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Response surface methodology (RSM) modeling to improve removal of ciprofloxacin from aqueous solutions in photocatalytic process using copper oxide nanoparticles (CuO/UV)
Ciprofloxacin (CIP) antibiotic is considered as an emerging and biological resistant pollutant. This study aimed to improve of the removal of CIP from synthetic aqueous solutions in photocatalytic process through copper oxide nanoparticles as catalyst (CuO/UV). The effect of CIP concentration (10–20...
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Published in: | AMB Express 2018-03, Vol.8 (1), p.48-9, Article 48 |
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description | Ciprofloxacin (CIP) antibiotic is considered as an emerging and biological resistant pollutant. This study aimed to improve of the removal of CIP from synthetic aqueous solutions in photocatalytic process through copper oxide nanoparticles as catalyst (CuO/UV). The effect of CIP concentration (10–200 mg/l), catalyst dosage included CuO (0.01–0.1 g/l) and pH (3–11) as independent variables on the COD removal efficiency as response in photocatalytic process using UV-C lamps with three different powers of 8, 15 and 30-W were optimized through the central composite design in response surface method using design-expert software. A second order model was selected as the best model with R
2
values and lack of fit as 0.85 and 0.06 for lamp 8-W, 0.89 and 0.11 for lamp 15-W, and 0.86 and 0.19 for lamp 30-W, respectively. Optimum conditions were obtained in CIP concentration of 11.2 (mg/l), CuO dosage of 0.08 (g/l), and pH value of 8.17. In this condition, predicted maximum COD removal was respectively found 83.79, 93.18, and 98.90% for lamps 8, 15 and 30-W. According to the results, photocatalytic process using copper oxide nanoparticles can effectively compose CIP in aqueous solutions. |
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2
values and lack of fit as 0.85 and 0.06 for lamp 8-W, 0.89 and 0.11 for lamp 15-W, and 0.86 and 0.19 for lamp 30-W, respectively. Optimum conditions were obtained in CIP concentration of 11.2 (mg/l), CuO dosage of 0.08 (g/l), and pH value of 8.17. In this condition, predicted maximum COD removal was respectively found 83.79, 93.18, and 98.90% for lamps 8, 15 and 30-W. According to the results, photocatalytic process using copper oxide nanoparticles can effectively compose CIP in aqueous solutions.</description><identifier>ISSN: 2191-0855</identifier><identifier>EISSN: 2191-0855</identifier><identifier>DOI: 10.1186/s13568-018-0579-2</identifier><identifier>PMID: 29594834</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Advanced oxidation processes (AOPs) ; Antibiotics ; Aqueous solutions ; Biomedical and Life Sciences ; Biotechnology ; Catalysis ; Catalysts ; Central composite design ; Ciprofloxacin ; Copper ; Copper oxide nanoparticles ; Copper oxides ; Design optimization ; Dosage ; Emerging pollutants ; Independent variables ; Lamps ; Life Sciences ; Mathematical models ; Microbial Genetics and Genomics ; Microbiology ; Nanoparticles ; Original ; Original Article ; pH effects ; Response surface methodology</subject><ispartof>AMB Express, 2018-03, Vol.8 (1), p.48-9, Article 48</ispartof><rights>The Author(s) 2018</rights><rights>AMB Express is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c536t-974dc439ef6036a7dd0ad6c62afa1c09a6487f55f692a2741cdd8fb04505e56a3</citedby><cites>FETCH-LOGICAL-c536t-974dc439ef6036a7dd0ad6c62afa1c09a6487f55f692a2741cdd8fb04505e56a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2019270063/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2019270063?