Accelerating bacterial growth detection and antimicrobial susceptibility assessment in integrated picoliter droplet platform

Content Provider	Scilit
Author	Kaushik, Aniruddha M. Hsieh, Kuangwen Chen, Liben Shin, Dong Jin Liao, Joseph C. Wang, Tza-Huei
Copyright Year	2017
Description	Journal: Biosensors and Bioelectronics There remains an urgent need for rapid diagnostic methods that can evaluate antibiotic resistance for pathogenic bacteria in order to deliver targeted antibiotic treatments. Toward this end, we present a rapid and integrated single-cell biosensing platform, termed dropFAST, for bacterial growth detection and antimicrobial susceptibility assessment. DropFAST utilizes a rapid resazurin-based fluorescent growth assay coupled with stochastic confinement of bacteria in 20 pL droplets to detect signal from growing bacteria after 1h incubation, equivalent to 2-3 bacterial replications. Full integration of droplet generation, incubation, and detection into a single, uninterrupted stream also renders this platform uniquely suitable for in-line bacterial phenotypic growth assessment. To illustrate the concept of rapid digital antimicrobial susceptibility assessment, we employ the dropFAST platform to evaluate the antibacterial effect of gentamicin on E. coli growth.
Related Links	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615843/pdf
Ending Page	266
Page Count	7
Starting Page	260
ISSN	09565663
e-ISSN	18734235
DOI	10.1016/j.bios.2017.06.006
Journal	Biosensors and Bioelectronics
Volume Number	97
Language	English
Publisher	Elsevier BV
Publisher Date	2017-11-01
Access Restriction	Open
Subject Keyword	Journal: Biosensors and Bioelectronics Analytical Chemistry Antimicrobial Susceptibility Test (ast)
Content Type	Text
Resource Type	Article
Subject	Nanoscience and Nanotechnology Medicine Biophysics Biomedical Engineering Biotechnology Electrochemistry