Nerger Tino, Neumann Patrick P, Weller Michael G
Federal Institute for Materials Research and Testing (BAM), Richard-Willstätter-Straße 11, 12489 Berlin, Germany.
Department of Chemistry, Humboldt Universität zu Berlin, Brook-Taylor-Strasse 2, 12489 Berlin, Germany.
Sensors (Basel). 2024 Sep 25;24(19):6195. doi: 10.3390/s24196195.
The distribution of tiny sensors over a specific area was first proposed in the late 1990s as a concept known as smart dust. Several efforts focused primarily on computing and networking capabilities, but quickly ran into problems related to power supply, cost, data transmission, and environmental pollution. To overcome these limitations, we propose using paper-based (confetti-like) chemosensors that exploit the inherent selectivity of chemical reagents, such as colorimetric indicators. In this work, cheap and biodegradable passive sensors made from cellulose could successfully indicate the presence of hazardous chemicals, e.g., strong acids, by a significant color change. A conventional color digital camera attached to a drone could easily detect this from a safe distance. The collected data were processed to define the hazardous area. Our work presents a combination of the smart dust concept, chemosensing, paper-based sensor technology, and low-cost drones for flexible, sensitive, economical, and rapid detection of hazardous chemicals in high-risk scenarios.
在特定区域分布微小传感器的想法最早于20世纪90年代末被提出，这一概念被称为智能尘埃。最初的一些努力主要集中在计算和网络能力方面，但很快就遇到了与电源、成本、数据传输和环境污染相关的问题。为了克服这些限制，我们提议使用基于纸张的（类似五彩纸屑的）化学传感器，这类传感器利用化学试剂（如比色指示剂）固有的选择性。在这项工作中，由纤维素制成的廉价且可生物降解的无源传感器能够通过显著的颜色变化成功指示危险化学品（如强酸）的存在。连接到无人机上的传统彩色数码相机能够在安全距离外轻松检测到这种颜色变化。对收集到的数据进行处理以确定危险区域。我们的工作展示了智能尘埃概念、化学传感、基于纸张的传感器技术以及低成本无人机的结合，可用于在高风险场景中灵活、灵敏、经济且快速地检测危险化学品。
