Performance of an electronic nose for quality estimation of ground meat

An electronic nose is described, which consists of a gas sensor array combined with a pattern recognition routine. The sensor array used consists of ten metal-oxide-semiconductor field effect transistors with gates of catalytically active metals. It also contains four commercially available chemical sensors based on tin dioxide, so-called Taguchi sensors. In some studies, a carbon dioxide monitor based on infrared absorption is also used. Samples of ground beef and pork, stored in a refrigerator, have been studied. Gas samples from the meat were then led to the sensor array, and the resulting patterns of sensor signals were treated with pattern recognition software based on an artificial neural network as well as with an algorithm based on an abductory induction mechanism. When using all sensors for learning, the two nets could predict both type of meat and storage time quite well. Omitting the carbon dioxide monitor, both nets could predict type of meat, but storage time not so well. Finally, it is also shown how a net based on unsupervised training could be used to predict storage time for ground beef.

[1]  R H Dainty,et al.  Volatile compounds associated with the aerobic growth of some Pseudomonas species on beef. , 1984, The Journal of applied bacteriology.

[2]  Ingemar Lundström,et al.  Chemical sensor arrays and abductive networks , 1992 .

[3]  B. Mathisen,et al.  The use of palladium metal oxide semiconductor structures in quantitative studies of H2 and H2S in processes related to biogas production , 1991 .

[4]  I. Lundström,et al.  Thin metal film—oxide—semiconductor structures with temperature-dependent sensitivity for unsaturated hydrocarbons , 1987 .

[5]  Ingemar Lundström,et al.  Ethylene production from fruits measured by a simple field-effect structure and compared with a gas chromatographic method , 1990 .

[6]  Julian W. Gardner,et al.  Sensors and Sensory Systems for an Electronic Nose , 1992 .

[7]  Ingemar Lundström,et al.  Catalytic metals and field-effect devices—a useful combination , 1990 .

[8]  R H Dainty,et al.  Time course of volatile compound formation during refrigerated storage of naturally contaminated beef in air. , 1985, The Journal of applied bacteriology.

[9]  H. V. Shurmer,et al.  An electronic nose: a sensitive and discriminating substitute for a mammalian olfactory system , 1990 .

[10]  Ingemar Lundström,et al.  Artificial neural networks and gas sensor arrays: quantification of individual components in a gas mixture , 1991 .

[11]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory, Third Edition , 1989, Springer Series in Information Sciences.

[12]  B. Danielsson,et al.  Trace Level Analysis of Mercury Using Urease in Combination with an Ammonia Gas Sensitive Semiconductor Structure , 1988 .

[13]  B. Danielsson,et al.  Hydrogen and ammonia gas-sensitive semiconductor structures in bioanalysis. , 1989, Biotechnology.

[14]  Graham M. Megson,et al.  Transputer arrays and computer-aided control system design , 1990 .

[15]  R H Dainty,et al.  Volatile compounds associated with microbial growth on normal and high pH beef stored at chill temperatures. , 1989, The Journal of applied bacteriology.

[16]  Takamichi Nakamoto,et al.  Identification capability of odor sensor using quartz-resonator array and neural-network pattern recognition , 1990 .

[17]  R. Edwards,et al.  Volatile compounds produced by meat pseudomonads and relate reference strains during growth on beef stored in air at chill temperatures. , 1987, The Journal of applied bacteriology.

[18]  Ingemar Lundström,et al.  Modified palladium metal‐oxide‐semiconductor structures with increased ammonia gas sensitivity , 1983 .