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As demand has increased for innovative methods in simple everyday monitoring, chemists are focusing on chemical sensors based on molecular recognition chemistry. Conventional approaches involved the development of selective chemical sensors to specifically detect species of interest, whilst more recent studies have revealed the potential of cross-reactive molecular recognition. Such approaches, combined with pattern recognition, are a powerful technique to gain much qualitative and quantitative information. However, pattern recognition is frequently misunderstood and misinterpreted, leading to inaccurate interpretation of results.
Chemosensor Arrays: Fundamental Pattern Recognition, Development and Applications aims to help researchers in the design and application of chemosensor arrays, and the accurate interpretation of data patterns in molecular recognition chemistry. Beginning with an introduction to chemosensing, the principles of chemosensors, and the fundamentals of computational principles and methods for chemical sensing, the book goes on to explore some key design strategies and examples with chapters on a biological nose, artificial nose and artificial tongue. Applications to real world scenarios are then discussed, followed by consideration of future needs and developments in the field. Based on the cross-disciplinary experience of its expert authors, Chemosensor Arrays: Fundamental Pattern Recognition, Development and Applications provides practical advice for all those interested in pattern recognition-driven chemical sensing.
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