Pd Nanoclusters on TiO<sub>2</sub> for Photocatalytic Conversion of Phenylacetylene to Styrene

Selective hydrogenation of phenylacetylene is a crucial industrial reaction, yet developing catalysts with both high selectivity and activity remains challenging. Conventional hydrogenation catalysts often exhibit unevenly dispersed active metals, leading to agglomeration and reduced catalytic performance. Herein, with the aid of the ice-templating (ICT) strategy, we present TiO2-supported Pd nanocluster photocatalysts with ultralow Pd loading (0.1 wt %). The optimized Pd/TiO2–ICT catalyst achieves exceptional catalytic performance under ambient conditions (room temperature and atmospheric pressure) with methanol solvent and light irradiation, delivering 99% phenylacetylene conversion alongside 98% styrene selectivity. Advanced characterization reveals the catalyst’s superior structural features, including ultrasmall Pd clusters (1.2 nm diameter) and reduced Pd–Pd coordination number (6.3), which are significantly better than conventional counterparts. Systematic investigations establish a clear positive correlation between catalytic efficiency and critical structural parameters: smaller cluster dimensions and lower metal coordination numbers at equivalent Pd loadings. Mechanistic studies through comprehensive characterization elucidate that the photogenerated hydrogen radicals (•H) from methanol splitting directly drive the selective hydrogenation process. This study offers insights into both the application and structure–activity relationship of the ICT-based catalysts.

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Publication Details

Journal
ACS Applied Nano Materials
Published
2025-05-19
DOI
https://doi.org/10.1021/acsanm.5c01723
Primary Topic
Copper-based nanomaterials and applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Pd Nanoclusters on TiO2 for Photocatalytic Conversion of Phenylacetylene to Styrene

Yaying Li, Chen Xue, Weijie Jia, Qi Xiao et al.
ACS Applied Nano Materials
Copper-based nanomaterials and applications
article

Pd Nanoclusters on TiO2 for Photocatalytic Conversion of Phenylacetylene to Styrene

Yaying Li, Chen Xue, Weijie Jia, Qi Xiao, Haifeng Wang
article en

Abstract

Selective hydrogenation of phenylacetylene is a crucial industrial reaction, yet developing catalysts with both high selectivity and activity remains challenging. Conventional hydrogenation catalysts often exhibit unevenly dispersed active metals, leading to agglomeration and reduced catalytic performance. Herein, with the aid of the ice-templating (ICT) strategy, we present TiO2-supported Pd nanocluster photocatalysts with ultralow Pd loading (0.1 wt %). The optimized Pd/TiO2–ICT catalyst achieves exceptional catalytic performance under ambient conditions (room temperature and atmospheric pressure) with methanol solvent and light irradiation, delivering 99% phenylacetylene conversion alongside 98% styrene selectivity. Advanced characterization reveals the catalyst’s superior structural features, including ultrasmall Pd clusters (1.2 nm diameter) and reduced Pd–Pd coordination number (6.3), which are significantly better than conventional counterparts. Systematic investigations establish a clear positive correlation between catalytic efficiency and critical structural parameters: smaller cluster dimensions and lower metal coordination numbers at equivalent Pd loadings. Mechanistic studies through comprehensive characterization elucidate that the photogenerated hydrogen radicals (•H) from methanol splitting directly drive the selective hydrogenation process. This study offers insights into both the application and structure–activity relationship of the ICT-based catalysts.

ACS Applied Nano MaterialsVol. 8(21)
Donghua University (CN), Division of Materials Science and Engineering (AU)
Natural Science Foundation of Shanghai
Openalex Percentile: Top 93%
Copper-based nanomaterials and applications
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Pd Nanoclusters on TiO<sub>2</sub> for Photocatalytic Conversion of Phenylacetylene to Styrene — Yaying Li, Chen Xue, et al. · ACS Applied Nano Materials (2025) | TGRS Research Map | TGRS