Nanogenerator-based self-powered sensors for data collection

Yicheng Shao; Maoliang Shen; Yuankai Zhou; Xin Cui; Lijie Li; Yan Zhang

doi:10.3762/bjnano.12.54

Nanogenerator-based self-powered sensors for data collection

Beilstein J Nanotechnol. 2021 Jul 8:12:680-693. doi: 10.3762/bjnano.12.54. eCollection 2021.

Authors

Yicheng Shao¹, Maoliang Shen¹, Yuankai Zhou¹, Xin Cui^{2

3

4}, Lijie Li⁵, Yan Zhang^{1

2

3

4}

Affiliations

¹ School of Physics, University of Electronic Science and Technology of China, Chengdu 610054, China.
² College of Chemistry and Chemical Engineering, Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning 530004, China.
³ Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China.
⁴ College of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China.
⁵ Multidisciplinary Nanotechnology Centre, College of Engineering, Swansea University, Swansea, SA1 8EN, UK.

Abstract

Self-powered sensors can provide energy and environmental data for applications regarding the Internet of Things, big data, and artificial intelligence. Nanogenerators provide excellent material compatibility, which also leads to a rich variety of nanogenerator-based self-powered sensors. This article reviews the development of nanogenerator-based self-powered sensors for the collection of human physiological data and external environmental data. Nanogenerator-based self-powered sensors can be designed to detect physiological data as wearable and implantable devices. Nanogenerator-based self-powered sensors are a solution for collecting data and expanding data dimensions in a future intelligent society. The future key challenges and potential solutions regarding nanogenerator-based self-powered sensors are discussed.

Keywords: Internet of Things; data collection; nanogenerator; self-powered sensor; wearable device.

Publication types

Review