Saudi Pharmaceutical Journal

Saudi Pharmaceutical Journal

Volume 28, Issue 12, December 2020, Pages 1704-1718
Saudi Pharmaceutical Journal

Original article
Hydrogel-based matrices for controlled drug delivery of etamsylate: Prediction of in-vivo plasma profiles

https://doi.org/10.1016/j.jsps.2020.10.016Get rights and content
Under a Creative Commons license
open access

Abstract

Objectives

To design oral controlled release (CR) hydrogel matrix tablets of etamsylate using various hydrophilic polymers. Additionally, to predict plasma concentration-time profiles of etamsylate released from different CR matrices.

Methods

Characterization of the in-vitro release rate was performed by various model dependent and model independent approaches. A simple numerical convolution strategy was adopted to predict the in-vivo performance of all matrices from their in-vitro percent released data. The statistical analysis was conducted utilizing a student t-test and ANOVA.

Results

The release of etamsylate from all matrices showed a deviation from Fickian transport mechanism except; F2 followed Case II release whereas, F9 and F11 obeyed Fickian diffusion. CR hydrogel based-matrices (F4 and F11) demonstrated the maximum drug retardation and satisfied the USP release limits. Concentration–time profiles of etamsylate were predicted successfully from the in-vitro release data of all prepared matrices. Pharmacokinetic parameters of etamsylate CR hydrogel matrices were significantly changed with comparison to reference product except F1.

Conclusion

The designed (F2-F11) matrices had the capability to extend the plasma level of etamsylate for an adequate time. However, F4 and F11 were considered the most ideal formulations for once daily application of etamsylate. The prediction of in-vivo pharmacokinetics of etamsylate was very useful to assess the rationality of the designed matrices for the practical application in humans.

Keywords

Etamsylate
Controlled release
In-vitro drug release
In-vivo prediction
Convolution

Cited by (0)

Peer review under responsibility of King Saud University.