Evidence map›Paper›PMID 38854161›Full record

ArticleFrontiers in nutrition2024

Marine microalgae

Petra Literáková, Tomáš Zavřel, Diana Búzová, Petr Kaštánek, Jan Červený

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2024. 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. Review
  2. Review
  3. Review
  4. 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

5 authors.

Petra LiterákováDepartment of Adaptive Biotechnologies, Global Change Research Institute, The Czech Academy of Sciences, Brno, Czechia.
Tomáš ZavřelDepartment of Adaptive Biotechnologies, Global Change Research Institute, The Czech Academy of Sciences, Brno, Czechia.
Diana BúzováDepartment of Adaptive Biotechnologies, Global Change Research Institute, The Czech Academy of Sciences, Brno, Czechia.
Petr KaštánekEcoFuel Laboratories s.r.o., Prague, Czechia.
Jan ČervenýDepartment of Adaptive Biotechnologies, Global Change Research Institute, The Czech Academy of Sciences, Brno, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Polyunsaturated fatty acids (PUFAs) are essential nutrients that humans obtain from their diet, primarily through fish oil consumption. However, fish oil production is no longer sustainable. An alternative approach is to produce PUFAs through marine microalgae. Despite the potential of algae strains to accumulate high concentrations of PUFAs, including essential fatty acids (EFAs), many aspects of PUFA production by microalgae remain unexplored and their current production outputs are frequently suboptimal. Methods: In this study, we optimized biomass and selected ω-3 PUFAs production in two strains of algae, Results: We found that both strains grew well at low pH levels (4.5), which could reduce bacterial contamination and facilitate the use of industrial waste products as substrate supplements. Intensive stirring was necessary for rapid biomass accumulation but caused cell disruption during lipid accumulation. Docosahexaenoic acid (DHA) yield was independent of cultivation temperature within a range of 28-34°C. We also achieved high cell densities (up to 9 g/L) and stable DHA production (average around 0.1 g/L/d) under diverse conditions and nutrient concentrations, with minimal nutrients required for stable production including standard sea salt, glucose or glycerol, and yeast extract. Discussion: Our findings demonstrate the potential of

Indexed as

bioreactorsdocosahexaenoic acidgrowthhealth supplementsoptimizationprocess automationunicellular eukaryote

Identifiers

PMID38854161
PMCPMC11157098

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.