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Optimization of flocculation conditions for Botryococcus braunii using response surface methodology
Biodiesel from microalgae is recognized as a desirable, renewable biofuel to replace petroleum-derived transport fuels. However, the efficient harvesting of microalgae is a major hurdle for commercialization. Therefore, the development of a cost-effective harvesting method is essential to reduce pro...
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Published in: | Journal of applied phycology 2013-06, Vol.25 (3), p.875-882 |
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creator | Kim, Dong-Geol Oh, Hee-Mock Park, Yong-Ha Kim, Hee-Sik Lee, Hyung-Gwan Ahn, Chi-Yong |
description | Biodiesel from microalgae is recognized as a desirable, renewable biofuel to replace petroleum-derived transport fuels. However, the efficient harvesting of microalgae is a major hurdle for commercialization. Therefore, the development of a cost-effective harvesting method is essential to reduce production cost. A partial factorial design was used to screen the main factors involved, which were the concentration of FeCl₃, the bioflocculant, and the time of slow mixing. Response surface methodology (RSM) was used to further investigate the optimal conditions for these factors on flocculation of Botryococcus braunii. Analysis of variance and other relevant tests confirmed the validity of the suggested model. The optimal conditions inferred from the obtained equation were 0.79 mM FeCl₃, 0.58 % (v/v) bioflocculant, and 180 sec of slow mixing for 1.1 g DCW L⁻¹ of B. braunii. The flocculating activity under these conditions was 90.6 %. By using RSM, the optimal conditions for flocculation of B. braunii could be reached more quickly and efficiently. |
doi_str_mv | 10.1007/s10811-012-9948-4 |
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However, the efficient harvesting of microalgae is a major hurdle for commercialization. Therefore, the development of a cost-effective harvesting method is essential to reduce production cost. A partial factorial design was used to screen the main factors involved, which were the concentration of FeCl₃, the bioflocculant, and the time of slow mixing. Response surface methodology (RSM) was used to further investigate the optimal conditions for these factors on flocculation of Botryococcus braunii. Analysis of variance and other relevant tests confirmed the validity of the suggested model. The optimal conditions inferred from the obtained equation were 0.79 mM FeCl₃, 0.58 % (v/v) bioflocculant, and 180 sec of slow mixing for 1.1 g DCW L⁻¹ of B. braunii. The flocculating activity under these conditions was 90.6 %. By using RSM, the optimal conditions for flocculation of B. braunii could be reached more quickly and efficiently.</description><identifier>ISSN: 0921-8971</identifier><identifier>EISSN: 1573-5176</identifier><identifier>DOI: 10.1007/s10811-012-9948-4</identifier><language>eng</language><publisher>Dordrecht: Springer-Verlag</publisher><subject>analysis of variance ; biodiesel ; Biofuels ; Biomedical and Life Sciences ; Biotechnology ; Botryococcus ; Botryococcus braunii ; commercialization ; Ecology ; Flocculation ; Freshwater & Marine Ecology ; harvesting ; Life Sciences ; Microalgae ; mixing ; Plant Physiology ; Plant Sciences ; production costs ; response surface methodology ; screening ; Variance analysis</subject><ispartof>Journal of applied phycology, 2013-06, Vol.25 (3), p.875-882</ispartof><rights>Springer Science+Business Media Dordrecht 2012</rights><rights>Springer Science+Business Media Dordrecht 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-c70ae90d13ce78480653ca5e474e25e42c2e6a2fd293e8956ea9bee6c55f240b3</citedby><cites>FETCH-LOGICAL-c397t-c70ae90d13ce78480653ca5e474e25e42c2e6a2fd293e8956ea9bee6c55f240b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Kim, Dong-Geol</creatorcontrib><creatorcontrib>Oh, Hee-Mock</creatorcontrib><creatorcontrib>Park, Yong-Ha</creatorcontrib><creatorcontrib>Kim, Hee-Sik</creatorcontrib><creatorcontrib>Lee, Hyung-Gwan</creatorcontrib><creatorcontrib>Ahn, Chi-Yong</creatorcontrib><title>Optimization of flocculation conditions for Botryococcus braunii using response surface methodology</title><title>Journal of applied phycology</title><addtitle>J Appl Phycol</addtitle><description>Biodiesel from microalgae is recognized as a desirable, renewable biofuel to replace petroleum-derived transport fuels. However, the efficient harvesting of microalgae is a major hurdle for commercialization. Therefore, the development of a cost-effective harvesting method is essential to reduce production cost. A partial factorial design was used to screen the main factors involved, which were the concentration of FeCl₃, the bioflocculant, and the time of slow mixing. Response surface methodology (RSM) was used to further investigate the optimal conditions for these factors on flocculation of Botryococcus braunii. Analysis of variance and other relevant tests confirmed the validity of the suggested model. The optimal conditions inferred from the obtained equation were 0.79 mM FeCl₃, 0.58 % (v/v) bioflocculant, and 180 sec of slow mixing for 1.1 g DCW L⁻¹ of B. braunii. The flocculating activity under these conditions was 90.6 %. By using RSM, the optimal conditions for flocculation of B. braunii could be reached more quickly and efficiently.