Kinetic modelling of starch and lipid formation during mixotrophic, nutrient-limited microalgal growth
•We developed a new kinetic model to predict microalgal starch and lipid formation.•Model dynamics were experimentally validated for a range of conditions.•The model can account for coupled acetate and nitrogen concentration changes.•Optimal initial feed strategies are computed to maximise starch &a...
Gespeichert in:
Veröffentlicht in: | Bioresource technology 2017-10, Vol.241, p.868-878 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | •We developed a new kinetic model to predict microalgal starch and lipid formation.•Model dynamics were experimentally validated for a range of conditions.•The model can account for coupled acetate and nitrogen concentration changes.•Optimal initial feed strategies are computed to maximise starch & lipid production.•Experimental validation of optimal results showed excellent agreement.
Microalgal starch and lipids, carbon-based storage molecules, are useful as potential biofuel feedstocks. In this work, cultivation strategies maximising starch and lipid formation were established by developing a multi-parameter kinetic model describing microalgal growth as well as starch and lipid formation, in conjunction with laboratory-scale experiments. Growth dynamics are driven by nitrogen-limited mixotrophic conditions, known to increase cellular starch and lipid contents whilst enhancing biomass growth. Model parameters were computed by fitting model outputs to a range of experimental datasets from batch cultures of Chlamydomonas reinhardtii. Predictive capabilities of the model were established against different experimental data. The model was subsequently used to compute optimal nutrient-based cultivation strategies in terms of initial nitrogen and carbon concentrations. Model-based optimal strategies yielded a significant increase of 261% for starch (0.065gCL−1) and 66% for lipid (0.08gCL−1) production compared to base-case conditions (0.018gCL−1 starch, 0.048gCL−1 lipids). |
---|---|
ISSN: | 0960-8524 1873-2976 |
DOI: | 10.1016/j.biortech.2017.05.177 |