Integrated Analytical Systems

Computational Methods for Sensor Material Selection

Editors: Ryan, M.A., Shevade, A.V., Taylor, C.J., Homer, M.L., Blanco, M., Stetter, J.R. (Eds.)

  • One of the first volumes in the comprehensive new Springer series Integrated Microanalytical Sytems, edited by R. Potyrailo
  • Complements the experimental approach in series volume, "Combinatorial methods for sensor materials," by Potyrailo and Mirsky
  • First book exclusively devoted to the selection of sensors and components for a chemical sensing array
  • Applications of "electronic noses" include process control, medical diagnosis, and environmental monitoring
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eBook $169.00
price for USA (gross)
  • ISBN 978-0-387-73715-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $219.00
price for USA
  • ISBN 978-1-4899-8416-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

In Computational Methods for Sensor Material Selection, experts discuss the design and selection of active sensing surfaces for chemical sensors, particularly sensors used in vapor sensing arrays or electronic noses.

Part I covers first principles.

Part II focuses on identifying and evaluating candidate sensing materials and covers such topics as calculations of sensor-analyte interactions, statistical and semi-empirical methods based on characteristics of sensing material and analyte, and new experimental methods.

Part III advises on selecting materials for inclusion in arrays by use of statistical methods and algorithm-based methods for evaluating the array response to target analytes.

This book will appeal to researchers in academia and industry involved in chemical vapor sensing and monitoring. Also, it will be of special interest to those who are developing devices based on chemical sensing arrays.

Reviews

From the reviews:

“The book is written in a comprehensible manner. Each chapter contains descriptive examples. After a short introduction, the book gives very detailed information about scientific issues in each topic. Besides quantum mechanical principles, statistical approaches are covered as well. Therefore, all important topics for selecting sensing materials for chemical vapor sensing are covered. Owing to this excellent collection, the book is recommended for all scientists working on chemical vapor sensing.”­­­ (Felix Kolarov, Analytical and Bioanalytical Chemistry, Vol. 397, May, 2010)

Table of contents (13 chapters)

  • Introduction: Experimental Methods in Chemical Sensor and Sensor Array Evaluation and Development

    Stetter, Joseph R.

    Pages 3-46

  • Electromechanical and Chemical Sensing at the Nanoscale: DFT and Transport Modeling

    Maiti, Amitesh

    Pages 47-69

  • Quantum Mechanics and First-Principles Molecular Dynamics Selection of Polymer Sensing Materials

    Blanco, Mario (et al.)

    Pages 71-92

  • Prediction of Quartz Crystal Microbalance Gas Sensor Responses Using Grand Canonical Monte Carlo Method

    Nakamoto, Takamichi

    Pages 93-111

  • Computer-Aided Design of Organic Host Architectures for Selective Chemosensors

    Hay, Benjamin P. (et al.)

    Pages 113-133

Buy this book

eBook $169.00
price for USA (gross)
  • ISBN 978-0-387-73715-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $219.00
price for USA
  • ISBN 978-1-4899-8416-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computational Methods for Sensor Material Selection
Editors
  • Margaret A. Ryan
  • Abhijit V. Shevade
  • Charles J. Taylor
  • M. L. Homer
  • Mario Blanco
  • Joseph R. Stetter
Series Title
Integrated Analytical Systems
Copyright
2010
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
eBook ISBN
978-0-387-73715-7
DOI
10.1007/978-0-387-73715-7
Softcover ISBN
978-1-4899-8416-6
Series ISSN
2196-4475
Edition Number
1
Number of Pages
XV, 319
Topics