Inorganic Systems Engineering group, Department of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology, Van der Maasweg 9, 2629 HZ, Delft, The Netherlands.
Chem Commun (Camb). 2023 Feb 9;59(13):1757-1768. doi: 10.1039/d2cc05625a.
Effective assessment of catalytic performance is the foundation for the rational design and development of new catalysts with superior performance. The ubiquitous screening/optimization studies use reaction yields as the sole performance metric in an approach that often neglects the complexity of the catalytic system and intrinsic reactivities of the catalysts. Using an example of hydrogenation catalysis, we examine the transient behavior of catalysts that are often encountered in activation, deactivation and catalytic turnover processes. Each of these processes and the reaction environment in which they take place are gradually shown to determine the real-time catalyst speciation and the resulting kinetics of the overall catalytic reaction. As a result, the catalyst performance becomes a complex and time-dependent metric defined by multiple descriptors apart from the reaction yield. This behaviour is not limited to hydrogenation catalysis and affects various catalytic transformations. In this feature article, we discuss these catalytically relevant descriptors in an attempt to arrive at a comprehensive depiction of catalytic performance.
有效评估催化性能是合理设计和开发具有优异性能的新型催化剂的基础。广泛使用的筛选/优化研究通常忽略了催化体系的复杂性和催化剂的固有反应性,仅将反应收率作为唯一的性能指标。我们以氢化催化为例,研究了在催化剂活化、失活和催化循环过程中经常遇到的催化剂的瞬态行为。这些过程中的每一个以及它们发生的反应环境都逐渐被证明决定了实时催化剂形态和整体催化反应的动力学。因此,催化剂性能成为一个复杂且依赖于时间的指标,由除了反应收率之外的多个描述符定义。这种行为不仅限于氢化催化,而且影响各种催化转化。在这篇专题文章中,我们讨论了这些与催化相关的描述符,试图对催化性能进行全面描述。