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. 2020 Dec 17;10(1):22229.
doi: 10.1038/s41598-020-79269-z.

Lipid yield from the diatom Porosira glacialis is determined by solvent choice and number of extractions, independent of cell disruption

Affiliations

Lipid yield from the diatom Porosira glacialis is determined by solvent choice and number of extractions, independent of cell disruption

Jon Brage Svenning et al. Sci Rep. .

Abstract

Cell wall disruption is necessary to maximize lipid extraction yields in conventional species of mass-cultivated microalgae. This study investigated the effect of sonication, solvent choice and number of extractions on the lipid yield, lipid class composition and fatty acid composition of the diatom Porosira glacialis. For comparison, the diatom Odontella aurita and green alga Chlorella vulgaris were included in the study. Sonication effectively disrupted P. glacialis cells, but did not increase the total lipid yield compared to physical stirring (mixing). In all three microalgae, the content of membrane-associated glyco- and phosopholipids in the extracted lipids was strongly dependent on the solvent polarity. A second extraction resulted in higher yields from the microalgae only when polar solvents were used. In conclusion, choice of solvent and number of extractions were the main factors that determined lipid yield and lipid class composition in P. glacialis.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
The effect of cell disruption on thawed biomass of Porosira glacialis. (a) Control, (b) manual grinding using a PTFE pestle, (c) microwave, (d) lyophilization, (e) sonication, (f) Ultrathurax. All images were captured at 100 × magnification.
Figure 2
Figure 2
Lipid yields as percent of AFDW (Ash-free dry weight) from Porosira glacialis using three solvent systems; dichloromethane/methanol (2:1 v/v); DCM/MeOH), Hexane/isopropanol (2:1 v/v; Hexane/IPA) and hexane; and three cell disruption treatments; no treatment (control), shaking at 1000 RPM for 60 min (mixing) and sonication at 20 kHz for 10 min (sonication). Two consecutive extractions were performed, data shown is the arithmetic mean of each extraction, n = 5. The error bars represent the standard deviation of the mean for the first extraction (bottom bar) and for the total yield (top bar).
Figure 3
Figure 3
Lipid yields as percent of AFDW (Ash-free dry weight) from Odontella aurita using three solvent systems; dichloromethane/methanol (2:1 v/v) (DCM/MeOH), hexane/isopropanol (2:1 v/v) (Hexane/IPA) and hexane; and three cell disruption treatments; no treatment (control), mixing at 1000 RPM for 60 min (mixing) and sonication at 20 kHz for 10 min (sonication). Two consecutive extractions were performed, data shown is the arithmetic mean of each extraction, n = 5. The error bars represent the standard deviation of the mean for the first extraction (bottom bar) and for the total yield (top bar).
Figure 4
Figure 4
Lipid yields as percent of AFDW (Ash-free dry weight) from Chlorella vulgaris using three solvent systems; dichloromethane/methanol (2:1 v/v) (DCM/MeOH), Hexane/isopropanol (2:1 v/v) (Hexane/IPA) and hexane; and three cell disruption treatments; no treatment (control), mixing at 1000 RPM for 60 min (mixing and sonication at 20 kHz for 10 min (sonication). Two consecutive extractions were performed, data shown is the arithmetic mean of each extraction, n = 5. The error bars represent the standard deviation of the mean for the first extraction (bottom bar) and for the total yield (top bar).

References

    1. Chisti Y. Biodiesel from microalgae. Biotechnol. Adv. 2007;25:294–306. doi: 10.1016/j.biotechadv.2007.02.001. - DOI - PubMed
    1. Sprague M, Betancor MB, Tocher DR. Microbial and genetically engineered oils as replacements for fish oil in aquaculture feeds. Biotechnol. Lett. 2017;39:1599–1609. doi: 10.1007/s10529-017-2402-6. - DOI - PMC - PubMed
    1. Ryckebosch E, et al. Nutritional evaluation of microalgae oils rich in omega-3 long chain polyunsaturated fatty acids as an alternative for fish oil. Food Chem. 2014;160:393–400. doi: 10.1016/j.foodchem.2014.03.087. - DOI - PubMed
    1. Benedetti M, Vecchi V, Barera S, Dall'Osto L. Biomass from microalgae: the potential of domestication towards sustainable biofactories. Microb. Cell Fact. 2018;17:1. doi: 10.1186/s12934-018-1019-3. - DOI - PMC - PubMed
    1. Borowitzka MA. High-value products from microalgae-their development and commercialisation. J. Appl. Phycol. 2013;25:743–756. doi: 10.1007/s10811-013-9983-9. - DOI

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