Preparation, Characterization, Optimization, and Stability Studies of Aceclofenac Proniosomes

Authors

Ajay Solanki1,*, Jolly Parikh1, Rajesh Parikh2
1Department of Pharmaceutics and Pharmaceutical Technology, A. R. College of Pharmacy and G. H. Patel Institute of Pharmacy, P.O. Box 19, Vallabh Vidyanagar-388 120 Gujarat, India
2-
*Corresponding Author: Department of Pharmaceutics and Pharmaceutical Technology, A. R. College of Pharmacy and G. H. Patel Institute of Pharmacy, P.O. Box 19, Vallabh Vidyanagar-388 120 Gujarat, India. Email:[email protected]

Iranian Journal of Pharmaceutical Research:Vol. 7, issue 4; 237-246
Published online:Nov 20, 2010
Article type:Research Article
Received:Dec 01, 2007
Accepted:Jun 01, 2008
How to Cite:Solanki A, Parikh J, Parikh R. Preparation, Characterization, Optimization, and Stability Studies of Aceclofenac Proniosomes. Iran J Pharm Res. 2022;7(4):e128598. doi: https://doi.org/10.22037/ijpr.2010.772

Abstract

The aim of this investigation was to prepare, characterize and optimize the aceclofenac proniosomes using central composite design and carry out stability studies. Three independent variables selected were molar ratio of drug to lipid (X1), surfactant loading (X2) and volume of hydration (X3). Based on central composite design, 16 batches of proniosomes were prepared by slurry method and evaluated for the percentage drug entrapment (PDE) and mean volume diameter (MVD). The PDE and MVD (dependent variables) and the transformed values of independent variables were subjected to multiple regressions to establish a second order polynomial equation. Contour plots were constructed to further elucidate the relationship between the independent and dependent variables. The conformity of the polynomial equations was checked by preparing three checkpoint batches. From the computer optimization process and contour plots, predicted levels of independent variables X1, X2, and X3 (-0.77, -0.8 and 0 respectively), for an optimum response of PDE with constraints on MVD were determined. The optimized batch was subjected to stability studies. The polynomial equations and contour plots developed using central composite design allowed us to prepare proniosomes with optimum responses. Proniosomes stored refrigerated and at room temperature, were both found to be stable.

Highlights

Copyright

© 2022, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

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