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What can AI-TENG do for Low Abundance Biosensing?

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 an...

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Detalles Bibliográficos
Autores principales: Jiang, Min, Zheng, Shaoqiu, Zhu, Zhiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117749/
https://www.ncbi.nlm.nih.gov/pubmed/35600897
http://dx.doi.org/10.3389/fbioe.2022.899858
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author Jiang, Min
Zheng, Shaoqiu
Zhu, Zhiyuan
author_facet Jiang, Min
Zheng, Shaoqiu
Zhu, Zhiyuan
author_sort Jiang, Min
collection PubMed
description 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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spelling pubmed-91177492022-05-20 What can AI-TENG do for Low Abundance Biosensing? Jiang, Min Zheng, Shaoqiu Zhu, Zhiyuan Front Bioeng Biotechnol Bioengineering and Biotechnology 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. Frontiers Media S.A. 2022-05-05 /pmc/articles/PMC9117749/ /pubmed/35600897 http://dx.doi.org/10.3389/fbioe.2022.899858 Text en Copyright © 2022 Jiang, Zheng and Zhu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Jiang, Min
Zheng, Shaoqiu
Zhu, Zhiyuan
What can AI-TENG do for Low Abundance Biosensing?
title What can AI-TENG do for Low Abundance Biosensing?
title_full What can AI-TENG do for Low Abundance Biosensing?
title_fullStr What can AI-TENG do for Low Abundance Biosensing?
title_full_unstemmed What can AI-TENG do for Low Abundance Biosensing?
title_short What can AI-TENG do for Low Abundance Biosensing?
title_sort what can ai-teng do for low abundance biosensing?
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117749/
https://www.ncbi.nlm.nih.gov/pubmed/35600897
http://dx.doi.org/10.3389/fbioe.2022.899858
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