Discrimination of Plant Pathogenic Bacteria Using an Electronic Nose

2004 ◽  
Vol 5 (1) ◽  
pp. 21 ◽  
Author(s):  
M. T. Momol ◽  
M. O. Balaban ◽  
F. Korel ◽  
A. Odabasi ◽  
E. A. Momol ◽  
...  

An electronic nose (EN) is an array of chemical sensors, where each sensor has only fractional specificity to a wide range of odor molecules, connected with a suitable pattern recognition system. A rapid, sensitive, specific, nondestructive, and easy-to-use technique such as the EN could be used to detect and identify plant pathogenic bacteria in diagnostic clinics and quarantine labs. In this study, an EN discriminated between plant pathogenic bacteria belonging to up to seven species from seven different genera. Accepted for publication 31 March 2004. Published 5 April 2004.

2018 ◽  
Vol 28 ◽  
pp. 01036 ◽  
Author(s):  
Bartosz Szulczyński ◽  
Jacek Gębicki ◽  
Jacek Namieśnik

The paper presents the possibility of application of fuzzy logic to determine the odour intensity of model, ternary gas mixtures (α-pinene, toluene and triethylamine) using electronic nose prototype. The results obtained using fuzzy logic algorithms were compared with the values obtained using multiple linear regression (MLR) model and sensory analysis. As the results of the studies, it was found the electronic nose prototype along with the fuzzy logic pattern recognition system can be successfully used to estimate the odour intensity of tested gas mixtures. The correctness of the results obtained using fuzzy logic was equal to 68%.


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