Li Fu-An, Jin Han, Wang Jinxia, Zou Jie, Jian Jiawen
Gas Sensors & Sensing Technology Lab., Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China.
School of Information Engineering, Huangshan University, Huangshan 245021, China.
Sensors (Basel). 2017 Mar 12;17(3):573. doi: 10.3390/s17030573.
A new strategy to discriminate four types of hazardous gases is proposed in this research. Through modulating the operating temperature and the processing response signal with a pattern recognition algorithm, a gas sensor consisting of a single sensing electrode, i.e., ZnO/In₂O₃ composite, is designed to differentiate NO₂, NH₃, C₃H₆, CO within the level of 50-400 ppm. Results indicate that with adding 15 wt.% ZnO to In₂O₃, the sensor fabricated at 900 °C shows optimal sensing characteristics in detecting all the studied gases. Moreover, with the aid of the principle component analysis (PCA) algorithm, the sensor operating in the temperature modulation mode demonstrates acceptable discrimination features. The satisfactory discrimination features disclose the future that it is possible to differentiate gas mixture efficiently through operating a single electrode sensor at temperature modulation mode.
本研究提出了一种区分四种有害气体的新策略。通过利用模式识别算法调节工作温度和处理响应信号,设计了一种由单个传感电极(即ZnO/In₂O₃复合材料)组成的气体传感器,用于区分50 - 400 ppm浓度范围内的NO₂、NH₃、C₃H₆、CO。结果表明,在In₂O₃中添加15 wt.%的ZnO后,在900℃制备的传感器在检测所有研究气体时表现出最佳传感特性。此外,借助主成分分析(PCA)算法,在温度调制模式下工作的传感器表现出可接受的区分特性。这些令人满意的区分特性揭示了通过在温度调制模式下操作单个电极传感器来有效区分气体混合物的可能性。