4.8 Review

Triboelectric Nanogenerator-Based Sensor Systems for Chemical or Biological Detection

Journal

ADVANCED MATERIALS
Volume 33, Issue 35, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202008276

Keywords

chemical or biological detection; self-powered sensors; triboelectric nanogenerators

Funding

  1. National Natural Science Foundation of China [22004112, 21525523, 21874121]
  2. National Key Research and Development Program of China [2018YFE0206900]
  3. National Research Foundation of Korea (NRF) - Korean government (MSIT) [NRF-2020R1A2C3003344, NRF-2020R1A4A2002728]

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The rapid advances in the Internet of things and wearable devices have created a massive platform for sensor systems that detect chemical or biological agents. Triboelectric nanogenerators (TENGs) represent a thriving renewable energy technology with the potential to revolutionize this field. This review discusses the significance of TENG-based sensor systems in chemical or biological detection, and categorizes a range of TENGs based on their roles as power supplies and/or self-powered active sensors.
The rapid advances in the Internet of things and wearable devices have created a massive platform for sensor systems that detect chemical or biological agents. The accelerated development of these devices in recent years has simultaneously aggravated the power supply problems. Triboelectric nanogenerators (TENGs) represent a thriving renewable energy technology with the potential to revolutionize this field. In this review, the significance of TENG-based sensor systems in chemical or biological detection from the perspective of the development of power supply for biochemical sensors is discussed. Further, a range of TENGs are classified according to their roles as power supplies and/or self-powered active sensors. The TENG powered sensor systems are further discussed on the basis of their framework and applications. The working principles and structures of different TENG-based self-powered active sensors are presented, along with the classification of the sensors based on these factors. In addition, some representative applications are introduced, and the corresponding challenges are discussed. Finally, some perspectives for the future innovations of TENG-based sensor systems for chemical/biological detection are discussed.

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