Evidence map›Paper›PMID 32647504›Full record

ArticleEngineering in life sciences2020

Development and characterization of a fiber optical fluorescence sensor for the online monitoring of biofilms and their microenvironment.

Jana Schlaugat, Kai Patzer, Thorleif Hentrop, Dörte Solle, Iliyana Pepelanova, Uwe Schröder, Thomas Scheper

Abstract read
In one paragraph

Article in Engineering in life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Jana SchlaugatInstitute of Technical Chemistry Leibniz University Hannover Hannover Germany.
Kai PatzerInstitute of Technical Chemistry Leibniz University Hannover Hannover Germany.
Thorleif HentropInstitute of Technical Chemistry Leibniz University Hannover Hannover Germany.
Dörte SolleInstitute of Technical Chemistry Leibniz University Hannover Hannover Germany.
Iliyana PepelanovaInstitute of Technical Chemistry Leibniz University Hannover Hannover Germany.
Uwe SchröderInstitute of Environmental and Sustainable Chemistry Technische Universität Braunschweig Braunschweig Germany.
Thomas ScheperInstitute of Technical Chemistry Leibniz University Hannover Hannover Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth of microorganisms on surfaces and interfaces as a biofilm is very common and plays important role in various areas such as material science, biomedicine, or waste treatment among others. Due to their inhomogeneous structure and the variance in the microorganism consortium, the analysis of biofilms represents a significant challenge. An online fluorescence sensor was developed that is able to measure the most important biological fluorophores (proteins, nicotinamide adenine dinucleotide, and flavin) in a noninvasive manner in biofilms, e.g. in bioelectrochemical applications. The sensor gives the opportunity to continuously draw conclusions on the metabolic state of the biofilm. The developed sensor has a diameter of 1 mm at the sensor tip and can be moved on and into the biofilm surface. In the first experiment, the measuring range of the sensor and the long-term stability could be determined and the system applicability was confirmed. In addition, measurements in biofilm-like structures could be performed. The formation of a wastewater-based biofilm was monitored using the developed sensor, demonstrating the functionality of the sensor in a proof-of-principle experiment.

Indexed as

biofilm analysisbiogenic fluorophoresfluorescence sensoronline monitoring

Identifiers

PMID32647504
PMCPMC7336156

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.