Literature DB >> 32521679

Droplet-Based Screening for the Investigation of Microbial Nonlinear Dose-Response Characteristics System, Background and Examples.

Jialan Cao1, Felix Richter1, Michael Kastl2, Jonny Erdmann2, Christian Burgold2, David Dittrich2, Steffen Schneider1, J Michael Köhler1, G Alexander Groß1.   

Abstract

Droplet-based microfluidics is a versatile tool to reveal the dose-response relationship of different effectors on the microbial proliferation. Traditional readout parameter is the temporal development of the cell density for different effector concentrations. To determine nonlinear or unconventional dose-response relationships, data with high temporal resolution and dense concentration graduation are essential. If microorganisms with slow microbial growth kinetics are investigated, a sterile and evaporation-free long-term incubation technique is required. Here, we present a modular droplet-based screening system which was developed to solve these issues. Beside relevant technical aspects of the developed modules, the procedural workflow, and exemplary dose-response data for 1D and 2D dose-response screenings are presented.

Entities:  

Keywords:  bacterial; dose–response; droplet generator; droplet-based; dynamic cultivation; flow sensor; microbial; photo-fluorimetric; proliferation; screening; segmented-flow

Year:  2020        PMID: 32521679     DOI: 10.3390/mi11060577

Source DB:  PubMed          Journal:  Micromachines (Basel)        ISSN: 2072-666X            Impact factor:   2.891


  2 in total

1.  From Microtiter Plates to Droplets-There and Back Again.

Authors:  Thomas Henkel; Günter Mayer; Jörg Hampl; Jialan Cao; Linda Ehrhardt; Andreas Schober; Gregor Alexander Groß
Journal:  Micromachines (Basel)       Date:  2022-06-28       Impact factor: 3.523

2.  A droplet-based microfluidic platform enables high-throughput combinatorial optimization of cyanobacterial cultivation.

Authors:  Jialan Cao; David A Russo; Ting Xie; G Alexander Groß; Julie A Z Zedler
Journal:  Sci Rep       Date:  2022-09-15       Impact factor: 4.996

  2 in total

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