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Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections
INTRODUCTION: Urinary tract infections (UTI) are one of the most serious human bacterial infections affecting millions of people every year. Therefore, simple and reliable identification of the urinary tract pathogenic bacteria within a few minutes would be of great significance for diagnosis and tr...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428933/ https://www.ncbi.nlm.nih.gov/pubmed/36061124 http://dx.doi.org/10.2147/IJN.S377575 |
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author | Zhang, Lei Wang, Bing Yin, Guo Wang, Jue He, Ming Yang, Yuqi Wang, Tiejie Tang, Ting Yu, Xie-An Tian, Jiangwei |
author_facet | Zhang, Lei Wang, Bing Yin, Guo Wang, Jue He, Ming Yang, Yuqi Wang, Tiejie Tang, Ting Yu, Xie-An Tian, Jiangwei |
author_sort | Zhang, Lei |
collection | PubMed |
description | INTRODUCTION: Urinary tract infections (UTI) are one of the most serious human bacterial infections affecting millions of people every year. Therefore, simple and reliable identification of the urinary tract pathogenic bacteria within a few minutes would be of great significance for diagnosis and treatment of clinical patients with UTIs. In this study, the fluorescence sensor was reported to guide the detection of urinary tract bacterial infections rapidly. METHODS: The Ami-AuNPs-DNAs sensor was fabricated by the amino-modified Au nanoparticles (Ami-AuNPs) and six DNAs signal molecules, which bound to the urinary tract pathogenic bacteria and generated corresponding response signals. Further, based on the collected response signals, identification was performed by principal component analysis (PCA) and linear discriminant analysis (LDA). The Ami-AuNPs and Ami-AuNPs-DNAs were characterized by transmission electron microscopy, UV−vis absorption spectrum, Fourier transform infrared spectrum, dynamic light scattering and zeta potentials. Thereafter, the Ami-AuNPs-DNAs sensor was used to discriminate and identify five kinds of urinary tract pathogenic bacteria. Moreover, the quantitative analysis performance towards individual bacteria at different concentrations were also evaluated. RESULTS: The Ami-AuNPs-DNAs sensor were synthesized successfully in terms of spherical, well-dispersed and uniform in size, which could well discriminate five main urinary tract pathogenic bacteria with unique fingerprint-like patterns and was sufficiently sensitive to determine individual bacteria with a detection limit to 1×10(7) cfu/mL. Furthermore, the sensor had also been successfully applied to identify bacteria in urine samples collected from clinical UTIs. CONCLUSION: The developed fluorescence sensor could be applied to rapid and accurate discrimination of urinary tract pathogenic bacteria and holds great promise for the diagnosis of the disease caused by bacterial infection. |
format | Online Article Text |
id | pubmed-9428933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-94289332022-09-01 Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections Zhang, Lei Wang, Bing Yin, Guo Wang, Jue He, Ming Yang, Yuqi Wang, Tiejie Tang, Ting Yu, Xie-An Tian, Jiangwei Int J Nanomedicine Original Research INTRODUCTION: Urinary tract infections (UTI) are one of the most serious human bacterial infections affecting millions of people every year. Therefore, simple and reliable identification of the urinary tract pathogenic bacteria within a few minutes would be of great significance for diagnosis and treatment of clinical patients with UTIs. In this study, the fluorescence sensor was reported to guide the detection of urinary tract bacterial infections rapidly. METHODS: The Ami-AuNPs-DNAs sensor was fabricated by the amino-modified Au nanoparticles (Ami-AuNPs) and six DNAs signal molecules, which bound to the urinary tract pathogenic bacteria and generated corresponding response signals. Further, based on the collected response signals, identification was performed by principal component analysis (PCA) and linear discriminant analysis (LDA). The Ami-AuNPs and Ami-AuNPs-DNAs were characterized by transmission electron microscopy, UV−vis absorption spectrum, Fourier transform infrared spectrum, dynamic light scattering and zeta potentials. Thereafter, the Ami-AuNPs-DNAs sensor was used to discriminate and identify five kinds of urinary tract pathogenic bacteria. Moreover, the quantitative analysis performance towards individual bacteria at different concentrations were also evaluated. RESULTS: The Ami-AuNPs-DNAs sensor were synthesized successfully in terms of spherical, well-dispersed and uniform in size, which could well discriminate five main urinary tract pathogenic bacteria with unique fingerprint-like patterns and was sufficiently sensitive to determine individual bacteria with a detection limit to 1×10(7) cfu/mL. Furthermore, the sensor had also been successfully applied to identify bacteria in urine samples collected from clinical UTIs. CONCLUSION: The developed fluorescence sensor could be applied to rapid and accurate discrimination of urinary tract pathogenic bacteria and holds great promise for the diagnosis of the disease caused by bacterial infection. Dove 2022-08-26 /pmc/articles/PMC9428933/ /pubmed/36061124 http://dx.doi.org/10.2147/IJN.S377575 Text en © 2022 Zhang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Zhang, Lei Wang, Bing Yin, Guo Wang, Jue He, Ming Yang, Yuqi Wang, Tiejie Tang, Ting Yu, Xie-An Tian, Jiangwei Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections |
title | Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections |
title_full | Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections |
title_fullStr | Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections |
title_full_unstemmed | Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections |
title_short | Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections |
title_sort | rapid fluorescence sensor guided detection of urinary tract bacterial infections |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428933/ https://www.ncbi.nlm.nih.gov/pubmed/36061124 http://dx.doi.org/10.2147/IJN.S377575 |
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