Statistical Design Approach for the Formulation And Optimization of Nanosponges Using Poorly Water-soluble Candidate.

Background and objectives: Nanosponges are one of the most innovative ways to use the newest developments in nanodrugs delivery. Nanosponges can catch drugs that dissolve in water or ones that don't. This work uses statistical design to find the best nanosponges for drugs that don't dissolve easily and make them.

Material and methods: It was looked into how to statistically make the most of the effects of independent factors. The ethyl cellulose ratio and stirring rate were chosen based on how they affected the dependent variables, such as particle size and how well they were trapped. FTIR, SEM, zeta potential, entrapment efficiency, and particle size data were used to test the nanosponges that were made. Using carbopol, the best lot of nanosponges was added to the gel.

Results: Using ethyl cellulose and polyvinyl alcohol as stabilizers in the emulsion liquid diffusion method, it was possible to make drug-loaded nanosponges. It was possible to make the nanosponges composition work better by using Central Composite Design. It has been seen that making drug-filled nanosponges improves stability.

Conclusion: The study showcased the enhanced capacity of a formulation with decreased particle size and high entrapment efficiency to disseminate effectively.