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UHPLC-HRMS/MS on untargeted metabolomics: a case study with Copaifera (Fabaceae)
Untargeted metabolomics is a powerful tool in chemical fingerprinting. It can be applied in phytochemistry to aid species identification, systematic studies and quality control of bioproducts. This approach aims to produce as much chemical information as possible, without focusing on any specific ch...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036981/ https://www.ncbi.nlm.nih.gov/pubmed/35481022 http://dx.doi.org/10.1039/d1ra03163e |
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author | Antonio, Ananda da Silva Oliveira, Davi Santos Cardoso dos Santos, Gustavo Ramalho Pereira, Henrique Marcelo Gualberto Wiedemann, Larissa Silveira Moreira da Veiga-Junior, Valdir Florêncio |
author_facet | Antonio, Ananda da Silva Oliveira, Davi Santos Cardoso dos Santos, Gustavo Ramalho Pereira, Henrique Marcelo Gualberto Wiedemann, Larissa Silveira Moreira da Veiga-Junior, Valdir Florêncio |
author_sort | Antonio, Ananda da Silva |
collection | PubMed |
description | Untargeted metabolomics is a powerful tool in chemical fingerprinting. It can be applied in phytochemistry to aid species identification, systematic studies and quality control of bioproducts. This approach aims to produce as much chemical information as possible, without focusing on any specific chemical class, thus, requiring extensive chemometric effort. This study aimed to evaluate the feasibly of an untargeted metabolomics method in phytochemistry by a study case of the Copaifera genus (Fabaceae). This genus contains significant medicinal species used worldwidely. Copaifera exploitation issues include a lack of chemical data, ambiguous species identification methods and absence of quality control for its bioproducts. Different organs of five Copaifera species were analysed by UHPLC-HRMS/MS, GNPS platform and chemometric tools. Untargeted metabolomics enabled the identification of 19 chemical markers and 29 metabolites, distinguishing each sample by species, plant organs, and biome type. Chemical markers were classified as flavonoids, terpenoids and condensed tannins. The applied method provided reliable information about species chemodiversity using fast workflow with little sampling size. The untargeted approach by UHPLC-HRMS/MS proved to be a promising tool for species identification, pharmacological prospecting and in the future for the quality control of extracts used in the manufacture of bioproducts. |
format | Online Article Text |
id | pubmed-9036981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-90369812022-04-26 UHPLC-HRMS/MS on untargeted metabolomics: a case study with Copaifera (Fabaceae) Antonio, Ananda da Silva Oliveira, Davi Santos Cardoso dos Santos, Gustavo Ramalho Pereira, Henrique Marcelo Gualberto Wiedemann, Larissa Silveira Moreira da Veiga-Junior, Valdir Florêncio RSC Adv Chemistry Untargeted metabolomics is a powerful tool in chemical fingerprinting. It can be applied in phytochemistry to aid species identification, systematic studies and quality control of bioproducts. This approach aims to produce as much chemical information as possible, without focusing on any specific chemical class, thus, requiring extensive chemometric effort. This study aimed to evaluate the feasibly of an untargeted metabolomics method in phytochemistry by a study case of the Copaifera genus (Fabaceae). This genus contains significant medicinal species used worldwidely. Copaifera exploitation issues include a lack of chemical data, ambiguous species identification methods and absence of quality control for its bioproducts. Different organs of five Copaifera species were analysed by UHPLC-HRMS/MS, GNPS platform and chemometric tools. Untargeted metabolomics enabled the identification of 19 chemical markers and 29 metabolites, distinguishing each sample by species, plant organs, and biome type. Chemical markers were classified as flavonoids, terpenoids and condensed tannins. The applied method provided reliable information about species chemodiversity using fast workflow with little sampling size. The untargeted approach by UHPLC-HRMS/MS proved to be a promising tool for species identification, pharmacological prospecting and in the future for the quality control of extracts used in the manufacture of bioproducts. The Royal Society of Chemistry 2021-07-19 /pmc/articles/PMC9036981/ /pubmed/35481022 http://dx.doi.org/10.1039/d1ra03163e Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Chemistry Antonio, Ananda da Silva Oliveira, Davi Santos Cardoso dos Santos, Gustavo Ramalho Pereira, Henrique Marcelo Gualberto Wiedemann, Larissa Silveira Moreira da Veiga-Junior, Valdir Florêncio UHPLC-HRMS/MS on untargeted metabolomics: a case study with Copaifera (Fabaceae) |
title | UHPLC-HRMS/MS on untargeted metabolomics: a case study with Copaifera (Fabaceae) |
title_full | UHPLC-HRMS/MS on untargeted metabolomics: a case study with Copaifera (Fabaceae) |
title_fullStr | UHPLC-HRMS/MS on untargeted metabolomics: a case study with Copaifera (Fabaceae) |
title_full_unstemmed | UHPLC-HRMS/MS on untargeted metabolomics: a case study with Copaifera (Fabaceae) |
title_short | UHPLC-HRMS/MS on untargeted metabolomics: a case study with Copaifera (Fabaceae) |
title_sort | uhplc-hrms/ms on untargeted metabolomics: a case study with copaifera (fabaceae) |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036981/ https://www.ncbi.nlm.nih.gov/pubmed/35481022 http://dx.doi.org/10.1039/d1ra03163e |
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