Electronic Nose for Detecting of Impure Gasoline

Gasoline is the main fuel for all almost vehicles. The pure gasoline is important to keep vehicle operating. Unfortunately there is a bad behavior in our society that mixes gasoline with another material. Of course it will contaminate gasoline and destroy the machine. For a long time (until now) test of pure gasoline has been conduct only at laboratory, because it is not a simple procedure and the cost is so expensive. The samples are collected from everywhere, and then it is brought to the laboratory. This method is not efficient. The device that can detect pure gasoline quick and efficient is needed.

In this time, It was proposed Electronic Nose that can distinguish pure gasoline from impure gassoline. This device will sense gasoline, then gives output about its status, whether pure or not.

Electronic Noses are electronic device that have ability likes human nose. These device is typically array of sensors used to characterize complex samples. Arrays of sensor in these device is arrays of 4 gas sensors. The data generated by each sensor are processed by a neural network algorithm. Perceptron model is chosen, because it needs only two condition output, pure and impure gasoline. The neural network algorithm was run using PC. Asembly (microcontroller software), Matlab, and Visual Basic Language programming were used in this system.

From the experiments can be concluded that the system has been work properly with 90% accuracy. Hope that the system can give solution to ensure gasoline purity problem in our society.

--> This Research was funded by DIKTI (Hibah Bersaing 2008 & 2009)

(It was published on ICTS- International Converence On Informatic and Communication Technology 2009, Surabaya agustus 2009)