Kaushik Aniruddha M, Hsieh Kuangwen, Chen Liben, Shin Dong Jin, Liao Joseph C, Wang Tza-Huei
Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA.
Department of Urology, Stanford University School of Medicine, 300 Pasteur Dr. S-287, Stanford, CA, USA.
Biosens Bioelectron. 2017 Nov 15;97:260-266. doi: 10.1016/j.bios.2017.06.006.
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.
仍然迫切需要能够评估病原菌抗生素耐药性的快速诊断方法，以便提供有针对性的抗生素治疗。为此，我们提出了一种快速集成的单细胞生物传感平台，称为dropFAST，用于细菌生长检测和抗菌药敏评估。DropFAST利用基于刃天青的快速荧光生长测定法，结合将细菌随机限制在20 pL液滴中，在孵育1小时后检测生长细菌的信号，这相当于2-3次细菌复制。将液滴生成、孵育和检测完全集成到一个单一的、不间断的流程中，也使该平台特别适合在线细菌表型生长评估。为了说明快速数字抗菌药敏评估的概念，我们使用dropFAST平台评估庆大霉素对大肠杆菌生长的抗菌效果。