</description><subject>analysis of variance</subject><subject>biodiesel</subject><subject>Biofuels</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Botryococcus</subject><subject>Botryococcus braunii</subject><subject>commercialization</subject><subject>Ecology</subject><subject>Flocculation</subject><subject>Freshwater & Marine Ecology</subject><subject>harvesting</subject><subject>Life Sciences</subject><subject>Microalgae</subject><subject>mixing</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>production costs</subject><subject>response surface methodology</subject><subject>screening</subject><subject>Variance analysis</subject><issn>0921-8971</issn><issn>1573-5176</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kb1vFDEQxS1EJI4kfwAVlmhoFmb8sV6XEIUPKVIKSG35fOPD0d76sHeL46-PT0uBKFK9Gen3nkZvGHuD8AEBzMeKMCB2gKKzVg2desE2qI3sNJr-JduAFdgN1uAr9rrWRwCwAw4bFu6PczqkP35OeeI58jjmEJZx3UOeduk8VR5z4Z_zXE45nIHKt8UvU0p8qWna80L12DDidSnRB-IHmn_lXR7z_nTFLqIfK13_1Uv28OX258237u7-6_ebT3ddkNbMXTDgycIOZSAzqAF6LYPXpIwi0UQEQb0XcSespMHqnrzdEvVB6ygUbOUle7_mHkv-vVCd3SHVQOPoJ8pLdaiEAdBC24a--w99zEuZ2nUOewMStZLYKFypUHKthaI7lnTw5eQQ3Ll2t9buWu3uXLtTzSNWT23stKfyT_IzprerKfrs_L6k6h5-CEDV_iStGOyzhEDQIJ8AywyZJA</recordid><startdate>20130601</startdate><enddate>20130601</enddate><creator>Kim, Dong-Geol</creator><creator>Oh, Hee-Mock</creator><creator>Park, Yong-Ha</creator><creator>Kim, Hee-Sik</creator><creator>Lee, Hyung-Gwan</creator><creator>Ahn, Chi-Yong</creator><general>Springer-Verlag</general><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TN</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H95</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>LK8</scope><scope>M0K</scope><scope>M7N</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20130601</creationdate><title>Optimization of flocculation conditions for Botryococcus braunii using response surface methodology</title><author>Kim, Dong-Geol ; Oh, Hee-Mock ; Park, Yong-Ha ; Kim, Hee-Sik ; Lee, Hyung-Gwan ; Ahn, Chi-Yong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-c70ae90d13ce78480653ca5e474e25e42c2e6a2fd293e8956ea9bee6c55f240b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>analysis of variance</topic><topic>biodiesel</topic><topic>Biofuels</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Botryococcus</topic><topic>Botryococcus braunii</topic><topic>commercialization</topic><topic>Ecology</topic><topic>Flocculation</topic><topic>Freshwater & Marine Ecology</topic><topic>harvesting</topic><topic>Life Sciences</topic><topic>Microalgae</topic><topic>mixing</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>production costs</topic><topic>response surface methodology</topic><topic>screening</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Dong-Geol</creatorcontrib><creatorcontrib>Oh, Hee-Mock</creatorcontrib><creatorcontrib>Park, Yong-Ha</creatorcontrib><creatorcontrib>Kim, Hee-Sik</creatorcontrib><creatorcontrib>Lee, Hyung-Gwan</creatorcontrib><creatorcontrib>Ahn, Chi-Yong</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oceanic Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Journal of applied phycology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Dong-Geol</au><au>Oh, Hee-Mock</au><au>Park, Yong-Ha</au><au>Kim, Hee-Sik</au><au>Lee, Hyung-Gwan</au><au>Ahn, Chi-Yong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of flocculation conditions for Botryococcus braunii using response surface methodology</atitle><jtitle>Journal of applied phycology</jtitle><stitle>J Appl Phycol</stitle><date>2013-06-01</date><risdate>2013</risdate><volume>25</volume><issue>3</issue><spage>875</spage><epage>882</epage><pages>875-882</pages><issn>0921-8971</issn><eissn>1573-5176</eissn><abstract>Biodiesel from microalgae is recognized as a desirable, renewable biofuel to replace petroleum-derived transport fuels. However, the efficient harvesting of microalgae is a major hurdle for commercialization. Therefore, the development of a cost-effective harvesting method is essential to reduce production cost. A partial factorial design was used to screen the main factors involved, which were the concentration of FeCl₃, the bioflocculant, and the time of slow mixing. Response surface methodology (RSM) was used to further investigate the optimal conditions for these factors on flocculation of Botryococcus braunii. Analysis of variance and other relevant tests confirmed the validity of the suggested model. The optimal conditions inferred from the obtained equation were 0.79 mM FeCl₃, 0.58 % (v/v) bioflocculant, and 180 sec of slow mixing for 1.1 g DCW L⁻¹ of B. braunii. The flocculating activity under these conditions was 90.6 %. 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subjects | analysis of variance biodiesel Biofuels Biomedical and Life Sciences Biotechnology Botryococcus Botryococcus braunii commercialization Ecology Flocculation Freshwater & Marine Ecology harvesting Life Sciences Microalgae mixing Plant Physiology Plant Sciences production costs response surface methodology screening Variance analysis |
title | Optimization of flocculation conditions for Botryococcus braunii using response surface methodology |
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