Son Jieun, Ji Seulki, Kim Sungho, Kim Soyoung, Kim Seong K, Song Wooseok, Lee Sun Sook, Lim Jongsun, An Ki-Seok, Myung Sung
Thin Film Materials Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon 305-600, Republic of Korea.
Department of Chemical Engineering, Hannam University, Daejeon 34430, Republic of Korea.
ACS Appl Mater Interfaces. 2021 Jan 27;13(3):4703-4710. doi: 10.1021/acsami.0c19010. Epub 2021 Jan 13.
Many research groups have been interested in the quartz crystal microbalance (QCM)-based gas sensors due to their superb sensitivity originated from direct mass sensing at the ng level. Despite such high sensitivities observed from QCM sensors, their ability to identify gas compounds still needs to be enhanced. Herein, we report a highly facile method that utilizes microcolumns integrated on a QCM gas-responsive system with enhanced chemical selectivity for sensing and ability to identify volatile organic compound single gases. Graphene oxide (GO) flakes are coated on the QCM electrode to substantially increase the adsorption of gas molecules, and periodic polydimethylsiloxane microcolumns with micrometer-scale width and height were installed on the GO-coated QCM electrode. The observed frequency shifts upon sensing of various single gas molecules (such as ethanol, acetone, hexane, etc.) can be analyzed accurately using a simple exponential model. The QCM sensor system with and without the microcolumn both exhibited high detection response values above 50 ng/cm for sensing of the gases. Notably, the QCM sensor equipped with the microcolumn features gas identification ability, which is observed as distinct diverging behavior of time constants upon detection of different gases caused by the difference in diffusional transfer of molecules through the microcolumns. For example, the difference in the calculated time constant between ethanol and acetone increased from 22.6 to 92.1 s after installation of the microcolumn. This approach provides an easy and efficient method for identification of single gases, and it may be applied in various advanced sensor systems to enhance their gas selectivity.
许多研究团队都对基于石英晶体微天平(QCM)的气体传感器感兴趣,因为其具有源自纳克级直接质量传感的卓越灵敏度。尽管QCM传感器具有如此高的灵敏度,但其识别气体化合物的能力仍有待提高。在此,我们报告了一种非常简便的方法,该方法利用集成在QCM气体响应系统上的微柱,具有增强的化学选择性用于传感以及识别挥发性有机化合物单一气体的能力。氧化石墨烯(GO)薄片涂覆在QCM电极上,以大幅增加气体分子的吸附,并且在涂覆有GO的QCM电极上安装了具有微米级宽度和高度的周期性聚二甲基硅氧烷微柱。使用简单的指数模型可以准确分析在检测各种单一气体分子(如乙醇、丙酮、己烷等)时观察到的频率偏移。带有和不带有微柱的QCM传感器系统在检测气体时均表现出高于50 ng/cm的高检测响应值。值得注意的是,配备微柱的QCM传感器具有气体识别能力,这表现为在检测不同气体时,由于分子通过微柱的扩散传输差异而导致的时间常数出现明显的发散行为。例如,安装微柱后,乙醇和丙酮之间计算出的时间常数差异从22.6秒增加到了92.1秒。这种方法为单一气体的识别提供了一种简便有效的方法,并且它可能应用于各种先进的传感器系统以提高其气体选择性。