Evidence map›Paper›PMID 35168633›Full record

ArticleBMC research notes2022

Inline monitoring of high cell density cultivation of Scenedesmus rubescens in a mesh ultra-thin layer photobioreactor by photon density wave spectroscopy.

Michael Sandmann, Marvin Münzberg, Lena Bressel, Oliver Reich, Roland Hass

Abstract read
In one paragraph

Article in BMC research notes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Michael SandmannUniversity of Applied Sciences Neubrandenburg, Brodaer Straße 2, 17033, Neubrandenburg, Germany. sandmann@hs-nb.de.
Marvin MünzbergPhysical Chemistry-innoFSPEC Potsdam, Institute of Chemistry, University of Potsdam, Am Mühlenberg 3, 14476, Potsdam, Germany.
Lena BresselPhysical Chemistry-innoFSPEC Potsdam, Institute of Chemistry, University of Potsdam, Am Mühlenberg 3, 14476, Potsdam, Germany.
Oliver ReichPhysical Chemistry-innoFSPEC Potsdam, Institute of Chemistry, University of Potsdam, Am Mühlenberg 3, 14476, Potsdam, Germany.
Roland HassPhysical Chemistry-innoFSPEC Potsdam, Institute of Chemistry, University of Potsdam, Am Mühlenberg 3, 14476, Potsdam, Germany.

Funding

Bundesministerium für Bildung und Forschung 03Z2AN12Land Brandenburg ILB project number 80139585
6 · The paper itself

Abstract

objectiveDue to multiple light scattering that occurs inside and between cells, quantitative optical spectroscopy in turbid biological suspensions is still a major challenge. This includes also optical inline determination of biomass in bioprocessing. Photon Density Wave (PDW) spectroscopy, a technique based on multiple light scattering, enables the independent and absolute determination of optical key parameters of concentrated cell suspensions, which allow to determine biomass during cultivation.

resultsA unique reactor type, called "mesh ultra-thin layer photobioreactor" was used to create a highly concentrated algal suspension. PDW spectroscopy measurements were carried out continuously in the reactor without any need of sampling or sample preparation, over 3 weeks, and with 10-min time resolution. Conventional dry matter content and coulter counter measurements have been employed as established offline reference analysis. The PBR allowed peak cell dry weight (CDW) of 33.4 g L

Indexed as

PhotobioreactorsScenedesmusBiomassCell CountSpectrum AnalysisFiber-optical spectroscopyMesh ultra-thin layer photobioreactorMultiple light scatteringPhoton density wave spectroscopyProcess analytical technology

Identifiers

PMID35168633
PMCPMC8845379

What OpenQuestion holds

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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.