Suppr超能文献

HMF电氧化中空位的研究进展

The progress of research on vacancies in HMF electrooxidation.

作者信息

Chen Zhikai, Zhang Gan, Jiang Jinxia, Feng Xin, Li Wei, Xiang Xiaohong, Linling Gan

机构信息

School of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China.

Chongqing Medical and Pharmaceutical College, Chongqing, China.

出版信息

Front Chem. 2024 Jun 14;12:1416329. doi: 10.3389/fchem.2024.1416329. eCollection 2024.

Abstract

5-Hydroxymethylfurfural (HMF), serving as a versatile platform compound bridging biomass resource and the fine chemicals industry, holds significant importance in biomass conversion processes. The electrooxidation of HMF plays a crucial role in yielding the valuable product (2,5-furandicarboxylic acid), which finds important applications in antimicrobial agents, pharmaceutical intermediates, polyester synthesis, and so on. Defect engineering stands as one of the most effective strategies for precisely synthesizing electrocatalytic materials, which could tune the electronic structure and coordination environment, and further altering the adsorption energy of HMF intermediate species, consequently increasing the kinetics of HMF electrooxidation. Thereinto, the most routine and effective defect are the anionic vacancies and cationic vacancies. In this concise review, the catalytic reaction mechanism for selective HMF oxidation is first elucidated, with a focus on the synthesis strategies involving both anionic and cationic vacancies. Recent advancements in various catalytic oxidation systems for HMF are summarized and synthesized from this perspective. Finally, the future research prospects for selective HMF oxidation are discussed.

摘要

5-羟甲基糠醛(HMF)作为连接生物质资源和精细化工行业的多功能平台化合物,在生物质转化过程中具有重要意义。HMF的电氧化在生成有价值的产物(2,5-呋喃二甲酸)中起着关键作用,该产物在抗菌剂、药物中间体、聚酯合成等方面有重要应用。缺陷工程是精确合成电催化材料最有效的策略之一,它可以调节电子结构和配位环境,进而改变HMF中间物种的吸附能,从而提高HMF电氧化的动力学。其中,最常见且有效的缺陷是阴离子空位和阳离子空位。在这篇简要综述中,首先阐明了选择性HMF氧化的催化反应机理,重点关注涉及阴离子和阳离子空位的合成策略。从这个角度总结并综合了HMF各种催化氧化体系的最新进展。最后,讨论了选择性HMF氧化的未来研究前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e763/11211356/c71c3a99d188/fchem-12-1416329-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验