Effective Model of NOx Adsorption and Desorption on PtPd/CeO2-ZrO2 Passive NOx Adsorber

Anežka Kvasničková, Petr Kočí, Yaying Ji, Mark Crocker

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


An effective model for describing NOx adsorption and desorption on a PtPd/CeO2-ZrO2 passive NOx adsorber is presented. The kinetic parameters are evaluated from the available experimental data obtained during NOx adsorption/desorption experiments including CO2 and H2O in the feed, performed at 80, 120 and 160 °C both in the presence and in the absence of reducing agents (CO or C2H4). The model describes the temperature dependence of the NOx adsorption rate and capacity, the impact of CO, and dynamics of the NOx desorption events. The model predicts formation of nitrites, nitrates, and additional storage enabled in the presence of CO. Thermal decomposition of the stored NOx species results in two main desorption peaks. Nitrites are desorbed at lower temperatures while nitrates are thermally more stable. The evolution of nitrite and nitrate species in the model corresponds with the measured DRIFTS spectra of the catalyst surface. The presence of CO significantly improves the rate of NOx adsorption and storage efficiency at low temperatures, most probably due to reduction of oxidic Pt and Pd nanoparticles. The developed model captures well the observed trends and can be utilized for simulations of PNA performance under real operating conditions.

Original languageEnglish
Pages (from-to)3223-3233
Number of pages11
JournalCatalysis Letters
Issue number11
StatePublished - Nov 1 2020

Bibliographical note

Publisher Copyright:
© 2020, Springer Science+Business Media, LLC, part of Springer Nature.


  • Automotive exhaust gas aftertreatment
  • Mathematical modeling
  • NOx adsorption
  • PNA
  • PtPd/CeO-ZrO catalyst

ASJC Scopus subject areas

  • Catalysis
  • General Chemistry


Dive into the research topics of 'Effective Model of NOx Adsorption and Desorption on PtPd/CeO2-ZrO2 Passive NOx Adsorber'. Together they form a unique fingerprint.

Cite this