R. Moradirad, H. Asilian Mahabadi, S. J. Shahtaheri, A. Rashidi, S. Fakhraie, M. Khadem, J. Sajedifar
{"title":"利用响应面法研究影响新型 MIPs@H2S 纳米吸附剂硫化氢气体吸附参数优化的因素","authors":"R. Moradirad, H. Asilian Mahabadi, S. J. Shahtaheri, A. Rashidi, S. Fakhraie, M. Khadem, J. Sajedifar","doi":"10.1007/s13762-024-05585-w","DOIUrl":null,"url":null,"abstract":"<div><p>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@H<sub>2</sub>S-specific nanoadsorbent of hydrogen sulfide gas were done using the response surface method. Initially, the synthesis of MIPs\\NIPs@H<sub>2</sub>S 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 H<sub>2</sub>S 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@H<sub>2</sub>S (61.28 mg/g = 94.7%) and NIPs@H<sub>2</sub>S (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.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"21 14","pages":"8943 - 8958"},"PeriodicalIF":3.0000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-024-05585-w.pdf","citationCount":"0","resultStr":"{\"title\":\"Investigating the factors affecting the optimization of hydrogen sulfide gas adsorption parameters on the new MIPs@H2S nanoadsorbent using the response surface method\",\"authors\":\"R. Moradirad, H. Asilian Mahabadi, S. J. Shahtaheri, A. Rashidi, S. Fakhraie, M. Khadem, J. Sajedifar\",\"doi\":\"10.1007/s13762-024-05585-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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@H<sub>2</sub>S-specific nanoadsorbent of hydrogen sulfide gas were done using the response surface method. Initially, the synthesis of MIPs\\\\NIPs@H<sub>2</sub>S 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 H<sub>2</sub>S 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@H<sub>2</sub>S (61.28 mg/g = 94.7%) and NIPs@H<sub>2</sub>S (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. 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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
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.
期刊介绍:
International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management.
A broad outline of the journal''s scope includes: peer reviewed original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and man made.
The main aspects of research areas include, but are not exclusive to; environmental chemistry and biology, environments pollution control and abatement technology, transport and fate of pollutants in the environment, concentrations and dispersion of wastes in air, water, and soil, point and non-point sources pollution, heavy metals and organic compounds in the environment, atmospheric pollutants and trace gases, solid and hazardous waste management; soil biodegradation and bioremediation of contaminated sites; environmental impact assessment, industrial ecology, ecological and human risk assessment; improved energy management and auditing efficiency and environmental standards and criteria.