UNSPECIFIED (2003) Non-destructive egg freshness determination: an electronic nose based approach. MEASUREMENT SCIENCE & TECHNOLOGY, 14 (2). pp. 190-198. ISSN 0957-0233

Full text not available from this repository.

Abstract

An electronic nose (EN) based system, which employs an array of four inexpensive commercial tin-oxide odour sensors, has been used to analyse the state of freshness of eggs. Measurements were taken from the headspace of four sets of eggs over a period of 20-40 days, two 'types of egg data' being gathered using our EN; one type of 'data' related to eggs without a hole in the shells and the other type of 'data' related to eggs wherein we made tiny holes in the shells. Principal component analysis, fuzzy C means, self-organizing maps and 3D scatter plots were used to define regions of clustering in multisensor space according to the state of freshness of the eggs. These were correlated with the 'use by date' of the eggs. Then four supervised classifiers, namely multilayer perceptron, learning vector quantization, probabilistic neural network and radial basis function network, were used to classify the samples into the three observed states of freshness. A comparative evaluation of the classifiers was conducted for this application. The best results suggest that we are able to predict egg freshness into one of three states with up to 95% accuracy. This shows good potential for commercial exploitation.

Item Type:	Journal Article
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Journal or Publication Title:	MEASUREMENT SCIENCE & TECHNOLOGY
Publisher:	IOP PUBLISHING LTD
ISSN:	0957-0233
Date:	February 2003
Volume:	14
Number:	2
Number of Pages:	9
Page Range:	pp. 190-198
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/10003

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item