Pupo, O., Garcia, S., Mare, L.D. et al. (2 more authors) (2018) Optimization of Chaetoceros gracilis microalgae production for fish feeding using an airlift photobioreactor. Advance Journal of Food Science and Technology, 15 (SPL). pp. 83-90. ISSN 2042-4868
Abstract
An experimental procedure was carried out to maximize Chaetoceros gracilis growth. Chaetoceros gracilis, marine microalgae, is considered for feeding fisheries with no GMO (Genetically Modified Organisms) to avoid human health hazards. Furthermore, following United Nations Resolution on water, the microalgae is grown in photobioreactors due to its low water usage. To maximize the microalgae growth, an experimental design was carried out to analyze the effects of Light Intensity, CO2 supply per day, Sparger type, Photoperiod and Inlet airflow, pH and water temperature were monitored but not controlled. It was found that Light intensity and CO2 supply per day have statistical significance. Out of three possible scenarios, 1700 lux and 80 gr/day of CO2, leads to a cell density at day three of 310×104 cel/mL which represents 20% more of the density attained in day two under bag (standard) growing conditions. It was also found that water Ph has also a strong effect over cell density.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Maxwell Scientific Publication Corp. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Keywords: | Airlift; Chaetoceros gracilis; food security; optimization; photobioreactor |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Feb 2020 15:53 |
Last Modified: | 07 Feb 2020 16:01 |
Status: | Published |
Publisher: | Maxwell Scientific Publication Corp. |
Refereed: | Yes |
Identification Number: | 10.19026/ajfst.14.5876 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155334 |