Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25655
Title: A scalable model for EPA and fatty acid production by Phaeodactylum tricornutum
Authors: Gu, W
Kavanagh, JM
McClure, DD
Keywords: microalgae;modelling;fatty acid;EPA;photobioreactor;phaeodactylum tricornutum
Issue Date: 12-Oct-2022
Publisher: Fromtiers Media SA
Citation: Gu, W., Kavanagh, J.M. and McClure, D.D. (2022) 'A scalable model for EPA and fatty acid production by Phaeodactylum tricornutum', Frontiers in Bioengineering and Biotechnology, 10, 1011570, pp. 1 - 19..doi: 10.3389/fbioe.2022.1011570.
Abstract: Copyright © 2022 Gu, Kavanagh and McClure.. Large-scale photoautotrophic production of microalgae has the potential to provide a sustainable supply of omega-3 fatty acids (eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA)) for human and animal nutrition. This study presents a kinetic model for the EPA-producing microalga Phaeodactylum tricornutum in photoautotrophic conditions, with light and nitrogen being the growth limiting factors. The model was developed using a dataset obtained from bench-scale (5 L) cultures and was successfully validated against pilot-scale (50 L) cultures. This model is the first to predict the biomass and total fatty acid accumulation along with the EPA concentrations in the biomass and total fatty acid fraction for microalgae. The model was used to develop an optimized repeated-batch strategy; implementation of this led to increases in the biomass and EPA productivities of 50 and 20% respectively. This clearly indicates the potential of the model to be used as a tool in the design, optimization and scale-up of microalgal systems for EPA production.
Description: Data availability statement: The data underpinning this publication can be accessed from Brunel University London's data repository, Brunelfigshare here under a CCBY licence: https://doi.org/10.17633/rd.brunel.21197263.v1.
URI: https://bura.brunel.ac.uk/handle/2438/25655
DOI: https://doi.org/10.3389/fbioe.2022.1011570
Other Identifiers: ORCID iD: Dale McClure https://orcid.org/0000-0001-6790-5179
1011570
Appears in Collections:Dept of Chemical Engineering Research Papers

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