Recent Advances of Biosensors for Detection of Multiple Antibiotics

Abstract

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.

Emerging Contaminants: An Emerging Risk Factor for Diabetes Mellitus

“…Current methods for detecting antibiotic residues include the microbial method, electrochemical method, high-performance liquid chromatography, liquid mass spectrometry, fluorescence method, Raman spectroscopy, etc. [ 103 ]. Scientists have detected various antibiotics, such as amoxicillin, clindamycin, and ciprofloxacin, in the inlet and outlet water of wastewater treatment plants.…”

Sensing Levofloxacin with an RNA Aptamer as a Bioreceptor

“…The main methods for detecting antibiotics and their metabolites in the environment have been cumbersome and expensive laboratory analyses using MS and LC-MS [5]. While recent advances in biosensing have led to numerous excellent antibiotic sensors, many of them lack the modularity to detect the diversity of compounds and the ease of use needed for their use by minimally trained personnel in the field [6]. This study aims to provide a protocol for the straightforward development of RNA aptamer-based lateral flow assays (LFAs) for the detection of antibiotics.…”

A fluorescence aptamer sensor utilizing WS2 nanosheets for sensitive detection of patulin: enhanced specificity and wide applicability

“…Optical sensor technology, in particular, is highly valued in clinical diagnostics, food analysis, pharmaceutical testing, and environmental monitoring because of its low cost, rapid analysis capabilities, and ease of use. 18–20…”