Suppr超能文献

多相催化剂上羧酸、酯及相关化合物的氢化:迈向可持续和碳中和工艺的一步。

Hydrogenation of Carboxylic Acids, Esters, and Related Compounds over Heterogeneous Catalysts: A Step toward Sustainable and Carbon-Neutral Processes.

作者信息

Qu Ruiyang, Junge Kathrin, Beller Matthias

机构信息

Leibniz-Institut für Katalyse, Albert-Einstein-Straße 29a, Rostock 18059, Germany.

出版信息

Chem Rev. 2023 Feb 8;123(3):1103-1165. doi: 10.1021/acs.chemrev.2c00550. Epub 2023 Jan 5.

Abstract

The catalytic hydrogenation of esters and carboxylic acids represents a fundamental and important class of organic transformations, which is widely applied in energy, environmental, agricultural, and pharmaceutical industries. Due to the low reactivity of the carbonyl group in carboxylic acids and esters, this type of reaction is, however, rather challenging. Hence, specifically active catalysts are required to achieve a satisfactory yield. Nevertheless, in recent years, remarkable progress has been made on the development of catalysts for this type of reaction, especially heterogeneous catalysts, which are generally dominating in industry. Here in this review, we discuss the recent breakthroughs as well as milestone achievements for the hydrogenation of industrially important carboxylic acids and esters utilizing heterogeneous catalysts. In addition, related catalytic hydrogenations that are considered of importance for the development of cleaner energy technologies and a circular chemical industry will be discussed in detail. Special attention is paid to the insights into the structure-activity relationship, which will help the readers to develop rational design strategies for the synthesis of more efficient heterogeneous catalysts.

摘要

酯类和羧酸的催化氢化是一类基础且重要的有机转化反应,广泛应用于能源、环境、农业和制药行业。然而,由于羧酸和酯中羰基的低反应活性,这类反应颇具挑战性。因此,需要具有特定活性的催化剂才能获得令人满意的产率。尽管如此,近年来,在这类反应的催化剂开发方面取得了显著进展,尤其是多相催化剂,其在工业中通常占据主导地位。在本综述中,我们讨论了利用多相催化剂对工业上重要的羧酸和酯进行氢化反应的最新突破以及里程碑式的成就。此外,还将详细讨论对清洁能源技术和循环化学工业发展具有重要意义的相关催化氢化反应。特别关注对构效关系的深入理解,这将有助于读者制定合理的设计策略,以合成更高效的多相催化剂。

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