Multi-objective optimization of ciprofloxacin antibiotic removal from an aqueous phase with grey taguchi method
Optimization methods are used to study and survey the optimal values for input factors and effect of optimized parameters on response variables. In this study, the effect of different factors on ciprofloxacin (CIP) removal of water soluble was studied. In this regard, a multi-objective optimization...
Gespeichert in:
| Veröffentlicht in: | Journal of water and health 2018-08, Vol.16 (4), p.530-541 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 541 |
|---|---|
| container_issue | 4 |
| container_start_page | 530 |
| container_title | Journal of water and health |
| container_volume | 16 |
| creator | Salari, M Rakhshandehroo, G R Nikoo, M R |
| description | Optimization methods are used to study and survey the optimal values for input factors and effect of optimized parameters on response variables. In this study, the effect of different factors on ciprofloxacin (CIP) removal of water soluble was studied. In this regard, a multi-objective optimization was performed utilizing the Taguchi method based on a grey relational analysis. Optimum levels of factors were determined to optimize three responses simultaneously with grey Taguchi. Meanwhile, grey relational analysis was applied to model and optimize three target responses, namely, CIP removal, chemical oxygen demand (COD) removal, and sludge to iron ratio. Multi-objective optimization results obtained based on grey relational analysis showed that the optimal value of the input factors were CIP concentration of 100 mg/L, H
O
concentration of 100 mM, Fe(II) concentration of 10 mM, pH of 3, and a reaction time of 15 min. To confirm the results, the values obtained through a confirmation test were examined. Multi-objective optimization results from process factors were determined by analysis of variance (ANOVA) analysis and grey Taguchi method. Based on ANOVA analysis for the grey relational grade, Fe(II) concentration and H
O
concentration were found to be the most influencing factors. |
| doi_str_mv | 10.2166/wh.2018.247 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2129517401</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2129517401</sourcerecordid><originalsourceid>FETCH-LOGICAL-c354t-270aab9cc5244fc501613798df864700e41b1f38baf22ddc85c6c9e6d9df10493</originalsourceid><addsrcrecordid>eNo9kM9LwzAYhoMobk5P3iXgUTqTNE2aowx_wcSLnkuaJmtG29Q03Zx_vRmbnr6Pj4f3e3kAuMZoTjBj99t6ThDO54TyEzDFQrCE50Scxp1ynuSCoAm4GIY1QoSRjJyDSYoQ4yRlU-DexibYxJVrrYLdaOj6YFv7I4N1HXQGKtt7Zxr3LZXtoOyCLa0LVkGvW7eRDTTetfEO5deo3TjAvpaDhlsbarjyegeDXI2qtrDVoXbVJTgzshn01XHOwOfT48fiJVm-P78uHpaJSjMaEsKRlKVQKiOUGpUhzHDKRV6ZnFGOkKa4xCbNS2kIqSqVZ4opoVklKoMRFekM3B5yY_tYbAjF2o2-iy8LgonIMKcIR-ruQCnvhsFrU_TettLvCoyKvdxiWxd7uUWUG-mbY-ZYtrr6Z_9spr9DPHbC</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2129517401</pqid></control><display><type>article</type><title>Multi-objective optimization of ciprofloxacin antibiotic removal from an aqueous phase with grey taguchi method</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Salari, M ; Rakhshandehroo, G R ; Nikoo, M R</creator><creatorcontrib>Salari, M ; Rakhshandehroo, G R ; Nikoo, M R</creatorcontrib><description>Optimization methods are used to study and survey the optimal values for input factors and effect of optimized parameters on response variables. In this study, the effect of different factors on ciprofloxacin (CIP) removal of water soluble was studied. In this regard, a multi-objective optimization was performed utilizing the Taguchi method based on a grey relational analysis. Optimum levels of factors were determined to optimize three responses simultaneously with grey Taguchi. Meanwhile, grey relational analysis was applied to model and optimize three target responses, namely, CIP removal, chemical oxygen demand (COD) removal, and sludge to iron ratio. Multi-objective optimization results obtained based on grey relational analysis showed that the optimal value of the input factors were CIP concentration of 100 mg/L, H
O
concentration of 100 mM, Fe(II) concentration of 10 mM, pH of 3, and a reaction time of 15 min. To confirm the results, the values obtained through a confirmation test were examined. Multi-objective optimization results from process factors were determined by analysis of variance (ANOVA) analysis and grey Taguchi method. Based on ANOVA analysis for the grey relational grade, Fe(II) concentration and H
O
