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Recommendations for improving rigor and reproducibility in site specific characterization

  • Cody J. Wrasman
  • , Alexis T. Bell
  • , Bert D. Chandler
  • , James W. Harris
  • , Stephanie Kwon
  • , Madelyn R. Ball
  • , Siddarth H. Krishna
  • , Sheima J. Khatib
  • , Praveen Bollini
  • , Yuriy Román-Leshkov
  • , Andrew “Bean” Getsoian
  • , Robert S. Weber
  • , Johannes A. Lercher
  • , Dongxia Liu
  • , Daniel E. Resasco
  • , Jason S. Bates
  • , Jacklyn N. Hall
  • , Edgard A. Lebrón-Rodríguez
  • , Laura Paz Herrera
  • , Justin M. Notestein
  • Joshua A. Schaidle
  • National Renewable Energy Laboratory
  • University of California at Berkeley
  • Lawrence Berkeley National Laboratory
  • Pennsylvania State University
  • The Pennsylvania State University
  • Department of Chemical and Biological Engineering
  • Colorado School of Mines
  • West Virginia University
  • University of Wisconsin
  • Virginia Tech College of Engineering
  • University of Houston
  • Massachusetts Institute of Technology
  • Ford Motor Company
  • Pacific Northwest National Laboratory
  • University of Delaware College of Engineering
  • University of Oklahoma
  • University of Virginia School of Engineering and Applied Science
  • Argonne National Laboratory
  • University of Colorado
  • Northwestern University

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Heterogeneous catalysis is driven by the interaction of reactant molecules and the catalyst surface. The locus of this interaction as well as the surrounding ensemble of atoms is referred to as the catalyst active site. Active site characterization attempts to distinguish active catalytic sites from inactive surface sites, to elucidate the structural and chemical nature of active sites, and to quantify active site concentration. Numerous techniques have been demonstrated to provide compositional and structural information about the active sites within a catalyst. However, each technique has its own limitations and experimental pitfalls that can lead to data misinterpretation or irreproducible results. This work aims to provide an overview of the types of data that can be collected, to outline common experimental challenges and how to avoid them, and to assemble relevant references for the most used active site characterization techniques. More broadly, we aim to outline best practices for researchers to collect, interpret, and report active site characterization data in a way that provides the most benefit to the broader catalysis community. Increasing the rigor and reproducibility of active site characterization offers a strategy to better link properties with catalytic performance and to enable the community to develop consensus concerning these relationships.

Original languageEnglish
Article number115451
JournalJournal of Catalysis
Volume433
DOIs
StatePublished - May 2024

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