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Catalysts
Special Issues
High-Throughput Catalysts
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High-Throughput Catalysts

A special issue of Catalysts (ISSN 2073-4344).

Deadline for manuscript submissions: closed (15 October 2015) | Viewed by 16332

Special Issue Editor

Prof. Dr. Klaus Stowe

E-Mail Website
Guest Editor
Chemical Technology, Institute for Chemistry, Natural Science Faculty, Chemnitz Technical University, Chemnitz, Germany
Interests: heterogeneous catalysis (combinatorial and high-throughput catalyst discovery and optimization; catalyst design; reaction kinetics; adsorption phenomena; SCR; automotive emissions control; electrocatalysts and fuel cells; CO2 utilization; microstructured reactors); materials synthesis by CC and HTE (energy storage materials; nanoscaled chalcogenides)
Special Issues, Collections and Topics in MDPI journals

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 technologies couple the capability of parallel production of arrays of catalyst libraries with different high-throughput measurement techniques for catalytic performance properties. “Lead” materials can then be ascertained by data mining of collected data. CHT technologies include also dynamic or reversible chemistry approaches as self-assembly, self-selection or self-evolving libraries. The already generated impressive set of tools for productivity acceleration demonstrates the broad applicability of CHT experimentation technologies in catalysis. This is the foundation for continuing, substantial improvements in the efficiency and economics of catalytic processes.

This Special Issue focuses on recent advances in catalyst discovery and optimization via combinatorial and high-throughput methods in homogeneous and heterogeneous catalysis, as well as in biocatalysis. The Special Issue scope also includes methodological and theoretical approaches and developments. The Special Issue further aims to establish this matured field by monitoring recent developments in catalyst synthesis, characterization, and data mining. Also, industrial applications of catalyst developments are welcome, especially when they illustrate successful applications of high-throughput technologies.

Prof. Dr. Klaus Stöwe
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Catalysts is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • heterogeneous, homogeneous 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

Published Papers (2 papers)

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2701 KiB  
Article
High-Throughput Screening as a Supplemental Tool for the Development of Advanced Emission Control Catalysts: Methodological Approaches and Data Processing
by Andreas Sundermann and Olga Gerlach
Catalysts 2016, 6(2), 23; https://doi.org/10.3390/catal6020023 - 29 Jan 2016
Cited by 13 | Viewed by 8200
Abstract
A high-throughput (HT) screening platform developed at hte with the application focus on automotive catalysis is described. hte HT units are configured for performing steady-state testing, as well as dynamic tests with fast feed switches, such as lean/rich excursions for the evaluation of [...] Read more.
A high-throughput (HT) screening platform developed at hte with the application focus on automotive catalysis is described. hte HT units are configured for performing steady-state testing, as well as dynamic tests with fast feed switches, such as lean/rich excursions for the evaluation of NOx storage capacity and efficiency of lean NOx traps (LNT), ammonia storage capacity for selective catalytic reduction (SCR), evaluation of oxygen storage capacity (OSC), as well as lambda sweep tests for screening of three-way catalysts (TWC). Even though catalysts are screened on a rather small scale (~100 mg powder), experience showed that dosing rather complex gas mixtures in concentrations close to that found in real exhaust for the given application is mandatory to generate relevant data. The objective of this work is to give additional insight into HT technology. In the industrial research laboratory, HT screening has matured to become a reliable approach for rapid screening of both reaction parameter spaces, as well as material properties relevant for exhaust gas catalyst development. Due to the speed of optimized screening involving 48 parallel reactors, automated handling of primary data is an imported requirement. Software for data reduction, like estimation of light-off temperature, needs to be robust and handle results for diverse sample libraries in an unattended fashion. In combination with the statistical design of experiment and multivariate data analysis, HT testing has become a valuable enhancement to automotive catalyst development. Full article
(This article belongs to the Special Issue High-Throughput Catalysts)
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795 KiB  
Article
Information-Driven Catalyst Design Based on High-Throughput Intrinsic Kinetics
by Kristof Van der Borght, Kenneth Toch, Vladimir V. Galvita, Joris W. Thybaut and Guy B. Marin
Catalysts 2015, 5(4), 1948-1968; https://doi.org/10.3390/catal5041948 - 16 Nov 2015
Cited by 36 | Viewed by 7226
Abstract
A novel methodology is presented for more comprehensive catalyst development by maximizing the acquired information rather than relying on statistical methods or tedious, elaborate experimental testing. Two dedicated high-throughput kinetics (HTK) set-ups are employed to achieve this objective, i.e., a screening (HTK-S) and [...] Read more.
A novel methodology is presented for more comprehensive catalyst development by maximizing the acquired information rather than relying on statistical methods or tedious, elaborate experimental testing. Two dedicated high-throughput kinetics (HTK) set-ups are employed to achieve this objective, i.e., a screening (HTK-S) and a mechanistic investigation one (HTK-MI). While the former aims at evaluating a wide range of candidate catalysts, a limited selection is more elaborately investigated in the latter one. It allows focusing on an in-depth mechanistic analysis of the reaction mechanism resulting in so called “kinetic” descriptors and on the effect of key catalysts properties, also denoted as “catalyst” descriptors, on the catalyst performance. Both types of descriptors are integrated into a (micro)kinetic model that allows a reliable extrapolation towards operating conditions and catalyst properties beyond those included in the high-throughput testing. A case study on ethanol conversion to hydrocarbons is employed to illustrate the concept behind this methodology. The methodology is believed to be particularly useful for potentially large-scale chemical reactions. Full article
(This article belongs to the Special Issue High-Throughput Catalysts)
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