DocumentCode :
2705416
Title :
Detection of contraband food products with a hybrid chemical sensor system
Author :
Pardo, M. ; Kwong, L.G. ; Sberveglieri, G. ; Schneider, J. ; Penrose, W.R. ; Stetter, J.R.
Author_Institution :
INFM, Brescia Univ., Italy
Volume :
2
fYear :
2003
fDate :
22-24 Oct. 2003
Firstpage :
1073
Abstract :
The U.S. Department of Agriculture (USDA) is responsible for the interdiction of agricultural products, especially fruits and meats, from abroad. They do this in order to prevent the importation of exotic pests and diseased or defective food products. At present, inspectors select passenger bags and shipping containers at random, and physically inspect them. Trained dogs are sometimes used, but little in the way of instrumentation has been exploited. We have begun preliminary work towards developing a sensor array (electronic nose) device specifically to detect meat and fruit in baggage under a USDA contract. The rational design of a sensor array-based instrument for detecting contraband agricultural products in airline freight involves (a) identification of specific vapors typically found in the headspace above various samples of meat and fruit, and (b) identification of a minimum set of sensors that will allow efficient detection. We present the results obtained in measuring diverse food products with the Moses II electronic nose (EN) equipped with three different classes of chemical sensors, namely quartz micro-balances (QMB), semiconductor sensors (S) and electrochemical cells (EC).
Keywords :
agricultural products; chemical sensors; chemioception; Moses II electronic nose; airline freight; contraband agricultural products; contraband food products; electrochemical cells; electronic nose; hybrid chemical sensor system; quartz microbalances; semiconductor sensors; Agricultural products; Chemical sensors; Containers; Contracts; Dogs; Electronic noses; Food products; Instruments; Sensor arrays; US Department of Agriculture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2003. Proceedings of IEEE
Print_ISBN :
0-7803-8133-5
Type :
conf
DOI :
10.1109/ICSENS.2003.1279108
Filename :
1279108
Link To Document :
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