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dc.contributor.author
Lozano, Valeria Antonella
dc.contributor.author
Ibañez, Gabriela Alejandra
dc.contributor.author
Olivieri, Alejandro Cesar
dc.date.available
2021-03-09T12:36:41Z
dc.date.issued
2010-06
dc.identifier.citation
Lozano, Valeria Antonella; Ibañez, Gabriela Alejandra; Olivieri, Alejandro Cesar; Second-order analyte quantitation under Identical profiles in one data dimension. A dependency-adapted partial least-squares/residual bilinearization method; American Chemical Society; Analytical Chemistry; 82; 11; 6-2010; 4510-4519
dc.identifier.issn
0003-2700
dc.identifier.uri
http://hdl.handle.net/11336/127801
dc.description.abstract
Analyte quantitation can be achieved from second-order data in the presence of uncalibrated components using multivariate calibration methods such as partial leastsquares with residual bilinearization. However, the latter fails under conditions of identical profiles for interfering agents and calibrated components in one of the data dimensions. To overcome this problem, a new residual bilinearization procedure for linear dependency is here introduced. Simulated data show that the new model can conveniently handle the studied analytical problem, with a success comparable to multivariate curve resolutionalternating least-squares and also comparable to a version of parallel factor analysis adapted to cope with linear dependencies. The new approach has also been applied to two experimental examples involving the determination of the antibiotic ciprofloxacin in (1) urine samples from lanthanide-sensitized excitation-time decay matrixes and (2) serum samples from a novel second-order signal based on the time evolution of chemiluminescence emission. The results indicate good analytical performance of the new procedure toward the analyte in comparison with the classical approaches.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Chemical Society
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
SECOND-ORDER ADVANTAGE
dc.subject
PARTIAL LEAST-SQUARES
dc.subject
RESIDUAL BILINEARIZATION FOR LINEAR DEPENDENCY
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IDENTICAL PROFILES IN ONE DIMENSION
dc.subject.classification
Química Analítica
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Ciencias Químicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Second-order analyte quantitation under Identical profiles in one data dimension. A dependency-adapted partial least-squares/residual bilinearization method
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-02-18T15:22:39Z
dc.journal.volume
82
dc.journal.number
11
dc.journal.pagination
4510-4519
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Washington
dc.description.fil
Fil: Lozano, Valeria Antonella. 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: Ibañez, Gabriela Alejandra. 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: 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.journal.title
Analytical Chemistry
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/abs/10.1021/ac100424d
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1021/ac100424d
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