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Kinetic modeling of nitrate reduction catalyzed by Pd–Cu supported on carbon nanotubes
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Soares, Olívia Salomé G. P., Fan, Xiaolei, Órfão, José J. M., Lapkin, Alexei and Pereira, Manuel Fernando R.. (2012) Kinetic modeling of nitrate reduction catalyzed by Pd–Cu supported on carbon nanotubes. Industrial & Engineering Chemistry Research, Vol.51 (No.13). pp. 4854-4860. ISSN 0888-5885
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Official URL: http://dx.doi.org/10.1021/ie202957v
Abstract
New catalysts for liquid phase nitrate reduction were recently synthesized using multiwalled carbon nanotubes as a support. The most promising catalyst (1%Pd–1%Cu/CNT) was used in this kinetic study. The catalyst experimentally showed high selectivity to nitrogen, between 80 and 89%. A mechanistic model was applied to experimental data to show that the reason for high selectivity is due to the enhanced mass transfer near the catalyst surface promoted by the use of a structured support. The experimental selectivity is close to the maximum selectivity predicted for this catalytic system at the best operating conditions and in the absence of any mass transfer limitations.
| Item Type: | Journal Article |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TP Chemical technology |
| Divisions: | Faculty of Science > Engineering |
| Journal or Publication Title: | Industrial & Engineering Chemistry Research |
| Publisher: | American Chemical Society |
| ISSN: | 0888-5885 |
| Date: | 4 April 2012 |
| Volume: | Vol.51 |
| Number: | No.13 |
| Number of Pages: | 7 |
| Page Range: | pp. 4854-4860 |
| Identification Number: | 10.1021/ie202957v |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| Funder: | European Community's Seventh Framework Programme (FP7/2007-2013), Fundação para a Ciência e a Tecnologia (FCT) |
| Grant number: | 226347 (FP7), BD/30328/2006 (FCT) |
| URI: | http://wrap.warwick.ac.uk/id/eprint/45976 |
Data sourced from Thomson Reuters' Web of Knowledge
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