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Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization
The tentative identification of bioactive compounds in the extract of Vernonia amygdalina leaf was carried out using positive ionization of Liquid chromatography-mass spectrometry quadrupole time of flight (LC-Q-TOF/MS). The positive ionization is associated with the presence of saponins, flavonoids...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249520/ https://www.ncbi.nlm.nih.gov/pubmed/30505901 http://dx.doi.org/10.1016/j.dib.2018.10.159 |
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author | Alara, Oluwaseun Ruth Abdurahman, Nour Hamid Ukaegbu, Chinonso Ishmael Hassan, Zulkafli Kabbashi, Nassereldeen Ahmed |
author_facet | Alara, Oluwaseun Ruth Abdurahman, Nour Hamid Ukaegbu, Chinonso Ishmael Hassan, Zulkafli Kabbashi, Nassereldeen Ahmed |
author_sort | Alara, Oluwaseun Ruth |
collection | PubMed |
description | The tentative identification of bioactive compounds in the extract of Vernonia amygdalina leaf was carried out using positive ionization of Liquid chromatography-mass spectrometry quadrupole time of flight (LC-Q-TOF/MS). The positive ionization is associated with the presence of saponins, flavonoids, alkaloids, terpenoids, and glycosides. Tentative assignments of the secondary metabolites were performed by comparing the MS fragmentation patterns with Waters® UNIFY library which allows positive identification of the compounds based on the spectral match. All the metabolites compounds were estimated and presented in a BPI (Base peak intensity) plot. These data are the unpublished supplementary materials related to “Ethanolic extraction of bioactive compounds from V. amygdalina leaf using response surface methodology as an optimization tool” (Alara et al., 2018). |
format | Online Article Text |
id | pubmed-6249520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62495202018-11-30 Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization Alara, Oluwaseun Ruth Abdurahman, Nour Hamid Ukaegbu, Chinonso Ishmael Hassan, Zulkafli Kabbashi, Nassereldeen Ahmed Data Brief Chemistry The tentative identification of bioactive compounds in the extract of Vernonia amygdalina leaf was carried out using positive ionization of Liquid chromatography-mass spectrometry quadrupole time of flight (LC-Q-TOF/MS). The positive ionization is associated with the presence of saponins, flavonoids, alkaloids, terpenoids, and glycosides. Tentative assignments of the secondary metabolites were performed by comparing the MS fragmentation patterns with Waters® UNIFY library which allows positive identification of the compounds based on the spectral match. All the metabolites compounds were estimated and presented in a BPI (Base peak intensity) plot. These data are the unpublished supplementary materials related to “Ethanolic extraction of bioactive compounds from V. amygdalina leaf using response surface methodology as an optimization tool” (Alara et al., 2018). Elsevier 2018-11-03 /pmc/articles/PMC6249520/ /pubmed/30505901 http://dx.doi.org/10.1016/j.dib.2018.10.159 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Chemistry Alara, Oluwaseun Ruth Abdurahman, Nour Hamid Ukaegbu, Chinonso Ishmael Hassan, Zulkafli Kabbashi, Nassereldeen Ahmed Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization |
title | Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization |
title_full | Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization |
title_fullStr | Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization |
title_full_unstemmed | Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization |
title_short | Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization |
title_sort | dataset on lc-q-tof/ms tentative identification of phytochemicals in the extract of vernonia amygdalina leaf through positive ionization |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249520/ https://www.ncbi.nlm.nih.gov/pubmed/30505901 http://dx.doi.org/10.1016/j.dib.2018.10.159 |
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