School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Biosensors (Basel). 2023 Aug 26;13(9):850. doi: 10.3390/bios13090850.
The abuse of antibiotics has caused a serious threat to human life and health. It is urgent to develop sensors that can detect multiple antibiotics quickly and efficiently. Biosensors are widely used in the field of antibiotic detection because of their high specificity. Advanced artificial intelligence/machine learning algorithms have allowed for remarkable achievements in image analysis and face recognition, but have not yet been widely used in the field of biosensors. Herein, this paper reviews the biosensors that have been widely used in the simultaneous detection of multiple antibiotics based on different detection mechanisms and biorecognition elements in recent years, and compares and analyzes their characteristics and specific applications. In particular, this review summarizes some AI/ML algorithms with excellent performance in the field of antibiotic detection, and which provide a platform for the intelligence of sensors and terminal apps portability. Furthermore, this review gives a short review of biosensors for the detection of multiple antibiotics.
抗生素的滥用对人类生命和健康造成了严重威胁。因此,开发能够快速高效地检测多种抗生素的传感器迫在眉睫。由于具有高特异性,生物传感器在抗生素检测领域得到了广泛应用。先进的人工智能/机器学习算法在图像分析和人脸识别方面取得了显著成就,但尚未广泛应用于生物传感器领域。本文综述了近年来基于不同检测机制和生物识别元件的用于同时检测多种抗生素的生物传感器,并对其特点和具体应用进行了比较和分析。特别地,本文总结了一些在抗生素检测领域表现出色的 AI/ML 算法,为传感器的智能化和终端应用的便携性提供了平台。此外,本文还对用于检测多种抗生素的生物传感器进行了简要综述。