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LCMS dataset on compounds in Syzygium polyanthum (Wight) Walp. leaves variant from the East coast of Peninsular Malaysia

Authors :
T.A. Faiz T. Anuar
Azlini Ismail
Izzat Fahimuddin Mohamed Suffian
Azzmer Azzar Abdul Hamid
Mohd Hafiz Arzmi
Muhammad Nor Omar
Source :
Data in Brief, Vol 39, Iss , Pp 107485- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

The data presented here is the liquid chromatography and mass spectrometry (LC-MS) profile of phytochemical compounds in the aqueous extract of Syzygium polyanthum (Wight) Walp. leaves. This plant is consumed raw and sometimes added to local dishes of people in Southeast Asia countries. Most importantly, it has ethnomedicinal values mainly in treating diabetes and hypertension, and at the same time, this plant has anti-microbial, anti-oxidant, anti-cancer, and anti-tumor properties [1]. There are chemical composition variations reported between the same species of different geographical locations, which eventually affect the plant's therapeutic potential [2,3]. This dataset represents the identified compounds for S. polyanthum (Wight) Walp. leaves, a variant collected from Kuantan, a city located in the Pahang state on the East Coast of Peninsular Malaysia. The leaves were then dried in an open-air at room temperature for three weeks, ground, and then macerated in water inside a bath-sonicator, freeze-dried, and then run using LCMS. The LCMS was run using the ultra-performance liquid chromatography equipped with an electrospray time-of-flight mass spectrometer detector, operated in a negative-ion mode. The mass spectral features from samples raw data were matched with Traditional Medicine (en) and Waters Screening libraries in the Waters UNIFIā„¢ Scientific Information System software version 1.7 (Waters, USA) for compounds identification.

Details

Language :
English
ISSN :
23523409
Volume :
39
Issue :
107485-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.09433fb42f524ee0b01857bcadfd0a1a
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2021.107485