Ultrathin tin monosulfide nanosheets with the exposed (001) plane for efficient electrocatalytic conversion of CO2 into formate.
Hanlin ChenJunxiang ChenJincheng SiYang HouQiang ZhengBin YangZhongjian LiLiguo GaoLecheng LeiZhenhai WenXinliang FengPublished in: Chemical science (2020)
Current Sn-based materials are ideal catalysts developed to drive the electrochemical conversion of CO2 to formate, but competing proton reduction to hydrogen is an ever-present drain on catalytic selectivity. Herein, we report a reliable electrochemical exfoliation route, with the assistance of alternating voltage, for large-scale preparation of two-dimensional (2D) ultrathin tin monosulfide nanosheets (SnS NSs), which feature a large lateral size of 1.0 μm with a thickness of ∼5.0 nm. Systematic electrochemical studies demonstrated that the achieved SnS NSs exhibited an outstanding electrocatalytic activity towards the CO2 reduction reaction (CO2RR) to the formate product, as evidenced by a considerable faradaic efficiency (F.E.) of 82.1%, a high partial current density of 18.9 mA cm-2 at -1.1 V, and a low Tafel slope of 180 mV dec-1. Further, using an electrode prepared from the resulting SnS NSs by the particle transfer method, a remarkably high formate F.E. over 91% was achieved in a wide potential window. Such high performance renders the SnS NSs among the best reported tin sulfide-based CO2RR electrocatalysts. Theoretical calculations coupled with comprehensive experimental studies demonstrated that the synergistic effect between the ultrathin layered architecture and dominantly exposed (001) plane of SnS NSs accounted for the uniquely efficient catalytic activity for the CO2RR.
Keyphrases
- metal organic framework
- reduced graphene oxide
- gold nanoparticles
- molecularly imprinted
- electron transfer
- ionic liquid
- highly efficient
- label free
- transition metal
- high efficiency
- case control
- machine learning
- perovskite solar cells
- photodynamic therapy
- oxide nanoparticles
- molecular dynamics
- optical coherence tomography
- quantum dots
- climate change