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Microfluidic Chip for Detection of Drug Resistance at the Single-cell Level
Drug-resistant bacterial strains seriously threaten human health. Rapid screening of antibiotics is urgently required to improve clinical treatment. Conventional methods of antimicrobial susceptibility testing rely on turbidimetry that is evident only after several days of incubation. The lengthy ti...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861505/ https://www.ncbi.nlm.nih.gov/pubmed/36677107 http://dx.doi.org/10.3390/mi14010046 |
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author | Song, Kena Yu, Zhangqing Zu, Xiangyang Huang, Lei Fu, Dongliao Yao, Jingru Hu, Zhigang Xue, Yun |
author_facet | Song, Kena Yu, Zhangqing Zu, Xiangyang Huang, Lei Fu, Dongliao Yao, Jingru Hu, Zhigang Xue, Yun |
author_sort | Song, Kena |
collection | PubMed |
description | Drug-resistant bacterial strains seriously threaten human health. Rapid screening of antibiotics is urgently required to improve clinical treatment. Conventional methods of antimicrobial susceptibility testing rely on turbidimetry that is evident only after several days of incubation. The lengthy time of the assay can delay clinical treatment. Here, we proposed a single-cell level rapid system based on a microfluidic chip. The detection period of 30 min to 2 h was significantly shorter than the conventional turbidity-based method. To promote detection efficiency, 16 independent channels were designed, permitting the simultaneous screening of 16 drugs in the microfluidic chip. Prepositioning of drugs in the chip permitted prolonged transportation and storage. This may allow for the widespread use of the novel system, particularly in the regions where medical facilities are scarce. The growth curves were reported rapidly through a custom code in Matlab after tracking and photographing the bacteria during microscopy examination. The capability of the proposed system was validated by antimicrobial susceptibility testing trials with standard strains. The system provides a potentially useful detection tool for drug-resistant bacteria. |
format | Online Article Text |
id | pubmed-9861505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98615052023-01-22 Microfluidic Chip for Detection of Drug Resistance at the Single-cell Level Song, Kena Yu, Zhangqing Zu, Xiangyang Huang, Lei Fu, Dongliao Yao, Jingru Hu, Zhigang Xue, Yun Micromachines (Basel) Article Drug-resistant bacterial strains seriously threaten human health. Rapid screening of antibiotics is urgently required to improve clinical treatment. Conventional methods of antimicrobial susceptibility testing rely on turbidimetry that is evident only after several days of incubation. The lengthy time of the assay can delay clinical treatment. Here, we proposed a single-cell level rapid system based on a microfluidic chip. The detection period of 30 min to 2 h was significantly shorter than the conventional turbidity-based method. To promote detection efficiency, 16 independent channels were designed, permitting the simultaneous screening of 16 drugs in the microfluidic chip. Prepositioning of drugs in the chip permitted prolonged transportation and storage. This may allow for the widespread use of the novel system, particularly in the regions where medical facilities are scarce. The growth curves were reported rapidly through a custom code in Matlab after tracking and photographing the bacteria during microscopy examination. The capability of the proposed system was validated by antimicrobial susceptibility testing trials with standard strains. The system provides a potentially useful detection tool for drug-resistant bacteria. MDPI 2022-12-25 /pmc/articles/PMC9861505/ /pubmed/36677107 http://dx.doi.org/10.3390/mi14010046 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Song, Kena Yu, Zhangqing Zu, Xiangyang Huang, Lei Fu, Dongliao Yao, Jingru Hu, Zhigang Xue, Yun Microfluidic Chip for Detection of Drug Resistance at the Single-cell Level |
title | Microfluidic Chip for Detection of Drug Resistance at the Single-cell Level |
title_full | Microfluidic Chip for Detection of Drug Resistance at the Single-cell Level |
title_fullStr | Microfluidic Chip for Detection of Drug Resistance at the Single-cell Level |
title_full_unstemmed | Microfluidic Chip for Detection of Drug Resistance at the Single-cell Level |
title_short | Microfluidic Chip for Detection of Drug Resistance at the Single-cell Level |
title_sort | microfluidic chip for detection of drug resistance at the single-cell level |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861505/ https://www.ncbi.nlm.nih.gov/pubmed/36677107 http://dx.doi.org/10.3390/mi14010046 |
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