Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/10988
Share/Impact:
Título : Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples
Autor : Azzouz, T., Tauler Ferré, Romà
Palabras clave : Forage analysis
NIR spectroscopy
MCR-ALS
PLSR
Fecha de publicación : 15-Feb-2008
Editor: Elsevier
Citación : Talanta 74(5): 1201-1210 (2008)
Resumen: 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.
Descripción : 10 pages, 6 figures, 3 tables.-- PMID: 18371770 [PubMed].-- Available online Aug 30, 2007.
Versión del editor: http://dx.doi.org/10.1016/j.talanta.2007.08.024
URI : http://hdl.handle.net/10261/10988
ISSN: 0039-9140
DOI: 10.1016/j.talanta.2007.08.024
Appears in Collections:(IDAEA) Artículos

Files in This Item:
There are no files associated with this item.
Show full item record
 
CSIC SFX LinksSFX Query


Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.