Development of new sensing materials using combinatorial and high-throughput experimentation
- New sensors with improved performance characteristics are needed for applications as diverse as bedside continuous monitoring, tracking of environmental pollutants, monitoring of food and water quality, monitoring of chemical processes, and safety in industrial, consumer, and automotive settings. Typical requirements in sensor improvement are selectivity, long-term stability, sensitivity, response time, reversibility, and reproducibility. Design of new sensing materials is the important cornerstone in the effort to develop new sensors. Often, sensing materials are too complex to predict their performance quantitatively in the design stage. Thus,combinatorial and high-throughput experimentation methodologies provide an opportunity to generate new required data to discover new sensing materials and/or to optimize existing material compositions. The goal of this chapter is to provide an overview of the key concepts of experimental development of sensing materials using combinatorial and high-throughput experimentation tools, and toNew sensors with improved performance characteristics are needed for applications as diverse as bedside continuous monitoring, tracking of environmental pollutants, monitoring of food and water quality, monitoring of chemical processes, and safety in industrial, consumer, and automotive settings. Typical requirements in sensor improvement are selectivity, long-term stability, sensitivity, response time, reversibility, and reproducibility. Design of new sensing materials is the important cornerstone in the effort to develop new sensors. Often, sensing materials are too complex to predict their performance quantitatively in the design stage. Thus,combinatorial and high-throughput experimentation methodologies provide an opportunity to generate new required data to discover new sensing materials and/or to optimize existing material compositions. The goal of this chapter is to provide an overview of the key concepts of experimental development of sensing materials using combinatorial and high-throughput experimentation tools, and to promote additional fruitful interactions between computational scientists and experimentalists.…
Author: | Radislav A. Potyrailo, Vladimir M. MirskyORCiDGND |
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DOI: | https://doi.org/10.1007/978-0-387-73715-7_7 |
Title of the source (English): | Computational Methods for Sensor Material Selection |
Publisher: | Springer |
Place of publication: | New York, NY [u.a.] |
Editor: | Margaret A. Ryan, Abhijit V. Shevade, Charles J. Taylor, M. L. Homer, Mario Blanco, Joseph R. Stetter |
Document Type: | Part of a book (chapter) |
Language: | English |
Year of publication: | 2009 |
First Page: | 151 |
Last Page: | 166 |
Faculty/Chair: | Fakultät 2 Umwelt und Naturwissenschaften / FG Nanobiotechnologie |