Recent advances in the metallic and metal oxide nanoparticle-assisted molecular methods for the detection of Escherichia coli

Abstract

The detection of E. coli is of irreplaceable importance for the maintenance of public health and food safety. In the field of molecular detection, metal and metal oxide nanoparticles have demonstrated significant advantages due to their unique physicochemical properties, and their application in E. coli detection has become a cutting-edge focus of scientific research. This review systematically introduces the innovative applications of these nanoparticles in E. coli detection, including the use of magnetic nanoparticles for efficient enrichment of bacteria and precise purification of nucleic acids, as well as a variety of nanoparticle-assisted immunoassays such as enzyme-linked immunosorbent assays, lateral flow immunoassays, colorimetric methods, and fluorescence strategies. In addition, this paper addresses the application of nanoparticles used in nucleic acid tests, including amplification-free and amplification-based assays. Further, the application of nanoparticles used in electrochemical and optical biosensors in E. coli detection is described, as well as other innovative assays. The advantages and challenges of aforementioned technologies are subjected to rigorous analysis, and a prospective outlook on the future direction of development is presented. In conclusion, this review not only illustrates the practical utility and extensive potential of metal and metal oxide nanoparticles in E. coli detection, but also serves as a scientific and comprehensive reference for molecular diagnostics in food safety and public health.

Article information

Article type
Tutorial Review
Submitted
01 Dec 2024
Accepted
19 Feb 2025
First published
19 Feb 2025

Analyst, 2025, Accepted Manuscript

Recent advances in the metallic and metal oxide nanoparticle-assisted molecular methods for the detection of Escherichia coli

L. Zhuang, J. Gong, D. Zhang, P. Zhang, Y. Zhao, L. Sun, J. Yang, Y. Zhang and Q. Shen, Analyst, 2025, Accepted Manuscript , DOI: 10.1039/D4AN01495B

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