Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization

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...

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Main Authors: Alara, Oluwaseun Ruth, Nour, A. H., Ukaegbu, Chinonso Ishmael, Zulkafli, Hassan, Kabbashi, Nassereldeen Ahmed
Format: Article
Language:English
Published: Elsevier Inc. 2018
Subjects:
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/23776/
http://umpir.ump.edu.my/id/eprint/23776/
http://umpir.ump.edu.my/id/eprint/23776/
http://umpir.ump.edu.my/id/eprint/23776/1/Dataset%20on%20LC-Q-TOFMS%20tentative%20identification%20of%20phytochemicals.pdf
id ump-23776
recordtype eprints
spelling ump-237762020-02-28T08:01:19Z http://umpir.ump.edu.my/id/eprint/23776/ Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization Alara, Oluwaseun Ruth Nour, A. H. Ukaegbu, Chinonso Ishmael Zulkafli, Hassan Kabbashi, Nassereldeen Ahmed TP Chemical technology 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 These data are the unpublished supplementary materials related to “Ethanolic extraction of bioactive compounds from V. amygdalina leaf using response surface methodology as an optimization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 Inc. 2018 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/23776/1/Dataset%20on%20LC-Q-TOFMS%20tentative%20identification%20of%20phytochemicals.pdf Alara, Oluwaseun Ruth and Nour, A. H. and Ukaegbu, Chinonso Ishmael and Zulkafli, Hassan and Kabbashi, Nassereldeen Ahmed (2018) Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization. Data in Brief, 21. pp. 1686-1689. ISSN 2352-3409 https://doi.org/10.1016/j.dib.2018.10.159 https://doi.org/10.1016/j.dib.2018.10.159
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Alara, Oluwaseun Ruth
Nour, A. H.
Ukaegbu, Chinonso Ishmael
Zulkafli, Hassan
Kabbashi, Nassereldeen Ahmed
Dataset on LC-Q-TOF/MS tentative identification of phytochemicals in the extract of Vernonia amygdalina leaf through positive ionization
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 Article
author Alara, Oluwaseun Ruth
Nour, A. H.
Ukaegbu, Chinonso Ishmael
Zulkafli, Hassan
Kabbashi, Nassereldeen Ahmed
author_facet Alara, Oluwaseun Ruth
Nour, A. H.
Ukaegbu, Chinonso Ishmael
Zulkafli, Hassan
Kabbashi, Nassereldeen Ahmed
author_sort Alara, Oluwaseun Ruth
title 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_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_sort dataset on lc-q-tof/ms tentative identification of phytochemicals in the extract of vernonia amygdalina leaf through positive ionization
publisher Elsevier Inc.
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/23776/
http://umpir.ump.edu.my/id/eprint/23776/
http://umpir.ump.edu.my/id/eprint/23776/
http://umpir.ump.edu.my/id/eprint/23776/1/Dataset%20on%20LC-Q-TOFMS%20tentative%20identification%20of%20phytochemicals.pdf
first_indexed 2023-09-18T22:35:46Z
last_indexed 2023-09-18T22:35:46Z
_version_ 1777416584509259776

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