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)
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.