Abstract

Abstract : The aim of this present research is to optimize the catechin-soya phosphatidylcholine (SPC) complexes using the formulation optimizer “Design Expert” program v.12.0, in which three essential factors (complexation intensity, entrapment effectiveness, and drug release) were considered for deciding the most optimized ratio using the factorial arithmetic. While performing the optimization process, following build information (quadratic design model, 3-level factorial, randomized 13 runs, no blocks, and build time 9 ms), factor (minimum of -1 and maximum of +1), and response (polynomial analysis) were taken as input. Following graphs were obtained which provided the data regarding: Residual vs. Predicted, Residual vs. Run, Residual vs. Drug concentration, Cook’s Distance, Predicted vs. Actual, Box-Cox plot, Leverage vs. Run, Standard error, DFFITS vs. Run, Overlay, DFBETAS vs. Run, normal plot of residuals, Interaction, Perturbation, etc., which are representative of all the 3 factors (referred to as independent variables). With a strong prediction score of 77.4539 (for complexation rate), 76.3879 (for entrapment efficacy), and 80.8669 (for drug release), the desirability factor was found to be perfectly 1. The results of this in silico study undoubtedly produced the best-optimized ratio for developing catechin complexes with SPC, which has enormous potential for further developing therapeutically active phytosomes formulations.