Hou Zining, An Yu, Wu Zhigang
Department of Engineering Sciences, Microsystem Technology, Uppsala University, The Angstrom Laboratory, Box 534, 751 21, Uppsala, Sweden.
School of Life Science, Fudan University, 200433, Shanghai, China.
Methods Mol Biol. 2017;1572:365-377. doi: 10.1007/978-1-4939-6911-1_24.
This study presents a novel microfluidic approach to the investigation of bacterial susceptibility against antibiotics gradient concentration in a quantitative way. A linear concentration gradient of antibiotics in a microfluidic chamber is used with time-lapse photography. This approach provides high-resolution information in real time. Traditional tests for this type of study involve Clinical and Laboratory Standard Institute (CLSI) recommended test and Etest. All of these tests need different trials to present different concentrations. They can only provide either static data or few sampling points in a time-consuming way. Our approach employes a gradient generated structure to perform thousands of trials in parallel, showing the approach can give results in rapidly, efficiently and reveal the dynamics.
本研究提出了一种新颖的微流控方法,用于以定量方式研究细菌对抗生素梯度浓度的敏感性。在微流控腔室中利用抗生素的线性浓度梯度,并结合延时摄影。这种方法能够实时提供高分辨率信息。针对此类研究的传统测试包括临床和实验室标准协会(CLSI)推荐的测试以及Etest。所有这些测试都需要进行不同的试验来呈现不同的浓度。它们只能以耗时的方式提供静态数据或少量采样点。我们的方法采用一种产生梯度的结构来并行进行数千次试验,表明该方法能够快速、高效地给出结果并揭示动态变化。