Real-Time Wireless Detection of Heavy Metal Ions Using a Self-Powered Triboelectric Nanosensor Integrated with an Autonomous Thermoelectric Generator-Powered Robotic System (Adv. Sci. 24/2025)
Yan-Tsz Huang, Arshad Khan, Anindita Ganguly, Kuldeep Kaswan, Sreerag Suresh, Yu-Ying Cheng, Kuan-Ming Lee, Jui-Han Yu, Zong-Hong Lin
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引用次数: 0
Abstract
Real-Time Detection of Heavy Metal Ions
This cover displays a self-powered environmental monitoring system featuring a triboelectric nanosensor (TENS) integrated with the finger of a robot hand for real-time detection of heavy metal ions. The robot hand is powered by a thermoelectric generator (TEG) and operates autonomously without using any external power, making it ideal for remote water quality monitoring in hazardous environments. More details can be found in article number 2410424 by Zong-Hong Lin and co-workers.
期刊介绍:
Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.