@article{1d46005b8bf0402aa3e5f6a145c6dd3b,
title = "Semiconductor nanosheets for electrocatalytic self-coupling of benzaldehyde to hydrobenzoin",
abstract = "The electrochemical reduction of biomass-derived feedstocks provides a sustainable platform for the synthesis of a wide range of chemical commodities and biofuels. Despite their interest, the optimization of reaction conditions, the screening of electrode materials, and the mechanistic understanding of these processes lag well behind other chemical routes. Here, we focus on the electrochemical self-coupling of benzaldehyde (BZH) to hydrobenzoin (HDB) using semiconductor electrocatalysts with nanosheet morphologies. By testing several semiconductor materials, a correlation is observed between their band gap and the electrochemical potential necessary to maximize selectivity towards HDB in alkaline medium, which we associate with the charge accumulation at the semiconductor surface. N-type CuInS2 provides the highest conversion rate at 0.3 mmol cm−2h−1 with a selectivity of 98.5 % at −1.3 V vs. Hg/HgO. Additional density functional theory calculations demonstrate a lower kinetic energy barrier at the CuInS2 surface compared with graphitic carbon, proving its catalytic role in the self-coupling reaction of BZH.",
keywords = "Benzaldehyde, CuInS, Electrocatalysis, Electrochemical reduction, Hydrobenzoin, Self-coupling, Semiconductor",
author = "Li Gong and Zhang, {Chao Yue} and Xiao Mu and Xu Han and Junshan Li and Jordi Arbiol and Zhou, {Jin Yuan} and Tanja Kallio and Mart{\'i}nez-Alanis, {Paulina R.} and Andreu Cabot",
note = "Funding Information: L. Gong and C.Y. Zhang thank the China Scholarship Council for the scholarship support. The authors greatly acknowledge the computational simulation support from the Supercomputing Center of Lanzhou University, China. J. Li is grateful for the project funded by the Natural Science Foundation of Sichuan Province (No. 2022NSFSC1229) and the China Postdoctoral Science Foundation (No.2023MD734228). The project on which these results are based has received funding from the European Union's Horizon 2020 research and innovation program under Marie Sk{\l}odowska-Curie grant agreement No. 801342 (Tecniospring INDUSTRY) and the Government of Catalonia's Agency for Business Competitiveness (ACCIO). ICN2 acknowledges funding from Generalitat de Catalunya 2021SGR00457. This study was supported by MCIN with funding from the European Union NextGenerationEU (PRTR-C17.I1) and Generalitat de Catalunya. This research is part of the CSIC program for the Spanish Recovery, Transformation, and Resilience Plan funded by the Recovery and Resilience Facility of the European Union, established by the Regulation (EU) 2020/2094. The authors thank the support from the project NANOGEN (PID2020-116093RB-C43), funded by MCIN/AEI/10.13039/501100011033/ and by “ERDF A way of making Europe”, by the “European Union”. ICN2 is supported by the Severo Ochoa program from Spanish MCIN /AEI (Grant No.: CEX2021-001214-S) and is funded by the CERCA Programme / Generalitat de Catalunya. Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",
year = "2024",
month = jan,
day = "1",
doi = "10.1016/j.cej.2023.147612",
language = "English",
volume = "479",
journal = "Chemical Engineering Journal",
issn = "1385-8947",
publisher = "Elsevier",
}