Investigation of Bioactive Compounds on Relict Endemic Ajuga relicta P. H. Davis (Lamiaceae) from Turkey
Abstract
Species belonging to genus Ajuga
(Lamiaceae) have been used to treat many diseases in traditional medicine.
The plants of the genus Ajuga have
been reported to have antifungal, antibacterial, antimycobacterial, antihypertensive,
antiplasmodial, hypoglycaemic, and larvae and insect activity. Ajuga relicta is a relict endemic plant
which grows only in Kahramanmaras. The total phenolic contents of the extracts
have been quantified with Folin Ciocalteu colorimetric method, and the
antioxidant activities of the extracts have been tested with DPPH, and FRAP.
Antimicrobial activities of plant extracts were determined by the
well-diffusion method against seven bacteria and four yeasts. Besides, the
fatty acid composition was determined in GC-MS. As a result of GC-MS analysis
of the oil obtained from the A. relicta
extracts, 21 different fatty acids were identified. The highest contents of
these fatty acids were palmitic acid (29.50%), oleic acid (23.51%), stearic
acid (9.13%) and linoleic acid (7.18%). Total phenolic value of plant extract
was 11.94 mg/g, total flavonoid amount 2.28 mg/g, FRAP value 43.53 μg/g and
DPPH value 1.63 mg/g. Antimicrobial activity experiment on a total of 11
microorganisms (seven bacteria and four yeast) showed that Ajuga extracts inhibited the growth of tested microorganisms except
Enterobacter cloacae, Candida glabrata
and Saccharomyces cerevisiae. A. relicta was
found to have high bioactive content and antimicrobial activity. The plant
extracts are rich in constant fatty acids and similar to olive oil
(palmitic-oleic-linoleic), which is well known for its health benefits in terms
of major fatty acids.
Keywords
References
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Details
Primary Language
English
Subjects
Structural Biology
Journal Section
Research Article
Authors
Ashabil Aygan
This is me
0000-0003-4936-9872
Türkiye
Publication Date
October 15, 2019
Submission Date
January 4, 2019
Acceptance Date
July 29, 2019
Published in Issue
Year 2019 Volume: 6 Number: 3
Cited By
Metabolomics‐based profiling of five Salvia L. (Lamiaceae) species using untargeted data analysis workflow
Phytochemical Analysis
https://doi.org/10.1002/pca.3423