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DHARA is an online index of articles on Ayurveda published in research journals worldwide.
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Journal of Ayurveda and Integrative medicine
2018
Oct
:0
A rapid HPTLC method to estimate piperine in Ayurvedic formulations containing plant ingredients of Piperaceae family.
Hazra Alok K AK (1)
,
Chakraborty Banti B (1)
,
Mitra Achintya A (2)
,
Sur Tapas Kumar TK (3)
1. Division of Pharmaceutical Chemistry, R.K.M.A Quality Testing Laboratory, Kolkata, 700103, India. 2. National Research Institute of Ayurvedic Drug Development, CCRAS, Kolkata, 700091, India. 3. Department of Pharmacology, I.P.G.M.E & R, Kolkata, 700020, India. Electronic address: drtapaskumarsur@gmail.com.
Abstract
Trikatu, Sitopaladi, Hingavastaka, Avipattikara, Sringyadi and Talisadya are very popular Ayurvedic (churna) medicines practiced in India; however, unfortunately, they possess several quality control issues.The aim of this study was to find out a simple, accurate and sensitive HPTLC method for the detection and quantification of marker molecule, piperine (alkaloid) on these Ayurvedic formulations for standardization.Methanolic extraction (reflux) was performed from the above six churnas as well as three single ingredients Piper longum (pipul), Piper nigrum (marich) and Piper chaba (chai). HPTLC was done using piperine as a standard. The mobile phase was a mixture of toluene-ethyl acetate (7:3, v/v) and detection at 342?.The Rf was detected at 0.39. Piperine was quantified in all samples. P. nigrum showed higher piperine than P. longum and P. chaba. The maximum piperine was noted in Hingavastaka churna and followed by Sringyadi churna, Sitopaladi churna, Talisadya churna, Trikatu churna and Avipattikara churna.This method can be successfully employed for standardization and quantitative analysis of piperine in Ayurvedic formulations (churnas) and also be helpful to clinicians and pharmacists to draw significant role of piperine present in all these samples.Copyright © 2017 Transdisciplinary University, Bangalore and World Ayurveda Foundation. Published by Elsevier B.V. All rights reserved.
DHARA ID:
D056833
Pubmed ID:
30318249
Access to Full Paper Not Available
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