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dc.contributor.author
Goicoechea, Hector Casimiro
dc.contributor.author
Olivieri, Alejandro Cesar
dc.contributor.author
Tauler, Romà
dc.date.available
2020-05-13T14:18:05Z
dc.date.issued
2010-01
dc.identifier.citation
Goicoechea, Hector Casimiro; Olivieri, Alejandro Cesar; Tauler, Romà; Application of the correlation constrained multivariate curve resolution alternating least-squares method for analyte quantitation in the presence of unexpected interferences using first-order instrumental data; Royal Society of Chemistry; Analyst; 135; 3; 1-2010; 636-642
dc.identifier.issn
0003-2654
dc.identifier.uri
http://hdl.handle.net/11336/105024
dc.description.abstract
Correlation constrained multivariate curve resolution-alternating least-squares is shown to be a feasible method for processing first-order instrumental data and achieve analyte quantitation in the presence of unexpected interferences. Both for simulated and experimental data sets, the proposed method could correctly retrieve the analyte and interference spectral profiles and perform accurate estimations of analyte concentrations in test samples. Since no information concerning the interferences was present in calibration samples, the proposed multivariate calibration approach including the correlation constraint facilitates the achievement of the so-called second-order advantage for the analyte of interest, which is known to be present for more complex higher-order richer instrumental data. The proposed method is tested using a simulated data set and two experimental data systems, one for the determination of ascorbic acid in powder juices using UV-visible absorption spectral data, and another for the determination of tetracycline in serum samples using fluorescence emission spectroscopy.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Royal Society of Chemistry
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
MCR
dc.subject
ALS
dc.subject
Second order
dc.subject
First order
dc.subject.classification
Química Analítica
dc.subject.classification
Ciencias Químicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Application of the correlation constrained multivariate curve resolution alternating least-squares method for analyte quantitation in the presence of unexpected interferences using first-order instrumental data
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-04-21T15:26:28Z
dc.journal.volume
135
dc.journal.number
3
dc.journal.pagination
636-642
dc.journal.pais
Reino Unido
dc.journal.ciudad
Cambridge
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimioterapia; Argentina
dc.description.fil
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
dc.description.fil
Fil: Tauler, Romà. Consejo Superior de Investigaciones Científicas; España. Instituto de Diagnóstico Ambiental y Estudios del Agua; España
dc.journal.title
Analyst
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1039/b922547a
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://pubs.rsc.org/en/content/articlelanding/2010/an/b922547a#!divAbstract
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