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Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples
Rapid detection of pathogenic bacteria within a few minutes is the key to control infectious disease. However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the low abundance of bacteria in real samples. Herein, we employ...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546574/ https://www.ncbi.nlm.nih.gov/pubmed/36161913 http://dx.doi.org/10.1073/pnas.2206990119 |
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author | Chen, Shan Su, Yu-Wen Sun, Junjie Chen, Tingting Zheng, Yuhao Sui, Lin-Jie Yang, Shuangli Liu, Chenbin Wang, Pengcheng Li, Tengfei Chi, Qinghua Sun, Hao Chen, Jinghu Xu, Bo-Qun Huang, Zongxiong Fang, Yimin |
author_facet | Chen, Shan Su, Yu-Wen Sun, Junjie Chen, Tingting Zheng, Yuhao Sui, Lin-Jie Yang, Shuangli Liu, Chenbin Wang, Pengcheng Li, Tengfei Chi, Qinghua Sun, Hao Chen, Jinghu Xu, Bo-Qun Huang, Zongxiong Fang, Yimin |
author_sort | Chen, Shan |
collection | PubMed |
description | Rapid detection of pathogenic bacteria within a few minutes is the key to control infectious disease. However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the low abundance of bacteria in real samples. Herein, we employ a label-free single-particle imaging approach to address this challenge. By tracking the scattering intensity variation of single particles in free solution, the morphological heterogeneity can be well identified with particle size smaller than the diffraction limit, facilitating the morphological identification of single bacteria from a complex matrix in a label-free manner. Furthermore, the manipulation of convection in free solution enables the rapid screening of low-abundance bacteria in a small field of view, which significantly improves the sensitivity of single-particle detection. As a proof of concept demonstration, we are able to differentiate the group B streptococci (GBS)–positive samples within 10 min from vaginal swabs without using any biological reagents. This is the most rapid and low-cost method to the best of our knowledge. We believe that such a single-particle imaging approach will find wider applications in clinical diagnosis and disease control due to its high sensitivity, rapidity, simplicity, and low cost. |
format | Online Article Text |
id | pubmed-9546574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-95465742023-03-26 Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples Chen, Shan Su, Yu-Wen Sun, Junjie Chen, Tingting Zheng, Yuhao Sui, Lin-Jie Yang, Shuangli Liu, Chenbin Wang, Pengcheng Li, Tengfei Chi, Qinghua Sun, Hao Chen, Jinghu Xu, Bo-Qun Huang, Zongxiong Fang, Yimin Proc Natl Acad Sci U S A Biological Sciences Rapid detection of pathogenic bacteria within a few minutes is the key to control infectious disease. However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the low abundance of bacteria in real samples. Herein, we employ a label-free single-particle imaging approach to address this challenge. By tracking the scattering intensity variation of single particles in free solution, the morphological heterogeneity can be well identified with particle size smaller than the diffraction limit, facilitating the morphological identification of single bacteria from a complex matrix in a label-free manner. Furthermore, the manipulation of convection in free solution enables the rapid screening of low-abundance bacteria in a small field of view, which significantly improves the sensitivity of single-particle detection. As a proof of concept demonstration, we are able to differentiate the group B streptococci (GBS)–positive samples within 10 min from vaginal swabs without using any biological reagents. This is the most rapid and low-cost method to the best of our knowledge. We believe that such a single-particle imaging approach will find wider applications in clinical diagnosis and disease control due to its high sensitivity, rapidity, simplicity, and low cost. National Academy of Sciences 2022-09-26 2022-10-04 /pmc/articles/PMC9546574/ /pubmed/36161913 http://dx.doi.org/10.1073/pnas.2206990119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Chen, Shan Su, Yu-Wen Sun, Junjie Chen, Tingting Zheng, Yuhao Sui, Lin-Jie Yang, Shuangli Liu, Chenbin Wang, Pengcheng Li, Tengfei Chi, Qinghua Sun, Hao Chen, Jinghu Xu, Bo-Qun Huang, Zongxiong Fang, Yimin Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples |
title | Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples |
title_full | Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples |
title_fullStr | Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples |
title_full_unstemmed | Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples |
title_short | Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples |
title_sort | label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546574/ https://www.ncbi.nlm.nih.gov/pubmed/36161913 http://dx.doi.org/10.1073/pnas.2206990119 |
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