Computational Methods for Sensor Material Selection - Brossura

Libro 6 di 15: Integrated Analytical Systems
 
9781489984166: Computational Methods for Sensor Material Selection

Sinossi

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."

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9780387737140: Computational Methods for Sensor Material Selection

Edizione in evidenza

ISBN 10:  0387737146 ISBN 13:  9780387737140
Casa editrice: Springer, 2009
Rilegato