Evidence map›Paper›PMID 34965888›Full record

ArticleBMC research notes2021

Establishment of a simple method to evaluate mixing times in a plastic bag photobioreactor using image processing based on freeware tools.

Henrike Wurm, Michael Sandmann

Abstract read
In one paragraph

Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Henrike WurmUniversity of Applied Sciences Neubrandenburg, Brodaer Straße 2, 17033, Neubrandenburg, Germany.
Michael SandmannUniversity of Applied Sciences Neubrandenburg, Brodaer Straße 2, 17033, Neubrandenburg, Germany. sandmann@hs-nb.de.

Funding

University of Applied Sciences Neubrandenburg 13311002
6 · The paper itself

Abstract

objectiveAccurate determination of the mixing time in bioreactors is essential for the optimization of the productivity of bioprocesses. The aim of this work was to develop a simple optical method to determine the mixing time in a photobioreactor. The image processing method should be based on freeware tools, should not require programming skills, and thus could be used in education within high schools and in early stages of undergraduate programs.

resultsAn optical method has been established to analyze images from recorded videos of mixing experiments. The steps are: 1. Extraction of a sequence of images from the video file; 2. Cropping of the pictures; 3. Background removal; and 4. Image analysis and mixing time evaluation based on quantification of pixel-to-pixel heterogeneity within a given area of interest. The novel method was generally able to track the dependency between aeration rate and mixing time within the investigated photobioreactor. In direct comparison, a PEARSON correlation coefficient of rho = 0.99 was obtained. Gas flow rates between 10 L h

Indexed as

BioreactorsPhotobioreactorsPlasticsPlasticsAerationAlgaeFluid dynamicsImage analysisMixing timePhotobioreactorpH probe

Identifiers

PMID34965888
PMCPMC8715616

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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.