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dc.contributor.author
Anzardi, Maria Betania
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dc.contributor.author
Arancibia, Juan Alberto
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dc.contributor.author
Olivieri, Alejandro Cesar
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dc.date.available
2020-10-15T18:23:28Z
dc.date.issued
2020-04
dc.identifier.citation
Anzardi, Maria Betania; Arancibia, Juan Alberto; Olivieri, Alejandro Cesar; Using chemometric tools to investigate the quality of three- and four-way liquid chromatographic data obtained with two different fluorescence detectors and applied to the determination of quinolone antibiotics in animal tissues; Elsevier Science; Chemometrics and Intelligent Laboratory Systems; 199; 103972; 4-2020; 1-8
dc.identifier.issn
0169-7439
dc.identifier.uri
http://hdl.handle.net/11336/115991
dc.description.abstract
A comparison of two multi-way methodologies is presented regarding the simultaneous quantitation of several analytes in complex samples. Both protocols are based on liquid chromatography with fluorescence detection, in the following modes: (1) collecting second-order/three-way data by fluorescence emission detection at a fixed excitation wavelength, and (2) measuring third-order/four-way data through excitation-emission fluorescence matrix detection. Ten quinolone antibiotics were simultaneously analyzed in edible animal tissues such as chicken liver and bovine liver and kidney. Multivariate curve resolution - alternating least-squares (MCR-ALS) provided excellent results with the second-order strategy, with average relative prediction errors in the range 4?12% for real samples, at analyte concentrations which are compatible with the corresponding maximum residue levels. For third-order data, however, the overall MCR-ALS analytical results were worse than for second-order data (relative errors were in the range 9?23%), and one analyte was not resolved. As an alternative, unfolded partial least-squares with residual bi- and trilinearization (U-PLS/RBL and U-PLS/RTL) were applied to both second- and third-order data, with relative errors of 7?18% and 5?27% respectively. The latter errors were significantly larger than those for MCR-ALS/second-order data, although the U-PLS/RTL model permitted the detection of all analytes when processing the third-order data. Relative advantages and disadvantages of the applied procedures are discussed on the basis of the analytical performances and the specific details of the instrumental setups.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
FLUORESCENCE DETECTION
dc.subject
LIQUID CHROMATOGRAPHY
dc.subject
MULTIVARIATE CURVE RESOLUTION
dc.subject
QUINOLONE ANTIBIOTICS IN ANIMAL TISSUES
dc.subject
THREE- AND FOUR-WAY DATA
dc.subject
UNFOLDED PARTIAL LEAST-SQUARES
dc.subject.classification
Química Analítica
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dc.subject.classification
Ciencias Químicas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Using chemometric tools to investigate the quality of three- and four-way liquid chromatographic data obtained with two different fluorescence detectors and applied to the determination of quinolone antibiotics in animal tissues
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-08-05T16:42:12Z
dc.journal.volume
199
dc.journal.number
103972
dc.journal.pagination
1-8
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Anzardi, Maria Betania. 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: Arancibia, Juan Alberto. 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
Chemometrics and Intelligent Laboratory Systems
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.elsevier.com/locate/chemometrics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.chemolab.2020.103972
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