4.7 Article

What can AI-TENG do for Low Abundance Biosensing?

Journal

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fbioe.2022.899858

Keywords

artificial intelligence; triboelectric nanogenerators; biomolecules sensing; organic compounds; complex mixture cells

Funding

  1. Fundamental Research Funds for the Central Universities [SWU019040, 2020jd001]
  2. National Natural Science Foundation of China [62074132]

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This article discusses the application of artificial intelligence and triboelectric nanogenerators in the development of biosensors. It focuses on the working principle of triboelectric nanogenerators and their combination with artificial intelligence. The article highlights the research work of AI-TENG in sensing biomolecules, organic compounds, and complex mixtures of cells. It concludes with a summary of the challenges and possible solutions in the application of AI-TENG to biosensors, as well as prospects for future development.
Biosensing technology helps prevent, diagnose, and treat diseases and has attracted more and more researchers in recent years. Artificial intelligence-based triboelectric nanogenerators (AI-TENG) are promising for applications in biosensors due to their myriad of merits, including high efficiency and precision, low cost, light weight, and self-powered. This article aims to show how artificial intelligence and triboelectric nanogenerators have been combined to develop biosensors. We first focus on the working principle of triboelectric nanogenerators and the method of combining them with artificial intelligence. Secondly, we highlight the representative research work of AI-TENG in biomolecules sensing, organic compounds, and complex mixture of cells. Finally, this paper concludes with a summary and prospect on the existing challenges and possible solutions in the application of AI-TENG to the field of biosensors.

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