Synthesis of 2D-porous MoS2 as a nanocatalyst for oxidative desulfurization of sour gas condensate: Process parameters optimization based on the Levenberg–Marquardt algorithm

Abstract

In this research, two-dimensional porous MoS2 nanostructure (2D-PMNS) could be effectively exfoliated from bulk material by the sonication-assisted polyvinyl alcohol (PVA) intercalation. These synthesized nanocatalysts were characterized by BET, TPD-NH3, SEM, AFM, STEM, HRTEM, UV/Vis, PL, and Raman spectrum. The results show that 2D-PMNS with 70.87 m2.g−1 surface area and 0.08 cm3.g−1pore volume which potentially might increase the oxidation desulfurization performance. The obtained nanocatalysts were used for the oxidation desulfurization process (ODS) of the sour gas condensate. The Levenberg model based on Levenberg–Marquardt algorithm (LM) was utilized to evaluate and predict the effects of various important parameters (temperature, time, catalyst dosage and hydrogen peroxide) in ODS, to determine optimum conditions. By comparison of experimental data with simulation results, it can be found that the model fitted well with experimental results. Also, combined the separate equations and drove new equations for study the simultaneous effect of all parameters in ODS. The optimum values (93.44%) were extracted from numerical results, for removal of sulfur compounds were found to be 75 °C, 3 wt% H2O2, 0.2 wt% 2D-PMNS in a time of 2 h. Moreover, the reusability of 2D-PMNS was also tested and it was confirmed that 2D-PMNS has an excellent reused performance for ten periods of recycling without a discernible decrease in its activity.