Room-TemperatureSelective Detection of H<sub>2</sub> by Pd Nanoparticle-DecoratedSnO<sub>2</sub>@WO<sub>3</sub> Core–ShellHollow Structures

Sensitive H<sub>2</sub> sensors play key roles in the large-scale and safe applications of H<sub>2</sub>. In this study, we developed novel ternary Pd-loaded SnO<sub>2</sub>@WO<sub>3</sub> core–shell structures by hydrothermal and <i>in situ</i> reduction methods. The compositions of the optimized ternary core–shell structures (Pd-SW-2) are prepared on the basis of the optimal binary core–shell structures (SW-X) according to the sensing performances to H<sub>2</sub>. Gas sensing tests reveal that the sensing performances (e.g., sensing response and response/recovery time) to H<sub>2</sub> are gradually improved after the formation of core–shell structures and the modification of Pd nanoparticles. 10Pd-SW-2 exhibits the highest response (370 times and 204 times higher than those of SnO<sub>2</sub> and SW-2, respectively) and the shortest response and recovery time (19/53 s) to 100 ppm of H<sub>2</sub> at 25 °C among the as-prepared ternary and binary composites. Combined with the morphology, XPS, electrochemical, H<sub>2</sub>-TPR, and O<sub>2</sub>-TPD analyses, the underlying reasons for the improved sensing performance of 10Pd-SW-2 are attributed to (1) the unique core–shell hollow structure and appropriate Pd particle sizes and distribution, (2) abundant oxygen vacancies, (3) the electron sensitization resulting from the energy band structure, and (4) the excellent chemical sensitization originated from the interaction between Pd/PdHx/PdO and H<sub>2</sub>.

Publication Details

Journal
Figshare
Published
2025-01-28
DOI
https://doi.org/10.1021/acs.analchem.4c05215.s001
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Room-TemperatureSelective Detection of H2 by Pd Nanoparticle-DecoratedSnO2@WO3 Core–ShellHollow Structures

Figshare
Gas Sensing Nanomaterials and Sensors
article

Room-TemperatureSelective Detection of H2 by Pd Nanoparticle-DecoratedSnO2@WO3 Core–ShellHollow Structures

article en

Abstract

Sensitive H<sub>2</sub> sensors play key roles in the large-scale and safe applications of H<sub>2</sub>. In this study, we developed novel ternary Pd-loaded SnO<sub>2</sub>@WO<sub>3</sub> core–shell structures by hydrothermal and <i>in situ</i> reduction methods. The compositions of the optimized ternary core–shell structures (Pd-SW-2) are prepared on the basis of the optimal binary core–shell structures (SW-X) according to the sensing performances to H<sub>2</sub>. Gas sensing tests reveal that the sensing performances (e.g., sensing response and response/recovery time) to H<sub>2</sub> are gradually improved after the formation of core–shell structures and the modification of Pd nanoparticles. 10Pd-SW-2 exhibits the highest response (370 times and 204 times higher than those of SnO<sub>2</sub> and SW-2, respectively) and the shortest response and recovery time (19/53 s) to 100 ppm of H<sub>2</sub> at 25 °C among the as-prepared ternary and binary composites. Combined with the morphology, XPS, electrochemical, H<sub>2</sub>-TPR, and O<sub>2</sub>-TPD analyses, the underlying reasons for the improved sensing performance of 10Pd-SW-2 are attributed to (1) the unique core–shell hollow structure and appropriate Pd particle sizes and distribution, (2) abundant oxygen vacancies, (3) the electron sensitization resulting from the energy band structure, and (4) the excellent chemical sensitization originated from the interaction between Pd/PdHx/PdO and H<sub>2</sub>.

Figshare
Affordable and clean energy
Openalex Percentile: Top 58%
Gas Sensing Nanomaterials and Sensors
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.