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dc.contributor.author
Teglia, Carla Mariela  
dc.contributor.author
Azcarate, Silvana Mariela  
dc.contributor.author
Alcaraz, Mirta Raquel  
dc.contributor.author
Goicoechea, Hector Casimiro  
dc.contributor.author
Culzoni, Maria Julia  
dc.date.available
2019-09-06T19:37:15Z  
dc.date.issued
2018-08  
dc.identifier.citation
Teglia, Carla Mariela; Azcarate, Silvana Mariela; Alcaraz, Mirta Raquel; Goicoechea, Hector Casimiro; Culzoni, Maria Julia; Exploiting the synergistic effect of concurrent data signals: Low-level fusion of liquid chromatographic with dual detection data; Elsevier Science; Talanta; 186; 8-2018; 481-488  
dc.identifier.issn
0039-9140  
dc.identifier.uri
http://hdl.handle.net/11336/83083  
dc.description.abstract
A low-level data fusion strategy was developed and implemented for data processing of second-order liquid chromatographic data with dual detection, i.e. absorbance and fluorescence monitoring. The synergistic effect of coupling individual information provided by two different detectors was evaluated by analyzing the results gathered after the application of a series of data preprocessing steps and chemometric resolution. The chemometric modeling involved data analysis by MCR-ALS, PARAFAC and N-PLS. Their ability to handle the new data block was assessed through the estimation of the analytical figures of merits achieved in the prediction of a validation set containing fifteen fluorescent and non-fluorescent veterinary active ingredients that can be found in poultry litter. Eventually, the feasibility of the application of the fusion strategy to real poultry litter samples containing the studied compounds was verified.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
Chemometrics  
dc.subject
Dual Detection  
dc.subject
Liquid Chromatography  
dc.subject
Low-Level Data Fusion  
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Second-Order Data  
dc.subject.classification
Química Analítica  
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Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Exploiting the synergistic effect of concurrent data signals: Low-level fusion of liquid chromatographic with dual detection 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
2019-08-08T18:09:12Z  
dc.journal.volume
186  
dc.journal.pagination
481-488  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Teglia, Carla Mariela. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina  
dc.description.fil
Fil: Azcarate, Silvana Mariela. Universidad Nacional de La Pampa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Alcaraz, Mirta Raquel. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina  
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina  
dc.description.fil
Fil: Culzoni, Maria Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina  
dc.journal.title
Talanta  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.talanta.2018.04.090  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0039914018304478