title: Gradient microfluidics enables rapid bacterial growth inhibition testing.
abstract: 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).
authors.affiliation: Environmental Simulation and Pollution Control State-Key Joint Laboratory, School of Environment, Tsinghua University , Beijing 100084, China.
authors.forename: Bing
authors.initials: B
authors.lastname: Li
authors.forename: Yong
authors.initials: Y
authors.lastname: Qiu
authors.forename: Andrew
authors.initials: A
authors.lastname: Glidle
authors.forename: David
authors.initials: D
authors.lastname: McIlvenna
authors.forename: Qian
authors.initials: Q
authors.lastname: Luo
authors.forename: Jon
authors.initials: J
authors.lastname: Cooper
authors.forename: Han-Chang
authors.initials: HC
authors.lastname: Shi
authors.forename: Huabing
authors.initials: H
authors.lastname: Yin
mesh_terms: D004926:Escherichia coli / Q000254:growth & development*; D044085:Microfluidics; D008954:Models, Biological