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Rapid and sensitive detection of Pseudomonas aeruginosa using multiple cross displacement amplification and gold nanoparticle-based lateral flow biosensor visualization

Authors: Fan, Zhao; Lina, Niu; Jinqing, Nong; Chunmei, Wang; Jing, Wang; Yan, Liu; Naishu, Gao; +3 Authors

Rapid and sensitive detection of Pseudomonas aeruginosa using multiple cross displacement amplification and gold nanoparticle-based lateral flow biosensor visualization

Abstract

Pseudomonas aeruginosa causes nosocomial infections of burn patients and other immunocompromised individuals, but the conventional diagnosis of P. aeruginosa infection depends on time-consuming culture-based methods. Hence, a simple, fast, sensitive technique for detection of P. aeruginosa using multiple cross displacement amplification (MCDA) and gold nanoparticle-based lateral flow biosensors (LFB) was developed. By using this technique, the reaction could be completed at an optimized constant temperature (67°C) within only 40 min. The reaction product could be detected visually using an LFB, eliminating the need for special equipment. The P. aeruginosa-MCDA-LFB method was highly specific, and accurately distinguished P. aeruginosa from other pathogens. Just 10 fg of genomic DNA template (from pure culture) could be detected. The assay could also detect P. aeruginosa in clinical sputum samples and showed the same sensitivity and specificity as the reference (culture-biochemical) method. In the future, this rapid, simple and accurate P. aeruginosa-MCDA-LFB technique might be applied in clinical practice.

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Keywords

DNA, Bacterial, Time Factors, Sputum, Temperature, Metal Nanoparticles, Biosensing Techniques, Sensitivity and Specificity, Bacterial Proteins, Pseudomonas aeruginosa, Humans, Pseudomonas Infections, Gold, Nucleic Acid Amplification Techniques

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
bronze