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GC-MS Analysis and Antioxidant Activity of Organic Extracts of Psidium cattleianum Leaves
K. Sunisha1 , R. Dhivya2
Section:Research Paper, Product Type: Journal-Paper
Vol.7 ,
Issue.2 , pp.128-133, Apr-2020
Online published on Apr 30, 2020
Copyright © K. Sunisha , R. Dhivya . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: K. Sunisha , R. Dhivya, “GC-MS Analysis and Antioxidant Activity of Organic Extracts of Psidium cattleianum Leaves,” International Journal of Scientific Research in Biological Sciences, Vol.7, Issue.2, pp.128-133, 2020.
MLA Style Citation: K. Sunisha , R. Dhivya "GC-MS Analysis and Antioxidant Activity of Organic Extracts of Psidium cattleianum Leaves." International Journal of Scientific Research in Biological Sciences 7.2 (2020): 128-133.
APA Style Citation: K. Sunisha , R. Dhivya, (2020). GC-MS Analysis and Antioxidant Activity of Organic Extracts of Psidium cattleianum Leaves. International Journal of Scientific Research in Biological Sciences, 7(2), 128-133.
BibTex Style Citation:
@article{Sunisha_2020,
author = {K. Sunisha , R. Dhivya},
title = {GC-MS Analysis and Antioxidant Activity of Organic Extracts of Psidium cattleianum Leaves},
journal = {International Journal of Scientific Research in Biological Sciences},
issue_date = {4 2020},
volume = {7},
Issue = {2},
month = {4},
year = {2020},
issn = {2347-2693},
pages = {128-133},
url = {https://www.isroset.org/journal/IJSRBS/full_paper_view.php?paper_id=1868},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRBS/full_paper_view.php?paper_id=1868
TI - GC-MS Analysis and Antioxidant Activity of Organic Extracts of Psidium cattleianum Leaves
T2 - International Journal of Scientific Research in Biological Sciences
AU - K. Sunisha , R. Dhivya
PY - 2020
DA - 2020/04/30
PB - IJCSE, Indore, INDIA
SP - 128-133
IS - 2
VL - 7
SN - 2347-2693
ER -
Abstract :
Plants usually are reservoirs of organic compounds that provide definite physiological action on the body of human beings. Pharmacological activities of plants have been extensively investigated as a source of medicinal agents. For the discovery of lead compounds for use as therapeutic drugs, the active principle in medicinal plants needs to be identified. GC-MS method serves as an interesting tool for testing the amount of some active principles of herbs. Therefore, the present study was carried out to investigate the GC-MS analysis, antioxidant activity and phytochemical screening of ethanol and acetone extracts of Psidium cattleianum leaves. Compound identification of the extract was using Shimadzu GC-2010 gas chromatography coupled with QP2010 mass spectrometer. DPPH assay was applied using Quercetin as a standard to test the antioxidant activity of acetone and ethanol extract of P. cattleianum leaves. Phytochemical analysis was done by following the standard procedures. The results of GC-MS analysis stated the presence of seven major compounds in ethanol extract and twelve major compounds in the acetone extract of P. cattleianum leaf extract. The results also revealed that ethanol extract exhibited more antioxidant activity than acetone extract. When screened for phytocompounds, ethanol and acetone extract recorded the presence of significant number of secondary metabolites viz., Phenols, Flavanoids, Alkaloids, Glycosides and Quinones that were present in both the extracts. The excellent pharmacological activities of acetone and ethanol extracts of P. cattleianum leaves might be due to the presence of various phytochemicals and compounds that were identified. It may be concluded that plant products can be considered as strong candidates that contribute for the development of new leads that can provide help in combating the emerging issues of drug resistance.
Key-Words / Index Term :
Psidium; Plants extracts; Solvents; GC MS Analysis; Antioxidant; Phytochemicals
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