Rapid antibiotic biosensors based on multiple molecular recognition elements.

Keren Chen, Longjiao Zhu, Wentao Xu, Feng Guo, Qian Yang, Yifan Wu, Jun Li, Jiaru Yang, Jiageng Cheng

Journal: Analytical methods : advancing methods and applications 2025;17(12):2496-2514

PMID: 40047053

Abstract

The extensive use of antibiotics poses significant public health concerns, including the increase in drug-resistant bacteria and environmental pollution, underscoring the urgent need for rapid, sensitive, and specific antibiotic detection methods. Most current reviews on antibiotic detection primarily focus on categorizing antibiotics based on their types or the classification of sensors used, such as electrochemical, optical, or colorimetric sensors. In contrast, this review proposes a novel and systematic theoretical framework for the detection of antibiotics using sensors using seven popular molecular recognition elements-antibodies, aptamers, microorganisms, cells, peptides, molecularly imprinted polymers (MIPs), metal-organic frameworks (MOFs) and direct recognition modalities and briefly discusses the mechanism of molecular recognition elements and antibiotic recognition. Additionally, it explores biosensors developed using these elements, offering a detailed analysis of their strengths and limitations in terms of sensitivity, specificity, and practicality. The review concludes by addressing current challenges and future directions, providing a comprehensive perspective essential for enhancing food safety and protecting public health.

Address: College of Food Science and Technology, Hebei Normal University of Science and Technology, 066004, China. [email protected].; Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100193, China. [email protected].; School of Public Health, Hebei Key Laboratory of Public Health Safety, Hebei University, Baoding 071002, China.; Key Laboratory of Geriatrics (Hepatobiliary Diseases), China General Technology Group, Beijing 100073, China.

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