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Chemical Analysis Based on Nonlinearity
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Authors: Nakata, Satoshi (Nara University of Education, Japan) 
Book Description:
A large number of chemical sensors have been developed in various fields (e.g., clinical, environmental, food, and industrial) to quantitatively detect a target sample because a rapid chemical analysis (e.g., a gas warning system or a urine sugar checker) is necessary to ensure our daily life and work, and to easily check the condition of our health. Development of surface modification on the chemical sensor may help to enhance the reproducibility and sensitivity of the sensor response. In addition to the development of sensor elements, the signal processing, such as neural network, is noticed to utilize the sensor response, together with recent advancement of computational power. This suggests that the temporal change in the sensor response is utilized as abundant information, in addition to the d.c. value of the sensor response. Actually, chemical structure and concentration in taste and olfaction is transformed into nervous impulses in the nervous cell, i.e., time-dependent multi-dimensional information. Here, we notice that the excitation and pulse generation in the nervous cell are typically nonlinear phenomena and it may be worthwhile to utilize the nonlinearity as the multi-dimensional information for molecular recognition.
In this book, novel chemical sensors based on a time-dependent nonlinear response are described. The strategy may be to artificially mimic information transduction in living organisms. Between describing the significance of time-dependent information which is addressed based on nonlinearity as general view, to the signal processing systems which mimic biological signal processing and are introduced in relation to the chemical analysis, this invaluable book actively involves subjects which are not directly associated with “chemical sensor” until now. However, they are expected to play an important role to develop the system of chemical analysis in the future work.

Table of Contents:
Preface; (Satoshi Nakata, Nara University of Education, Japan); Chapter 1. General View (Kenichi Yoshikawa, Kyoto University, Japan); Chapter 2. Fundamental Principle of “Nonlinear Chemical Sensor” (Satoshi Nakata); Chapter 3. Application to Electrochemical Sensors: 3-1. Excitable Liquid Membrane; 3-2. Nonlinear Impedance System; 3-3. Amperometric Sensor (Satoshi Nakata); 3-4. A Trial of Tasting with Nonlinear Dynamical Responses in an Electrode System (Nobuyuki Mohri, Hyogo Prefectural Institute of Technology, Japan); 3-5. Utilization of the Nature of Electrochemical Synchronization (Satoshi Nakata); Chapter 4. Application to Semiconductor gas Sensors: 4-1. Dynamic Response under Periodic Perturbation (Satoshi Nakata); 4-2. Multiple Feature Extraction Approach for Gas Sensing (Nicolae Barsan and Udo Weimar, Institute of Physical and Theoretical Chemistry, University of Tuebingen, Germany); 4-3. Practical Application of Nonlinear Responses (You Kato and Kimiko Kato, Figaro Engineering Inc., Japan); Chapter 5. Signal Processing: 5-1. Simple Signal Processing Depends on Geometry of Medium (Motoike N. Ikuko, Future University, Japan); 5-2. Biomimetic Sensing in Excitable Media: Constructive Role of Noise and Periodic Fluctuations (Amemiya Takashi, Tomohiko Yamaguchi, Japan); 5-3. Design of Magnetotaxis in Chemistry (Kazuhiro Honda, Kanagawa Institute of Technology, Japan; Yoshihito Mori, Ochanomizu University, Japan); Chapter 6. Utilization of Spatio-Temporal Information and Chemotactic System Under Nonequilibrium: 6-1. Self-adaptation to Chemical Environment (Satoshi Nakata); 6-2. Epidermis of the Skin as a Self-organizing Electrochemical Sensor (Mitsuhiro Denda, Shiseido Life Science Research Center, Japan); 6-3. Application of Nonlinear Spatial Pattern to the DNA Measurement (Satoshi Sasak, Tokyo University of Technology, Japan); Chapter 7. Conclusion (Satoshi Nakata); Index.

   Binding: Hardcover
   Pub. Date: 2003
   ISBN: 1-59033-737-9
  
  
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Chemical Analysis Based on Nonlinearity