Temperature sensitive long-term stability of MnO<sub><i>x</i></sub>/TiO<sub>2</sub> catalysts for selective catalytic reduction of NO<sub><i>x</i></sub> with NH<sub>3</sub> at low temperature

The reaction temperature has a great influence on the formation, decomposition, and transformation of nitrate species, which affects the long-term stability of MnO x based NH 3 -SCR catalysts.

Authors

Institutions

Publication Details

Journal
New Journal of Chemistry
Published
2025-01-01
DOI
https://doi.org/10.1039/d5nj01932j
Citations
1
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Temperature sensitive long-term stability of MnOx/TiO2 catalysts for selective catalytic reduction of NOx with NH3 at low temperature

Ruolan Jiang, Yiqing Zeng, Shule Zhang, Ruoxuan Bai et al.
1 citations
New Journal of Chemistry
Catalytic Processes in Materials Science
0.52
article

Temperature sensitive long-term stability of MnOx/TiO2 catalysts for selective catalytic reduction of NOx with NH3 at low temperature

Ruolan Jiang, Yiqing Zeng, Shule Zhang, Ruoxuan Bai, Junqi Wang, Zixiao Yu
article en
1 citations

Abstract

The reaction temperature has a great influence on the formation, decomposition, and transformation of nitrate species, which affects the long-term stability of MnO x based NH 3 -SCR catalysts.

New Journal of ChemistryVol. 49(29)
Nanjing Tech University (CN), Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 37%
Catalytic Processes in Materials Science
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.