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Cited by 19Algal biology and biofuel productionMicrobial Metabolic Engineering and BioproductionLipid metabolism and biosynthesis

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Evaluating low-cost substrates for Crypthecodinium cohnii lipids and DHA production, by flow cytometry

Open access
Taborda, Tiago, Moniz, Patrícia, Reis, Alberto, da Silva, Teresa Lopes·2021·Journal of Applied Phycology

Abstract

Crypthecodinium cohnii growth was studied on pure carbon sources (glucose, acetate, glycerol) and low-cost complex carbon sources (sugarcane molasses, crude glycerol and vinegar effluent) for lipid and DHA production. Among the pure substrates, glucose induced the highest lipid content (14.75% w/w DCW) and DHA content (7.14 mg g −1 DCW). Among the low-cost substrates, the highest lipid and DHA content were observed for the crude glycerol assay (14.7% w/w DCW and 6.56 mg g −1 , respectively). Molasses induced the highest proportion of DHA of total fatty acids (49.58% w/w TFA) among all the substrates studied. Flow cytometric analysis revealed that the vinegar effluent induced the highest proportion of C. cohnii cells with injured membrane (92.8%). These results foresee the possibility of using these low-cost substrates at a larger scale for C. cohnii DHA and biodiesel production, aiming at zero wastes and process costs reduction.

Overview

Integrity signals

Registry

Crossref · 10.1007/s10811-020-02304-z

Cites

22 of 22 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 4

  1. Hilling F (2014) Impact of cultivation conditions and bioreactor design on docosahexaenoic acid production by heterotrophic marine microalga. A scale up study. PhD Thesis, Technische Universität Berlin
  2. Hosoglu M, Elibol M (2017a) Improvement of medium composition and cultivation conditions for growth and lipid production by Crypthecodinium cohnii. Romanian Biotechnol Lett 22:13086–11309
  3. Hosoglu M, Elibol M (2017b) Bioutilization of cheese whey and corn steep liquor by heterotrophic microalgae Crypthecodinium cohnii for biomass and lipid production. Akademik Gida 15:233–241
  4. Safdar W, Zan X, Song Y (2017) Synergistic effects of pH, temperature and agitation on growth kinetics and docosahexaenoic acid production of C. cohnii cultures on different carbon sources. Int J Research Agricult Sci 4:2348–3997

Metadata

Authors
Taborda, T., Moniz, P., Reis, A., & da Silva, T. L.
Affiliations
National Laboratory of Energy and Geology (PT)
Venue
Journal of Applied Phycology
Published
2020-10-26
Volume
33
Issue
1
Pages
263-274
ISSN
  • 0921-8971 (ISSN-L)
  • 1573-5176
OpenAlex
W3096679145
Cited by
19
References
22
Citations by year
2026: 2 · 2025: 5 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 3
FWCI
0.44
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Applied Phycology (publishedVersion)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by)
Funders
  • Fundação para a Ciência e a Tecnologia (PTDC/EAM-AMB/30169/2017)
  • Horizon 2020 Framework Programme ((BBRI)-LISBOA-01-0145-FEDER-022059)
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
Keywords
Crypthecodinium cohnii, docosahexaenoic acid, low-cost substrates, crude glycerol, sugarcane molasses, glucose, acetate, glycerol, membrane damage, fatty acid composition, biodiesel feedstock, waste valorization

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.