Vafaee Fahimeh, Mandizadeh Samira, Amiri Omid, Jahangiri Mansour, Salavati-Niasari Masoud
Faculty of Chemical, Petroleum and Gas Eng., Semnan University P. O. Box 35196-45399 Semnan Islamic Republic of Iran
Institute of Nano Science and Nano Technology, University of Kashan Kashan P. O. Box 87317-51167 I. R. Iran
RSC Adv. 2021 Jun 28;11(37):22661-22676. doi: 10.1039/d1ra02780h. eCollection 2021 Jun 25.
The kinetics, equilibrium, and statistical aspects of the sulfur removal process from hydrocarbon fuels by AFeO-silica nanocomposites (A: Ni, Mg, and Co) have been investigated in the present study. Nanocomposites were prepared the auto-combustion sol-gel method and then employed in the adsorptive desulfurization (ADS) process. Next, the prepared samples were characterized by different analytical methods including XRD, SEM, TEM, FT-IR, TGA, and BET. The contributions of conventional parameters including adsorbent dosage and contact time were then studied by central composite design (CCD) under response surface methodology (RSM). Based on the statistical investigations, optimum conditions for ADS were an adsorbent dosage of 7.82 g per 50 ml of the model fuel and a contact time of 32 min. The adsorption amounts reached 38.6 mg g for DBT. The quadratic model was applied for the analysis of variance. Based on the experimental data, the pseudo-first-order (PFO) model could explain the adsorption kinetics of the compounds. Furthermore, the Langmuir isotherm demonstrated considerable agreement with the experimental equilibrium data. According to the results, the NiFeO-SiO nanocomposite showed the best performance compared to other compounds. The sulfur removal efficiency increased from 63 to 94% upon increasing the NiFeO-SiO dosage from 3 to 9 g per 50 ml of the model fuel.
本研究考察了AFeO-二氧化硅纳米复合材料(A:Ni、Mg和Co)用于从烃类燃料中脱硫过程的动力学、平衡和统计方面。通过自燃烧溶胶-凝胶法制备纳米复合材料,然后将其用于吸附脱硫(ADS)过程。接下来,采用XRD、SEM、TEM、FT-IR、TGA和BET等不同分析方法对制备的样品进行表征。然后,在响应面法(RSM)下,通过中心复合设计(CCD)研究了吸附剂用量和接触时间等常规参数的影响。基于统计研究,ADS的最佳条件是每50 ml模型燃料中吸附剂用量为7.82 g,接触时间为32 min。DBT的吸附量达到38.6 mg/g。采用二次模型进行方差分析。基于实验数据,准一级(PFO)模型可以解释化合物的吸附动力学。此外,Langmuir等温线与实验平衡数据显示出相当的一致性。结果表明,与其他化合物相比,NiFeO-SiO纳米复合材料表现出最佳性能。当每50 ml模型燃料中NiFeO-SiO用量从3 g增加到9 g时,脱硫效率从63%提高到94%。