Preparation, characterization and catalytic performance of Pt supported on porous carbonaceous materials in the oxidation of toluene as a volatile organic compound

IF 2.1 4区 化学 Q3 CHEMISTRY, PHYSICAL Progress in Reaction Kinetics and Mechanism Pub Date : 2020-05-01 DOI:10.1177/1468678319887931
Niloofar Atashi, M. H. Peyrovi, N. Parsafard
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引用次数: 3

Abstract

Platinum-carbonaceous catalysts were prepared by the wet impregnation method and tested for catalytic oxidation of toluene as a volatile organic compound. The textural properties of the constructed catalysts were considered by X-ray diffraction, X-ray fluorescence, inductively coupled plasma – optical emission spectroscopy, Fourier transform infrared, scanning electron microscope and N2 adsorption–desorption analysis. The catalytic assessments showed that the best activity (>99%) and high stability and selectivity to CO2 (>99%) are related to platinum-supported carbon nanotube. The curves of the conversion and selectivity demonstrate that the performance of catalysts to eliminate the volatile organic compound and turn it into CO2 conforms to the following descending order: platinum-supported carbon nanotube >platinum-supported graphene >platinum-supported activated carbon >platinum-supported carbon nanofibre. The kinetic of toluene oxidation has been evaluated as a function of toluene and oxygen partial pressures in different temperatures. Two kinetic models (Power Law and Mars–van Krevelen mechanisms) were applied to the reaction and compared with the experimental data. Mars–van Krevelen model is more appropriate than the Power Law model for this reaction as Mars–van Krevelen model showed better prediction of the behaviour of the reaction.
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多孔碳质材料负载Pt在挥发性有机物甲苯氧化中的制备、表征及催化性能
采用湿浸渍法制备了铂碳系催化剂,并对挥发性有机物甲苯进行了催化氧化试验。通过x射线衍射、x射线荧光、电感耦合等离子体-发射光谱、傅里叶变换红外、扫描电镜和N2吸附-脱附分析对所构建催化剂的结构进行了表征。结果表明,铂负载碳纳米管的催化活性最高(>99%),对CO2的选择性和稳定性最高(>99%)。转化率和选择性曲线表明,催化剂对挥发性有机化合物的去除率和转化为CO2的性能依次为:铂负载碳纳米管>铂负载石墨烯>铂负载活性炭>铂负载碳纳米纤维。在不同温度下,甲苯氧化动力学作为甲苯和氧分压的函数进行了评价。采用幂定律和Mars-van Krevelen两种动力学模型对反应进行了分析,并与实验数据进行了比较。Mars-van Krevelen模型比幂定律模型更适合于该反应,因为Mars-van Krevelen模型能更好地预测反应的行为。
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来源期刊
CiteScore
2.10
自引率
0.00%
发文量
5
审稿时长
2.3 months
期刊介绍: The journal covers the fields of kinetics and mechanisms of chemical processes in the gas phase and solution of both simple and complex systems.
期刊最新文献
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