Modeling and Optimization by RSM for the Removal of the Dye "Palanil blue R” by Coagulation-Flocculation Process
This study aims to optimize the factors influencing the removal of textile dyes by a physicochemical treatment, coagulation-flocculation, using an experimental design. By carrying out the tests and analysing the data, the screening of the factors made it possible to identify the optimum conditions n...
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Veröffentlicht in: | International Journal of Environmental Research 2022-06, Vol.16 (3), Article 35 |
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creator | Chenna, Malika Kebaili, Maya Lardjane, Nadia Drouiche, Nadjib Lounici, Hakim |
description | This study aims to optimize the factors influencing the removal of textile dyes by a physicochemical treatment, coagulation-flocculation, using an experimental design. By carrying out the tests and analysing the data, the screening of the factors made it possible to identify the optimum conditions necessary to obtain better elimination. These operating conditions are pH, coagulant dose, the concentration of initial solutions, and stirring speed. Our study demonstrated the importance of applying the design of experiments methodology, particularly the response surface methodology (RSM). A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation.
Article Highlights
The factors influencing the removal of textile dyes by a physicochemical treatment have been studied
.
A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation
.
A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation
. |
doi_str_mv | 10.1007/s41742-022-00413-w |
format | Article |
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Article Highlights
The factors influencing the removal of textile dyes by a physicochemical treatment have been studied
.
A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation
.
A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation
.</description><identifier>ISSN: 1735-6865</identifier><identifier>EISSN: 2008-2304</identifier><identifier>DOI: 10.1007/s41742-022-00413-w</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Coagulants ; Coagulation ; Color removal ; Design of experiments ; Design optimization ; Dyes ; Earth and Environmental Science ; Environment ; Environmental Engineering/Biotechnology ; Environmental Management ; Experimental design ; Factorial design ; Flocculation ; Geoecology/Natural Processes ; Landscape/Regional and Urban Planning ; Natural Hazards ; Optimization ; Parameters ; Physicochemical treatment ; Research Paper ; Response surface methodology</subject><ispartof>International Journal of Environmental Research, 2022-06, Vol.16 (3), Article 35</ispartof><rights>University of Tehran 2022</rights><rights>COPYRIGHT 2022 Springer</rights><rights>University of Tehran 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c203w-a92dd99cd1204f39e48a131dc3feffed1402abf54b5386f8f379c3c4c0b4bb3f3</citedby><cites>FETCH-LOGICAL-c203w-a92dd99cd1204f39e48a131dc3feffed1402abf54b5386f8f379c3c4c0b4bb3f3</cites><orcidid>0000-0002-4809-1920</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s41742-022-00413-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s41742-022-00413-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Chenna, Malika</creatorcontrib><creatorcontrib>Kebaili, Maya</creatorcontrib><creatorcontrib>Lardjane, Nadia</creatorcontrib><creatorcontrib>Drouiche, Nadjib</creatorcontrib><creatorcontrib>Lounici, Hakim</creatorcontrib><title>Modeling and Optimization by RSM for the Removal of the Dye "Palanil blue R” by Coagulation-Flocculation Process</title><title>International Journal of Environmental Research</title><addtitle>Int J Environ Res</addtitle><description>This study aims to optimize the factors influencing the removal of textile dyes by a physicochemical treatment, coagulation-flocculation, using an experimental design. By carrying out the tests and analysing the data, the screening of the factors made it possible to identify the optimum conditions necessary to obtain better elimination. These operating conditions are pH, coagulant dose, the concentration of initial solutions, and stirring speed. Our study demonstrated the importance of applying the design of experiments methodology, particularly the response surface methodology (RSM). A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation.
Article Highlights
The factors influencing the removal of textile dyes by a physicochemical treatment have been studied
.
A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation
.
