Evidence map›Paper›PMID 34201486›Full record

ArticleInternational journal of molecular sciences2021

Assessment of Biotechnologically Important Filamentous Fungal Biomass by Fourier Transform Raman Spectroscopy.

Simona Dzurendová, Volha Shapaval, Valeria Tafintseva, Achim Kohler, Dana Byrtusová, Martin Szotkowski, Ivana Márová, Boris Zimmermann

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 40 citations in OpenAlex.

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  13. Ion-Modified Starch Film Enables Rapid Detection of Spoiled Fruit Juices.International journal of molecular sciences · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Mucoromycota fungi as powerful cell factories for modern biorefinery.Applied microbiology and biotechnology · 2022
    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

8 authors at 2 institutions in 2 countries.

Simona DzurendováFaculty of Science and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway.
Volha ShapavalFaculty of Science and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway.ORCID 0000-0003-2674-1328
Valeria TafintsevaFaculty of Science and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway.ORCID 0000-0001-6015-0893
Achim KohlerFaculty of Science and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway.
Dana ByrtusováFaculty of Science and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway.
Martin SzotkowskiFaculty of Chemistry, Brno University of Technology, Purkyňova 464/118, 61200 Brno, Czech Republic.
Ivana MárováFaculty of Chemistry, Brno University of Technology, Purkyňova 464/118, 61200 Brno, Czech Republic.
Boris ZimmermannFaculty of Science and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway.ORCID 0000-0001-5046-520X
Norwegian University of Life Sciences · NOBrno University of Technology · CZ

Funding

Norges Forskningsråd BIONÆR Grant, projects number 268305Norges Forskningsråd BIONÆR Grant, projects number 305215Norges Forskningsråd FMETEKN Grant, project number 257622Norges Forskningsråd HAVBRUK2 Grant, project number 302543Norges Forskningsråd IS-DAAD Grant, project number 309220Norges Forskningsråd MATFONDAVTALE Grant, project number 301834Norges Forskningsråd Nordforsk Grant, project number 103507
6 · The paper itself

Abstract

Oleaginous filamentous fungi can accumulate large amount of cellular lipids and biopolymers and pigments and potentially serve as a major source of biochemicals for food, feed, chemical, pharmaceutical, and transport industries. We assessed suitability of Fourier transform (FT) Raman spectroscopy for screening and process monitoring of filamentous fungi in biotechnology. Six Mucoromycota strains were cultivated in microbioreactors under six growth conditions (three phosphate concentrations in the presence and absence of calcium). FT-Raman and FT-infrared (FTIR) spectroscopic data was assessed in respect to reference analyses of lipids, phosphorus, and carotenoids by using principal component analysis (PCA), multiblock or consensus PCA, partial least square regression (PLSR), and analysis of spectral variation due to different design factors by an ANOVA model. All main chemical biomass constituents were detected by FT-Raman spectroscopy, including lipids, proteins, cell wall carbohydrates, and polyphosphates, and carotenoids. FT-Raman spectra clearly show the effect of growth conditions on fungal biomass. PLSR models with high coefficients of determination (0.83-0.94) and low error (approximately 8%) for quantitative determination of total lipids, phosphates, and carotenoids were established. FT-Raman spectroscopy showed great potential for chemical analysis of biomass of oleaginous filamentous fungi. The study demonstrates that FT-Raman and FTIR spectroscopies provide complementary information on main fungal biomass constituents.

Indexed as

BiomassBiotechnologyCalciumCarotenoidsChromatography, GasChromatography, High Pressure LiquidFourier AnalysisFungiLipidsMagnetic Resonance SpectroscopyPhosphorusPigments, BiologicalPrincipal Component AnalysisSpectrophotometry, UltravioletSpectroscopy, Fourier Transform InfraredSpectrum Analysis, RamanCalciumCarotenoidsLipidsPhosphorusPigments, Biologicalbiodieselbiopolymerscarotenoidschitinchitosanfatty acidsfermentationfungioleaginous microorganismspigments

Identifiers

PMID34201486
PMCPMC8269384
OpenAlexW3173845833

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.