Department of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College Street, Toronto, ON M5S 3E5, Canada.
Sensors (Basel). 2020 May 17;20(10):2851. doi: 10.3390/s20102851.
Volatile organic compounds (VOCs) are prevalent in daily life, from the lab environment to industrial applications, providing tremendous functionality but also posing significant health risk. Moreover, individual VOCs have individual risks associated with them, making classification and sensing of a broad range of VOCs important. This work details the application of electrochemically dealloyed nanoporous gold (NPG) as a VOC sensor through measurements of the complex electrical frequency response of NPG. By leveraging the effects of adsorption and capillary condensation on the electrical properties of NPG itself, classification and regression is possible. Due to the complex nonlinearities, classification and regression are done through the use of a convolutional neural network. This work also establishes key strategies for improving the performance of NPG, both in sensitivity and selectivity. This is achieved by tuning the electrochemical dealloying process through manipulations of the starting alloy and through functionalization with 1-dodecanethiol.
挥发性有机化合物（VOCs）在日常生活中普遍存在，从实验室环境到工业应用，它们提供了巨大的功能，但也带来了重大的健康风险。此外，个别 VOC 也存在与之相关的个体风险，因此对广泛的 VOC 进行分类和感测很重要。这项工作详细介绍了通过测量电化学脱合金纳米多孔金（NPG）的复杂电频率响应，将电化学脱合金纳米多孔金（NPG）应用于 VOC 传感器。通过利用吸附和毛细凝聚对 NPG 本身的电特性的影响，可以进行分类和回归。由于复杂的非线性，分类和回归是通过使用卷积神经网络来完成的。这项工作还通过操纵起始合金和用 1-十二硫醇功能化来优化电化学脱合金过程，建立了提高 NPG 性能（包括灵敏度和选择性）的关键策略。
