ELECTRONIC NOSE & ITS APPLICATION

5.ADVANTAGES OVER HUMAN SNIFFERS

 

          The human sniffers are costly when compared to electronic nose. It is because these people have to be trained. This is a time consuming that a construction of an electronic nose. Now for the confirmation of the values obtained from a sniffer the result obtained from the sniffer has to be compared with some other sniffer’s value. And here there are great chances of difference in the values got by each individual. Detection of hazardous or poisonous gas is not possible with a human sniffer. Thus taking into consideration all these cases we can say that electronic nose is highly efficient than human sniffer.

 

 6.OTHER APPLICATIONS OF ELECTRONIC NOSES

                        There are various applications in which an electronic nose may be used. For example, to monitor the characteristic odour generated by a manufactured product (e.g. drink, food, tobacco, soaps). The electronic nose research group has considerable experience in the analysis of coffee odours (e.g. roasting level and bean type), lager beer odours (lager type and malodours) as well as having analysed tobaccos, spirits, wines, transformer oils, plastics and drinking water. More recent work is on the use of e-noses for medical diagnostics and biotechnology. It is also used in automotives. The use of this over here is to analyse quantity of smoke that is given out and the quantity of the desired gas. One another application is for environmental monitoring especially to test the presence of poisonous material in the environment. It is also used for military application for the very same purpose. It is also used in medical field.

                                   7.Conclusions 

                          In this contribution I presented a description of E-Nose the advantage of which consists in the sensor type and in the data analysis software. Thin film semiconductor sensors are stable and sensitive, while the Mat lab toolbox permits to reliably analyze small datasets. Two groups of measurements on coffee samples were analyzed. Classification figures of over 90% for both groups have been obtained with PCA and multilayer perceptrons. More importantly, EN data have been correlated with panel test judgments. As far as we know, the prediction of a global sensorial parameter, as the coffee’s hedonic index, using just EN data has been never reported. These results show that it is possible to use the Electronic Nose for routine work in food quality analysis.

                         Researches are still going on to make electronic nose much more compact than the present one to make it more compact and to make electronic nose I.C.s. In future we might be able to manufacture olfactory nerves.

 

8.Reference

 

1. IEEE Transactions on instrumentation and measurements, 2002
2. IEEE SPECTRUM, 1996
3. www.iit.edu

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