The Utilization of Response Surface Methodology (RSM) In the Optimization of Diclofenac Sodium (DS) Liposomes Formulate through the Thin Film Hydration (TFH) Technique with Involving Computational Method

Pal, Rahul and Pandey, Prachi and Rizwan, Mohammad and Koli, Manju and Arushi, . and Thakur, Shiva Kant and Malakar, Raj Kumar and Gupta, Himangi and Khadam, Vinay Kumar Rao and Chawra, Himmat Singh (2023) The Utilization of Response Surface Methodology (RSM) In the Optimization of Diclofenac Sodium (DS) Liposomes Formulate through the Thin Film Hydration (TFH) Technique with Involving Computational Method. Journal of Advances in Medicine and Medical Research, 35 (22). pp. 287-300. ISSN 2456-8899

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Abstract

Objectives: The objective of the current studies to enhance the formulation of DS-loaded liposomes through the utilization of Response surface methodology (RSM) and involving the computation approach for their validation.

Methods: The optimization of DS-loaded liposomes was conducted using RSM, focusing of 2 main key parameters including encapsulation efficiency (% EE) and In-vitro drug release (% DR) for 12 hours via involving QbD. To formulate an optimize liposome formulation utilizing a 32 factorial design, with the phospholipid and cholesterol (CH) concentrations being the chosen independent variables. Nine formulations of DS-loaded liposomes were prepared using the TFH technique. The % EE, drug content, and in vitro release studies were assessed utilizing an Ultra Violet (UV)-visible spectrophotometer for λmax-275 nm. The evaluation included zeta potential, vesicle characterization, particle size and polydispersity index (PDI) of the best optimized DS formulation were evaluated. Lastly the involvement of computational tools, such as molecular dynamics simulations docking with COX-2 active site via Y385.

Results: The regression equations using RSM revealed that the phospholipid and CH molar concentration were significant variables in optimizing the percentage of % EE and percentage of drug release (% DR), with estimated coefficient values. The % EE was found to be 83.55±0.29, while the % DR was 71.22±0.34. The assumption of % DR and % EE values showed low % relative errors (PRE) of 0.069% and -0.194% respectively. The result shows that the design-developed model is appropriate for DS formulations and validates the model.

Conclusion: Investigational outcome represents the perceived responses were in related with the desired values and this represents the relationship of the RSM for optimization of % DR and % EE in DS loaded liposomal preparations.

Item Type: Article
Subjects: Science Repository > Medical Science
Depositing User: Managing Editor
Date Deposited: 30 Oct 2023 05:37
Last Modified: 30 Oct 2023 05:37
URI: http://research.manuscritpub.com/id/eprint/3240

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