Starch Rich Chlorella vulgaris: High-Throughput Screening and Up-Scale for Tailored Biomass Production
Open accessAbstract
The use of microalgal starch has been studied in biorefinery frameworks to produce bioethanol or bioplastics, however, these products are currently not economically viable. Using starch-rich biomass as an ingredient in food applications is a novel way to create more value while expanding the product portfolio of the microalgal industry. Optimization of starch production in the food-approved species Chlorella vulgaris was the main objective of this study. High-throughput screening of biomass composition in response to multiple stressors was performed with FTIR spectroscopy. Nitrogen starvation was identified as an important factor for starch accumulation. Moreover, further studies were performed to assess the role of light distribution, investigating the role of photon supply rates in flat panel photobioreactors. Starch-rich biomass with up to 30% starch was achieved in cultures with low inoculation density (0.1 g L−1) and high irradiation (1800 µmol m−2 s−1). A final large-scale experiment was performed in 25 L tubular reactors, achieving a maximum of 44% starch in the biomass after 12 h in nitrogen starved conditions.
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The microalgae high-throughput screening system HTS-MAB developed by Wageningen University integrates machine learning and real-time image analysis to automatically select the most productive microalgae strains under dynamically changing cultivation conditions.
“One example of an advanced research platform is the microalgae high-throughput screening system (HTS-MAB) developed by Wageningen University, which integrates machine learning and real-time image analysis to automatically select the most productive microalgae strains under dynamically changing cultivation conditions [259].”
From Multi-Sensing Monitoring of the Microalgae Biomass Cultivation Systems for Biofuels and Added Value Products Synthesis—Challenges and Opportunities (2025) · cites this paper as [259]
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References 66 · Cited by 17
Research works printed but not linked: 1
- Harris, E.H. Chlamydomonas in the Laboratory. In The Chlamydomonas Sourcebook; Academic Press Inc.: San Diego, CA, USA, 2009; pp. 241-302.
- Authors
- Carnovale, G., Rosa, F., Shapaval, V., Dzurendova, S., Kohler, A., Wicklund, T., Horn, S. J., Barbosa, M. J., & Skjånes, K.
- Affiliations
- Norwegian Institute of Bioeconomy Research (NO)
- Norwegian University of Life Sciences (NO)
- Faculty of Science and Technology, Norwegian University of Life Sciences (NMBU), P.O. Box 5003, 1432 Ås, Norway
- Bioprocess Engineering, AlgaePARC, Wageningen University, P.O. Box 16, 6700 AA Wageningen, The Netherlands
- Corresponding author
- Skjånes, Kari
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2021-09-28
- Volume
- 11
- Issue
- 19
- Pages
- 9025
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W3202254366
- Cited by
- 17
- References
- 66
- Citations by year
- 2025: 5 · 2024: 2 · 2023: 5 · 2022: 5
- FWCI
- 0.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- Socio-Environmental Systems Modeling (acceptedVersion, cc-by)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Funders
- Norges Forskningsråd (267872)
- NordForsk (82845)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Aquaculture Nutrition and Growth
- Keywords
- Chlorella vulgaris, starch accumulation, nitrogen starvation, high-throughput screening, FTIR spectroscopy, light distribution, flat panel photobioreactor, tubular photobioreactor, inoculation density, biomass composition, biorefinery
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