期刊
BIOTECHNOLOGY FOR BIOFUELS
卷 8, 期 -, 页码 -出版社
BMC
DOI: 10.1186/s13068-015-0238-7
关键词
Algae; Nutrient; Biomass; Screening; High-throughput; Growth
资金
- Australian Research Council
- Queensland Government (National and International Research Alliance Program)
- Faculty of Applied Sciences at the Universiti Teknologi MARA (UiTM) (PhD Research Scholarship) in Malaysia
- Institute for Molecular Biosciences (Research Scholarship)
- University of Queensland
Background: Microalgae provide an excellent platform for the production of high-value-products and are increasingly being recognised as a promising production system for biomass, animal feeds and renewable fuels. Results: Here, we describe an automated screen, to enable high-throughput optimisation of 12 nutrients for microalgae production. Its miniaturised 1,728 multiwell format allows multiple microalgae strains to be simultaneously screened using a two-step process. Step 1 optimises the primary elements nitrogen and phosphorous. Step 2 uses Box-Behnken analysis to define the highest growth rates within the large multidimensional space tested (Ca, Mg, Fe, Mn, Zn, Cu, B, Se, V, Si) at three levels (-1, 0, 1). The highest specific growth rates and maximum OD750 values provide a measure for continuous and batch culture. Conclusion: The screen identified the main nutrient effects on growth, pairwise nutrient interactions (for example, Ca-Mg) and the best production conditions of the sampled statistical space providing the basis for a targeted full factorial screen to assist with optimisation of algae production.
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