Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 495990
Title Predicting microalgae growth
Author(s) Blanken, W.M.; Postma, P.R.; Winter, L. de; Wijffels, R.H.; Janssen, M.G.J.
Source Algal Research 14 (2016). - ISSN 2211-9264 - p. 28 - 38.
DOI https://doi.org/10.1016/j.algal.2015.12.020
Department(s) Bioprocess Engineering
VLAG
Publication type Refereed Article in a scientific journal
Publication year 2016
Abstract A generally applicable kineticmodel is presented to predict light limitedmicroalgal growth. Thismodel combines a mathematical description for photoautotrophic sugar productionwith a description for aerobic chemoheterotrophic biomass growth. The model is based on five parameters which are directly measurable but were obtained from literature for the purpose of this study. The modelwas validated for Chlorella sorokinianawith 52 experiments derived from eight publications and for Chlamydomonas reinhardtii with 32 experiments derived from seven publications. The specific growth rate was initially predicted with a mean absolute percent error (MAPE) of 34–36%.
The lowaccuracy ismost likely caused by simplifications in the lightmodel and inaccurate parameter estimations. When optimizing the light model per experimental dataset, a 1–2%MAPE was obtained.When optimizing input
parameters separately from the light model, a 2–18% MAPE was realized. After validating this model on batch data, we conclude that this model is a reliable engineering tool to predict growth in photobioreactors provided the light field is accurately measured or calculated.
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