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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...

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Detalles Bibliográficos
Autores principales: Song, Kena, Yu, Zhangqing, Zu, Xiangyang, Huang, Lei, Fu, Dongliao, Yao, Jingru, Hu, Zhigang, Xue, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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