Cao Yunqi, Fu Mengyao, Fan Shuyu, Gao Chenyang, Ma Zhiqiang, Hou Dibo
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China.
ACS Appl Mater Interfaces. 2024 Feb 14;16(6):7721-7731. doi: 10.1021/acsami.3c16228. Epub 2024 Jan 30.
Metal-organic frameworks (MOFs) have great potential in quartz crystal microbalance (QCM) platforms for volatile organic compound (VOCs) detection and recognition due to their unique properties. However, the MOFs' hydrophilicity degrades performance in high-humidity environments, limiting reliable VOC sensing in complex environments. Herein, we propose a novel VOC virtual sensor array (VSA) using a single QCM sensor with an adsorption layer composed of MIL-101(Cr) MOF and polydimethylsiloxane (PDMS), realizing stable sensing and accurate identification for different VOCs under various relative humidity (RH) conditions. The hydrophobic PDMS layer improves the moisture resistance of the sensor to 4 and 14 times in terms of shifts in resonant frequency and scattering parameters, respectively. In addition, performance is maintained over 2 days of water treatment, demonstrating superior water resistance. The highest sensitivity of 2.68 mdB ppm is achieved for isopropanol detection, with the lowest limit of detection of 20.06 ppm for acetone. Combining resonant signals and lumped parameters, the proposed VSA technique effectively discriminates four VOCs (ethanol, 2-propanol, acetone, and acetonitrile) with a high accuracy of 95.3% under both 60% and 90% RH backgrounds. The studies provide a promising solution for reliable low-concentration VOC detection using QCM sensors in high-humidity environments such as underground spaces.
金属有机框架材料(MOFs)因其独特的性质,在用于挥发性有机化合物(VOCs)检测和识别的石英晶体微天平(QCM)平台中具有巨大潜力。然而,MOFs的亲水性在高湿度环境下会降低性能,限制了在复杂环境中进行可靠的VOC传感。在此,我们提出了一种新型的VOC虚拟传感器阵列(VSA),它使用单个QCM传感器,其吸附层由MIL-101(Cr)MOF和聚二甲基硅氧烷(PDMS)组成,实现了在各种相对湿度(RH)条件下对不同VOCs的稳定传感和准确识别。疏水的PDMS层分别使传感器在共振频率偏移和散射参数方面的耐湿性提高了4倍和14倍。此外,经过2天的水处理后性能仍能保持,显示出卓越的防水性。异丙醇检测的最高灵敏度达到2.68 mdB ppm,丙酮的最低检测限为20.06 ppm。结合共振信号和集总参数,所提出的VSA技术在60%和90% RH背景下均能有效区分四种VOCs(乙醇、2-丙醇、丙酮和乙腈),准确率高达95.3%。这些研究为在地下空间等高湿度环境中使用QCM传感器进行可靠的低浓度VOC检测提供了一个有前景的解决方案。