Research Progress on Detection Technologies for Pseudomonas aeruginosa
DOI:
https://doi.org/10.62177/apjcmr.v1i3.539Keywords:
Pseudomonas aeruginosa, Detection Technology, Molecular Biology, Immunology, Automated DetectionAbstract
Pseudomonas aeruginosa is an opportunistic pathogen widely distributed in the natural environment, which can cause a variety of infections, especially in people with low immunity and high pathogenicity. In recent years, significant progress has been made in the detection technology of Pseudomonas aeruginosa, covering traditional methods, molecular biology techniques, immunological methods and automated detection systems. Traditional methods such as the national standard method and the filter membrane method are easy to operate, but have the problems of long time consuming and limited sensitivity. Molecular biological techniques (such as PCR, gene cloning) and immunological methods (such as ELISA, colloidal gold immunochromatography) have significantly improved the sensitivity and specificity of detection, but they require high equipment and technology, and are expensive. Automated detection systems, such as VITEK 2 Compact and AutoMS 1000 mass spectrometry identification system, are excellent in improving detection efficiency and accuracy, but their high cost and complex operation process limit their wide application. In addition, the resistance of Pseudomonas aeruginosa to bacteriostatic agents further increases the difficulty of detection. In this paper, the development and application of immunological detection technology, molecular biological technology and immunological technology of Pseudomonas aeruginosa were reviewed, and the principles, advantages, disadvantages and research progress of various detection technologies of Pseudomonas aeruginosa were described, and the future development trend was prospected, in order to provide reference for the optimization and development of detection methods of Pseudomonas aeruginosa.
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Copyright (c) 2025 Yangke Wang, Dong Liu, Junjie Liu, Baojun Yu, Lingzi Yang

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
DATE
Accepted: 2025-08-13
Published: 2025-09-08