DataVXAdvanced Composites and Hybrid MaterialsPaper
journal article·2024-12

Efficient charge separation in Z-scheme heterojunctions induced by chemical bonding-enhanced internal electric field for promoting photocatalytic conversion of corn stover to C1/C2 gases

Guoyang Gao, Yuxin Dai, Ying Lin, Houjuan Qi, Zhanhua Huang

Advanced Composites and Hybrid Materials· Volume 7· Issue 6
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Abstract

Abstract The direct conversion of corn stover into high value-added C1/C2 gases using photocatalysis is a challenging and prospective endeavor. In this work, a sulfur/oxygen dual-vacancies CdS/Co3O4 (CdS-Sv/Co3O4-Ov) Z-scheme heterojunction was designed for direct raw corn stover powder (RCSP) conversion in a photoreactive system. The internal electric field (IEF) formed in CdS-Sv/Co3O4-Ov can effectively promote the photogenerated charge separation and transfer, and the chemical bond formed at the heterogeneous interface can be used as a channel for the directional migration of photogenerated charges to accelerate the inter-interface charge transfer. Experimental results combined with DFT calculations confirmed the formation of Z-scheme heterojunction and IEF. The results of the photocatalytic RCSP reaction showed that the CO, CH4, C2H6, and C2H4 production rates of the proposed catalytic system were as high as 691.99, 2057.69, 202.93 and 187.29 µmol/g, with the corresponding CH4 selectivity and total hydrocarbon selectivity of 65.53% and 77.96%, respectively. What’s more, we propose a photocatalytic reaction mechanism in which raw biomass undergoes depolymerization and cascading oxidation to high value-added products. This study provides a new idea for high-performance photocatalytic direct conversion of RCSP into high-value-added C1/C2 gases through the rational design of photocatalysts and reaction systems.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

Catalysis & surfaces

OpenAlex topics: Green IT and Sustainability · Caching and Content Delivery · Catalytic Processes in Materials Science

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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