To attain the best possible EE% and DR profile, which are among the major characteristics of a drug carrier in achieving the desired therapeutic result, an experimental design was used to evaluate the precise effects of the independent variables. Based on the preliminary studies and literature review (
11,
32-
35), three formulation parameters, including Chol/EPC ratio, neutral lipid proportion (TO%), and L/D ratio, were considered the independent factors (Appendix 1). The EE% and release data (DR% at 6 hours, as initial rapid release, and DR% at 72 hours) of the prepared formulations were considered the response variables. The results were analyzed using ANOVA, and the statistical significance of each response coefficient was then determined using a Pareto chart. In a Pareto chart, the coefficients with a
t-value of effect above the Bonferroni threshold are considered certainly significant; those between two thresholds are considered probably significant; those below the
t-value threshold are statistically insignificant and should be excluded from the analysis (
36). As causality cannot be inferred from observational data alone, a typical strategy is observing the system’s response to a collection of localized perturbations and reconstructing a directed interaction network from data (
37). In perturbation plots, each response is depicted by changing only one parameter along its range while keeping all other parameters unchanged.