concentration were found to be the most influencing factors.</description><identifier>ISSN: 1477-8920</identifier><identifier>EISSN: 1996-7829</identifier><identifier>DOI: 10.2166/wh.2018.247</identifier><identifier>PMID: 30067236</identifier><language>eng</language><publisher>England: IWA Publishing</publisher><subject>Anti-Bacterial Agents - chemistry ; Antibiotics ; Aqueous solutions ; Carbon ; Chemical oxygen demand ; Ciprofloxacin ; Ciprofloxacin - chemistry ; Drinking water ; Engineering ; Experiments ; Hydrogen peroxide ; Iron ; Journal bearings ; Mineralization ; Multiple objective analysis ; Optimization ; Organic chemistry ; Pharmaceutical industry ; Quality ; Reaction time ; Removal ; Researchers ; Sludge ; Surveying ; Taguchi methods ; Variance analysis ; Water - chemistry ; Water Pollutants, Chemical - chemistry ; Water Purification - methods</subject><ispartof>Journal of water and health, 2018-08, Vol.16 (4), p.530-541</ispartof><rights>Copyright IWA Publishing Aug 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c354t-270aab9cc5244fc501613798df864700e41b1f38baf22ddc85c6c9e6d9df10493</citedby><cites>FETCH-LOGICAL-c354t-270aab9cc5244fc501613798df864700e41b1f38baf22ddc85c6c9e6d9df10493</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30067236$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Salari, M</creatorcontrib><creatorcontrib>Rakhshandehroo, G R</creatorcontrib><creatorcontrib>Nikoo, M R</creatorcontrib><title>Multi-objective optimization of ciprofloxacin antibiotic removal from an aqueous phase with grey taguchi method</title><title>Journal of water and health</title><addtitle>J Water Health</addtitle><description>Optimization methods are used to study and survey the optimal values for input factors and effect of optimized parameters on response variables. In this study, the effect of different factors on ciprofloxacin (CIP) removal of water soluble was studied. In this regard, a multi-objective optimization was performed utilizing the Taguchi method based on a grey relational analysis. Optimum levels of factors were determined to optimize three responses simultaneously with grey Taguchi. Meanwhile, grey relational analysis was applied to model and optimize three target responses, namely, CIP removal, chemical oxygen demand (COD) removal, and sludge to iron ratio. Multi-objective optimization results obtained based on grey relational analysis showed that the optimal value of the input factors were CIP concentration of 100 mg/L, H
O
concentration of 100 mM, Fe(II) concentration of 10 mM, pH of 3, and a reaction time of 15 min. To confirm the results, the values obtained through a confirmation test were examined. Multi-objective optimization results from process factors were determined by analysis of variance (ANOVA) analysis and grey Taguchi method. Based on ANOVA analysis for the grey relational grade, Fe(II) concentration and H
O
concentration were found to be the most influencing factors.</description><subject>Anti-Bacterial Agents - chemistry</subject><subject>Antibiotics</subject><subject>Aqueous solutions</subject><subject>Carbon</subject><subject>Chemical oxygen demand</subject><subject>Ciprofloxacin</subject><subject>Ciprofloxacin - chemistry</subject><subject>Drinking water</subject><subject>Engineering</subject><subject>Experiments</subject><subject>Hydrogen peroxide</subject><subject>Iron</subject><subject>Journal bearings</subject><subject>Mineralization</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Organic chemistry</subject><subject>Pharmaceutical industry</subject><subject>Quality</subject><subject>Reaction time</subject><subject>Removal</subject><subject>Researchers</subject><subject>Sludge</subject><subject>Surveying</subject><subject>Taguchi methods</subject><subject>Variance analysis</subject><subject>Water - chemistry</subject><subject>Water Pollutants, Chemical - chemistry</subject><subject>Water Purification - methods</subject><issn>1477-8920</issn><issn>1996-7829</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9kM9LwzAYhoMobk5P3iXgUTqTNE2aowx_wcSLnkuaJmtG29Q03Zx_vRmbnr6Pj4f3e3kAuMZoTjBj99t6ThDO54TyEzDFQrCE50Scxp1ynuSCoAm4GIY1QoSRjJyDSYoQ4yRlU-DexibYxJVrrYLdaOj6YFv7I4N1HXQGKtt7Zxr3LZXtoOyCLa0LVkGvW7eRDTTetfEO5deo3TjAvpaDhlsbarjyegeDXI2qtrDVoXbVJTgzshn01XHOwOfT48fiJVm-P78uHpaJSjMaEsKRlKVQKiOUGpUhzHDKRV6ZnFGOkKa4xCbNS2kIqSqVZ4opoVklKoMRFekM3B5yY_tYbAjF2o2-iy8LgonIMKcIR-ruQCnvhsFrU_TettLvCoyKvdxiWxd7uUWUG-mbY-ZYtrr6Z_9spr9DPHbC</recordid><startdate>201808</startdate><enddate>201808</enddate><creator>Salari, M</creator><creator>Rakhshandehroo, G R</creator><creator>Nikoo, M R</creator><general>IWA Publishing</general><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>3V.