Evidence map›Paper›PMID 26264183›Full record

ArticleScientific reports2015

Monitoring microbial metabolites using an inductively coupled resonance circuit.

Daniil Karnaushenko, Larysa Baraban, Dan Ye, Ilke Uguz, Rafael G Mendes, Mark H Rümmeli, J Arjan G M de Visser, Oliver G Schmidt, Gianaurelio Cuniberti, Denys Makarov

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2015. 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
1.1field-weighted citation impact, top 23% of its field
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, 16 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Daniil KarnaushenkoInstitute for Integrative Nanosciences, IFW Dresden, Helmholtzstr. 20, 01069 Dresden, Germany.
Larysa BarabanInstitute for Materials Science and Max Bergmann Center of Biomaterials, Dresden University of Technology, Budapesterstr. 27, 01069 Dresden, Germany.
Dan YeInstitute for Materials Science and Max Bergmann Center of Biomaterials, Dresden University of Technology, Budapesterstr. 27, 01069 Dresden, Germany.
Ilke UguzInstitute for Materials Science and Max Bergmann Center of Biomaterials, Dresden University of Technology, Budapesterstr. 27, 01069 Dresden, Germany.
Rafael G MendesInstitute for Solid State Research, IFW Dresden, Helmholtzstr. 20, 01069 Dresden, Germany.
Mark H RümmeliInstitute for Solid State Research, IFW Dresden, Helmholtzstr. 20, 01069 Dresden, Germany.
J Arjan G M de VisserLaboratory of Genetics, Wageningen University, 6708PB, Wageningen, The Netherlands.
Oliver G Schmidt1] Institute for Integrative Nanosciences, IFW Dresden, Helmholtzstr. 20, 01069 Dresden, Germany [2] Material Systems for Nanoelectronics, Chemnitz University of Technology, Reichenhainer Str. 70, 09107 Chemnitz, Germany [3] Merge Technologies for Multifunctional Lightweight Structures, Chemnitz University of Technology, Reichenhainer Str. 70, 09107 Chemnitz, Germany.
Gianaurelio Cuniberti1] Institute for Materials Science and Max Bergmann Center of Biomaterials, Dresden University of Technology, Budapesterstr. 27, 01069 Dresden, Germany [2] Center for Advancing Electronics Dresden (CfAED), Dresden University of Technology, 01062 Dresden, Germany.
Denys MakarovInstitute for Integrative Nanosciences, IFW Dresden, Helmholtzstr. 20, 01069 Dresden, Germany.
Leibniz Institute for Solid State and Materials Research · DEMax Bergmann Zentrum für Biomaterialien · DEChemnitz University of Technology · DEWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a new approach to monitor microbial population dynamics in emulsion droplets via changes in metabolite composition, using an inductively coupled LC resonance circuit. The signal measured by such resonance detector provides information on the magnetic field interaction with the bacterial culture, which is complementary to the information accessible by other detection means, based on electric field interaction, i.e. capacitive or resistive, as well as optical techniques. Several charge-related factors, including pH and ammonia concentrations, were identified as possible contributors to the characteristic of resonance detector profile. The setup enables probing the ionic byproducts of microbial metabolic activity at later stages of cell growth, where conventional optical detection methods have no discriminating power.

Indexed as

BacteriaHigh-Throughput Screening AssaysLab-On-A-Chip Devices

Identifiers

PMID26264183
PMCPMC4533006
OpenAlexW2195655408

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.