dc.creatorGodoy Caballero, María del Pilar
dc.creatorCulzoni, Maria Julia
dc.creatorGaleano Diaz, Teresa
dc.creatorAcedo Valenzuela, María Isabel
dc.date.accessioned2016-07-06T20:35:29Z
dc.date.accessioned2018-11-06T15:00:55Z
dc.date.available2016-07-06T20:35:29Z
dc.date.available2018-11-06T15:00:55Z
dc.date.created2016-07-06T20:35:29Z
dc.date.issued2013-02
dc.identifierGodoy Caballero, María del Pilar; Culzoni, Maria Julia; Galeano Diaz, Teresa; Acedo Valenzuela, María Isabel; Novel combination of non-aqueous capillary electrophoresis and multivariate curve resolution-alternating least squares to determine phenolic acids in virgin olive oil; Elsevier; Analytica Chimica Acta; 463; 2-2013; 11-19
dc.identifier0003-2670
dc.identifierhttp://hdl.handle.net/11336/6389
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1892840
dc.description.abstractThis paper presents the development of a non-aqueous capillary electrophoresis method coupled to UV detection combined with multivariate curve resolution-alternating least-squares (MCR-ALS) to carry out the resolution and quantitation of a mixture of six phenolic acids in virgin olive oil samples. p-Coumaric, caffeic, ferulic, 3,4-dihydroxyphenylacetic, vanillic and 4-hydroxyphenilacetic acids have been the analytes under study. All of them present different absorption spectra and overlapped time profiles with the olive oil matrix interferences and between them. The modeling strategy involves the building of a single MCR-ALS model composed of matrices augmented in the temporal mode, namely spectra remain invariant while time profiles may change from sample to sample. So MCR-ALS was used to cope with the coeluting interferences, on accounting the second order advantage inherent to this algorithm which, in addition, is able to handle data sets deviating from trilinearity, like the data herein analyzed. The method was firstly applied to resolve standard mixtures of the analytes randomly prepared in 1-propanol and, secondly, in real virgin olive oil samples, getting recovery values near to 100% in all cases. The importance and novelty of this methodology relies on the combination of non-aqueous capillary electrophoresis second-order data and MCR-ALS algorithm which allows performing the resolution of these compounds simplifying the previous sample pretreatment stages.
dc.languageeng
dc.publisherElsevier
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0003267012017989
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.aca.2012.12.014
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.aca.2012.12.014
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectNON-AQUEOUS CAPILLARY ELECTROPHORESIS
dc.subjectMULTIVARIETE CURVE RESOLUTION-ALTERNATING LEAST SQUARES
dc.subjectPHENOLIC ACIDS
dc.subjectVIRGIN OLIVE OIL
dc.titleNovel combination of non-aqueous capillary electrophoresis and multivariate curve resolution-alternating least squares to determine phenolic acids in virgin olive oil
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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