Margaret A. Ryan / Abhijit V. Shevade / Charles J. Taylor / M. L. Homer / Mario Blanco (eds.)

Computational Methods for Sensor Material Selection

Herausgegeben:Ryan, Margaret A.; Shevade, Abhijit V.; Taylor, Charles J.; Homer, M. L.; Blanco, Mario; Stetter, Joseph R.

• Gebundenes Buch

Produktbeschreibung

This volume provides an in-depth analysis of the components and computational methods required in sensor material selection. Readers will find a discussion of applications that include process control, medical diagnosis and environmental monitoring.

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Chemical vapor sensing arrays have grown in popularity over the past two decades, finding applications for tasks such as process control, environmental monitoring, and medical diagnosis. This is the first in-depth analysis of the process of choosing materials and components for these "electronic noses", with special emphasis on computational methods. For a view of component selection with an experimental perspective, readers may refer to the complementary volume of Integrated Microanalytical Systems entitled "Combinatorial Methodologies for Sensor Materials."

Produktdetails

• Integrated Analytical Systems
• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 11744511, 978-0-387-73714-0
• 2010 edition
• Seitenzahl: 319
• Erscheinungstermin: 16. Oktober 2009
• Englisch
• Abmessung: 242mm x 167mm x 30mm
• Gewicht: 664g
• ISBN-13: 9780387737140
• ISBN-10: 0387737146
• Artikelnr.: 23348472

Inhaltsangabe

First Principles Methods For Materials Evaluation.- Introduction: Experimental Methods in Chemical Sensor and Sensor Array Evaluation and Development.- Electromechanical and Chemical Sensing at the Nanoscale: DFT and Transport Modeling.- Quantum Mechanics and First-Principles Molecular Dynamics Selection of Polymer Sensing Materials.- Prediction of Quartz Crystal Microbalance Gas Sensor Responses Using Grand Canonical Monte Carlo Method.- Computer-Aided Design of Organic Host Architectures for Selective Chemosensors.- First Principles Molecular Modeling of Sensing Material Selection for Hybrid Biomimetic Nanosensors.- Statistical And Multivariate Methods For Materials Evaluation.- Development of New Sensing Materials Using Combinatorial and High-Throughput Experimentation.- Chemical Sensor Array Response Modeling Using Quantitative Structure-Activity Relationships Technique.- Design and Information Content of Arrays of Sorption-Based Vapor Sensors Using Solubility Interactions and Linear Solvation Energy Relationships.- Designing Sensing Arrays.- A Statistical Approach to Materials Evaluation and Selection for Chemical Sensor Arrays.- Statistical Methods for Selecting the Components of a Sensing Array.- Hybrid Arrays for Chemical Sensing.- Future Directions.- Future Directions.

Rezensionen

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)