mail
editor@ajptr.com
whatsapp
9409046853
logo

American Journal of PharmTech Research

Published

HPTLC FINGERPRINT PROFILE FOR QUANTITATIVE DETERMINATION OF VARIOUS PHYTOCONSTITUENTS IN ANISOMELES SPECIES

Published in October 2011 Issue 3 (Vol. 1, Issue 3, 2011)

HPTLC FINGERPRINT PROFILE FOR QUANTITATIVE DETERMINATION OF VARIOUS PHYTOCONSTITUENTS IN ANISOMELES SPECIES - Issue cover

Abstract

  In the present communication, finger print of two ethano-botanically important Anisomeles species has been developed. A sensitive and reliable densitometric High Performance Thin Layer Chromatography (HPTLC) method has been developed for the quantification of quercetin, β-sitosterol, stigmasterol, catechin and ovatodiolide present in Anisomeles indica and Anisomeles malabarica.  Chromatographic analysis was performed using methanol, chloroform, acetone and ethanol extract of these plants were developed in the different solvents such as toluene, chloroform, ethyl acetate, methanol at various proportions. Detection and quantification of all phytoconstituents was done by densitometric scanning at different wavelengths. These finger prints would be helpful in the standardization of these species.   Key words: HPTLC, Anisomeles indica, Anisomeles malabarica, phytoconstituents, standardization

Authors (3)

Yogesh V. Ushir

Department of Pharmacognosy an...

View all publications →

Krishnakant N. Patel

Department of Pharmacognosy an...

View all publications →

Navin R. Sheth

Department of Pharmaceutical S...

View all publications →

Download Article

PDF

Best for printing and citation

File size: 0.0 MB
Format: PDF

Download Article

PDF

Best for printing and citation

File size: 0.0 MB
Format: PDF

Article Information

Article ID:
AJPTR013036
Paper ID:
AJPTR-01-001575
Published Date:
2011-10-01

Article Impact

Views:5,216
Downloads:1,991

How to Cite

V., Y., & N., K. & R., N. (2011). HPTLC FINGERPRINT PROFILE FOR QUANTITATIVE DETERMINATION OF VARIOUS PHYTOCONSTITUENTS IN ANISOMELES SPECIES. American Journal of PharmTech Research, 1(3), xx-xx. https://ajptr.scholarjms.com/articles/38

Article Actions

Whatsapp