Characterization, classification and authentication of fruit-based extracts by means of HPLC-UV chromatographic fingerprints, polyphenolic profiles and chemometric methods

dc.contributor.authorPardo-Mates, Naiara
dc.contributor.authorVera, Alex
dc.contributor.authorBarbosa, Sergio
dc.contributor.authorHidalgo-Serrano, Míriam
dc.contributor.authorNúñez Burcio, Oscar
dc.contributor.authorSaurina, Javier
dc.contributor.authorHernández Cassou, Santiago
dc.contributor.authorPuignou i Garcia, Lluís
dc.date.accessioned2017-01-12T15:03:52Z
dc.date.available2018-04-15T22:01:48Z
dc.date.issued2017-04-15
dc.date.updated2017-01-12T15:03:52Z
dc.description.abstractHPLC-UV was applied to the analysis and characterization of fruit-based and fruit-processed products. A Kinetex C18 reversed-phase column was proposed under gradient elution for the determination of 17 polyphenols. Acceptable sensitivity (LODs below 0.16 mg/L), and good linearity (r2 higher then 0.995), precision (RSD below 6.8%), and method trueness (relative errors below 11%) were obtained. Data corresponding to polyphenolic peak areas and HPLC-UV chromatographic fingerprints were then analyzed by exploratory principal component analysis (PCA) to extract information of the most significant variables contributing to characterization and classification of analyzed samples regarding the fruit of origin. HPLC-UV chromatographic data was further treated by partial least square (PLS) regression to determine the percentages of adulteration in cranberry-fruit extracts. It was found that even mixture samples containing low percentages of adulterants could be distinguished from genuine cranberry extracts. Highly satisfactory results were obtained, with overall errors in the quantification of adulterations below 4.3%.
dc.format.extent10 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec664601
dc.identifier.issn0308-8146
dc.identifier.pmid27979205
dc.identifier.urihttps://hdl.handle.net/2445/105523
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.foodchem.2016.10.033
dc.relation.ispartofFood Chemistry, 2017, vol. 221, p. 29-38
dc.relation.urihttps://doi.org/10.1016/j.foodchem.2016.10.033
dc.rightscc-by-nc-nd (c) Elsevier B.V., 2017
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.sourceArticles publicats en revistes (Enginyeria Química i Química Analítica)
dc.subject.classificationCromatografia de líquids d'alta resolució
dc.subject.classificationPolifenols
dc.subject.classificationQuimiometria
dc.subject.otherHigh performance liquid chromatography
dc.subject.otherPolyphenols
dc.subject.otherChemometrics
dc.titleCharacterization, classification and authentication of fruit-based extracts by means of HPLC-UV chromatographic fingerprints, polyphenolic profiles and chemometric methods
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion

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