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

Grants and funding

The authors are thankful for the support from University of Electronic Science and Technology of China (ZYGX2015KYQD063), Swansea University, SPARC II project, and Thousand Talents program for a pioneer researcher and his innovation team, China.