This research aims to use polyamide-polysulfide nanoparticles as drug delivery systems. The amlodipine (Amlop) was used as a model to form Amlop-Polymer nanocomposites. In this work, we investigated the effect of independent variable (Polymer, Fe+3, Al+3, PH) on the dependent variable (% LE, Zeta potential, and Particle size). During the preparation stage, various quantities of polymer (0.05, 0.125, and 0.2 gm), and FeCl3 and AlCl3 (0.6, 1.5 and 2.4 gm) and pH 6, 8, and 10 with the constant amount of Amlodipine of 0.1gm were used. After obtained, these nanocomposites were characterized by Fourier Transform Infrared (FTIR) and vitro drug release study. FTIR for nanocomposite shows a functional group of drug, which indicates encapsulation of Amlodipine into composite. This nanocomposite was explored in the current study by using Minitab 18 software and numerous graphical analyses, which include half-normal plot, Pareto graph of the standardization impacts, residual plots including normal probability plots, versus order, versus Fits, Histogram, counter surface plots, and main effects and interaction plots. Therefore, results indicated that Al, Fe, Polymer, PH, Al*Al, Al*Fe, Al*PH, Fe*Polymer are statistically significant at % LE. For the particle size aspect, all eleven factors of data: Al*Fe, Al*Polymer, Polymer, PH, Al, Fe*PH, Al*Al, Al*PH, Fe*Polymer, Polymer*PH, Fe were statistically significant. In addition, there are six factors that are statistically significant on zeta potential which are PH, Al*Al, Polymer, Al, Fe, and Fe*Polymer. Results also indicated the (R2) value of LE % was 96.40%. The R2 value of Particle Size 95.65% and the R2 value of zeta potential was 99.50%. Due to the strong interaction between Amlop-Polymer with cross-linkers, we were able to create Amlop-Polymer nanocomposites with a suitable size range which was effective in carrying and preserving the drug as well as providing sustained release of encapsulated Amlop from final nanocomposite.

Development and Evaluation of Amlodipine-Polymer Nanocomposites Using Response Surface Methodology