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Growth parameter estimation and model simulation for three industrially relevant microalgae: Picochlorum, Nannochloropsis, and Neochloris

Multiple models have been developed in the field to simulate growth and product accumulation of microalgal cultures. These models heavily depend on the accurate estimation of growth parameters. In this paper growth parameters are presented for three industrially relevant microalgae species: Nannochl...

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Autores principales: Barten, Robin, Chin‐On, Rocca, de Vree, Jeroen, van Beersum, Ellen, Wijffels, Rene H., Barbosa, Maria J., Janssen, Marcel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303635/
https://www.ncbi.nlm.nih.gov/pubmed/35119109
http://dx.doi.org/10.1002/bit.28052
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author Barten, Robin
Chin‐On, Rocca
de Vree, Jeroen
van Beersum, Ellen
Wijffels, Rene H.
Barbosa, Maria J.
Janssen, Marcel
author_facet Barten, Robin
Chin‐On, Rocca
de Vree, Jeroen
van Beersum, Ellen
Wijffels, Rene H.
Barbosa, Maria J.
Janssen, Marcel
author_sort Barten, Robin
collection PubMed
description Multiple models have been developed in the field to simulate growth and product accumulation of microalgal cultures. These models heavily depend on the accurate estimation of growth parameters. In this paper growth parameters are presented for three industrially relevant microalgae species: Nannochloropsis sp., Neochloris oleoabundans, and Picochlorum sp. (BPE23). Dedicated growth experiments were done in photobioreactors to determine the maximal biomass yield on light and maintenance rate, while oxygen evolution experiments were performed to estimate the maximal specific growth rate. Picochlorum sp. exhibited the highest specific growth rate of 4.98 ± 0.24 day(−1) and the lowest specific maintenance rate of 0.079 day(−1), whereas N. oleoabundans showed the highest biomass yield on light of 1.78 g(x)·mol(ph) (−1). The measured growth parameters were used in a simple kinetic growth model for verification. When simulating growth under light conditions as found at Bonaire (12 °N, 68° W), Picochlorum sp. displayed the highest areal biomass productivity of 32.2 g.m(−2)·day(−1) and photosynthetic efficiency of 2.8%. The presented growth parameters show to be accurate compared to experimental data and can be used for model calibration by scientists and industrial communities in the field.
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spelling pubmed-93036352022-07-28 Growth parameter estimation and model simulation for three industrially relevant microalgae: Picochlorum, Nannochloropsis, and Neochloris Barten, Robin Chin‐On, Rocca de Vree, Jeroen van Beersum, Ellen Wijffels, Rene H. Barbosa, Maria J. Janssen, Marcel Biotechnol Bioeng ARTICLES Multiple models have been developed in the field to simulate growth and product accumulation of microalgal cultures. These models heavily depend on the accurate estimation of growth parameters. In this paper growth parameters are presented for three industrially relevant microalgae species: Nannochloropsis sp., Neochloris oleoabundans, and Picochlorum sp. (BPE23). Dedicated growth experiments were done in photobioreactors to determine the maximal biomass yield on light and maintenance rate, while oxygen evolution experiments were performed to estimate the maximal specific growth rate. Picochlorum sp. exhibited the highest specific growth rate of 4.98 ± 0.24 day(−1) and the lowest specific maintenance rate of 0.079 day(−1), whereas N. oleoabundans showed the highest biomass yield on light of 1.78 g(x)·mol(ph) (−1). The measured growth parameters were used in a simple kinetic growth model for verification. When simulating growth under light conditions as found at Bonaire (12 °N, 68° W), Picochlorum sp. displayed the highest areal biomass productivity of 32.2 g.m(−2)·day(−1) and photosynthetic efficiency of 2.8%. The presented growth parameters show to be accurate compared to experimental data and can be used for model calibration by scientists and industrial communities in the field. John Wiley and Sons Inc. 2022-02-19 2022-06 /pmc/articles/PMC9303635/ /pubmed/35119109 http://dx.doi.org/10.1002/bit.28052 Text en © 2022 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle ARTICLES
Barten, Robin
Chin‐On, Rocca
de Vree, Jeroen
van Beersum, Ellen
Wijffels, Rene H.
Barbosa, Maria J.
Janssen, Marcel
Growth parameter estimation and model simulation for three industrially relevant microalgae: Picochlorum, Nannochloropsis, and Neochloris
title Growth parameter estimation and model simulation for three industrially relevant microalgae: Picochlorum, Nannochloropsis, and Neochloris
title_full Growth parameter estimation and model simulation for three industrially relevant microalgae: Picochlorum, Nannochloropsis, and Neochloris
title_fullStr Growth parameter estimation and model simulation for three industrially relevant microalgae: Picochlorum, Nannochloropsis, and Neochloris
title_full_unstemmed Growth parameter estimation and model simulation for three industrially relevant microalgae: Picochlorum, Nannochloropsis, and Neochloris
title_short Growth parameter estimation and model simulation for three industrially relevant microalgae: Picochlorum, Nannochloropsis, and Neochloris
title_sort growth parameter estimation and model simulation for three industrially relevant microalgae: picochlorum, nannochloropsis, and neochloris
topic ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303635/
https://www.ncbi.nlm.nih.gov/pubmed/35119109
http://dx.doi.org/10.1002/bit.28052
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