Title: Assessment and validation of emulgel-based salicylic acid formulation development for drug release and optimisation by statistical design

Authors: Ch. Taraka Ramarao; Ishwarya Bammidi; Manasa Banala; Kundansai Balaga; Pavani Cheekati; Yamani Busa

Addresses: Department of Pharmaceutics, Sri Venkateswara College of Pharmacy, Etchrela, Srikakulam, Andhra Pradesh, 532410, India ' Department of Pharmaceutics, Sri Venkateswara College of Pharmacy, Etchrela, Srikakulam, Andhra Pradesh, 532410, India ' Department of Pharmaceutics, Sri Venkateswara College of Pharmacy, Etchrela, Srikakulam, Andhra Pradesh, 532410, India ' Department of Pharmaceutics, Sri Venkateswara College of Pharmacy, Etchrela, Srikakulam, Andhra Pradesh, 532410, India ' Department of Pharmaceutics, Sri Venkateswara College of Pharmacy, Etchrela, Srikakulam, Andhra Pradesh, 532410, India ' Department of Pharmaceutics, Sri Venkateswara College of Pharmacy, Etchrela, Srikakulam, Andhra Pradesh, 532410, India

Abstract: Salicylic acid is used topically to treat a variety of skin problems, such as acne, dandruff, psoriasis, seborrheic dermatitis, calluses, corns and warts. The effects of Methocel K100 LV, Cetostearyl alcohol and Span80 independent variables on the drug release of emulgel utilised to create design expert software. The formulations of three underwent testing for physical characteristics, spreadability, washability, skin irritability, agar plate diffusion and drug release. When comparing S7 to the commercial product (Salicylix SF12), a considerable contribution was discovered. The design expert was utilised to determine the effects of the three aspects individually and collectively. There was a significant as indicated by the analysis of variance results (p < 0.05). The formulation variables need to be controlled to produce an emulgel with the necessary performance qualities. The predictability and validity of the model were demonstrated when the experimental results matched the predicted values.

Keywords: emulgel; Salicylix SF12; ex vivo; agar plate diffusion; design expert.

DOI: 10.1504/IJCBDD.2023.134615

International Journal of Computational Biology and Drug Design, 2023 Vol.15 No.6, pp.463 - 479

Received: 13 Sep 2022
Accepted: 28 Feb 2023
Published online: 31 Oct 2023 *

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