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Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis

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dc.contributor.author Cabanillas Amado, Billy Joel
dc.contributor.author Espichán, Fabio
dc.contributor.author Estrada, Rigoberto
dc.contributor.author Neyra Valdez, Lidio Edgar
dc.contributor.author Rojas, Rosario
dc.date.accessioned 2022-03-24T21:47:43Z
dc.date.available 2022-03-24T21:47:43Z
dc.date.issued 2021
dc.identifier.uri https://hdl.handle.net/20.500.12866/11507
dc.description.abstract In the present work, an untargeted metabolomic approach based on ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC–HRMS) was performed for the discrimination of 25 accessions of white quinoa from main production zones of Peru. From the fingerprint analysis, a total of eighty-four metabolites were tentatively identified based on their accurate mass measurements and MS/MS data. Among them, forty-six compounds are reported here for the first time in C. quinoa (eight phenolics, one ecdysteroid, and thirty-seven saponins), twenty-four of them would correspond to new structures. Principal component analysis (PCA) and orthogonal partial least square discriminant analysis (OPLS-DA) were used to analyze the metabolomic data. As a result, the samples were distributed into two groups. The compounds contributing to the differences between these groups were identified by S-plot analysis. en_US
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartofseries Journal of Cereal Science
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Chenopodium quinoa en_US
dc.subject Metabolomic profile en_US
dc.subject UHPLC-MS en_US
dc.subject Principal component analysis en_US
dc.title Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1016/j.jcs.2021.103307
dc.relation.issn 0733-5210


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