Optimization of flocculation conditions for kaolin suspension using the composite flocculant of MBFGA1 and PAC by response surface methodology
The response surface methodology (RSM) was employed to study the treatment of kaolin suspension by the composite flocculant of MBFGA1 and PAC. And the two quadratic models of the five factors were established with the flocculating rate and floc size as the target responses. The optimal flocculating...
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| Veröffentlicht in: | Bioresource technology 2009-09, Vol.100 (18), p.4233-4239 |
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| creator | Yang, Zhao-Hui Huang, Jing Zeng, Guang-Ming Ruan, Min Zhou, Chang-Sheng Li, Lu Rong, Zong-Gen |
| description | The response surface methodology (RSM) was employed to study the treatment of kaolin suspension by the composite flocculant of MBFGA1 and PAC. And the two quadratic models of the five factors were established with the flocculating rate and floc size as the target responses. The optimal flocculating conditions are MBFGA1 99.75
mg/L, PAC 121
mg/L, pH 7.3, CaCl
2 27
mg/L and the top speed of stir 163
rpm, respectively. That was obtained from the compromised results of two desirable responses, flocculating rate as 100% and floc size as 0.7
mm which were deduced from the frequency of responses. By means of Zeta potential measurement and experiment of flocculating process, it could be concluded that PAC has more capability on changing the potential of colloid and MBFGA1 is good at absorption and bridge effect. The composite of two kinds of predominance makes a significant sense on enhancing flocculating rate, reducing flocculent costs and decreasing secondary pollution. |
| doi_str_mv | 10.1016/j.biortech.2008.12.033 |
| format | Article |
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mg/L, PAC 121
mg/L, pH 7.3, CaCl
2 27
mg/L and the top speed of stir 163
rpm, respectively. That was obtained from the compromised results of two desirable responses, flocculating rate as 100% and floc size as 0.7
mm which were deduced from the frequency of responses. By means of Zeta potential measurement and experiment of flocculating process, it could be concluded that PAC has more capability on changing the potential of colloid and MBFGA1 is good at absorption and bridge effect. The composite of two kinds of predominance makes a significant sense on enhancing flocculating rate, reducing flocculent costs and decreasing secondary pollution.</description><identifier>ISSN: 0960-8524</identifier><identifier>EISSN: 1873-2976</identifier><identifier>DOI: 10.1016/j.biortech.2008.12.033</identifier><identifier>PMID: 19419858</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Bacillus - metabolism ; bioflocculants ; Biological and medical sciences ; Colloiding ; Composite flocculant ; Fermentation ; flocculants ; Flocculating ; Flocculation ; Fundamental and applied biological sciences. Psychology ; Kaolin ; Kaolin - chemistry ; Mathematical models ; Microbial flocculants ; Optimization ; Paenibacillus polymyxa ; Pollution abatement ; polyaluminium chloride ; Polyaluminium chloride (PAC) ; Response surface methodology ; Response surface methodology (RSM) ; Surface Properties ; Zeta potential</subject><ispartof>Bioresource technology, 2009-09, Vol.100 (18), p.4233-4239</ispartof><rights>2008</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c551t-79cc3528d36442ceeef2515630db6d3fec62c33d0bcb43ef975e0f2d1ccf674b3</citedby><cites>FETCH-LOGICAL-c551t-79cc3528d36442ceeef2515630db6d3fec62c33d0bcb43ef975e0f2d1ccf674b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.biortech.2008.12.033$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21551184$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19419858$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Zhao-Hui</creatorcontrib><creatorcontrib>Huang, Jing</creatorcontrib><creatorcontrib>Zeng, Guang-Ming</creatorcontrib><creatorcontrib>Ruan, Min</creatorcontrib><creatorcontrib>Zhou, Chang-Sheng</creatorcontrib><creatorcontrib>Li, Lu</creatorcontrib><creatorcontrib>Rong, Zong-Gen</creatorcontrib><title>Optimization