Cargando…

Formulation of Topical Bioadhesive Gel of Aceclofenac Using 3-Level Factorial Design

The objective of this work was to develop bioadhesive topical gel of Aceclofenac with the help of response-surface approach. Experiments were performed according to a 3-level factorial design to evaluate the effects of two independent variables [amount of Poloxamer 407 (PL-407 = X(1)) and hydroxypro...

Descripción completa

Detalles Bibliográficos
Autores principales: Singh, Sanjay, Parhi, Rabinarayan, Garg, Anuj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shaheed Beheshti University of Medical Sciences 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3813046/
https://www.ncbi.nlm.nih.gov/pubmed/24250375
Descripción
Sumario:The objective of this work was to develop bioadhesive topical gel of Aceclofenac with the help of response-surface approach. Experiments were performed according to a 3-level factorial design to evaluate the effects of two independent variables [amount of Poloxamer 407 (PL-407 = X(1)) and hydroxypropylmethyl cellulose K100 M (HPMC = X(2))] on the bioadhesive character of gel, rheological property of gel (consistency index), and in-vitro drug release. The best model was selected to fit the data. Mathematical equation was generated by Design Expert® software for the model which assists in determining the effect of independent variables. Response surface plots were also generated by the software for analyzing effect of the independent variables on the response. Quadratic model was found to be the best for all the responses. Both independent variable (X(1) and X(2)) were found to have synergistic effect on bioadhesion (Y(1)) but the effect of HPMC was more pronounced than PL-407. Consistency index was enhanced by increasing the level of both independent variables. An antagonistic effect of both independent variables was found on cumulative percentage release of drug in 2 (Y(3)) and 8 h (Y(4)). Both independent variables approximately equally contributed the antagonistic effect on Y(3) whereas antagonistic effect of HPMC was more pronounced than PL-407. The effect of formulation variables on the product characteristics can be easily predicted and precisely interpreted by using a 3-level factorial experimental design and generated quadratic mathematical equations.