Literature DB >> 33788554

Diffusion-Convection Hybrid Microfluidic Platform for Rapid Antibiotic Susceptibility Testing.

Ann V Nguyen1, Morteza Azizi1, Mohammad Yaghoobi1, Belgin Dogan2, Shiying Zhang2, Kenneth W Simpson2, Alireza Abbaspourrad1.   

Abstract

Conventional antibiotic susceptibility testing (AST) assays such as broth microdilution and Kirby-Bauer disk diffusion are time-consuming (e.g., 24-72 h) and labor-intensive. Here, we present a microfluidic platform to perform AST assays with a broad range of antibiotic concentrations and controls. A culture medium stream was serially enriched with antibiotics along the length of the platform via diffusion and flow-directing mass convection mechanisms, generating a concentration gradient captured in a series of microchamber duplicates. We observed an agreement between the simulated and experimental concentration gradients and applicability to a variety of different molecules by changing the loading time according to a simple linear equation. The AST assay in our platform is based on bacterial metabolism, indicated by resazurin fluorescence. The small reaction volume enabled a minimum inhibitory concentration (MIC) to be determined in 4-5 h. Proof-of-concept functionality testing, using human isolates and clinically important antibiotics from different classes, indicated a high rate of agreement (94%: MIC within ±1 two-fold dilution of the reference method) of on-chip MICs and conventional broth microdilution. Overall, our results showed that this microfluidic platform is capable of determining antibiotic susceptibility in a rapid and reliable manner.

Entities:  

Year:  2021        PMID: 33788554     DOI: 10.1021/acs.analchem.0c05248

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  1 in total

1.  A high-throughput integrated biofilm-on-a-chip platform for the investigation of combinatory physicochemical responses to chemical and fluid shear stress.

Authors:  Ann V Nguyen; Arash Yahyazadeh Shourabi; Mohammad Yaghoobi; Shiying Zhang; Kenneth W Simpson; Alireza Abbaspourrad
Journal:  PLoS One       Date:  2022-08-12       Impact factor: 3.752

  1 in total

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