Journal article 271 views
Comparison of screening methods for high-throughput determination of oil yields in micro-algal biofuel strains
Journal of Applied Phycology, Volume: 25, Issue: 4, Pages: 961 - 972
Swansea University Author: Steve Slocombe
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DOI (Published version): 10.1007/s10811-012-9947-5
Abstract
The phenotypic and phylogenetic diversity of micro-algae capable of accumulating triacylglycerols provides a challenge for the accurate determination of biotechnological potential. High-yielding strains are needed to improve economic viability and their compositional information is required for opti...
| Published in: | Journal of Applied Phycology |
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| ISSN: | 0921-8971 1573-5176 |
| Published: |
Springer Science and Business Media LLC
2013
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa65473 |
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| Abstract: |
The phenotypic and phylogenetic diversity of micro-algae capable of accumulating triacylglycerols provides a challenge for the accurate determination of biotechnological potential. High-yielding strains are needed to improve economic viability and their compositional information is required for optimizing biodiesel properties. To facilitate a high-throughput screening programme, a very rapid direct-derivatization procedure capable of extracting lyophilized material for GC analysis was compared with a scaled-down Folch-based method. This was carried out on ten micro-algal strains from 6 phyla where the more rapid direct-derivatization approach was found to provide a more reliable measure of yield. The modified Folch-based procedure was found to substantially underestimate oil yield in one Chlorella species (P < 0.01). In terms of fatty acid composition however, the Folch procedure proved to be slightly better in recovering polyunsaturated fatty acids, in six out of the ten strains. Therefore, direct-derivatization is recommended for rapid determination of yields in screening approaches but can provide slightly less compositional accuracy than solvent-based extraction methods. |
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| Keywords: |
Intelligent screening; In situ transesterification; Lipids; Biodiesel; Biofuel; Chlorella |
| College: |
Faculty of Science and Engineering |
| Issue: |
4 |
| Start Page: |
961 |
| End Page: |
972 |