Comparative metabolitefingerprinting of legumes using LC-MS-baseduntargeted metabolomics

dc.contributor.authorLlorach, Rafael
dc.contributor.authorFavari, Claudia
dc.contributor.authorAlonso, David
dc.contributor.authorGarcia Aloy, Mar
dc.contributor.authorAndrés Lacueva, Ma. Cristina
dc.contributor.authorUrpí Sardà, Mireia
dc.date.accessioned2020-06-02T06:59:58Z
dc.date.available2020-09-11T05:10:20Z
dc.date.issued2019-09-11
dc.date.updated2020-06-02T06:59:59Z
dc.description.abstractLegumes are a well-known source of phytochemicals and are commonly believed to have similar composition between different genera. To date, there are no studies evaluating changes in legumes to discover those compounds that help to discriminate for food quality and authenticity. The aim of this work was to characterize and make a comparative analysis of the composition of bioactive compounds between Cicer arietinum L. (chickpea), Lens culinaris L. (lentil) and Phaseolus vulgaris L. (white bean) through an LC-MS-Orbitrap metabolomic approach to establish which compounds discriminate between the three studied legumes. Untargeted metabolomic analysis was carried out by LC-MS-Orbitrap from extracts of freeze-dried legumes prepared from pre-cooked canned legumes. The metabolomic data treatment and statistical analysis were realized by using MAIT R's package, and final identification and characterization was done using MSn experiments. Fold-change evaluation was made through Metaboanalyst 4.0. Results showed 43 identified and characterized compounds displaying differences between the three legumes. Polyphenols, mainly flavonol and flavanol compounds, were the main group with 30 identified compounds, followed by α-galactosides (n = 5). Fatty acyls, prenol lipids, a nucleoside and organic compounds were also characterized. The fold-change analysis showed flavanols as the wider class of discriminative compounds of lentils compared to the other legumes; prenol lipids and eucomic acids were the most discriminative compounds of beans versus other legumes and several phenolic acids (such as primeveroside salycilic), kaempferol derivatives, coumesterol and α-galactosides were the most discriminative compounds of chickpeas. This study highlights the applicability of metabolomics for evaluating which are the characteristic compounds of the different legumes. In addition, it describes the future application of metabolomics as tool for the quality control of foods and authentication of different kinds of legumes.
dc.format.extent11 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec694889
dc.identifier.issn0963-9969
dc.identifier.urihttps://hdl.handle.net/2445/163597
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.foodres.2019.108666
dc.relation.ispartofFood Research International, 2019, vol. 126
dc.relation.urihttps://doi.org/10.1016/j.foodres.2019.108666
dc.rightscc-by-nc-nd (c) Elsevier B.V., 2019
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.sourceArticles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)
dc.subject.classificationLlegums
dc.subject.classificationNutrició
dc.subject.classificationQuímica dels aliments
dc.subject.classificationMetabolòmica
dc.subject.classificationEspectrometria de masses
dc.subject.classificationFitoquímica
dc.subject.classificationControl de qualitat dels aliments
dc.subject.otherLegumes
dc.subject.otherNutrition
dc.subject.otherFood composition
dc.subject.otherMetabolomics
dc.subject.otherMass spectrometry
dc.subject.otherBotanical chemistry
dc.subject.otherFood quality control
dc.titleComparative metabolitefingerprinting of legumes using LC-MS-baseduntargeted metabolomics
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion

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