Exploration of liquid chromatographic-diode array data for Argentinean wines by extended multivariate curve resolution

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dc.creator Pisano, Pablo Luis
dc.creator Silva, María Fernanda
dc.creator Olivieri, Alejandro César
dc.date.accessioned 2018-02-04T20:21:46Z
dc.date.available 2018-02-04T20:21:46Z
dc.date.issued 2014-03-15
dc.identifier.issn 0169-7439
dc.identifier.uri http://hdl.handle.net/2133/10496
dc.description Second-order data were measured using high-performance liquid-chromatography with diode array detection (HPLC-DAD) for a number of wine samples, which were directly injected in the HPLC-DAD system without sample pre-treatment. The data were arranged in data matrices whose modes were elution time and UV?visible absorption wavelength, and processed by extended multivariate curve resolution coupled to alternating least squares(MCR?ALS). The individual data matrices were organized in a row-wise augmented data matrix sharing the time subspace, due to the high spectral similarity among several sample components. This required previous time alignment of the chromatograms using a suitable synchronization algorithm, in order to produce a bilinear augmented datamatrix to be processed by MCR?ALS. The latter algorithm led to resolved component chromatogramsand spectra, from which component scores could be estimated, which are proportional to the relative component concentrations in each studied sample. The matrix of sample scoreswas then submitted to principal component analysis, which was applied for data exploration according to grape varietal and geographical origin. The results showed that the present data generation and analysis are useful for the discrimination of all samples of the Malbec varietal from the remaining ones, but achieved partial success regarding geographical origin. es
dc.description.sponsorship Universidad Nacional de Rosario es
dc.description.sponsorship Universidad Nacional de Cuyo es
dc.description.sponsorship Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) es
dc.description.sponsorship Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT), PICT 2010-0084 es
dc.format application/pdf
dc.format.extent 1-7
dc.language.iso eng es
dc.publisher Elsevier es
dc.rights openAccess es
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/ *
dc.subject Liquid Chromatography es
dc.subject Multivariate Curve Resolution es
dc.subject Principal Component Analysis es
dc.subject Direct Injection es
dc.subject Wine Data Exploration es
dc.title Exploration of liquid chromatographic-diode array data for Argentinean wines by extended multivariate curve resolution es
dc.rights.holder Universidad Nacional de Rosario es
dc.rights.holder Elsevier es
dc.rights.holder Pisano, Pablo Luis es
dc.rights.holder Silva, María Fernanda es
dc.rights.holder Olivieri, Alejandro César es
dc.rights.holder Universidad Nacional de Cuyo
dc.relation.publisherversion https://www.sciencedirect.com/science/article/pii/S0169743913002402 es
dc.relation.publisherversion https://doi.org/10.1016/j.chemolab.2013.12.010 es
dc.rights.text Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) es
dc.citation.title Chemometrics and Intelligent Laboratory Systems
dc.citation.volume 132
dc.description.fil Fil: Pisano, Pablo Luis. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica. Instituto de Química Rosario (IQUIR-CONICET); Argentina.
dc.description.fil Fil: Silva, María Fernanda. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias. Instituto de Biología Agrícola de Mendoza (IBAM-CONICET); Argentina.
dc.description.fil Fil: Olivieri, Alejandro César. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica. Instituto de Química Rosario (IQUIR-CONICET); Argentina.


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