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g-CN/SnO纳米复合材料用于德黑兰车用汽油脱硫的动力学

Kinetics of Sulfur Removal from Tehran Vehicular Gasoline by g-CN/SnO Nanocomposite.

作者信息

Montazeri Seyed Mohammad, Sadrnezhaad Seyed Khatiboleslam

机构信息

Department of Materials Science and Engineering, Sharif University of Technology, Azadi Ave., P.O. Box 11155-9466, Tehran 145888-9694, Iran.

出版信息

ACS Omega. 2019 Aug 6;4(8):13180-13188. doi: 10.1021/acsomega.9b01191. eCollection 2019 Aug 20.

DOI:10.1021/acsomega.9b01191
PMID:31460445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6705198/
Abstract

The graphitic carbon nitride/tin oxide (g-CN/SnO) nanocomposite synthesized under microwave irradiation was used for adsorptive removal of sulfur-containing dibenzothiophene (DBT) from Tehran vehicular gasoline. High-resolution transmission electron microscopy, X-ray powder diffraction, energy dispersive X-ray spectroscopy, Brunauer-Emmett-Teller, Fourier-transform infrared spectroscopy, and field emission scanning electron microscopy techniques determined the adsorbent characteristics, and gas chromatography with a flame ionization detector determined the DBT concentration of the samples. Application of the experimental data into the solid/fluid kinetic models indicated a chemisorption control regime that increased the removal of sulfur from the commercial samples used. A pseudo-second-order reaction with the rate constant of 0.015 (g mg min) and total conversion time of 316 min described the adsorption process. Based on the real fuel results, the adsorption capacity of the g-CN/SnO adsorbent reached 10.64 mg S g adsorbent at equilibrium conditions. This value was the highest adsorption capacity obtained so far for a commercial gasoline sample. The g-CN/SnO nanocomposite could, therefore, be introduced as an inexpensive, easily obtainable adsorbent that can significantly remove the sulfur from the vehicular gasoline fuels.

摘要

采用微波辐射合成的石墨相氮化碳/氧化锡(g-CN/SnO)纳米复合材料用于吸附去除德黑兰车用汽油中的含硫二苯并噻吩(DBT)。通过高分辨率透射电子显微镜、X射线粉末衍射、能量色散X射线光谱、布鲁诺尔-埃米特-泰勒法、傅里叶变换红外光谱和场发射扫描电子显微镜技术对吸附剂特性进行了测定,并用带有火焰离子化检测器的气相色谱法测定了样品中的DBT浓度。将实验数据应用于固/液动力学模型表明,化学吸附控制机制提高了所用商业样品中硫的去除率。用速率常数为0.015(g mg⁻¹ min⁻¹)的准二级反应和总转化时间316 min描述了吸附过程。基于实际燃料结果,g-CN/SnO吸附剂在平衡条件下的吸附容量达到10.64 mg S g⁻¹吸附剂。该值是迄今为止从商业汽油样品中获得的最高吸附容量。因此,g-CN/SnO纳米复合材料可作为一种廉价、易于获得的吸附剂引入,它能显著去除车用汽油燃料中的硫。

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