BPN968: Metal-Organic Framework Based Triboelectric Nanogenerator for Self-Powered Gas Sensing

Abstract: 

With the rise of interest in the Internet of Things (IoT), the need for low-power sensors for monitoring the working environment has been in spotlight. Considering the number of sensors required to provide real time monitoring, creating sustainable and self-powered sensors is essential. Triboelectric nanogenerator (TENG), which converts mechanical motion to electrical energy, is one of the most promising candidates for realizing self-powered sensors due to its sensitivity to surface material properties and ability to generate consistent signals depending on mechanical input. Here, we aim to develop metal-organic framework (MOF)-based TENG to measure carbon dioxide (CO2) concentration in the atmosphere. By using CO2 sensitive MOF on the electrode surface, the device can produce distinguishable electrical signals following mechanical inputs. The proposed sensing method is based on thin MOF layer that can be installed on a mechanical actuator surface, extending the applications of TENGs.

Author: 
Publication date: 
August 24, 2021
Publication type: 
BSAC Project Materials (Current)
Citation: 
PREPUBLICATION DATA - ©University of California 2021

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