LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties

221 p.+ anexos

Bibliographic Details
Author: Millán Martín, Laura
Format: doctoral thesis
Publication Date:2015
Country:España
Institution:Universidad del País Vasco
Repository:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/15944
Online Access:http://hdl.handle.net/10810/15944
Access Level:Open access
Keyword:chromatographic analysis
mass spectroscopy
análisis cromatográfico
espectroscopia de masas
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spelling LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varietiesMillán Martín, Laurachromatographic analysismass spectroscopyanálisis cromatográficoespectroscopia de masas221 p.+ anexosFor years, grape berries and red wine have been a subject of investigation with respect to their chemical composition. Several active components from grape skin and seeds were shown to exhibit anti-inflammatory, antioxidant and anti-cancer properties. Likewise, regular and moderate wine consumption, particularly red wine, has been associated with health benefits.Plant sterols, also called phytosterols (PS), are a family of interest among grapevine and grape-derived products. PS are bioactive compounds that exist in all food items of plant origin with positive effects on human health. The nutritional role of these compounds to reduce circulating cholesterol levels in humans has been extensively studied.Gas chromatography (GC) has been the most frequently analytical technique for PS determination in plant-based food and vegetable oils, coupled to different detectors. However, this methodology usually requires a previous derivatization step and does not allow PS conjugates determination. Thus, high performance liquid chromatography (HPLC) coupled to mass spectrometry (MS) has replaced the cited GC techniques.In order to improve the knowledge of chemical composition of grape and wine, the research work described in this thesis aims to study the distribution of PS family in oenological matrices.The first part of this work deals with the optimization of extraction techniques, separation and subsequent detection conditions through LC-MS. To achieve this objective, two analytical methods have been developed. Firstly, an LC-APCI-IT MS method is used for the PS determination in monovarietal red wine cv. Tempranillo. Secondly, an LC-APCI-QTOF MS methodology is applied so as to the PS determination in the different parts of grape berries (pulp, peel and seeds), used to elaborate above mentioned wines.In the second part of this thesis, a metabolomic study has been carried out, as a targeted approach, focusing on phytosterols family in six different varieties of Rioja grapes (Tempanillo, Graciano, Cabernet Sauvignon, Garnacha, White Garnacha and Viura). In order to find significant differences between varieties, Mass Profiler Professional (MPP) software is a powerful informatics tool which helps data analysis and interpretation, applying multivariate statistics (MVA) such as Principal component analysis (PCA) and Partial least square discrimination analysis (PLS-DA).Barrio Díez-Caballero, Ramón JoséSampedro Yangüela, María CarmenQuímica Analítica;;Kimika Analitikoa2015201520152015info:eu-repo/semantics/doctoralThesishttp://hdl.handle.net/10810/15944reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/(cc)2015 Laura Millán Martín (cc by-nc 4.0)oai:addi.ehu.eus:10810/159442026-06-18T09:23:17Z
dc.title.none.fl_str_mv LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties
title LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties
spellingShingle LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties
Millán Martín, Laura
chromatographic analysis
mass spectroscopy
análisis cromatográfico
espectroscopia de masas
title_short LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties
title_full LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties
title_fullStr LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties
title_full_unstemmed LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties
title_sort LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties
dc.creator.none.fl_str_mv Millán Martín, Laura
author Millán Martín, Laura
author_facet Millán Martín, Laura
author_role author
dc.contributor.none.fl_str_mv Barrio Díez-Caballero, Ramón José
Sampedro Yangüela, María Carmen
Química Analítica;;Kimika Analitikoa
dc.subject.none.fl_str_mv chromatographic analysis
mass spectroscopy
análisis cromatográfico
espectroscopia de masas
topic chromatographic analysis
mass spectroscopy
análisis cromatográfico
espectroscopia de masas
description 221 p.+ anexos
publishDate 2015
dc.date.none.fl_str_mv 2015
2015
2015
2015
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/15944
url http://hdl.handle.net/10810/15944
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
(cc)2015 Laura Millán Martín (cc by-nc 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
(cc)2015 Laura Millán Martín (cc by-nc 4.0)
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407240508669952
score 15.300719