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Comparison of screening methods for high-throughput determination of oil yields in micro-algal biofuel strains

Steve Slocombe Orcid Logo, QianYi Zhang, Kenneth D. Black, John G. Day, Michele S. Stanley

Journal of Applied Phycology, Volume: 25, Issue: 4, Pages: 961 - 972

Swansea University Author: Steve Slocombe Orcid Logo

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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...

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Published in: Journal of Applied Phycology
ISSN: 0921-8971 1573-5176
Published: Springer Science and Business Media LLC 2013
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URI: https://cronfa.swan.ac.uk/Record/cronfa65473
first_indexed 2024-01-22T12:43:13Z
last_indexed 2024-11-25T14:16:09Z
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spelling 2024-03-23T11:40:43.1137453 v2 65473 2024-01-22 Comparison of screening methods for high-throughput determination of oil yields in micro-algal biofuel strains 4a1ea486a78ed357efdfa053a277ae40 0000-0002-3549-7999 Steve Slocombe Steve Slocombe true false 2024-01-22 BGPS 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. Journal Article Journal of Applied Phycology 25 4 961 972 Springer Science and Business Media LLC 0921-8971 1573-5176 Intelligent screening; In situ transesterification; Lipids; Biodiesel; Biofuel; Chlorella 1 8 2013 2013-08-01 10.1007/s10811-012-9947-5 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2024-03-23T11:40:43.1137453 2024-01-22T12:42:22.1756421 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Steve Slocombe 0000-0002-3549-7999 1 QianYi Zhang 2 Kenneth D. Black 3 John G. Day 4 Michele S. Stanley 5
title Comparison of screening methods for high-throughput determination of oil yields in micro-algal biofuel strains
spellingShingle Comparison of screening methods for high-throughput determination of oil yields in micro-algal biofuel strains
Steve Slocombe
title_short Comparison of screening methods for high-throughput determination of oil yields in micro-algal biofuel strains
title_full Comparison of screening methods for high-throughput determination of oil yields in micro-algal biofuel strains
title_fullStr Comparison of screening methods for high-throughput determination of oil yields in micro-algal biofuel strains
title_full_unstemmed Comparison of screening methods for high-throughput determination of oil yields in micro-algal biofuel strains
title_sort Comparison of screening methods for high-throughput determination of oil yields in micro-algal biofuel strains
author_id_str_mv 4a1ea486a78ed357efdfa053a277ae40
author_id_fullname_str_mv 4a1ea486a78ed357efdfa053a277ae40_***_Steve Slocombe
author Steve Slocombe
author2 Steve Slocombe
QianYi Zhang
Kenneth D. Black
John G. Day
Michele S. Stanley
format Journal article
container_title Journal of Applied Phycology
container_volume 25
container_issue 4
container_start_page 961
publishDate 2013
institution Swansea University
issn 0921-8971
1573-5176
doi_str_mv 10.1007/s10811-012-9947-5
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
document_store_str 0
active_str 0
description 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.
published_date 2013-08-01T05:17:48Z
_version_ 1851097212367405056
score 11.444314

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