能源化学(英文) ›› 2013, Vol. 22 ›› Issue (3): 498-505.

• Articles • 上一篇    下一篇

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

Wenjin Yana,c, Xinli Jiaa, Tao Chenb, Yanhui Yanga   

  1. a. School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459;
    b. Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK;
    c. Institute of Chemical & Engineering Sciences, 1 Pesek Road, Jurong Island, Singapore 627833
  • 收稿日期:2012-12-14 修回日期:2013-01-29 出版日期:2013-05-20 发布日期:2013-05-31
  • 通讯作者: Tao Chen, Yanhui Yang
  • 基金资助:

    This work was partially supported by the Singapore AcRF Tier 1 Grant (RG 19/09) and the A*STAR SERC Grant (102 101 0020).

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

Wenjin Yana,c, Xinli Jiaa, Tao Chenb, Yanhui Yanga   

  1. a. School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459;
    b. Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK;
    c. Institute of Chemical & Engineering Sciences, 1 Pesek Road, Jurong Island, Singapore 627833
  • Received:2012-12-14 Revised:2013-01-29 Online:2013-05-20 Published:2013-05-31
  • Supported by:

    This work was partially supported by the Singapore AcRF Tier 1 Grant (RG 19/09) and the A*STAR SERC Grant (102 101 0020).

摘要: 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 ℃ calcination and 100 ℃ 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.

关键词: carbon monoxide oxidation, data-based modeling, design of experiments, gold catalysts, heterogeneous catalysis, rapid optimization

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 ℃ calcination and 100 ℃ 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.

Key words: carbon monoxide oxidation, data-based modeling, design of experiments, gold catalysts, heterogeneous catalysis, rapid optimization