The Utilization of \(3^2\) Full Factorial Design (FFD) for Optimization of Lincomycin Hydrochloride (LNH) Loaded Nanogel Involving; Design of Experiments (DoE) an Advanced Approach
Rahul Pal *
Department of Pharmaceutics, NIMS Institute of Pharmacy, NIMS University, Jaipur, Rajasthan, 303121, India.
Prachi Pandey
Department of Pharmaceutics, NIMS Institute of Pharmacy, NIMS University, Jaipur, Rajasthan, 303121, India.
Devanand Jha
Department of Pharmacology, Dhanarua School of Nursing & Paramedics, Aryabhatta Knowledge University (AKU), Patna, 804451, India.
Prottay Dutta
Department of Pharmacy, Usha Martin University, Ranchi, Jharkhand, 835103, India.
Subhashree Sahoo
Department of Pharmacy, Usha Martin University, Ranchi, Jharkhand, 835103, India.
Rishabh Gupta
Department of Pharmacy, Jagannath University, Jaipur, Rajasthan, 303901, India.
Mohammad Rizwan
Department of Pharmaceutical Science, Sir J. C. Bose Technical Campus, Bhimtal, Kumaun University, Nainital, 263136, India.
Madhuri Sahdev Keskar
Department of Pharmaceutics, Rajgad, Dnyanpeeth's College of Pharmacy, Savitribai, Phule Pune University, Bhor, Pune, 412206, India.
Vikash Kumar
Department of Pharmaceutical Chemistry, Sai Baba Institute of Pharmaceutical, India.
Himmat Singh Chawra
Department of Pharmaceutics, NIMS Institute of Pharmacy, NIMS University, Jaipur, Rajasthan, 303121, India.
*Author to whom correspondence should be addressed.
Abstract
Objectives: The ongoing research aims to enhance the development of LNH-loaded nanogel by utilizing DoE as the computational method to statistically validate their formulation.
Methodology: In this research Chitosan used as a natural polymer and Poly (Ethylene glycol) [PEG] as a penetration or permeation enhancer. The different nanogel of LNH were synthesized using the Nanoprecipitation and Dispersion method, with variations in the drug-polymer ratio (1/0.03, 1/0.08, 1/0.12). The process parameters were carefully optimizing for enhance the efficiency of the synthesis. To achieve this, optimization studies were conducted using 3² FFD, employing the Design Expert Software Trial version 10.0.7. The total of 13 runs were generated to ensure comprehensive analysis and evaluation of the procedure. The selected independent variables included the concentration of Chitosan (R1) and Carbopol 934 (R2). The dependent variables, on the other hand, were particle size (P1), Polydispersity Index (P2), and % Drug release (P3), chosen in that order. By employing this optimization technique, one can acquire valuable information in a manner that is both efficient and cost-effective. This approach facilitates a deeper comprehension of the relationship between controllable independent variables and the performance and quality of the Nanogels being produced.
Conclusion: The nanogels containing drugs were tested for drug release, PDI, and particle size. The standardized formulation, ER12, was achieved successfully. Consequently, it was determined that LNH can be formulated as nanogels that can maintain drug release for 24 hours. This shows potential for improved drug delivery in topical treatments, surpassing the effectiveness of traditional therapy formulations.
Keywords: Design of experiments, optimization, formulations, nanogel, lincomycin, infection, antibiotics, lincosamide, response surface methodology, advance vehicles