Benzene and polyaromatic hydrocarbons are the air-toxic pollutants of primary concern. Both have been identified as mutagenic and carcinogenic. The system based on electronic nose technology is aimed at Using a sensor array to detect and distinguish complex vapour mixtures. A variety of non-specific sensors with slightly different or overlapping responses to each other make up the sensor array. For vapour, a series of quartz crystal sensors modified by chemical materials were introduced. Detecting. The vapour sensor array was employed to qualify the fuels in this analysis. This was done in order to differentiate certain common fuels and also to assess the adulteration rate of fuel. The analyses were all carried out at room temperature. Only up to one sensor response was consumed, Minute for a period of calculation. It was possible to infer, after statistical data analysis including Principal Component Analysis and Neural Network approaches, that the sensor array is capable of distinguishing highly reproducible fuel vapours and determining the rate of fuel adulteration with high reproducibility. Correlation in linear. The findings show that this vapour sensor array can be used as a fuel content screening test. The next research should discuss low-cost and compact dry air instead of nitrogen as a reference gas.
Author (s) Details
Muhammad Rivai
Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
Tasripan
Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/333
No comments:
Post a Comment