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FORMULATION AND EVALUATION OF SELF EMULSIFYING DRUG DELIVERY SYSTEM OF SPIRONOLACTONE

Authors: Prakhar Gupta, Dr. Sayantan Mukhopadhyay;

FORMULATION AND EVALUATION OF SELF EMULSIFYING DRUG DELIVERY SYSTEM OF SPIRONOLACTONE

Abstract

The objective of present study was to develop self-emulsifying drug delivery system (SEDDS) of model drug Spironolactone. Self-emulsified formulations are in focus of recent research due to its advantages like it enhances the bioavailability of oral lipophilic drugs, reduced dosing frequency and the tendency to load both hydrophilic and lipophilic drugs. The self-emulsions were prepared by using different ratios of oil and surfactant/co- surfactant with water. The prepared self-emulsions were evaluated for emulsification time, preliminary stability indicating study, % transmission measurement and drug content. Drug content of all the prepared self-emulsions was ranged from 91.43% to 96.76 %. In-vitro permeation results revealed that 82.03%- 95.00% of drug permeate from the formulations in 80 mins. study period. The F6 was selected as the best optimised formulation. Hence it was concluded that poorly soluble drugs such as Spironolactone can be effectively formulated as SEDDS this may improve bioavailability followed by patient compliance. Keywords: Self emulsifying drug delivery system (SEDDS), Oil, Co-surfactant, Surfactant.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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