Tuning of catalytic sites in Pt/TiO2 catalysts for the chemoselective hydrogenation of 3-nitrostyrene
The catalytic activities of supported metal nanoparticles can be tuned by appropriate design of synthesis strategies. Each step in a catalyst synthesis method can play an important role in preparing the most efficient catalyst. Here we report the careful manipulation of the post-synthetic heat treat...
Gespeichert in:
Veröffentlicht in: | Nature catalysis 2019-10, Vol.2 (10), p.873-881 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The catalytic activities of supported metal nanoparticles can be tuned by appropriate design of synthesis strategies. Each step in a catalyst synthesis method can play an important role in preparing the most efficient catalyst. Here we report the careful manipulation of the post-synthetic heat treatment procedure—together with control over the metal loading—to prepare a highly efficient 0.2 wt% Pt/TiO
2
catalyst for the chemoselective hydrogenation of 3-nitrostyrene. For Pt/TiO
2
catalysts with 0.2 and 0.5 wt% loading levels, reduction at 450 °C induces the coverage of TiO
x
over Pt nanoparticles through a strong metal–support interaction, which is detrimental to their catalytic activities. However, this can be avoided by following calcination treatment with reduction (both at 450 °C), allowing us to prepare an exceptionally active catalyst. Detailed characterization has revealed that the peripheral sites at the Pt/TiO
2
interface are the most likely active sites for this hydrogenation reaction.
Small changes in catalyst synthesis can have large and often poorly understood effects on activity. Here the authors show how variation of post synthetic heat treatment—in combination with changes in metal loadings—can lead to the most efficient catalysts, and also identify the most likely active sites. |
---|---|
ISSN: | 2520-1158 2520-1158 |
DOI: | 10.1038/s41929-019-0334-3 |