hydrogenation of toluene
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Ceramics ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 667-680
Author(s):  
Marta Dobrosielska ◽  
Michał Zieliński ◽  
Miłosz Frydrych ◽  
Mariusz Pietrowski ◽  
Piotr Marciniak ◽  
...  

Al2O3-TiO2 systems with Ti:Al 0.1, 0.5 and 1.0 molar ratio obtained by the sol–gel method have been used as a platinum support. As a precursor of alumina gel, aluminum isopropoxide has been chosen. Titanium tert-butoxylate was applied to obtain titania gel and hexachloroplatinic acid was applied as a source of platinum. The systems have been characterized by the following methods: thermogravimetric analysis (TGA), Fourier transformation infrared spectroscopy (FTIR), X-ray powder diffraction (XRPD), low-temperature nitrogen adsorption–desorption isotherms (BET, BJH), temperature-programmed reduction with hydrogen (TPR-H2) and hydrogen chemisorption. Reactions of toluene to methylcyclohexane and selective o-chloronitrobenzene (o-CNB) to o-chloroaniline (o-CAN) hydrogenation were used as the tests of systems’ catalytic activity. The application of Al2O3-TiO2 as a support has enabled the obtaining of platinum catalysts showing high activities for hydrogenation of toluene and selective hydrogenation of o-chloronitrobenzene to o-chloroaniline in the liquid phase. The highest activity in both reactions has been found for Pt/Al2O3-0.5TiO2 catalyst and the highest selectivity for Pt/Al2O3-. The activity of Pt/Al2O3-TiO2 catalysts was higher than that of alumina-supported ones.



2021 ◽  
Vol 157 ◽  
pp. 106330
Author(s):  
Shiling Zhao ◽  
Jingxuan Cai ◽  
Hui Chen ◽  
Jianyi Shen




Author(s):  
Dmitry Yu. Murzin ◽  
Johan Wärnå ◽  
Heikki Haario ◽  
Tapio Salmi

AbstractKinetic analysis of the gas-phase and liquid phase hydrogenation of toluene to methylcyclohexane on Ni catalysts was performed. For complex reaction mechanisms comprising several kinetically significant steps, nonlinear regression, while giving an adequate description of experimental data, leads to kinetic parameters which are poorly defined. The approach based on Bayesian statistics allows identification of the values of such parameters which are the most statistically probable.



ACS Omega ◽  
2021 ◽  
Vol 6 (8) ◽  
pp. 5846-5855
Author(s):  
Kaijie Li ◽  
Heliang An ◽  
Peijian Yan ◽  
Caoping Yang ◽  
Tao Xiao ◽  
...  




2020 ◽  
Vol 356 ◽  
pp. 64-72
Author(s):  
Monika Kot ◽  
Angelika Kiderys ◽  
Ewa Janiszewska ◽  
Mariusz Pietrowski ◽  
Chia-Min Yang ◽  
...  


2020 ◽  
Vol 492 ◽  
pp. 110992
Author(s):  
Jingyi Yang ◽  
Yanping Fan ◽  
Zhong-Li Li ◽  
Zhikun Peng ◽  
Jing-He Yang ◽  
...  


2019 ◽  
Vol 58 (42) ◽  
pp. 19456-19464 ◽  
Author(s):  
Li Zuo ◽  
Jingxuan Cai ◽  
Chen Yang ◽  
Chang Hao ◽  
Yuchuan Fu ◽  
...  




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