Evidence map›Paper›PMID 29654357›Full record

ArticleBioprocess and biosystems engineering2018

Pretreatment of different food rest materials for bioconversion into fungal lipid-rich biomass.

D Tzimorotas, N K Afseth, D Lindberg, O Kjørlaug, L Axelsson, V Shapaval

Abstract read
In one paragraph

Article in Bioprocess and biosystems engineering, 2018. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Mucoromycota fungi as powerful cell factories for modern biorefinery.Applied microbiology and biotechnology · 2022
    Review
  4. 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

6 authors.

D TzimorotasNofima AS, 1430, Ås, Norway. dimitrios.tzimorotas@nofima.no.ORCID http://orcid.org/0000-0002-1320-9714
N K AfsethNofima AS, 1430, Ås, Norway.
D LindbergNofima AS, 1430, Ås, Norway.
O KjørlaugCambi Group AS, 1383, Asker, Norway.
L AxelssonNofima AS, 1430, Ås, Norway.
V ShapavalNofima AS, 1430, Ås, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food rest materials have the potential to be used as media components in various types of fermentations. Oleaginous filamentous fungi can utilize those components and generate a high-value lipid-rich biomass, which could be further used for animal and human use. One of the main limitations in this process is the pretreatment of food rest materials, needed to provide homogenization, sterilization and solubilization. In this study, two pretreatment processes-steam explosion and enzymatic hydrolysis-were evaluated for potato and animal protein-rich food rest materials. The pretreated food rest materials were used for the production of fungal lipid-rich biomass in submerged fermentation by the oleaginous fungus Mucor circinelloides. Cultivation media based on malt extract broth and glucose were used as controls of growth and lipid production, respectively. It was observed that media based on food rest materials can support growth and lipid production in M. circinelloides to a similar extent as the control media. More specifically, the use of potato hydrolysate combined with chicken auto-hydrolysate resulted in a higher fungal total biomass weight than using malt extract broth. When the same C/N ratio was used for glucose and rest materials-based media, similar lipid content was obtained or even higher using the latter media.

Indexed as

BiomassAnimalsChickensHydrolysisLipidsMucorPlant Proteins, DietarySolanum tuberosumLipidsPlant Proteins, DietaryFood rest materialsFungiLipidsPretreatmentSubmerged fermentation

Identifiers

PMID29654357
PMCPMC6013528

What OpenQuestion holds

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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.