Design of catalyst layers by using paper-like fiber/metal nanocatalyst composites for efficient NOX reduction

Hirotaka Koga, Yuuka Umemura, Takuya Kitaoka

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The facile and effective immobilization of metal nanoparticles (NPs), such as PtNPs and CuNPs, on a microstructured paper-like matrix was successfully carried out by a direct in situ synthesis of metal NPs on ZnO whiskers embedded in a ceramic paper matrix. In the reduction process of nitrogen oxide for exhaust gas purification, the as-prepared PtNPs@ZnO paper exhibited excellent catalytic performance as compared with conventional Pt-loaded honeycomb catalysts, indicating that the paper-like microstructure promotes the effective transfer of heat and reactants to the highly efficient Pt nanocatalyst. In addition, the catalyst layer was tailored by varying the stacking patterns of PtNPs@ZnO and CuNPs@ZnO papers, leading to more than 85% reduction of the precious Pt usage compared with the case of honeycomb catalysts. Thus the metal NPs@ZnO paper composites are expected to be promising catalytic materials in making effective use of limited-availability noble metals in future sustainable societies.

Original languageEnglish
Pages (from-to)1108-1113
Number of pages6
JournalComposites Part B: Engineering
Volume42
Issue number5
DOIs
Publication statusPublished - Jul 1 2011

Fingerprint

Metal nanoparticles
Metals
Catalysts
Fibers
Composite materials
Gas fuel purification
Nitrogen oxides
Precious metals
Exhaust gases
Nitric Oxide
Availability
Microstructure

All Science Journal Classification (ASJC) codes

  • Ceramics and Composites
  • Mechanics of Materials
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

Cite this

Design of catalyst layers by using paper-like fiber/metal nanocatalyst composites for efficient NOX reduction. / Koga, Hirotaka; Umemura, Yuuka; Kitaoka, Takuya.

In: Composites Part B: Engineering, Vol. 42, No. 5, 01.07.2011, p. 1108-1113.

Research output: Contribution to journalArticle

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