Combinatorial and High-Throughput Technologies for the Discovery and Optimization of Catalysts
A special issue of BioTech (ISSN 2673-6284).
Deadline for manuscript submissions: closed (29 February 2020) | Viewed by 187
Special Issue Information
Dear Colleagues,
Combinatorial and high-throughput (CHT) technologies for the discovery and optimization of catalysts have now become an indispensable tool for catalysis research. Including biosciences, the actual number of Scifinder entries on this topic is more than 11,000. CHT couples the capability for parallel production of arrays of catalyst libraries with different high-throughput measurement techniques for catalytic performance properties, followed by data mining in the collected data to identify “lead” materials. This also includes dynamic or reversible chemistry approaches, such as self-assembly, self-selection or self-evolving libraries. The presently generated set of tools for productivity acceleration is impressive and demonstrates the broad applicability of CHT experimentation technologies in catalysis. This is the foundation for continuing to make substantial improvements in the efficiency and economics of catalytic processes.
This Special Issue focuses on recent advances in catalyst discovery and optimization by combinatorial and high-throughput methods in homogeneous and heterogeneous catalysis, as well as biocatalysis. This also includes methodological and theoretical approaches and developments. The objectives of the issue are to further establish this matured field by monitoring recent developments in catalyst synthesis, characterization, and data mining. Additionally, industrial applications of catalyst developments are welcome, especially when they illustrate successful applications of high-throughput technologies.
Prof. Klaus Stowe
Guest Editor
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Keywords
- Heterogeneous and homogeneous catalysis or biocatalysis
- Electrocatalysis
- Combinatorial chemistry
- High-throughput technologies
- High-throughput experimentation
- Catalyst discovery
- Catalyst optimization
- “Lead” identification
- Efficiency improvements
- Sustainability increase
- Catalyst economics
- Methodological approaches
- Theoretical developments
- Industrial applications
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