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Antimicrobial Susceptibility Testing in a Rapid Single Test via an Egg-like Multivolume Microchamber-Based Microfluidic Platform.

Authors :
Azizi M
Nguyen AV
Dogan B
Zhang S
Simpson KW
Abbaspourrad A
Source :
ACS applied materials & interfaces [ACS Appl Mater Interfaces] 2021 May 05; Vol. 13 (17), pp. 19581-19592. Date of Electronic Publication: 2021 Apr 22.
Publication Year :
2021

Abstract

Fast determination of antimicrobial agents' effectiveness (susceptibility/resistance pattern) is an essential diagnostic step for treating bacterial infections and stopping world-wide outbreaks. Here, we report an egg-like multivolume microchamber-based microfluidic (EL-MVM <superscript>2</superscript> ) platform, which is used to produce a wide range of gradient-based antibiotic concentrations quickly (∼10 min). The EL-MVM <superscript>2</superscript> platform works based upon testing a bacterial suspension in multivolume microchambers (microchamber sizes that range from a volume of 12.56 to 153.86 nL). Antibiotic molecules from a stock solution diffuse into the microchambers of various volumes at the same loading rate, leading to different concentrations among the microchambers. Therefore, we can quickly and easily produce a robust antibiotic gradient-based concentration profile. The EL-MVM <superscript>2</superscript> platform's diffusion (loading) pattern was investigated for different antibiotic drugs using both computational fluid dynamics simulations and experimental approaches. With an easy-to-follow protocol for sample loading and operation, the EL-MVM <superscript>2</superscript> platform was also found to be of high precision with respect to predicting the susceptibility/resistance outcome (>97%; surpassing the FDA-approval criterion for technology-based antimicrobial susceptibility testing instruments). These features indicate that the EL-MVM <superscript>2</superscript> is an effective, time-saving, and precise alternative to conventional antibiotic susceptibility testing platforms currently being used in clinical diagnostics and point-of-care settings.

Details

Language :
English
ISSN :
1944-8252
Volume :
13
Issue :
17
Database :
MEDLINE
Journal :
ACS applied materials & interfaces
Publication Type :
Academic Journal
Accession number :
33884865
Full Text :
https://doi.org/10.1021/acsami.0c23096