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Sensors for High-Throughput Materials Characterization: 24-channel Array of Quartz Crystal Microbalances

机译:用于高通量材料的传感器表征:24通道阵列的石英晶体微稳压

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We have developed a multichannel materials characterization system based on thickness-shear mode (TSM) sensors, also known as quartz crystal microbalances (QCMs). The sensors are arranged as a 6 x 4 array that is compatible with available 24-well plates that can be manipulated with standard robotic equipment. Our sensor system can measure frequencies from 5 MHz to 20 MHz with a noise level of less than 0.1 Hz for a 1 sec acquisition interval. The sensors can be placed in a gas-flow-though cell for studies of vapor-sorption properties, or they can be immersed into a 24-well plate array for studies of materials solubility. The sensor array is connected to the measurement electronics through a multi-conductor cable, enabling the sensors to be operated in a temperature, pressure, or chemical environment, which would otherwise adversely affect the electronic stability. The 24-channel array has been applied to the screening of sensor materials for determination of chlorinated organic solvents at part per billion levels in groundwater wells. The primary screen is the discovery screen where materials are exposed to a single analyte concentration. The secondary screen is the focused evaluation where the best subset of these materials is exposed to analytes and interferences. The tertiary screen involves evaluation of material performance under conditions mimicking the long-term application. Six families of potential sensor materials were examined with rapid downselection by using this approach.
机译:我们开发了一种基于厚度剪切模式(TSM)传感器的多通道材料表征系统,也称为石英晶体微稳定(QCMS)。传感器布置为6×4阵列,其与可用标准机器人设备可以操纵的可用24孔板兼容。我们的传感器系统可以测量5 MHz至20 MHz的频率,噪声水平小于0.1Hz,对于1秒采集间隔。传感器可以放置在气流 - 虽然细胞中,以用于研究蒸汽吸附性能,或者它们可以浸入24孔板阵列中,用于研究材料溶解度。传感器阵列通过多导体电缆连接到测量电子器件,使传感器能够在温度,压力或化学环境中操作,否则会对电子稳定性产生不利影响。 24通道阵列已被应用于传感器材料的筛选,用于在地下水孔中的每亿个百万水平下测定氯化有机溶剂。主屏幕是发现屏幕,其中材料暴露于单一分析物浓度。二次屏幕是聚焦评估,其中这些材料的最佳子集暴露于分析物和干扰。第三型屏幕涉及在模仿长期申请的条件下评估材料性能。通过使用这种方法,通过快速缩短检查六个潜在的传感器材料。

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