Chemiresistive Graphene Sensors for Ammonia Detection
Chemiresistive Graphene Sensors for Ammonia Detection
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DOI：
10.1021/acsami.8b00853
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发表时间：
2018-05-09
影响因子：
9.5
通讯作者：
Palacios, Tomas
中科院分区：
文献类型：
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作者：
Mackin, Charles;Schroeder, Vera;Palacios, Tomas
这项工作的主要目标是展示一种新型传感器系统，作为一种方便的工具，用于像素化测试台的可重复性和动力学分析。这项工作提出了一种传感器系统，能够以快速方便的方式测量数百个功能化石墨烯传感器。该传感器系统利用了一种新颖的阵列架构，每个像素只需要一个传感器，没有选择器晶体管。该传感器系统是专门用于评估的Co（tpfpp）ClO 4功能化的石墨烯传感器的氨的检测作为以前的工作的扩展。发现Co（tpfpp）ClO 4处理的石墨烯传感器提供比原始石墨烯传感器增加4倍的氨灵敏度。还发现传感器对干扰化合物如水和常见有机溶剂表现出优异的选择性。监测具有160个像素的大型传感器阵列的能力提供了对实际传感器系统开发中的性能变化和再现性关键因素的深入了解。所有传感器都表现出相同的线性相关响应，响应的变化表现出高斯分布，这是变化建模和质量工程目的的关键发现。传感器响应之间的平均相关系数被认为是0.999，表明高度一致的传感器响应和良好的再现性的Co（tpfpp）ClO 4功能化。一个详细的动力学模型来描述传感器的响应曲线。该模型由两个吸附机制-一个可逆的和一个不可逆的，并显示能够拟合实验数据的平均百分误差为0.01%。
The primary objective of this work is to demonstrate a novel sensor system as a convenient vehicle for scaled-up repeatability and the kinetic analysis of a pixelated testbed. This work presents a sensor system capable of measuring hundreds of functionalized graphene sensors in a rapid and convenient fashion. The sensor system makes use of a novel array architecture requiring only one sensor per pixel and no selector transistor. The sensor system is employed specifically for the evaluation of Co(tpfpp)ClO4 functionalization of graphene sensors for the detection of ammonia as an extension of previous work. Co(tpfpp)ClO4 treated graphene sensors were found to provide 4-fold increased ammonia sensitivity over pristine graphene sensors. Sensors were also found to exhibit excellent selectivity over interfering compounds such as water and common organic solvents. The ability to monitor a large sensor array with 160 pixels provides insights into performance variations and reproducibility critical factors in the development of practical sensor systems. All sensors exhibit the same linearly related responses with variations in response exhibiting Gaussian distributions, a key finding for variation modeling and quality engineering purposes. The mean correlation coefficient between sensor responses was found to be 0.999 indicating highly consistent sensor responses and excellent reproducibility of Co(tpfpp)ClO4 functionalization. A detailed kinetic model is developed to describe sensor response profiles. The model consists of two adsorption mechanisms-one reversible and one irreversible and is shown capable of fitting experimental data with a mean percent error of 0.01%.