Response Surface Methodology Application in Optimization of Oily Wastewater Treatment by Sargassum latifolium

Abstract

Response surface methodology (RSM) and Box-Behnken (BB) statistical experiment design were developed to study the optimization of oily wastewater treatment using Sargassum latifolium. The characterization of the Sargassum latifolium was studied using fourier transform infrared spectroscopy (FTIR), scanning electron microscope (SEM), N 2 adsorption/ desorption, and Raman techniques. These studies demonstrated the importance of various functional groups such as carbonyl, amino, carboxyl, and hydroxyl on adsorption mechanism. The specific surface area of S. latifolium was 111.65m 2 / g. Scanning electron microscope (SEM) showed that the interaction of S. latifolium with oil led to the development of flakelike deposits on its surface, causing the surface to become uneven. Four process-independent parameters, including contact time, oil volume, adsorbent dosage, and pH were optimized for the best response of crude oil adsorption using Box-Behnken design. The output was summarized for an additional ANOVA analysis. Optimization conditions for crude oil adsorption onto Sargassum Latifolium were found to be at an adsorbent dose of 0.13g, oil volume of 24.29ml, time of 57.44 minutes, and initial pH of 9.54. Langmuir and Freundlich isotherm models were used to apply equilibrium analysis. The results suggest that the Langmuir model better fits the experimental data compared to the Freundlich model. The experimental results showed that the crude oil adsorption capacity onto Sargassum latifolium was 45.87gm under ideal conditions, which was somewhat lower than the RSM model's value of 46.14gm.