J. Gardner / Philip N. Bartlett (Hgg.)

Sensors and Sensory Systems for an Electronic Nose

Herausgegeben:Gardner, J.; Bartlett, Philip N.

• Gebundenes Buch

Produktbeschreibung

Sensors and Sensory Systems for an Electronic Nose reviews the current state of progress in the development of an electronic instrument capable of olfaction. The instrument -- the so-called electronic nose -- has enormous potential for application in such areas as product flavor control and environmental monitoring.
The book discusses the essential elements of an electronic nose, such as chemical sensors, signal processing, and pattern recoginiton techniques. It is also one of the first contributions to the new and exciting field of machine olfaction.

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Produktdetails

• Nato Science Series E: 212
• Verlag: Springer / Springer Netherlands
• Artikelnr. des Verlages: 978-0-7923-1693-0
• 1992.
• Seitenzahl: 340
• Erscheinungstermin: 30. April 1992
• Englisch
• Abmessung: 241mm x 160mm x 23mm
• Gewicht: 655g
• ISBN-13: 9780792316930
• ISBN-10: 0792316932
• Artikelnr.: 22368830

Inhaltsangabe

Odours - The Stimulus for an Electronic Nose.- Biophysical Properties of Olfactory Receptor Neurones.- Molecular Modeling and the Selective Sensor Response.- Odour Sensors for an Electronic Nose.- Fundamentals and Recent Developments of Homogeneous Semiconducting Sensors.- Fine-Tuning of Electron- and Ion-Conducting Materials for Sensor Arrays.- Microsensors Based on Modulation of Work Function.- Studies of the Interactions between Organic Vapours and Organic Semiconductors. Applications to Chemical Sensing.- Silicon Based Surface Acoustic Wave Gas Sensors.- Miniaturisation of Gas Sensor Substrate. Problems and Benefits of Microelectronic Technology.- Pattern Recognition in Odour Sensing.- Desired and Achieved Characteristics of Sensor Arrays.- The Use of Pattern Recognition Techniques applied to Signals Generated by a Multi-Element Gas Sensor Array as a Means of Compensating for Poor Individual Element Response.- Pattern Recognition in Electronic Noses by Artificial Neural Network Models.- Sensor Arrays Using Conducting Polymers for an Artificial Nose.- Monitoring of Fish Freshness Using Tin Oxide Sensors.- Chemical Sensor Arrays: Practical Insights and Examples.- Electronic Noses Based on Field Effect Structures.