 MCR-ALS 获得的定量结果与使用完善的偏最小二乘回归 (PLSR) 多元校准方法获得的定量结果进行比较。 (c) 2007 年 Elsevier B.V. 出版
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. (c) 2007 Published by Elsevier B.V.