</scope><scope>7QH</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>M0S</scope><scope>M1P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope></search><sort><creationdate>201808</creationdate><title>Multi-objective optimization of ciprofloxacin antibiotic removal from an aqueous phase with grey taguchi method</title><author>Salari, M ; Rakhshandehroo, G R ; Nikoo, M R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c354t-270aab9cc5244fc501613798df864700e41b1f38baf22ddc85c6c9e6d9df10493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Anti-Bacterial Agents - chemistry</topic><topic>Antibiotics</topic><topic>Aqueous solutions</topic><topic>Carbon</topic><topic>Chemical oxygen demand</topic><topic>Ciprofloxacin</topic><topic>Ciprofloxacin - chemistry</topic><topic>Drinking water</topic><topic>Engineering</topic><topic>Experiments</topic><topic>Hydrogen peroxide</topic><topic>Iron</topic><topic>Journal bearings</topic><topic>Mineralization</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Organic chemistry</topic><topic>Pharmaceutical industry</topic><topic>Quality</topic><topic>Reaction time</topic><topic>Removal</topic><topic>Researchers</topic><topic>Sludge</topic><topic>Surveying</topic><topic>Taguchi methods</topic><topic>Variance analysis</topic><topic>Water - chemistry</topic><topic>Water Pollutants, Chemical - chemistry</topic><topic>Water Purification - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Salari, M</creatorcontrib><creatorcontrib>Rakhshandehroo, G R</creatorcontrib><creatorcontrib>Nikoo, M R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic 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><collection>Environmental Science Collection</collection><jtitle>Journal of water and health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Salari, M</au><au>Rakhshandehroo, G R</au><au>Nikoo, M R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-objective optimization of ciprofloxacin antibiotic removal from an aqueous phase with grey taguchi method</atitle><jtitle>Journal of water and health</jtitle><addtitle>J Water Health</addtitle><date>2018-08</date><risdate>2018</risdate><volume>16</volume><issue>4</issue><spage>530</spage><epage>541</epage><pages>530-541</pages><issn>1477-8920</issn><eissn>1996-7829</eissn><abstract>Optimization methods are used to study and survey the optimal values for input factors and effect of optimized parameters on response variables. In this study, the effect of different factors on ciprofloxacin (CIP) removal of water soluble was studied. In this regard, a multi-objective optimization was performed utilizing the Taguchi method based on a grey relational analysis. Optimum levels of factors were determined to optimize three responses simultaneously with grey Taguchi. Meanwhile, grey relational analysis was applied to model and optimize three target responses, namely, CIP removal, chemical oxygen demand (COD) removal, and sludge to iron ratio. Multi-objective optimization results obtained based on grey relational analysis showed that the optimal value of the input factors were CIP concentration of 100 mg/L, H
O
concentration of 100 mM, Fe(II) concentration of 10 mM, pH of 3, and a reaction time of 15 min. To confirm the results, the values obtained through a confirmation test were examined. Multi-objective optimization results from process factors were determined by analysis of variance (ANOVA) analysis and grey Taguchi method. Based on ANOVA analysis for the grey relational grade, Fe(II) concentration and H
O
concentration were found to be the most influencing factors.</abstract><cop>England</cop><pub>IWA Publishing</pub><pmid>30067236</pmid><doi>10.2166/wh.2018.247</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1477-8920 |
| ispartof | Journal of water and health, 2018-08, Vol.16 (4), p.530-541 |
| issn | 1477-8920 1996-7829 |
| language | eng |
| recordid | cdi_proquest_journals_2129517401 |
| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Anti-Bacterial Agents - chemistry Antibiotics Aqueous solutions Carbon Chemical oxygen demand Ciprofloxacin Ciprofloxacin - chemistry Drinking water Engineering Experiments Hydrogen peroxide Iron Journal bearings Mineralization Multiple objective analysis Optimization Organic chemistry Pharmaceutical industry Quality Reaction time Removal Researchers Sludge Surveying Taguchi methods Variance analysis Water - chemistry Water Pollutants, Chemical - chemistry Water Purification - methods |
| title | Multi-objective optimization of ciprofloxacin antibiotic removal from an aqueous phase with grey taguchi method |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T23%3A49%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multi-objective%20optimization%20of%20ciprofloxacin%20antibiotic%20removal%20from%20an%20aqueous%20phase%20with%20grey%20taguchi%20method&rft.jtitle=Journal%20of%20water%20and%20health&rft.au=Salari,%20M&rft.date=2018-08&rft.volume=16&rft.issue=4&rft.spage=530&rft.epage=541&rft.pages=530-541&rft.issn=1477-8920&rft.eissn=1996-7829&rft_id=info:doi/10.2166/wh.2018.247&rft_dat=%3Cproquest_cross%3E2129517401%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2129517401&rft_id=info:pmid/30067236&rfr_iscdi=true |