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29594834$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Khoshnamvand, Nahid</creatorcontrib><creatorcontrib>Kord Mostafapour, Ferdos</creatorcontrib><creatorcontrib>Mohammadi, Amir</creatorcontrib><creatorcontrib>Faraji, Maryam</creatorcontrib><title>Response surface methodology (RSM) modeling to improve removal of ciprofloxacin from aqueous solutions in photocatalytic process using copper oxide nanoparticles (CuO/UV)</title><title>AMB Express</title><addtitle>AMB Expr</addtitle><addtitle>AMB Express</addtitle><description>Ciprofloxacin (CIP) antibiotic is considered as an emerging and biological resistant pollutant. This study aimed to improve of the removal of CIP from synthetic aqueous solutions in photocatalytic process through copper oxide nanoparticles as catalyst (CuO/UV). The effect of CIP concentration (10–200 mg/l), catalyst dosage included CuO (0.01–0.1 g/l) and pH (3–11) as independent variables on the COD removal efficiency as response in photocatalytic process using UV-C lamps with three different powers of 8, 15 and 30-W were optimized through the central composite design in response surface method using design-expert software. A second order model was selected as the best model with R
2
values and lack of fit as 0.85 and 0.06 for lamp 8-W, 0.89 and 0.11 for lamp 15-W, and 0.86 and 0.19 for lamp 30-W, respectively. Optimum conditions were obtained in CIP concentration of 11.2 (mg/l), CuO dosage of 0.08 (g/l), and pH value of 8.17. In this condition, predicted maximum COD removal was respectively found 83.79, 93.18, and 98.90% for lamps 8, 15 and 30-W. According to the results, photocatalytic process using copper oxide nanoparticles can effectively compose CIP in aqueous solutions.</description><subject>Advanced oxidation processes (AOPs)</subject><subject>Antibiotics</subject><subject>Aqueous solutions</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Catalysis</subject><subject>Catalysts</subject><subject>Central composite design</subject><subject>Ciprofloxacin</subject><subject>Copper</subject><subject>Copper oxide nanoparticles</subject><subject>Copper oxides</subject><subject>Design optimization</subject><subject>Dosage</subject><subject>Emerging pollutants</subject><subject>Independent variables</subject><subject>Lamps</subject><subject>Life Sciences</subject><subject>Mathematical models</subject><subject>Microbial Genetics and Genomics</subject><subject>Microbiology</subject><subject>Nanoparticles</subject><subject>Original</subject><subject>Original Article</subject><subject>pH effects</subject><subject>Response surface methodology</subject><issn>2191-0855</issn><issn>2191-0855</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1ks9q3DAQxk1paUKaB-ilCHrZHLaRZEu2L4Wy9E8gJZA2vYqJNNr1YntcyV6yr9SnrDa7TZNCBUJi5pufRsOXZa8FfydEpc-jyJWu5lykrcp6Lp9lx1LUYs4rpZ4_uh9lpzGueVqK81qrl9mRrFVdVHlxnP26xjhQH5HFKXiwyDocV-SopeWWza6_fT1jHTlsm37JRmJNNwTaIAvY0QZaRp7ZJoV8S3dgm575QB2DnxPSFFmkdhqbhGcpM6xoJAsjtNuxsSwVWYyRTXGHtjQMGBjdNQ5ZDz0NEJKqxchmi-nq_ObH2avshYc24unhPMluPn38vvgyv7z6fLH4cDm3KtfjvC4LZ4u8Rq95rqF0joPTVkvwICyvQRdV6ZXyupYgy0JY5yp_ywvFFSoN-Ul2sec6grUZQtNB2BqCxtwHKCzNoTeD4BBF6YXgRWErV2npLNfgtXY5Fzax3u9Zw3TbobPYjwHaJ9Cnmb5ZmSVtjKrKQkqdALMDIFAaahxN10SLbQv9bsJGclFXggu9k779R7qmKfRpVPcqWXKu86QSe5UNFGNA_9CM4GZnLLM3lknGMjtjGZlq3jz-xUPFHxslgdwLYkr1Swx_n_4_9TfP_t1J</recordid><startdate>20180328</startdate><enddate>20180328</enddate><creator>Khoshnamvand, Nahid</creator><creator>Kord Mostafapour, Ferdos</creator><creator>Mohammadi, Amir</creator><creator>Faraji, Maryam</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>LK8</scope><scope>M7P</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20180328</creationdate><title>Response surface methodology (RSM) modeling to improve removal of ciprofloxacin from aqueous solutions in photocatalytic process using copper oxide nanoparticles (CuO/UV)</title><author>Khoshnamvand, Nahid ; Kord Mostafapour, Ferdos ; Mohammadi, Amir ; Faraji, Maryam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c536t-974dc439ef6036a7dd0ad6c62afa1c09a6487f55f692a2741cdd8fb04505e56a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Advanced