UPMC Université Paris 06, CNRS UMR 7195, ESPCI ParisTech, Paris, France.
Lab Chip. 2011 Dec 7;11(23):4057-62. doi: 10.1039/c1lc20545e. Epub 2011 Oct 20.
We present a novel millifluidic droplet analyser (MDA) for precisely monitoring the dynamics of microbial populations over multiple generations in numerous (≥10(3)) aqueous emulsion droplets (~100 nL). As a first application, we measure the growth rate of a bacterial strain and determine the minimal inhibitory concentration (MIC) for the antibiotic cefotaxime by incubating bacteria in a fine gradient of antibiotic concentrations. The detection of cell activity is based on the automated detection of an epifluorescent signal that allows the monitoring of microbial populations up to a size of ~10(6) cells. We believe that this device is helpful for the study of population dynamic consequences of microbe-environment interactions and of individual cell differences. Moreover, the fluidic machine may improve clinical tests, as it simplifies, automates and miniaturizes the screening of numerous microbial populations that grow and evolve in compartments with a finely tuned composition.
我们提出了一种新颖的毫升级液滴分析器（MDA），可精确监测多个世代中微生物群体的动态，其检测范围广泛（≥10(3)），涉及到无数个水包油乳液液滴（~100nL）。作为首次应用，我们通过在抗生素头孢噻肟的精细浓度梯度中孵育细菌，测量了细菌的生长速度，并确定了抗生素的最小抑菌浓度（MIC）。细胞活性的检测基于对明场荧光信号的自动检测，该检测方法允许监测达到约 10(6) 个细胞大小的微生物群体。我们相信，该设备有助于研究微生物-环境相互作用和个体细胞差异对种群动态的影响。此外，该流体机器可以改进临床测试，因为它简化、自动化并微型化了对在精细调节组成的隔室中生长和进化的众多微生物群体的筛选。
