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| Naji, M. |
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| Ertürk, Emre |
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| Petrov, R. H. | Madrid |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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Kumar, Vikash
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Publications (5/5 displayed)
- 2024Biogenic Bovine Serum Albumin/Zn<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub>/Cr<sub>2</sub>O<sub>3</sub> hybrid electrocatalyst for improved oxygen evolution reactioncitations
- 2023The Utilization of (3^2) Full Factorial Design (FFD) for Optimization of Lincomycin Hydrochloride (LNH) Loaded Nanogel Involving; Design of Experiments (DoE) an Advanced Approachcitations
- 2021Sulfonated polyvinylidene fluoride-crosslinked-aniline-2-sulfonic acid as ion exchange membrane in single-chambered microbial fuel cellcitations
- 2019Deposition of Ni–NiO nanoparticles on the reduced graphene oxide filled polypyrrole: evaluation as cathode catalyst in microbial fuel cellscitations
- 2016Impact of Temperature Variation on Resonant Frequency of Active Grounded Inductor-Based Bandpass Filtercitations
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article
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
Abstract
<jats:p>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.</jats:p>