Combinatorial computational chemistry approach to the design of deNOx catalysts

Kenji Yajima, Yusuke Ueda, Hirotaka Tsuruya, Tomonori Kanougi, Yasunori Oumi, S. Salai Cheettu Ammal, Seiichi Takami, Momoji Kubo, Akira Miyamoto

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

Abstract

Combinatorial chemistry is an efficient technique for the synthesis and screening of a large number of compounds. Recently, we introduced the combinatorial approach to computational chemistry for catalyst design and proposed a new method called 'combinatorial computational chemistry'. In the present study, we have applied this combinatorial computational chemistry approach to the design of deNOx catalysts. Various ion-exchanged ZSM-5 are candidates as catalysts for the removal of nitrogen oxides (NOx) from exhaust gases in the presence of excess oxygen. Here, we describe the screening of the exchange cations in ion-exchanged ZSM-5 which are strong against poisons. We investigated the adsorption energies of NO and water on various ion-exchanged ZSM-5 catalysts. Cu+, Ag+, Au+, Fe2+, Co2+, Ni2+, Pd2+, Pt2+, Cr3+, Fe3+, Ir3+ and Tl3+ were found to have high resistance to water molecules during the deNOx reaction.

Original languageEnglish
Pages (from-to)183-191
Number of pages9
JournalApplied Catalysis A: General
Volume194
DOIs
Publication statusPublished - 2000 Mar 13

ASJC Scopus subject areas

  • Catalysis
  • Process Chemistry and Technology

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