English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/10988
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

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

AuthorsAzzouz, T.; Tauler, Romà
KeywordsForage analysis
NIR spectroscopy
MCR-ALS
PLSR
Issue Date15-Feb-2008
PublisherElsevier
CitationTalanta 74(5): 1201-1210 (2008)
AbstractApplication 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.
Description10 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
URIhttp://hdl.handle.net/10261/10988
DOI10.1016/j.talanta.2007.08.024
ISSN0039-9140
Appears in Collections:(IDAEA) Artículos
Files in This Item:
There are no files associated with this item.
Show full item record
 

Related articles:


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