DESIGN AND OPTIMIZATION OF CAPECITABINE NIOSOMES DERIVED FROM PRONIOSOMESAbstract
The aim of this investigation was to design and optimize the Capecitabine niosomes derived from proniosomes using central composite design. Two independent variables viz., the molar ratio of drug to cholesterol (X1), surfactant loading (X2) and two dependent variables viz., the percentage drug entrapment (PDE) and mean volume diameter (MVD) were selected for the study. Proniosomes were prepared by a conventional slurry method and evaluated for the percentage drug entrapment (PDE) and mean volume diameter (MVD). The PDE dependent variables and the transformed values of independent variables were subjected to multiple regressions to establish a second order polynomial equation. Contour plots were constructed to elucidate the relationship between the independent and dependent variables further. From the computer optimization process and contour plots, predicted levels of independent variables X1, X2 (-0.77, -0.8 respectively), for an optimum response of PDE with constraints on MVD were determined. The polynomial equations and contour plots developed using central composite design allowed us to prepare niosomes derived from proniosomes with optimum responses.
Srikanth *, Y. A. Kumar and C. M. Setty
Jawaharlal Nehru Technological University (JNTU), Hyderabad, Telangana, India.
27 July 2018
29 September 2018
01 October 2018
01 April 2019