ABSTRACT
Chemical Research Center, Institute of Surface Chemistry and Catalysis, Department
of Organic Catalysis, 1025 Budapest, Pusztaszeri út 59-67 Hungary
joemarg@chemres.hu
Abstract
In this study general principles of catalyst library design for a 16-well high-throughput high-pressure reactor system (SPR 16) used for combinatorial catalytic experiments in the field of fine chemistry are described and discussed. The focus is laid on heterogeneous catalytic selective hydrogenation reactions. It has been shown that Holographic Research Strategy (HRS) combined with Artificial Neural Networks (ANNs) is an excellent tool both for catalyst library design and the visualization of multidimensional experimental space. Introduction
In the last decade methods of combinatorial catalysis and high throughput experimentation has obtained great interest [1-4]. In the field of heterogeneous catalysis most of the efforts are devoted to the investigation of gas phase reactions, where several hundreds catalysts can simultaneously be tested [5,6]. Contrary to that, in high-pressure liquid phase catalytic reactions in a single reactor module only 8-16 parallel experiments can be performed. There are reports to use up to six modules as a parallel setup [7].