A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation
.</description><subject>Coagulants</subject><subject>Coagulation</subject><subject>Color removal</subject><subject>Design of experiments</subject><subject>Design optimization</subject><subject>Dyes</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Environmental Management</subject><subject>Experimental design</subject><subject>Factorial design</subject><subject>Flocculation</subject><subject>Geoecology/Natural Processes</subject><subject>Landscape/Regional and Urban Planning</subject><subject>Natural Hazards</subject><subject>Optimization</subject><subject>Parameters</subject><subject>Physicochemical treatment</subject><subject>Research Paper</subject><subject>Response surface methodology</subject><issn>1735-6865</issn><issn>2008-2304</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kc1KAzEQx4MoWLQv4CnoeWu-9utYqlVBaal6DtlsUlPSTU22lnryRXw5n8S0W_DmDEOY8P9NhvwBuMBogBHKrwPDOSMJIrEQwzTZHIEeQahICEXsGPRwTtMkK7L0FPRDWKAYtCwzlvWAf3K1sqaZQ9HUcLJqzdJ8ita4BlZbOHt-gtp52L4pOFNL9yEsdHrf3mwVvJwKKxpjYWXXUfDz9b2DRk7M13Y_IxlbJ-WhgVPvpArhHJxoYYPqH84z8Dq-fRndJ4-Tu4fR8DGRBNFNIkpS12Upa0wQ07RUrBCY4lpSrbRWNWaIiEqnrEppkelC07yUVDKJKlZVVNMzcNXNXXn3vlah5Qu39k18kpMsxxSlJcZRNehUc2EVN412rRcyZq2WRrpGaRPvhznKMhp_N40A6QDpXQheab7yZin8lmPEd37wzg8e_eB7P_gmQrSDQhQ3c-X_dvmH-gVwW47t</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Chenna, Malika</creator><creator>Kebaili, Maya</creator><creator>Lardjane, Nadia</creator><creator>Drouiche, Nadjib</creator><creator>Lounici, Hakim</creator><general>Springer International Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-4809-1920</orcidid></search><sort><creationdate>20220601</creationdate><title>Modeling and Optimization by RSM for the Removal of the Dye "Palanil blue R” by Coagulation-Flocculation Process</title><author>Chenna, Malika ; Kebaili, Maya ; Lardjane, Nadia ; Drouiche, Nadjib ; Lounici, Hakim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c203w-a92dd99cd1204f39e48a131dc3feffed1402abf54b5386f8f379c3c4c0b4bb3f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Coagulants</topic><topic>Coagulation</topic><topic>Color removal</topic><topic>Design of experiments</topic><topic>Design optimization</topic><topic>Dyes</topic><topic>Earth and Environmental Science</topic><topic>Environment</topic><topic>Environmental Engineering/Biotechnology</topic><topic>Environmental Management</topic><topic>Experimental design</topic><topic>Factorial design</topic><topic>Flocculation</topic><topic>Geoecology/Natural Processes</topic><topic>Landscape/Regional and Urban Planning</topic><topic>Natural Hazards</topic><topic>Optimization</topic><topic>Parameters</topic><topic>Physicochemical treatment</topic><topic>Research Paper</topic><topic>Response surface methodology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chenna, Malika</creatorcontrib><creatorcontrib>Kebaili, Maya</creatorcontrib><creatorcontrib>Lardjane, Nadia</creatorcontrib><creatorcontrib>Drouiche, Nadjib</creatorcontrib><creatorcontrib>Lounici, Hakim</creatorcontrib><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>International Journal of Environmental Research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chenna, Malika</au><au>Kebaili, Maya</au><au>Lardjane, Nadia</au><au>Drouiche, Nadjib</au><au>Lounici, Hakim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling and Optimization by RSM for the Removal of the Dye "Palanil blue R” by Coagulation-Flocculation Process</atitle><jtitle>International Journal of Environmental Research</jtitle><stitle>Int J Environ Res</stitle><date>2022-06-01</date><risdate>2022</risdate><volume>16</volume><issue>3</issue><artnum>35</artnum><issn>1735-6865</issn><eissn>2008-2304</eissn><abstract>This study aims to optimize the factors influencing the removal of textile dyes by a physicochemical treatment, coagulation-flocculation, using an experimental design. By carrying out the tests and analysing the data, the screening of the factors made it possible to identify the optimum conditions necessary to obtain better elimination. These operating conditions are pH, coagulant dose, the concentration of initial solutions, and stirring speed. Our study demonstrated the importance of applying the design of experiments methodology, particularly the response surface methodology (RSM). A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation.
Article Highlights
The factors influencing the removal of textile dyes by a physicochemical treatment have been studied
.
A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation
.
A full factorial design allowed the optimization of operational parameters affecting flocculation coagulation
.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s41742-022-00413-w</doi><orcidid>https://orcid.org/0000-0002-4809-1920</orcidid></addata></record> |
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source | SpringerNature Journals; Bioline International |
subjects | Coagulants Coagulation Color removal Design of experiments Design optimization Dyes Earth and Environmental Science Environment Environmental Engineering/Biotechnology Environmental Management Experimental design Factorial design Flocculation Geoecology/Natural Processes Landscape/Regional and Urban Planning Natural Hazards Optimization Parameters Physicochemical treatment Research Paper Response surface methodology |
title | Modeling and Optimization by RSM for the Removal of the Dye "Palanil blue R” by Coagulation-Flocculation Process |
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