English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/19408
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:
DC FieldValueLanguage
dc.contributor.authorDiewok, Josef-
dc.contributor.authorJuan, Anna de-
dc.contributor.authorMaeder, Marcel-
dc.contributor.authorTauler, Romà-
dc.contributor.authorLendl, Bernhard-
dc.date.accessioned2009-12-09T10:39:34Z-
dc.date.available2009-12-09T10:39:34Z-
dc.date.issued2003-02-01-
dc.identifier.citationAnalytical Chemistry 75(3): 641-647 (2003)en_US
dc.identifier.issn0003-2700-
dc.identifier.urihttp://hdl.handle.net/10261/19408-
dc.description7 pages, 3 figures, 3 tables.-- PMID: 12585496 [PubMed].-- Available online Dec 24, 2002.en_US
dc.description.abstractpH modulation of aqueous mixture samples combined with FT-IR detection and a powerful second-order resolution method is proposed for both resolution and quantitation of acid analytes in the presence of similarly behaving interferences. The proposed method allows for the analyte determination in mixtures using a single standard sample per analyte. Due to the very similar pKa values of the investigated analytes and interferences, the highly correlated concentration profiles of these compounds cannot be successfully resolved with pure soft-modeling second-order approaches. The inclusion of a hard-modeling constraint based on the acid−base equilibrium model in the soft-modeling curve resolution method has allowed for the unambiguous resolution of the analyte profiles and, as a consequence, for the correct quantitation of this compound in the mixture sample. A detailed discussion of the combined hard−soft-modeling approach as well as the analytical problem and the quantitation results is given. Also, strategies to overcome problems associated with variation in pKa values between different samples are addressed. Due to the flexible implementation of the hard-model equilibrium constraint in the multivariate curve resolution-alternating least squares method, this approach is expected to be useful also for analysis of other complex mixed equilibrium-based chemical systems.en_US
dc.description.sponsorshipThe authors acknowledge gratefully the financial support of this work by the Austrian Science Fund within the project P13350 ÖCH.en_US
dc.format.extent22195 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoengen_US
dc.publisherAmerican Chemical Societyen_US
dc.rightsclosedAccessen_US
dc.subjectpH-Modulated Mixtureen_US
dc.subjectHard-modeling equilibrium constrainten_US
dc.subjectMCR-ALS approachen_US
dc.titleApplication of a combination of hard and soft modeling for equilibrium systems to the quantitative analysis of pH-modulated mixture samplesen_US
dc.typeArtículoen_US
dc.identifier.doi10.1021/ac026248j-
dc.description.peerreviewedPeer revieweden_US
dc.relation.publisherversionhttp://dx.doi.org/10.1021/ac026248jen_US
dc.identifier.e-issn1520-6882-
Appears in Collections:(IDAEA) Artículos
Files in This Item:
There are no files associated with this item.
Show simple item record
 

Related articles:


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