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

descriptionPublicationkeyboard_double_arrow_right Article 15 Feb 2008 English Publisher:Elsevier BVJournal:Talanta, volume 74, pages 1,201-1,210 (issn: 0039-9140,

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Authors: Azzouz, T.; Tauler, Romà;

doi: 10.1016/j.talanta.2007.08.024

pmid: 18371770

handle: 10261/10988

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

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Abstract

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.

Related Organizations

Spanish National Research Council
Spain

Keywords

Forage analysis, Crops, Agricultural, Electronic Data Processing, NIR spectroscopy, Proteins, MCR-ALS, PLSR, Pharmaceutical Preparations, Multivariate Analysis, Spectroscopy, Fourier Transform Infrared, Spectrophotometry, Ultraviolet, Steroids, Least-Squares Analysis, Edible Grain

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