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Detection of bacteria causing eye infections using a neural network based electronic nose system

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UNSPECIFIED (2000) Detection of bacteria causing eye infections using a neural network based electronic nose system. In: 7th International Symposium on Olfaction and Electronic Noses (ISOEN 2000), JUL, 2000, BRIGHTON, ENGLAND.

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Abstract

An electronic nose (e-nose) data logger (Cyrano Sciences Inc, USA), comprising an array of thirty-two polymer carbon black composite sensors has been used to identify six species of bacteria, commonly associated with eye infections, over a range of concentrations in saline solutions. Readings were taken from the headspace of the samples by manually introducing the portable e-nose system into sterile glass vials containing a fixed volume of bacteria in suspension. After some data pre-processing, principal components analysis (PCA) and other exploratory techniques were used to investigate the clustering of the response vectors in multi-sensor space. Then, three supervised predictive classifiers, namely multi-layer perceptron (MLP), radial basis function (RBF), and Fuzzy ARTMAP, were used to identify the different bacteria. The optimal MLP network was found to classify correctly 97.3% of unknown bacteria types. The optimal RBF and Fuzzy ARTMAP algorithms were able to predict unknown bacteria with accuracies of 96.3% and 86.1%, respectively. A RBF network was able to discriminate between the six bacteria species even in the lowest state of concentration with 92.8% accuracy. These results show the potential application of neural network-based e-noses for rapid screening and early detection of bacteria causing eye infections and the possible development of a Cyrano e-nose as a near-patient tool in primary medical care.

Item Type: Conference Item (UNSPECIFIED)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Series Name: SENSORS SERIES
Journal or Publication Title: ELECTRONIC NOSES AND OLFACTION 2000
Publisher: IOP PUBLISHING LTD
ISBN: 0-7503-0764-1
Editor: Gardner, JW and Persaud, KC
Date: 2000
Number of Pages: 8
Page Range: pp. 189-196
Publication Status: Published
Title of Event: 7th International Symposium on Olfaction and Electronic Noses (ISOEN 2000)
Location of Event: BRIGHTON, ENGLAND
Date(s) of Event: JUL, 2000
URI: http://wrap.warwick.ac.uk/id/eprint/10262

Data sourced from Thomson Reuters' Web of Knowledge

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