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Investigating the Factors Affecting the Optimization of Hydrogen Sulfide Gas Adsorption Parameters on the New Mips@H2s Nanoadsorbent Using the Response Surface Method Publisher



Moradirad R1 ; Asilian Mahabadi H1 ; Shahtaheri SJ2 ; Rashidi A3 ; Fakhraie S4 ; Khadem M2 ; Sajedifar J1
Authors
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Authors Affiliations
  1. 1. Department of Occupational Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
  2. 2. Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Nanotechnology Research Center, Research Institute of Petroleum Industry, Tehran, Iran
  4. 4. Chemistry Department, Yasouj University, Yasouj, Iran

Source: International Journal of Environmental Science and Technology Published:2024


Abstract

Hydrogen sulfide is produced through industrial sources such as textiles, oil and gas refineries, and paper. Exposure to high concentrations of hydrogen sulfide has caused death in industrial environments. Various methods, including adsorption, have been considered a suitable approach due to low energy consumption, lower costs, and high efficiency. In this research, the synthesis and optimization of MIPs@H2S-specific nanoadsorbent of hydrogen sulfide gas were done using the response surface method. Initially, the synthesis of MIPs\NIPs@H2S nanoadsorbent was done by the SIP method and four variables, including dose, temperature, concentration, and flow, which were decided upon utilizing RSM with central compound design. Thirty experiments were also designed to optimize the variables affecting the adsorption capacity. Besides, physical characteristics were determined by FTIR, XRD, FE-SEM, BET, and total pore volume and nitrogen adsorption. The analysis of variance indicated a linear model, while the adsorbent dosage and temperature are the most important process variables to calculate the optimal operating conditions of the process affecting the H2S adsorption capacity. The projected results of the linear correlation demonstrated excellent concurrence with the experimental observations. The optimal process variables obtained from numerical optimization were equal to the adsorbent dose of 1.32 gr, concentration of 752.2 PPM, flow of 85 ml/min, and temperature being equal to 42.5 °C. Based on the optimal conditions, the highest adsorption capacity of MIPs@H2S (61.28 mg/g = 94.7%) and NIPs@H2S (6.14 mg/g = 9.14%) was obtained. The C.C.D. method is suitable for the optimization of hydrogen sulfide adsorption experiments and improved nanoadsorbents. The contours showed that increasing the dose, concentration, and flow along with decreasing the temperature increases the adsorption capacity and efficiency. © The Author(s) under exclusive licence to Iranian Society of Environmentalists (IRSEN) and Science and Research Branch, Islamic Azad University 2024.