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A field-portable gas analyzer with an array of six semiconductor sensors. Part 2: Identification of beer samples using artificial neural networks

Citation

Alexander, PW and Dimitrakopoulos, LT and Hibbert, DB, A field-portable gas analyzer with an array of six semiconductor sensors. Part 2: Identification of beer samples using artificial neural networks, Field Analytical Chemistry and Technology, 2, (3) pp. 145-153. ISSN 1086-900X (1998) [Refereed Article]

DOI: doi:10.1002/(SICI)1520-6521(1998)2:3<145::AID-FACT3>3.3.CO;2-S

Abstract

A method is described based on a new portable, multisensor gas analyzer applying an artificial neural network to discriminate between six beer brands. The gas analyzer as previously reported employed six different tin-oxide semiconductor sensors, and the detection method was based on headspace analysis of the vapor above beer samples. The artificial neural network (ANN) used in this study was a three-layer network, standard back-propagation algorithm. The network was trained with the use of 553 cycles in 7.11 min at a learning rate of 1.0 and training tolerance of 0.1. A Macintosh PowerBook 1400cs with PowerPC™ 603e at 133-MHz clock frequency and 128-kilobyte Level Two write-through cache memory on a processor system bus was used to train the ANN. This study indicates that the portable, multisensor analyzer is able to discriminate among beers and thus may be used to monitor beer product quality in industrial processes, having the advantage of portability and low cost for use in sites remote from chemical laboratories. Further applications in food technology are in the testing of foods and beverages for quality and shelf life. © 1998 John Wiley & Sons, Inc. Field Analyt Chem Technol 2: 145-153, 1998.

Item Details

Item Type:Refereed Article
Research Division:Chemical Sciences
Research Group:Analytical Chemistry
Research Field:Instrumental Methods (excl. Immunological and Bioassay Methods)
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Chemical Sciences
Author:Alexander, PW (Professor Peter Alexander)
Author:Dimitrakopoulos, LT (Mrs Lucy Tina Dimitrakopoulos)
ID Code:14342
Year Published:1998
Web of Science® Times Cited:6
Deposited By:Applied Science
Deposited On:1998-08-01
Last Modified:2011-08-09
Downloads:0

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