application of response surface methodology for catalytic hydrogenation of nitrobenzene to aniline using ruthenium supported fullerene nanocatalyst

Authors

hassan keypour

mohammad noroozi

alimorad rashidi

masoud shariati rad

abstract

in this study fullerene functionalized using oleum (h2so4·so3), followed by the hydrolysis of the intermediate cyclosulfated fullerene as well as  an oxidizing agent was employed to functionalize the fullerenes. ruthenium was then added by the impregnation method or deposited on the functionalized fullerene. subsequent to this step, response surface methodology (rsm) was used to study the cumulative effect of various parameters including, pressure, temperature, time and loading. in order to maximize the hydrogenation of nitrobenzene (nb) to aniline (an) these latter parameters were optimized. furthermore, catalytic activity was evaluated over a temperature range of 25–150°c, hydrogen pressure of 1-30 atm, ruthenium content of 1-15%(w/w) and reaction time of 30-180 min in a bench scale reactor. the optimized model predicted that the hydrogenation should be at a maximum level (approximately 100%) with the following conditions; ru loading of 15%, reaction temperature of 150 °c, reaction time of 180 min and hydrogen pressure of 22.33 atm.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Application of Response Surface Methodology for Catalytic Hydrogenation of Nitrobenzene to Aniline Using Ruthenium Supported Fullerene Nanocatalyst

In this study fullerene functionalized using oleum (H2SO4·SO3), followed by the hydrolysis of the intermediate cyclosulfated fullerene as well as  an oxidizing agent was employed to functionalize the fullerenes. Ruthenium was then added by the impregnation method or deposited on the functionalized fullerene. Subsequent to this step, Response Surface Methodol...

full text

preparation and characterization of new co-fe and fe-mn nano catalysts using resol phenolic resin and response surface methodology study for fischer-tropsch synthesis

کاتالیزورهای co-fe-resol/sio2و fe-mn-resol/sio2 با استفاده از روش ساده و ارزان قیمت همرسوبی تهیه شدند. از رزین پلیمری resol در فرآیند تهیه کاتالیزور استفاده شد.

Response surface methodology for optimization of Phenol photo-catalytic degradation using Carbon-doped TiO2 nano-photocatalyst

In this research, Carbon-doped TiO2 nano-photocatalyst is synthesized via sol-gel technique and photo-catalytic degradation of phenol has been studied under ultraviolet and visible light irradiation in a fluidized bed reactor. Various techniques are used to characterize TiO2 nano-photocatalyst such as X-Ray Diffraction, Fourier transform infrared spectroscopy,  Energy Disp...

full text

Response surface methodology for optimization of Phenol photo-catalytic degradation using Carbon-doped TiO2 nano-photocatalyst

In this research, Carbon-doped TiO2 nano-photocatalyst is synthesized via sol-gel technique and photo-catalytic degradation of phenol has been studied under ultraviolet and visible light irradiation in a fluidized bed reactor. Various techniques are used to characterize TiO2 nano-photocatalyst such as X-Ray Diffraction, Fourier transform infrared spectroscopy,  Energy Disp...

full text

Optimization and Modeling of CuOx/OMWNT’s for Catalytic Reduction of Nitrogen Oxides by Response Surface Methodology

A series of copper oxide (CuOx) catalysts supported by oxidized multi-walled carbon nanotubes (OMWNT’s) were prepared by the wet impregnation method for the low temperature (200 °C) selective catalytic reduction of nitrogen oxides (NOx) using NH3 as a reductant agent in the presence of excess oxygen. These catalysts were characterized by FTIR, XRD, SEM-EDS, and H2-TPR meth...

full text

My Resources

Save resource for easier access later


Journal title:
iranian journal of chemistry and chemical engineering (ijcce)

Publisher: iranian institute of research and development in chemical industries (irdci)-acecr

ISSN 1021-9986

volume 34

issue 1 2015

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023