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• W3013277899 abstract "A real-time electric nose (E-nose) with a metal oxide sensor (MOS) array was developed to monitor 5 highly flammable liquids (ethanol, tetrahydrofuran, turpentine, lacquer thinner, and gasoline) in this work. We found that temperature had a significant impact on the test results and temperature control could efficiently improve the performance of our E-nose. The results of our qualitative analysis showed that principal component analysis (PCA) could not efficiently distinguish these samples compared to a back-propagation artificial neural network (BP-ANN) which had a 100% accuracy rate on the test samples. Quantitative analysis was performed by regression analysis and the average errors were 9.1%–18.4%. In addition, through anti-interference training, the E-nose could filter out the potential false alarm caused by mosquito repellent, perfume and hair jelly." @default.
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• W3013277899 date "2020-03-25" @default.
• W3013277899 modified "2023-10-11" @default.
• W3013277899 title "Development of Electronic Nose for Qualitative and Quantitative Monitoring of Volatile Flammable Liquids" @default.
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• W3013277899 doi "https://doi.org/10.3390/s20071817" @default.
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