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Harvesting of microalgae by bio-flocculation

Open access
Salim, Sina, Bosma, Rouke, Vermuë, Marian H., Wijffels, René H.·2011·Journal of Applied Phycology

Abstract

The high-energy input for harvesting biomass makes current commercial microalgal biodiesel production economically unfeasible. A novel harvesting method is presented as a cost and energy efficient alternative: the bio-flocculation by using one flocculating microalga to concentrate the non-flocculating microalga of interest. Three flocculating microalgae, tested for harvesting of microalgae from different habitats, improved the sedimentation rate of the accompanying microalga and increased the recovery of biomass. The advantages of this method are that no addition of chemical flocculants is required and that similar cultivation conditions can be used for the flocculating microalgae as for the microalgae of interest that accumulate lipids. This method is as easy and effective as chemical flocculation which is applied at industrial scale, however in contrast it is sustainable and cost-effective as no costs are involved for pre-treatment of the biomass for oil extraction and for pre-treatment of the medium before it can be re-used.

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Metadata

Authors
Salim, S., Bosma, R., Vermuë, M. H., & Wijffels, R. H.
Venue
Journal of Applied Phycology
Published
2010-09-28
Volume
23
Issue
5
Pages
849-855
ISSN
  • 0921-8971 (ISSN-L)
  • 1573-5176
OpenAlex
W2029993908
Cited by
476
References
0
FWCI
8.45
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Harvesting of microalgae by bio-flocculation. https://app.cochat.ai/papers/10.1007/s10811-010-9591-x
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Salim, S., Bosma, R., Vermuë, M. H., & Wijffels, R. H. (2011). Harvesting of microalgae by bio-flocculation. Journal of Applied Phycology. https://doi.org/10.1007/s10811-010-9591-x

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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.