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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/10988
Title: Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples
Authors: Azzouz, T.; Tauler, Romà
Keywords: Forage analysis
NIR spectroscopy
Issue Date: 15-Feb-2008
Publisher: Elsevier
Citation: Talanta 74(5): 1201-1210 (2008)
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.
Description: 10 pages, 6 figures, 3 tables.-- PMID: 18371770 [PubMed].-- Available online Aug 30, 2007.
Publisher version (URL): http://dx.doi.org/10.1016/j.talanta.2007.08.024
URI: http://hdl.handle.net/10261/10988
DOI: 10.1016/j.talanta.2007.08.024
ISSN: 0039-9140
Appears in Collections:(IDAEA) Artículos
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