Detection and quantitation of frauds in the authentication of cranberry-based extracts by UHPLC-HRMS (Orbitrap) polyphenolic profiling and multivariate calibration methods

UHPLC-HRMS (Orbitrap) polyphenolic profiling was applied to the characterization, classification and authentication of cranberry-based natural and pharmaceutical products. 53 polyphenolic standards were characterized to build a user accurate mass database which was then proposed to obtain UHPLC-HRMS...

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Autores: Barbosa, Sergio, Pardo-Mates, Naiara, Hidalgo-Serrano, Míriam, Saurina, Javier, Puignou i Garcia, Lluís, Núñez Burcio, Oscar
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/124665
Acceso en línea:https://hdl.handle.net/2445/124665
Access Level:acceso abierto
Palabra clave:Oli d'oliva
Polifenols
Quimiometria
Envasament d'aliments
Espectrometria de masses
Olive oil
Polyphenols
Chemometrics
Food packaging
Mass spectrometry
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spelling Detection and quantitation of frauds in the authentication of cranberry-based extracts by UHPLC-HRMS (Orbitrap) polyphenolic profiling and multivariate calibration methodsBarbosa, SergioPardo-Mates, NaiaraHidalgo-Serrano, MíriamSaurina, JavierPuignou i Garcia, LluísNúñez Burcio, OscarOli d'olivaPolifenolsQuimiometriaEnvasament d'alimentsEspectrometria de massesOlive oilPolyphenolsChemometricsFood packagingMass spectrometryUHPLC-HRMS (Orbitrap) polyphenolic profiling was applied to the characterization, classification and authentication of cranberry-based natural and pharmaceutical products. 53 polyphenolic standards were characterized to build a user accurate mass database which was then proposed to obtain UHPLC-HRMS polyphenolic profiles by means of ExactFinderTM software. Principal component analysis results showed a good sample discrimination according to the fruit employed. Regarding cranberry-based pharmaceuticals, discrimination according to the presentation format (syrup, sachets, capsules, etc.) was also observed due to the enhancement of some polyphenols by purification and preconcentration procedures. Procyanidin A2 and homogenistic, sinapic, veratric, cryptochlorogenic and caffeic acids showed to be important polyphenols to achieve cranberry-based products discrimination against the other studied fruits. Partial least square regression allowed the determination of adulterant percentages in cranberry-fruit samples. Very satisfactory results, with adulteration quantification errors lower than 6.0% were obtained even at low adulteration levels.American Chemical Society, Books and Journals Division]2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/124665Articles publicats en revistes (Enginyeria Química i Química Analítica)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1021/acs.jafc.8b02855Journal of Agricultural and Food Chemistry, 2018, vol. 66, num. 35, p. 9353-9365https://doi.org/10.1021/acs.jafc.8b02855(c) American Chemical Society, Books and Journals Division], 2018info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1246652026-05-27T06:46:51Z
dc.title.none.fl_str_mv Detection and quantitation of frauds in the authentication of cranberry-based extracts by UHPLC-HRMS (Orbitrap) polyphenolic profiling and multivariate calibration methods
title Detection and quantitation of frauds in the authentication of cranberry-based extracts by UHPLC-HRMS (Orbitrap) polyphenolic profiling and multivariate calibration methods
spellingShingle Detection and quantitation of frauds in the authentication of cranberry-based extracts by UHPLC-HRMS (Orbitrap) polyphenolic profiling and multivariate calibration methods
Barbosa, Sergio
Oli d'oliva
Polifenols
Quimiometria
Envasament d'aliments
Espectrometria de masses
Olive oil
Polyphenols
Chemometrics
Food packaging
Mass spectrometry
title_short Detection and quantitation of frauds in the authentication of cranberry-based extracts by UHPLC-HRMS (Orbitrap) polyphenolic profiling and multivariate calibration methods
title_full Detection and quantitation of frauds in the authentication of cranberry-based extracts by UHPLC-HRMS (Orbitrap) polyphenolic profiling and multivariate calibration methods
title_fullStr Detection and quantitation of frauds in the authentication of cranberry-based extracts by UHPLC-HRMS (Orbitrap) polyphenolic profiling and multivariate calibration methods
title_full_unstemmed Detection and quantitation of frauds in the authentication of cranberry-based extracts by UHPLC-HRMS (Orbitrap) polyphenolic profiling and multivariate calibration methods
title_sort Detection and quantitation of frauds in the authentication of cranberry-based extracts by UHPLC-HRMS (Orbitrap) polyphenolic profiling and multivariate calibration methods
dc.creator.none.fl_str_mv Barbosa, Sergio
Pardo-Mates, Naiara
Hidalgo-Serrano, Míriam
Saurina, Javier
Puignou i Garcia, Lluís
Núñez Burcio, Oscar
author Barbosa, Sergio
author_facet Barbosa, Sergio
Pardo-Mates, Naiara
Hidalgo-Serrano, Míriam
Saurina, Javier
Puignou i Garcia, Lluís
Núñez Burcio, Oscar
author_role author
author2 Pardo-Mates, Naiara
Hidalgo-Serrano, Míriam
Saurina, Javier
Puignou i Garcia, Lluís
Núñez Burcio, Oscar
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Oli d'oliva
Polifenols
Quimiometria
Envasament d'aliments
Espectrometria de masses
Olive oil
Polyphenols
Chemometrics
Food packaging
Mass spectrometry
topic Oli d'oliva
Polifenols
Quimiometria
Envasament d'aliments
Espectrometria de masses
Olive oil
Polyphenols
Chemometrics
Food packaging
Mass spectrometry
description UHPLC-HRMS (Orbitrap) polyphenolic profiling was applied to the characterization, classification and authentication of cranberry-based natural and pharmaceutical products. 53 polyphenolic standards were characterized to build a user accurate mass database which was then proposed to obtain UHPLC-HRMS polyphenolic profiles by means of ExactFinderTM software. Principal component analysis results showed a good sample discrimination according to the fruit employed. Regarding cranberry-based pharmaceuticals, discrimination according to the presentation format (syrup, sachets, capsules, etc.) was also observed due to the enhancement of some polyphenols by purification and preconcentration procedures. Procyanidin A2 and homogenistic, sinapic, veratric, cryptochlorogenic and caffeic acids showed to be important polyphenols to achieve cranberry-based products discrimination against the other studied fruits. Partial least square regression allowed the determination of adulterant percentages in cranberry-fruit samples. Very satisfactory results, with adulteration quantification errors lower than 6.0% were obtained even at low adulteration levels.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/124665
url https://hdl.handle.net/2445/124665
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1021/acs.jafc.8b02855
Journal of Agricultural and Food Chemistry, 2018, vol. 66, num. 35, p. 9353-9365
https://doi.org/10.1021/acs.jafc.8b02855
dc.rights.none.fl_str_mv (c) American Chemical Society, Books and Journals Division], 2018
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) American Chemical Society, Books and Journals Division], 2018
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Chemical Society, Books and Journals Division]
publisher.none.fl_str_mv American Chemical Society, Books and Journals Division]
dc.source.none.fl_str_mv Articles publicats en revistes (Enginyeria Química i Química Analítica)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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