ArticleBiotechnology for biofuels2021
Optimisation of microalgal cultivation via nutrient-enhanced strategies: the biorefinery paradigm.
Article in Biotechnology for biofuels, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- A Low-DimensionalMolecules (Basel, Switzerland) · 2026Article
- Enhanced COMolecules (Basel, Switzerland) · 2026Article
- The MicroalgaeCells · 2024Review
- Improvement of N and P ratio for enhanced biomass productivity and sustainable cultivation ofHeliyon · 2024Article
- Lipid accumulation mechanism of Amphora coffeaeformis under nitrogen deprivation and its application as a feed additive in Carassius auratus aquaculture.Biotechnology for biofuels and bioproducts · 2023Article
- Microalgae and co-culture for polishing pollutants of anaerobically treated agro-processing industry wastewater: the case of slaughterhouse.Bioresources and bioprocessing · 2023Article
- Review
- A multiscale modelling approach forBiotechnology reports (Amsterdam, Netherlands) · 2022Article
- Review
- Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters.Frontiers in plant science · 2022Article
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3 authors.
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Abstract
backgroundThe production of microalgal biofuels, despite their sustainable and renowned potential, is not yet cost-effective compared to current conventional fuel technologies. However, the biorefinery concept increases the prospects of microalgal biomass as an economically viable feedstock suitable for the co-production of multiple biofuels along with value-added chemicals. To integrate biofuels production within the framework of a microalgae biorefinery, it is not only necessary to exploit multi-product platforms, but also to identify optimal microalgal cultivation strategies maximising the microalgal metabolites from which biofuels are obtained: starch and lipids. Whilst nutrient limitation is widely known for increasing starch and lipid formation, this cultivation strategy can greatly reduce microalgal growth. This work presents an optimisation framework combining predictive modelling and experimental methodologies to effectively simulate and predict microalgal growth dynamics and identify optimal cultivation strategies.
resultsMicroalgal cultivation strategies for maximised starch and lipid formation were successfully established by developing a multi-parametric kinetic model suitable for the prediction of mixotrophic microalgal growth dynamics co-limited by nitrogen and phosphorus. The model's high predictive capacity was experimentally validated against various datasets obtained from laboratory-scale cultures of Chlamydomonas reinhardtii CCAP 11/32C subject to different initial nutrient regimes. The identified model-based optimal cultivation strategies were further validated experimentally and yielded significant increases in starch (+ 270%) and lipid (+ 74%) production against a non-optimised strategy.
conclusionsThe optimised microalgal cultivation scenarios for maximised starch and lipids, as identified by the kinetic model presented here, highlight the benefits of exploiting modelling frameworks as optimisation tools that facilitate the development and commercialisation of microalgae-to-fuel technologies.
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