Optimization and statistical analysis of Au-ZnO/Al2O3 catalyst for CO oxidation

Wenjin Yan, Xinli Jia, Tao Chen, Yanhui Yang

Research output: Contribution to journalArticlepeer-review

Abstract

In our former work [Catal. Today 174 (2011) 127], 12 heterogeneous catalysts were screened for CO oxidation, and Au-ZnO/Al2O3 was chosen and optimized in terms of weight loadings of Au and ZnO. The present study follows on to consider the impact of process parameters (catalyst preparation and reaction conditions), in conjunction with catalyst composition (weight loadings of Au and ZnO, and the total weight of the catalyst), as the optimization of the process parameters simultaneously optimized the catalyst composition. The optimization target is the reactivity of this important reaction. These factors were first optimized using response surface methodology (RSM) with 25 experiments, to obtain the optimum: 100 mg of 1.0%Au-4.1%ZnO/ Al2O3 catalyst with 220 °C calcination and 100 °C reduction. After optimization, the main effects and interactions of these five factors were studied using statistical sensitivity analysis (SA). Certain observations from SA were verified by reaction mechanism, reactivity test and/or characterization techniques, while others need further investigation.

Original languageEnglish
Pages (from-to)498-505
Number of pages8
JournalJournal of Energy Chemistry
Volume22
Issue number3
DOIs
StatePublished - May 2013
Externally publishedYes

Keywords

  • Carbon monoxide oxidation
  • Data-based modeling
  • Design of experiments
  • Gold catalysts
  • Heterogeneous catalysis
  • Rapid optimization

Fingerprint

Dive into the research topics of 'Optimization and statistical analysis of Au-ZnO/Al2O3 catalyst for CO oxidation'. Together they form a unique fingerprint.

Cite this