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Optimization of paclitaxel containing pH-sensitive liposomes by 3 factor, 3 level box-behnken design

Author(s): Smita Rane1, Bala Prabhakar2
1School of Pharmacy and Technology Management, Shirpur Campus, NMIMS University, Shirpur-425 405, India 2School of Pharmacy and Technology Management, NMIMS University, Vile Parle, Mumbai-400 056, India

Correspondence Address:
Smita Rane School of Pharmacy and Technology Management, Shirpur Campus, NMIMS University, Shirpur-425 405 India E‑mail: [email protected]

The aim of this study was to investigate the combined influence of 3 independent variables in the preparation of paclitaxel containing pH-sensitive liposomes. A 3 factor, 3 levels Box-Behnken design was used to derive a second order polynomial equation and construct contour plots to predict responses. The independent variables selected were molar ratio phosphatidylcholine:diolylphosphatidylethanolamine (X 1 ), molar concentration of cholesterylhemisuccinate (X 2 ), and amount of drug (X 3 ). Fifteen batches were prepared by thin film hydration method and evaluated for percent drug entrapment, vesicle size, and pH sensitivity. The transformed values of the independent variables and the percent drug entrapment were subjected to multiple regression to establish full model second order polynomial equation. F was calculated to confirm the omission of insignificant terms from the full model equation to derive a reduced model polynomial equation to predict the dependent variables. Contour plots were constructed to show the effects of X 1 , X 2 , and X 3 on the percent drug entrapment. A model was validated for accurate prediction of the percent drug entrapment by performing checkpoint analysis. The computer optimization process and contour plots predicted the levels of independent variables X 1 , X 2 , and X 3 (0.99, -0.06, 0, respectively), for maximized response of percent drug entrapment with constraints on vesicle size and pH sensitivity.

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