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

Robin Barten*, Rocca Chin-On, Jeroen de Vree, Ellen van Beersum, Rene H. Wijffels, Maria J. Barbosa, Marcel Janssen

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)1416-1425
JournalBiotechnology and Bioengineering
Volume119
Issue number6
Early online date4 Feb 2022
DOIs
Publication statusPublished - Jun 2022

Keywords

  • growth model
  • microalgae
  • parameter estimation
  • photobioreactor
  • Picochlorum

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