Jiang Min, Zheng Shaoqiu, Zhu Zhiyuan
Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China.
The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing, China.
Front Bioeng Biotechnol. 2022 May 5;10:899858. doi: 10.3389/fbioe.2022.899858. eCollection 2022.
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.
生物传感技术有助于疾病的预防、诊断和治疗，近年来吸引了越来越多的研究人员。基于人工智能的摩擦纳米发电机（AI-TENG）因其诸多优点，包括高效率和高精度、低成本、重量轻以及自供电等，在生物传感器应用方面具有广阔前景。本文旨在展示人工智能与摩擦纳米发电机是如何结合以开发生物传感器的。我们首先关注摩擦纳米发电机的工作原理以及将其与人工智能相结合的方法。其次，我们重点介绍AI-TENG在生物分子传感、有机化合物以及细胞复杂混合物检测方面的代表性研究工作。最后，本文对AI-TENG在生物传感器领域应用中存在的挑战及可能的解决方案进行了总结与展望。
