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

被引：18

作者：

Alara, Oluwaseun Ruth ^{[1
,3
]}

Abdurahman, Nour Hamid ^{[1
,3
]}

Ukaegbu, Chinonso Ishmael ^{[2
]}

Hassan, Zulkafli ^{[3
]}

Kabbashi, Nassereldeen Ahmed ^{[4
]}

机构：

[1] Univ Malaysia Pahang, Ctr Excellence Adv Res Fluid Flow CARIFF, Gambang 26300, Pahang, Malaysia

[2] Univ Malaysia Pahang, Fac Ind Sci & Technol, Gambang 26300, Pahang, Malaysia

[3] Univ Malaysia Pahang, Fac Chem & Nat Resources Engn, Gambang 26300, Pahang, Malaysia

[4] Int Islamic Univ Malaysia, Dept Biotechnol Engn BTE, BERC, Kulliyyah Engn KOE, Kuala Lumpur 50728, Malaysia

来源：

DATA IN BRIEF | 2018年 / 21卷

关键词：

D O I：

10.1016/j.dib.2018.10.159

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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 (R) 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 These data are the unpublished supplementary materials related to "Ethanolic extraction of bioactive compounds from V. amygdalina leaf using response surface methodology as an optimization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). (C) 2018 The Authors. Published by Elsevier Inc.

引用

页码：1686 / 1689

页数：4

共 3 条

[1] Soxhlet extraction of phenolic compounds from Vernonia cinerea leaves and its antioxidant activity [J].