Lv Siyuan, Gu Tianyi, Pu Qi, Wang Bin, Jia Xiaoteng, Sun Peng, Wang Lijun, Liu Fangmeng, Lu Geyu
State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun, 130012, P. R. China.
International Center of Future Science, Jilin University, 2699 Qianjin Street, Changchun, 130012, P. R. China.
Adv Sci (Weinh). 2024 Sep;11(36):e2405124. doi: 10.1002/advs.202405124. Epub 2024 Jul 23.
Amid growing interest in the precise detection of volatile organic compounds (VOCs) in industrial field, the demand for highly effective gas sensors is at an all-time high. However, traditional sensors with their classic single-output signal, bulky and complex integrated structure when forming array often involve complicated technology and high cost, limiting their widespread adoption. Here, this study introduces a novel approach, employing an integrated YSZ-based (YSZ: yttria-stabilized zirconia) mixed potential sensor equipped with a triple-sensing electrode array, to efficiently detect and differentiate six types of VOCs gases. This innovative sensor integrates NiSbO, CuSbO, and MgSbO sensing electrodes (SEs), which are sensitive to pentane, isoprene, n-propanol, acetone, acetic acid, and formaldehyde gases. Through feature engineering based on intuitive spike-based response values, it accentuates the distinct characteristics of every gas. Eventually, an average classification accuracy of 98.8% and an overall R-squared error (R) of 99.3% for concentration regression toward six target gases can be achieved, showcasing the potential to quantitatively distinguish between industrial hazardous VOCs gases.
在工业领域对挥发性有机化合物(VOCs)精确检测的兴趣日益浓厚之际,对高效气体传感器的需求达到了前所未有的高度。然而,传统传感器具有经典的单输出信号,在形成阵列时结构庞大且复杂,往往涉及复杂的技术和高昂的成本,限制了它们的广泛应用。在此,本研究引入了一种新方法,采用基于YSZ(YSZ:氧化钇稳定的氧化锆)的集成混合电位传感器,该传感器配备了三传感电极阵列,以有效检测和区分六种VOCs气体。这种创新型传感器集成了对戊烷、异戊二烯、正丙醇、丙酮、乙酸和甲醛气体敏感的NiSbO、CuSbO和MgSbO传感电极(SEs)。通过基于直观的尖峰响应值进行特征工程,突出了每种气体的独特特性。最终,对于六种目标气体的浓度回归,平均分类准确率可达98.8%,整体决定系数(R)为99.3%,展示了定量区分工业有害VOCs气体的潜力。