Predicting NOx Catalysis by Quantifying Ce3+ from Surface and Lattice Oxygen

Vinod K. Paidi, Louisa Savereide, David J. Childers, Justin M Notestein, Charles A. Roberts, Johan Van Lierop

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Our work introduces a novel technique based on the magnetic response of Ce3+ and molecular oxygen adsorbed on the surface of nanoceria and ceria-based catalysts that quantifies the number and type of defects and demonstrates that this information is the missing link that finally enables predictive design of NOx catalysis in ceria-based systems. The new insights into ceria catalysis are enabled by quantifying the above for different ceria nanoparticle shapes (i.e., surface terminations) and O2 partial pressure. We used ceria nanorods, cubes, and spheres and evaluated them for catalytic reduction of NO by CO. We then demonstrated the quantitative prediction of the reactivity of nanomaterials via their magnetism in different atmospheric environments. We find that the observed enhancement of reactivity for ceria nanocubes and nanorods is not directly due to improved reactivity on those surface terminations but rather due to the increased ease of generating lattice defects in these materials. Finally, we demonstrate that the method is equally applicable to highly topical and industrially relevant ceria mixed oxides, using nanoscale alumina-supported ceria as a representative case-a most ill-defined catalyst. Because the total oxide surface is a mixture of active ceria and inactive support and ceria is not likely present as crystallographically well-defined phases, reactivity does not easily scale with surface area or a surface termination. The key parameter to design efficient NO reduction in ceria-based catalysts is knowing and controlling the surface localized excess Ce3+ ion areal density.

Original languageEnglish
Pages (from-to)30670-30678
Number of pages9
JournalACS Applied Materials and Interfaces
Volume9
Issue number36
DOIs
Publication statusPublished - Sep 13 2017

Fingerprint

Cerium compounds
Catalysis
Oxygen
Nanorods
Oxides
Catalysts
Molecular oxygen
Aluminum Oxide
Crystal defects
Magnetism
Carbon Monoxide
Nanostructured materials
Partial pressure
Alumina
Ions
Nanoparticles
Defects

Keywords

  • Ce magnetic response
  • Ce ↔ Ce redox transformation
  • heterogeneous catalysis
  • nanoceria
  • oxygen vacancy defects
  • shape-selectivity

ASJC Scopus subject areas

  • Materials Science(all)

Cite this

Predicting NOx Catalysis by Quantifying Ce3+ from Surface and Lattice Oxygen. / Paidi, Vinod K.; Savereide, Louisa; Childers, David J.; Notestein, Justin M; Roberts, Charles A.; Van Lierop, Johan.

In: ACS Applied Materials and Interfaces, Vol. 9, No. 36, 13.09.2017, p. 30670-30678.

Research output: Contribution to journalArticle

Paidi, VK, Savereide, L, Childers, DJ, Notestein, JM, Roberts, CA & Van Lierop, J 2017, 'Predicting NOx Catalysis by Quantifying Ce3+ from Surface and Lattice Oxygen', ACS Applied Materials and Interfaces, vol. 9, no. 36, pp. 30670-30678. https://doi.org/10.1021/acsami.7b08719
Paidi, Vinod K. ; Savereide, Louisa ; Childers, David J. ; Notestein, Justin M ; Roberts, Charles A. ; Van Lierop, Johan. / Predicting NOx Catalysis by Quantifying Ce3+ from Surface and Lattice Oxygen. In: ACS Applied Materials and Interfaces. 2017 ; Vol. 9, No. 36. pp. 30670-30678.
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