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Analysis of a calibration method for non-stationary CVD multi-layered graphene-based gas sensors

机译:非静止CVD多层石墨烯基气体传感器校准方法分析

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Limitations such as lack of detected stationary signal and slow signal recovery after detection currently affect graphene-based chemi-sensors operating at room temperature. In this work, we model the behavior of a sensor in a test chamber having limited volume and simulating the environmental conditions. From this model, we mathematically derive the calibration method for the sensor. The approach, focused on the time differential of the signal output, is tested on multilayered graphene (MLG)-based sensors towards the chosen target gas (nitrogen dioxide) in the range from 0.12 to 1.32 ppm. MLG acting as sensing layer is synthesized by chemical vapor deposition. Our study paves the route for a wider applicability of the analysis to calibrate the class of devices affected by non-stationary and recovery issues.
机译:诸如检测后缺乏检测信号和慢速信号恢复的限制当前影响在室温下操作的石墨烯的化学传感器。 在这项工作中,我们在具有有限的体积和模拟环境条件的测试室中模拟传感器的行为。 从该模型中,我们数学上得出了传感器的校准方法。 在基于0.12至1.32ppm的范围内,在多层石墨烯(MLG)的传感器上测试了在信号输出的时间差异的方法上的方法,其在0.12至1.32ppm的范围内。 通过化学气相沉积合成作为感测层的MLG。 我们的研究铺平了对分析的更广泛适用性的路线,以校准受非稳定和恢复问题影响的一类。

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