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https://hdl.handle.net/20.500.12955/1534
Título : | Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis |
Autor : | Cabanillas, Billy Espichán, Fabio Estrada Zúniga, Rigoberto Neyra Valdez, Edgar Rojas, R. |
Fecha de publicación : | sep-2021 |
Resumen : | 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 |
Palabras clave : | Chenopodium quinoa Metabolomic profile Principal component análisis UHPLC-MS |
Editorial : | International Association for Cereal Science and Technology |
Citación : | Cabanillas, B.; Espichán, F.; Estrada, R.; Neyra, E. & Rojas, R. (2021). Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate análisis Journal of Cereal Science. Volume 101. . |
URI : | https://hdl.handle.net/20.500.12955/1534 |
metadata.dc.relation.uri: | https://doi.org/10.1016/j.jcs.2021.103307 |
metadata.dc.subject.ocde: | https://purl.org/pe-repo/ocde/ford#4.04.00 |
Aparece en las colecciones: | Artículos científicos |
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