Evidence map›Paper›PMID 32521679›Full record

ArticleMicromachines2020

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

Jialan Cao, Felix Richter, Michael Kastl, Jonny Erdmann, Christian Burgold, David Dittrich, Steffen Schneider, J Michael Köhler, G Alexander Groß

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jialan CaoDepartment of Physical Chemistry and Microreaction Technologies, Institute for Chemistry and Biotechnologies, Technische Universität Ilmenau, 98693 Ilmenau, Germany.
Felix RichterDepartment of Physical Chemistry and Microreaction Technologies, Institute for Chemistry and Biotechnologies, Technische Universität Ilmenau, 98693 Ilmenau, Germany.
Michael KastlCETONI GmbH Automatisierung und Microsysteme, 07554 Korbussen, Germany.
Jonny ErdmannCETONI GmbH Automatisierung und Microsysteme, 07554 Korbussen, Germany.
Christian BurgoldCETONI GmbH Automatisierung und Microsysteme, 07554 Korbussen, Germany.
David DittrichCETONI GmbH Automatisierung und Microsysteme, 07554 Korbussen, Germany.
Steffen SchneiderDepartment of Physical Chemistry and Microreaction Technologies, Institute for Chemistry and Biotechnologies, Technische Universität Ilmenau, 98693 Ilmenau, Germany.
J Michael KöhlerDepartment of Physical Chemistry and Microreaction Technologies, Institute for Chemistry and Biotechnologies, Technische Universität Ilmenau, 98693 Ilmenau, Germany.
G Alexander GroßDepartment of Physical Chemistry and Microreaction Technologies, Institute for Chemistry and Biotechnologies, Technische Universität Ilmenau, 98693 Ilmenau, Germany.

Funding

Thüringer Aufbaubank 2016FE9016
6 · The paper itself

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.

Indexed as

bacterialdose–responsedroplet-baseddroplet generatordynamic cultivationflow sensormicrobialphoto-fluorimetricproliferationscreeningsegmented-flow

Identifiers

PMID32521679
PMCPMC7345031

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.