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

Authors
  • Barten, Robin1
  • Chin-On, Rocca1, 2
  • de Vree, Jeroen1
  • van Beersum, Ellen1
  • Wijffels, Rene H1, 3
  • Barbosa, Maria J1
  • Janssen, Marcel1
  • 1 Bioprocess Engineering & AlgaePARC, Wageningen University and Research, Wageningen, The Netherlands. , (Netherlands)
  • 2 Water- en Energiebedrijf Bonaire, Kralendijk, Bonaire. , (Caribbean Netherlands)
  • 3 Biosciences and Aquaculture, Nord University, Bodø, Norway. , (Norway)
Type
Published Article
Journal
Biotechnology and Bioengineering
Publisher
Wiley (John Wiley & Sons)
Publication Date
Jun 01, 2022
Volume
119
Issue
6
Pages
1416–1425
Identifiers
DOI: 10.1002/bit.28052
PMID: 35119109
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

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 gx ·molph -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. © 2022 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC.

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