of flocculation conditions for kaolin suspension using the composite flocculant of MBFGA1 and PAC by response surface methodology</title><title>Bioresource technology</title><addtitle>Bioresour Technol</addtitle><description>The response surface methodology (RSM) was employed to study the treatment of kaolin suspension by the composite flocculant of MBFGA1 and PAC. And the two quadratic models of the five factors were established with the flocculating rate and floc size as the target responses. The optimal flocculating conditions are MBFGA1 99.75
mg/L, PAC 121
mg/L, pH 7.3, CaCl
2 27
mg/L and the top speed of stir 163
rpm, respectively. That was obtained from the compromised results of two desirable responses, flocculating rate as 100% and floc size as 0.7
mm which were deduced from the frequency of responses. By means of Zeta potential measurement and experiment of flocculating process, it could be concluded that PAC has more capability on changing the potential of colloid and MBFGA1 is good at absorption and bridge effect. The composite of two kinds of predominance makes a significant sense on enhancing flocculating rate, reducing flocculent costs and decreasing secondary pollution.</description><subject>Bacillus - metabolism</subject><subject>bioflocculants</subject><subject>Biological and medical sciences</subject><subject>Colloiding</subject><subject>Composite flocculant</subject><subject>Fermentation</subject><subject>flocculants</subject><subject>Flocculating</subject><subject>Flocculation</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Kaolin</subject><subject>Kaolin - chemistry</subject><subject>Mathematical models</subject><subject>Microbial flocculants</subject><subject>Optimization</subject><subject>Paenibacillus polymyxa</subject><subject>Pollution abatement</subject><subject>polyaluminium chloride</subject><subject>Polyaluminium chloride (PAC)</subject><subject>Response surface methodology</subject><subject>Response surface methodology (RSM)</subject><subject>Surface Properties</subject><subject>Zeta potential</subject><issn>0960-8524</issn><issn>1873-2976</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0ctu1DAUBuAIgehQeIXiDZdNBl9iJ9kxjGhBKioSdG059vGMhyRO7QRpeAieGUcZyq6sbEuf_2P5z7ILgtcEE_HusG6cDyPo_ZpiXK0JXWPGHmUrUpUsp3UpHmcrXAucV5wWZ9mzGA8YY0ZK-jQ7I3VB6opXq-z3zTC6zv1So_M98hbZ1ms9tctZ-964eReR9QH9UL51PYpTHKCPM5ii63do3EOi3eCjG-E-oR_nvC8fLq82BKneoK-bLWqOKEAcUiKknGCVBtTBuPfGt353fJ49saqN8OK0nme3lx-_bz_l1zdXn7eb61xzTsa8rLVmnFaGiaKgGgAs5YQLhk0jDLOgBdWMGdzopmBg65IDttQQra0oi4adZ2-W3CH4uwniKDsXNbTp1eCnKKuKYcoY5Um-flCKkor0zXWCbx-ERJSElbzkNFGxUB18jAGsHILrVDhKguVcrzzIv_XKuV5JqEz1posXpxlT04H5d-3UZwKvTkBFrVobVK9dvHeUpO8jVZHcy8VZ5aXahWRuv1FMWBrOeF3No94vAlINPx0EGbWDXoNxAfQojXf_e-0fbbLSjA</recordid><startdate>20090901</startdate><enddate>20090901</enddate><creator>Yang, Zhao-Hui</creator><creator>Huang, Jing</creator><creator>Zeng, Guang-Ming</creator><creator>Ruan, Min</creator><creator>Zhou, Chang-Sheng</creator><creator>Li, Lu</creator><creator>Rong, Zong-Gen</creator><general>Elsevier Ltd</general><general>[New York, NY]: Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope><scope>7QO</scope><scope>7ST</scope><scope>7TV</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>20090901</creationdate><title>Optimization of flocculation conditions for kaolin suspension using the composite flocculant of MBFGA1 and PAC by response surface methodology</title><author>Yang, Zhao-Hui ; Huang, Jing ; Zeng, Guang-Ming ; Ruan, Min ; Zhou, Chang-Sheng ; Li, Lu ; Rong, Zong-Gen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c551t-79cc3528d36442ceeef2515630db6d3fec62c33d0bcb43ef975e0f2d1ccf674b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Bacillus - metabolism</topic><topic>bioflocculants</topic><topic>Biological and medical sciences</topic><topic>Colloiding</topic><topic>Composite flocculant</topic><topic>Fermentation</topic><topic>flocculants</topic><topic>Flocculating</topic><topic>Flocculation</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Kaolin</topic><topic>Kaolin - chemistry</topic><topic>Mathematical models</topic><topic>Microbial flocculants</topic><topic>Optimization</topic><topic>Paenibacillus polymyxa</topic><topic>Pollution abatement</topic><topic>polyaluminium chloride</topic><topic>Polyaluminium chloride (PAC)</topic><topic>Response surface methodology</topic><topic>Response surface methodology (RSM)</topic><topic>Surface Properties</topic><topic>Zeta potential</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Zhao-Hui</creatorcontrib><creatorcontrib>Huang, Jing</creatorcontrib><creatorcontrib>Zeng, Guang-Ming</creatorcontrib><creatorcontrib>Ruan, Min</creatorcontrib><creatorcontrib>Zhou, Chang-Sheng</creatorcontrib><creatorcontrib>Li, Lu</creatorcontrib><creatorcontrib>Rong, Zong-Gen</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Bioresource technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Zhao-Hui</au><au>Huang, Jing</au><au>Zeng, Guang-Ming</au><au>Ruan, Min</au><au>Zhou, Chang-Sheng</au><au>Li, Lu</au><au>Rong, Zong-Gen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of flocculation conditions for kaolin suspension using the composite flocculant of MBFGA1 and PAC by response surface methodology</atitle><jtitle>Bioresource technology</jtitle><addtitle>Bioresour Technol</addtitle><date>2009-09-01</date><risdate>2009</risdate><volume>100</volume><issue>18</issue><spage>4233</spage><epage>4239</epage><pages>4233-4239</pages><issn>0960-8524</issn><eissn>1873-2976</eissn><abstract>The response surface methodology (RSM) was employed to study the treatment of kaolin suspension by the composite flocculant of MBFGA1 and PAC. And the two quadratic models of the five factors were established with the flocculating rate and floc size as the target responses. The optimal flocculating conditions are MBFGA1 99.75
mg/L, PAC 121
mg/L, pH 7.3, CaCl
2 27
mg/L and the top speed of stir 163
rpm, respectively. That was obtained from the compromised results of two desirable responses, flocculating rate as 100% and floc size as 0.7
mm which were deduced from the frequency of responses. By means of Zeta potential measurement and experiment of flocculating process, it could be concluded that PAC has more capability on changing the potential of colloid and MBFGA1 is good at absorption and bridge effect. The composite of two kinds of predominance makes a significant sense on enhancing flocculating rate, reducing flocculent costs and decreasing secondary pollution.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>19419858</pmid><doi>10.1016/j.biortech.2008.12.033</doi><tpages>7</tpages></addata></record> |
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| subjects | Bacillus - metabolism bioflocculants Biological and medical sciences Colloiding Composite flocculant Fermentation flocculants Flocculating Flocculation Fundamental and applied biological sciences. Psychology Kaolin Kaolin - chemistry Mathematical models Microbial flocculants Optimization Paenibacillus polymyxa Pollution abatement polyaluminium chloride Polyaluminium chloride (PAC) Response surface methodology Response surface methodology (RSM) Surface Properties Zeta potential |
| title | Optimization of flocculation conditions for kaolin suspension using the composite flocculant of MBFGA1 and PAC by response surface methodology |
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