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Gradient Microfluidics Enables Rapid Bacterial Growth Inhibition Testing

机译:梯度微流控技术可实现快速细菌生长抑制测试

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Bacterial growth inhibition tests have become a standard measure of the adverse effects of inhibitors for a wide range of applications, such as toxicity testing in the medical and environmental sciences. However, conventional well-plate formats for these tests are laborious and provide limited information (often being restricted to an end-point assay). In this study, we have developed a microfluidic system that enables fast quantification of the effect of an inhibitor on bacteria growth and survival, within a single experiment. This format offers a unique combination of advantages, including long-term continuous flow culture, generation of concentration gradients, and single cell morphology tracking. Using Escherichia coli and the inhibitor amoxicillin as one model system, we show excellent agreement between an on-chip single cell-based assay and conventional methods to obtain quantitative measures of antibiotic inhibition (for example, minimum inhibition concentration). Furthermore, we show that our methods can provide additional information, over and above that of the standard well-plate assay, including kinetic information on growth inhibition and measurements of bacterial morphological dynamics over a wide range of inhibitor concentrations. Finally, using a second model system, we show that this chip-based systems does not require the bacteria to be labeled and is well suited for the study of naturally occurring species. We illustrate this using Nitrosomonas europaea, an environmentally important bacteria, and show that the chip system can lead to a significant reduction in the period required for growth and inhibition measurements (<4 days, compared to weeks in a culture flask).
机译:细菌生长抑制测试已成为抑制剂在许多应用中的不良反应的标准量度,例如医学和环境科学中的毒性测试。然而,用于这些测试的常规孔板格式费力且提供的信息有限(通常仅限于终点分析)。在这项研究中,我们开发了一种微流控系统,可以在单个实验中快速量化抑制剂对细菌生长和存活的影响。这种格式具有独特的优势组合,包括长期连续流培养,浓度梯度的生成和单细胞形态跟踪。使用大肠埃希氏菌和抑制剂阿莫西林作为一个模型系统,我们显示了基于芯片单细胞的测定与常规方法之间的极佳一致性,从而获得了定量的抗生素抑制作用(例如最小抑制浓度)。此外,我们表明,我们的方法可以提供除标准孔板测定法以外的其他信息,包括有关生长抑制的动力学信息以及在多种抑制剂浓度下测量细菌形态动力学的信息。最后,使用第二个模型系统,我们证明了这种基于芯片的系统不需要对细菌进行标记,非常适合研究天然物种。我们使用对环境具有重要意义的细菌亚硝化单胞菌(Nitrosomonas europaea)对此进行了说明,并表明该芯片系统可以显着减少生长和抑制测量所需的时间(<4天,相比于培养瓶中的数周)。

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