Unravelling platinum nanoclusters as active sites to lower the catalyst loading for formaldehyde oxidation
Minimizing the use of precious metal remains a challenge in heterogeneous catalysis, such as platinum-based catalysts for formaldehyde oxidation. Here we report the catalyst system Pt/TiO 2 with low platinum loading of 0.08 wt%, orders of magnitude lower than conventional catalysts. A volcano-like...
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Published in | Communications chemistry Vol. 2; no. 1 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
05.03.2019
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Minimizing the use of precious metal remains a challenge in heterogeneous catalysis, such as platinum-based catalysts for formaldehyde oxidation. Here we report the catalyst system Pt/TiO
2
with low platinum loading of 0.08 wt%, orders of magnitude lower than conventional catalysts. A volcano-like relationship is identified between reaction rates of formaldehyde and platinum sizes in a scale of single-atoms, nanoclusters and nanoparticles, respectively. Various characterization techniques demonstrate that platinum nanoclusters facilitate more activation of O
2
and easier adsorption of HCHO as formates. The activated O facilitates the decomposition of formates to CO
2
via a lower reaction barrier. Consequently, this size platinum with such low loading realizes complete elimination of formaldehyde at ambient conditions, outperforming single-atoms and nanoparticles. Moreover, the platinum nanoclusters exhibit a good versatility regardless of supporting on “active” FeO
x
or “inert” Al
2
O
3
for formaldehyde removal. The identification of the most active species has broad implications to design cost-effective metal catalysts with relatively lower loadings.
It is important to identify heterogeneous catalyst compositions which minimize use of precious metals. Here the authors analyse the size-activity behaviour of platinum-based formaldehyde oxidation catalysts, identifying a volcano relationship with nanometer scale nanoclusters being the most effective. |
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ISSN: | 2399-3669 2399-3669 |
DOI: | 10.1038/s42004-019-0129-0 |