oxidation processes (AOPs)</topic><topic>Antibiotics</topic><topic>Aqueous solutions</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Catalysis</topic><topic>Catalysts</topic><topic>Central composite design</topic><topic>Ciprofloxacin</topic><topic>Copper</topic><topic>Copper oxide nanoparticles</topic><topic>Copper oxides</topic><topic>Design optimization</topic><topic>Dosage</topic><topic>Emerging pollutants</topic><topic>Independent variables</topic><topic>Lamps</topic><topic>Life Sciences</topic><topic>Mathematical models</topic><topic>Microbial Genetics and Genomics</topic><topic>Microbiology</topic><topic>Nanoparticles</topic><topic>Original</topic><topic>Original Article</topic><topic>pH effects</topic><topic>Response surface methodology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khoshnamvand, Nahid</creatorcontrib><creatorcontrib>Kord Mostafapour, Ferdos</creatorcontrib><creatorcontrib>Mohammadi, Amir</creatorcontrib><creatorcontrib>Faraji, Maryam</creatorcontrib><collection>SpringerOpen</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>AMB Express</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khoshnamvand, Nahid</au><au>Kord Mostafapour, Ferdos</au><au>Mohammadi, Amir</au><au>Faraji, Maryam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Response surface methodology (RSM) modeling to improve removal of ciprofloxacin from aqueous solutions in photocatalytic process using copper oxide nanoparticles (CuO/UV)</atitle><jtitle>AMB Express</jtitle><stitle>AMB Expr</stitle><addtitle>AMB Express</addtitle><date>2018-03-28</date><risdate>2018</risdate><volume>8</volume><issue>1</issue><spage>48</spage><epage>9</epage><pages>48-9</pages><artnum>48</artnum><issn>2191-0855</issn><eissn>2191-0855</eissn><abstract>Ciprofloxacin (CIP) antibiotic is considered as an emerging and biological resistant pollutant. This study aimed to improve of the removal of CIP from synthetic aqueous solutions in photocatalytic process through copper oxide nanoparticles as catalyst (CuO/UV). The effect of CIP concentration (10–200 mg/l), catalyst dosage included CuO (0.01–0.1 g/l) and pH (3–11) as independent variables on the COD removal efficiency as response in photocatalytic process using UV-C lamps with three different powers of 8, 15 and 30-W were optimized through the central composite design in response surface method using design-expert software. A second order model was selected as the best model with R
2
values and lack of fit as 0.85 and 0.06 for lamp 8-W, 0.89 and 0.11 for lamp 15-W, and 0.86 and 0.19 for lamp 30-W, respectively. Optimum conditions were obtained in CIP concentration of 11.2 (mg/l), CuO dosage of 0.08 (g/l), and pH value of 8.17. In this condition, predicted maximum COD removal was respectively found 83.79, 93.18, and 98.90% for lamps 8, 15 and 30-W. According to the results, photocatalytic process using copper oxide nanoparticles can effectively compose CIP in aqueous solutions.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29594834</pmid><doi>10.1186/s13568-018-0579-2</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Advanced oxidation processes (AOPs) Antibiotics Aqueous solutions Biomedical and Life Sciences Biotechnology Catalysis Catalysts Central composite design Ciprofloxacin Copper Copper oxide nanoparticles Copper oxides Design optimization Dosage Emerging pollutants Independent variables Lamps Life Sciences Mathematical models Microbial Genetics and Genomics Microbiology Nanoparticles Original Original Article pH effects Response surface methodology |
title | Response surface methodology (RSM) modeling to improve removal of ciprofloxacin from aqueous solutions in photocatalytic process using copper oxide nanoparticles (CuO/UV) |
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