Ritu Verma¹, Pranshul Sethi², Sonali Rastogi³, Vinayak Sahebrao Mundhe⁴, Rajesh KS⁵, Saurabh Mishra⁶, Mayur Rajendra Bhurat⁷, Prasanthi Samathoti^8*

¹Principal, Venkateshwara Institute of Pharmacy, Department of Pharmacology, Venkateshwara Group of Institutions Jatoli, Meerut, Uttar Pradesh, India

²Assistant Professor, Department of Pharmacology, College of Pharmacy, Shri Venkateshwara University affiliation, Gajraula, India

³Assistant Professor, Department of Pharmacy, Venkateshwara group of institutions, Nh- 58, Delhi- Roorkee, Bye Pass Road, Jatoli, Meerut (U.P.), India

⁴Dr. Vedprakash Patil Pharmacy College,Chhatrapati Sambhajinagar Maharashtra 431005, India

⁵Department of Pharmacology, Nitte (Deemed to be University), NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Mangaluru, India

⁶Amity University, Malhaur Railway Station Road, Gomti Nagar, Lucknow, Nijampur Malhaur, Uttar Pradesh 226010, India

⁷Principal, Shri Prakashchand Jain college of pharmacy and research, Palaas Kheda, Maharashtra 424206, India

⁸Associate Professor, Department of Pharmaceutics, MB school of pharmaceutical sciences (Erastwhile Sree Vidyanikethan college of pharmacy), Mohan Babu University, Sree sainathnagar, A.Rangampet, Tirupati, Andhra Pradesh – 517102, India

* Address    for  Correspondence:

Prasanthi Samathoti, Associate Professor, Department of Pharmaceutics, MB school of pharmaceutical sciences (Erastwhile Sree Vidyanikethan college of pharmacy), Mohan Babu University, Sree sainathnagar, A.Rangampet, Tirupati, Andhra Pradesh – 517102, India

Abstract

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.

Keywords  Statistical design, nanosponges, solubility, nano drug delivery

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