Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis
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 ana...
| Main Authors: | , , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | Inglés |
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International Association for Cereal Science and Technology
2021
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| Online Access: | https://hdl.handle.net/20.500.12955/1534 |
| _version_ | 1855028508262137856 |
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| author | Cabanillas, Billy Espichán, Fabio Estrada Zúniga, Rigoberto Neyra Valdez, Edgar Rojas, R. |
| author_browse | Cabanillas, Billy Espichán, Fabio Estrada Zúniga, Rigoberto Neyra Valdez, Edgar Rojas, R. |
| author_facet | Cabanillas, Billy Espichán, Fabio Estrada Zúniga, Rigoberto Neyra Valdez, Edgar Rojas, R. |
| author_sort | Cabanillas, Billy |
| collection | Repositorio INIA |
| description | 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 |
| format | info:eu-repo/semantics/article |
| id | INIA1534 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | International Association for Cereal Science and Technology |
| publisherStr | International Association for Cereal Science and Technology |
| record_format | dspace |
| spelling | INIA15342022-11-21T20:11:08Z Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis Cabanillas, Billy Espichán, Fabio Estrada Zúniga, Rigoberto Neyra Valdez, Edgar Rojas, R. Chenopodium quinoa Metabolomic profile Principal component análisis UHPLC-MS https://purl.org/pe-repo/ocde/ford#4.04.00 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 2021-11-16T17:17:42Z 2021-11-16T17:17:42Z 2021-09 info:eu-repo/semantics/article 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. . https://hdl.handle.net/20.500.12955/1534 Journal of Cereal Science eng Journal of Cereal Science. Volume 101. September 2021 https://doi.org/10.1016/j.jcs.2021.103307 https://doi.org/10.1016/j.jcs.2021.103307 info:eu-repo/semantics/closedAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ other Perú International Association for Cereal Science and Technology - Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Chenopodium quinoa Metabolomic profile Principal component análisis UHPLC-MS https://purl.org/pe-repo/ocde/ford#4.04.00 Cabanillas, Billy Espichán, Fabio Estrada Zúniga, Rigoberto Neyra Valdez, Edgar Rojas, R. Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis |
| title | Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis |
| title_full | Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis |
| title_fullStr | Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis |
| title_full_unstemmed | Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis |
| title_short | Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis |
| title_sort | metabolomic profile and discrimination of white quinoa seeds from peru based on uhplc hrms and multivariate analysis |
| topic | Chenopodium quinoa Metabolomic profile Principal component análisis UHPLC-MS https://purl.org/pe-repo/ocde/ford#4.04.00 |
| url | https://hdl.handle.net/20.500.12955/1534 |
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