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Pharmacognostic Evaluation and HPTLC Analysis of Multiple Phytoconstituents in Anoral Antidiabetic Polyherbal Ayurvedic Formulation

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In present scenario providing scientific evidences using modern analytical instruments and techniques is one of the most essential criteria for establishing identity purity safety and efficacy. In other words ldquoStandardizationrdquo especially with regard to polyherbal formulations comprising more than one crude drug is undoubtedly a challenging task but is need of the hour. Here we attempt to establish a set of quality control parameters for an Ayurvedic polyherbal formulation comprising twelve herbal ingredients used for management of Diabetes. Apart from establishing proximate values HPTLC technique was first time developed for simultaneous identification of phytoconstituents i.e. Curcumin Emodin Gallic acid Ellagic acid and Ascorbic acids in the formulation. Proximate values were well within the acceptable limits. This is one of its kinds as we have developed a HPTLC technique for simultaneous identification of five chief phytoconstituents in the polyherbal formulation.
Title: Pharmacognostic Evaluation and HPTLC Analysis of Multiple Phytoconstituents in Anoral Antidiabetic Polyherbal Ayurvedic Formulation
Description:
In present scenario providing scientific evidences using modern analytical instruments and techniques is one of the most essential criteria for establishing identity purity safety and efficacy.
In other words ldquoStandardizationrdquo especially with regard to polyherbal formulations comprising more than one crude drug is undoubtedly a challenging task but is need of the hour.
Here we attempt to establish a set of quality control parameters for an Ayurvedic polyherbal formulation comprising twelve herbal ingredients used for management of Diabetes.
Apart from establishing proximate values HPTLC technique was first time developed for simultaneous identification of phytoconstituents i.
e.
Curcumin Emodin Gallic acid Ellagic acid and Ascorbic acids in the formulation.
Proximate values were well within the acceptable limits.
This is one of its kinds as we have developed a HPTLC technique for simultaneous identification of five chief phytoconstituents in the polyherbal formulation.

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