Automated nutrient screening system enables high-throughput optimisation of microalgae production conditions

Radzun, Adzfa Radzun, Wolf, Juliane, Jakob, Gisela, Zhang, Eugene, Stephens, Evan, Ross, Ian and Hankamer, Ben (2015) Automated nutrient screening system enables high-throughput optimisation of microalgae production conditions. Biotechnology for Biofuels, 8 1: 65.1-65.17. doi:10.1186/s13068-015-0238-7


Author Radzun, Adzfa Radzun
Wolf, Juliane
Jakob, Gisela
Zhang, Eugene
Stephens, Evan
Ross, Ian
Hankamer, Ben
Title Automated nutrient screening system enables high-throughput optimisation of microalgae production conditions
Journal name Biotechnology for Biofuels   Check publisher's open access policy
ISSN 1754-6834
Publication date 2015-04-11
Sub-type Article (original research)
DOI 10.1186/s13068-015-0238-7
Open Access Status DOI
Volume 8
Issue 1
Start page 65.1
End page 65.17
Total pages 17
Place of publication London, United Kingdom
Publisher BioMed Central
Collection year 2016
Language eng
Formatted abstract
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.
Keyword Algae
Nutrient
Biomass
Screening
High-throughput
Growth
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article number: 65

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
Institute for Molecular Bioscience - Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 9 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 8 times in Scopus Article | Citations
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Created: Fri, 10 Apr 2015, 23:11:57 EST by Evan Stephens on behalf of Institute for Molecular Bioscience