Institute for Nanoelectronics , Technische Universität München , 80333 Munich , Germany.
Faculty of Science and Technology , Free University of Bozen-Bolzano , 39100 Bozen-Bolzano , Italy.
ACS Appl Mater Interfaces. 2018 Oct 10;10(40):34683-34689. doi: 10.1021/acsami.8b08050. Epub 2018 Oct 1.
In this study, we report on an automated method based on a handwritten technique for the fabrication of low-cost gas sensors based on carbon nanotube (CNT) networks. Taking advantage of the inherent low-cost, flexible, and uncomplicated characteristics of pen-based techniques and combining them with an automated robotic system allows for high-resolution patterns, high reproducibility, and relatively high throughput considering the limitations of parallel processing. To showcase this, gas sensors capable of sensing NH, CO, CO, and ethanol, as well as temperature and relative humidity, are fabricated and characterized displaying competitive performance in relation to previously reported devices. The presented process is compatible with a variety of solutions and inks and, as such, allows for an easy integration into existing printing and coating frameworks with the greatest advantage being the ease of creating prototypes because of the nonstringent material requirements.
在这项研究中，我们报告了一种基于手写技术的自动化方法，用于制造基于碳纳米管 (CNT) 网络的低成本气体传感器。利用笔式技术固有的低成本、灵活性和简单性特点，并将其与自动化机器人系统相结合，可以实现高分辨率图案、高重复性，并且考虑到并行处理的局限性，具有相对较高的吞吐量。为了展示这一点，制造了能够感应 NH₃、CO、CO₂ 和乙醇以及温度和相对湿度的气体传感器，并对其进行了表征，与之前报道的器件相比，其性能具有竞争力。所提出的工艺与各种溶液和墨水兼容，因此可以轻松集成到现有的印刷和涂层框架中，最大的优势是由于材料要求不严格，易于创建原型。
