Title |
Solar spectral conversion for improving the photosynthetic activity in algae reactors
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Published in |
Nature Communications, June 2013
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DOI | 10.1038/ncomms3047 |
Pubmed ID | |
Authors |
Lothar Wondraczek, Miroslaw Batentschuk, Markus A. Schmidt, Rudolf Borchardt, Simon Scheiner, Benjamin Seemann, Peter Schweizer, Christoph J. Brabec |
Abstract |
Sustainable biomass production is expected to be one of the major supporting pillars for future energy supply, as well as for renewable material provision. Algal beds represent an exciting resource for biomass/biofuel, fine chemicals and CO2 storage. Similar to other solar energy harvesting techniques, the efficiency of algal photosynthesis depends on the spectral overlap between solar irradiation and chloroplast absorption. Here we demonstrate that spectral conversion can be employed to significantly improve biomass growth and oxygen production rate in closed-cycle algae reactors. For this purpose, we adapt a photoluminescent phosphor of the type Ca0.59Sr0.40Eu0.01S, which enables efficient conversion of the green part of the incoming spectrum into red light to better match the Qy peak of chlorophyll b. Integration of a Ca0.59Sr0.40Eu0.01S backlight converter into a flat panel algae reactor filled with Haematococcus pluvialis as a model species results in significantly increased photosynthetic activity and algae reproduction rate. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 3 | 1% |
Germany | 2 | <1% |
Australia | 1 | <1% |
Netherlands | 1 | <1% |
Belgium | 1 | <1% |
Mexico | 1 | <1% |
Unknown | 206 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 62 | 29% |
Researcher | 43 | 20% |
Student > Master | 22 | 10% |
Student > Bachelor | 14 | 7% |
Professor > Associate Professor | 11 | 5% |
Other | 25 | 12% |
Unknown | 38 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 32 | 15% |
Agricultural and Biological Sciences | 31 | 14% |
Chemistry | 20 | 9% |
Materials Science | 18 | 8% |
Physics and Astronomy | 18 | 8% |
Other | 44 | 20% |
Unknown | 52 | 24% |