Mixed-Potential Electrochemical Sensor
    126.
    发明申请

    公开(公告)号:US20180217086A1

    公开(公告)日:2018-08-02

    申请号:US15423067

    申请日:2017-02-02

    Abstract: A three-electrode mixed-potential electrochemical sensor coupled with an artificial neural network data analysis approach can extract concentrations from voltages and identify gas streams consisting of single and binary mixtures of NO2, NO, CO, and C3H8. By using the data from the sensors in biased and unbiased mode, single and binary mixtures can be identified with >98% accuracy identify all single and binary mixtures. While concentrations can be readily extracted from single test gas mixtures through a linear fit to the most sensitive electrode pair, binary mixture concentrations analyzed with an artificial neural network resulted in error distributions with a 95% peak accuracy in concentration with 80% of the data points having an accuracy at the 88% level. The sensor is suitable for control and monitoring of diesel and gasoline engines, turbines, steam power plants, and other combustion technologies.

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