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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier Inc.
2018
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/23776/1/Dataset%20on%20LC-Q-TOFMS%20tentative%20identification%20of%20phytochemicals.pdf |
| _version_ | 1825812503511171072 |
|---|---|
| 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 |
| collection | UMP |
| 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 These data are the unpublished supplementary materials related to “Ethanolic extraction of bioactive compounds from V. amygdalina leaf using response surface methodology as an optimization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). |
| first_indexed | 2024-03-06T12:30:08Z |
| format | Article |
| id | UMPir23776 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:30:08Z |
| publishDate | 2018 |
| publisher | Elsevier Inc. |
| record_format | dspace |
| spelling | UMPir237762020-02-28T08:01:19Z 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. (Published) https://doi.org/10.1016/j.dib.2018.10.159 https://doi.org/10.1016/j.dib.2018.10.159 |
| 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 |
| 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 | TP Chemical technology |
| url | http://umpir.ump.edu.my/id/eprint/23776/1/Dataset%20on%20LC-Q-TOFMS%20tentative%20identification%20of%20phytochemicals.pdf |
| work_keys_str_mv | AT alaraoluwaseunruth datasetonlcqtofmstentativeidentificationofphytochemicalsintheextractofvernoniaamygdalinaleafthroughpositiveionization AT nourah datasetonlcqtofmstentativeidentificationofphytochemicalsintheextractofvernoniaamygdalinaleafthroughpositiveionization AT ukaegbuchinonsoishmael datasetonlcqtofmstentativeidentificationofphytochemicalsintheextractofvernoniaamygdalinaleafthroughpositiveionization AT zulkaflihassan datasetonlcqtofmstentativeidentificationofphytochemicalsintheextractofvernoniaamygdalinaleafthroughpositiveionization AT kabbashinassereldeenahmed datasetonlcqtofmstentativeidentificationofphytochemicalsintheextractofvernoniaamygdalinaleafthroughpositiveionization |