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Tomato fruit volatile profiles are highly dependent on sample processing and capturing methods

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Tomato fruit volatile profiles are highly dependent on sample processing and capturing methods

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dc.contributor.author Rambla Nebot, Jose Luis es_ES
dc.contributor.author Alfaro Cañamás, Cristina es_ES
dc.contributor.author Medina Herranz, Mª Aurora es_ES
dc.contributor.author Zarzo Castelló, Manuel es_ES
dc.contributor.author Primo Millo, Jaime es_ES
dc.contributor.author Granell Richart, Antonio es_ES
dc.date.accessioned 2016-06-09T09:24:59Z
dc.date.available 2016-06-09T09:24:59Z
dc.date.issued 2015-12
dc.identifier.issn 1573-3882
dc.identifier.uri http://hdl.handle.net/10251/65569
dc.description.abstract [EN] Volatile compounds are together with sugars and organic acids the main determinants of tomato fruit flavour and are therefore important for consumer acceptance. Consequently, in the last years many studies have been performed using different volatile analytical techniques on a large diversity of tomato fruits, aimed mainly at detecting the compounds affecting flavour or at the identification of QTLs and key genes involved in fruit volatile contents. The comparison of three of the analytical methods most commonly applied (headspace, solid phase microextraction, adsorption on Tenax followed by thermal desorption) revealed not only differences in sensitivity, but also dramatic variations in the volatile profile obtained by each of these techniques. The volatile profile was also largely influenced by the way samples were processed before analysis. Four widely used sample processing methods were compared (whole tomato, sliced fruit and two different types of fruit paste), each one producing a characteristic volatile pattern. Therefore, great care should be taken when comparing results available from the literature obtained by means of different methods, or when using the volatile levels obtained in an experiment to predict their influence on tomato flavor or consumer preference, or to assess the success of breeding programs. es_ES
dc.description.sponsorship We thank Rafael Fernandez for providing excellent tomato fruits for this study. Funding to AG was provided through CALITOM and ESPSOL from FECYT and EUSOL (EU FP7 program) and Quality Fruit FA 1106. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Metabolomics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Tomato fruit es_ES
dc.subject Volatile es_ES
dc.subject Flavour es_ES
dc.subject Solid phase microextraction es_ES
dc.subject Headspace es_ES
dc.subject Thermal desorption es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification QUIMICA ORGANICA es_ES
dc.title Tomato fruit volatile profiles are highly dependent on sample processing and capturing methods es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11306-015-0824-5
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/268465/EU/Real-time experimental study of pattern selection dynamics in eutectic solidification/
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Agroforestal Mediterráneo - Institut Agroforestal Mediterrani es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Química - Departament de Química es_ES
dc.description.bibliographicCitation Rambla Nebot, JL.; Alfaro Cañamás, C.; Medina Herranz, MA.; Zarzo Castelló, M.; Primo Millo, J.; Granell Richart, A. (2015). Tomato fruit volatile profiles are highly dependent on sample processing and capturing methods. Metabolomics. 11(6):1708-1720. https://doi.org/10.1007/s11306-015-0824-5 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/article/10.1007%2Fs11306-015-0824-5 es_ES
dc.description.upvformatpinicio 1708 es_ES
dc.description.upvformatpfin 1720 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 6 es_ES
dc.relation.senia 300801 es_ES
dc.contributor.funder European Commission
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