Development of New Sensing Materials Using Combinatorial and High-Throughput Experimentation

Part of the Integrated Analytical Systems book series (ANASYS)


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 to promote additional fruitful interactions between computational scientists and experimentalists.


Imprint Polymer Home Blood Glucose Kinetic Association Combinatorial Screening Conductometric Sensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Chemical and Biological Sensing Laboratory, Materials Analysis and Chemical Sciences, General Electric CompanyGlobal Research CenterNew YorkUSA
  2. 2.Department of NanobiotechnologyLausitz University of Applied SciencesSenftenbergGermany

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