HIGH-PERFORMANCE THIN LAYER CHROMATOGRAPHY (HPTLC) FINGERPRINTING PATTERN OF MANGROVE AVICENNIA MARINA
Journal Title: International Journal of Pharmacy and Pharmaceutical Sciences - Year 2017, Vol 9, Issue 4
Abstract
Objective: An attempt has been made to study phytoconstituents and High-Performance Thin Layer Chromatography (HPTLC) fingerprinting pattern of leaf/stem/root methanol extracts of Avicennia marina.Methods: The phytochemical screening was done by standard biochemical methods and standard optimized HPTLC densitometry determination was performed under two different energy zones [under UV-254 nm and under 540 nm after derivatization at sample size-10 µl, temperature = 25.8±0.3 °C (constant) and relative humidity = 86±1% (constant) in optimized solvent system].Results: Phytochemical analysis confirmed the presence of phytochemicals in the leaf, stem, and root of the plant. Under UV–254 nm energy range, the leaf, stem and root extract showed the presence of 8, 6 and 5 components respectively and under 540 nm energy zone after derivatization, the leaf, stem and root extract revealed the presence of 7, 5 and 5 components, respectively and specific marker components with very high concentration (under UV-254 nm; 3, 2, 2 in leaf, stem, and root respectively and under 540 nm after ASR treatment; 2, 1, 2 in leaf, stem, and root respectively) were detected among them.Conclusion: The preliminary phytochemical test results elucidated Avicennia marina leaf, stem, and root as a hug reservoir of various class of phytochemicals and metabolites. The results obtained by HPTLC fingerprinting method found to be acceptable as a quick, reliable, accurate and economical for identification and authentication of Avicennia marina mangrove plant and useful to differentiate this mangrove species from other similar mangroves, in a single TLC plate run. This serves as a biochemical marker pattern for leaf, stem and root parts of this mangrove and for its diverse phytoconstituents.
Authors and Affiliations
Vinars Dawane, M. H. Fulekar
Keywords
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- EP ID EP575682
- DOI 10.22159/ijpps.2017v9i4.16480
- Views 93
- Downloads 0
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