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9781590337370: Chemical Analysis Based on Nonlinearity

Sinopsis

Chemical sensors are widely used to detect the presence of a target substance in clinical, environmental, food, and industrial applications. Seven chapters contributed by Japanese scientists and engineers describe the principles, challenges, and novel types of chemical sensors being developed which mimic biological detectors responsive to multi-dimensional neural information. Nakata (chemistry, Nara U. of Education, Japan), who is the main contributor, concludes that time-dependent nonlinear properties are part of the solution rather than the problem in developing artificial sensors. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)

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Reseña del editor

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 utilise the sensor response, together with recent advancement of computational power. This suggests that the temporal change in the sensor response is utilised 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 non-linear phenomena and it may be worthwhile to utilise the non-linearity as the mult

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