Loading…
Optimization of As(III) removal in hard water by electrocoagulation using central composite design with response surface methodology
Central composite design with response surface methodology was applied to optimize the main experimental parameters such as current, time, As(III) concentration, and hardness for arsenic (III) removal in hard water by the electrocoagulation process. The main aim was to find the optimum process param...
Saved in:
Published in: | Desalination and water treatment 2016-12, Vol.57 (57), p.27827-27833 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c403t-9e9ff40b4303dfc56db43057bde0782c0570950fd3edbd25f937e865b44bcc903 |
---|---|
cites | cdi_FETCH-LOGICAL-c403t-9e9ff40b4303dfc56db43057bde0782c0570950fd3edbd25f937e865b44bcc903 |
container_end_page | 27833 |
container_issue | 57 |
container_start_page | 27827 |
container_title | Desalination and water treatment |
container_volume | 57 |
creator | Yaghmaeian, Kamyar Silva Martinez, Susana Hoseini, Mohammad Amiri, Hoda |
description | Central composite design with response surface methodology was applied to optimize the main experimental parameters such as current, time, As(III) concentration, and hardness for arsenic (III) removal in hard water by the electrocoagulation process. The main aim was to find the optimum process parameters to maximize arsenic removal from the mathematical model equations developed in this study using R software. By variance and regression analysis, the linear regression equation was established as a predicted model. The R2 of 0.93 indicated that the equation was well fitted. The optimum condition of 99% of As(III) removal for current (A), time (min), As(III) concentration (ppb), and hardness (mg/L as CaCO3) is 0.07, 37, 274, and 324, respectively. ANOVA analysis shows no significant difference between the observed and predicted values (p-value > 0.05) which shows good fit to the model. |
doi_str_mv | 10.1080/19443994.2016.1177735 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1904251422</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1944398624035689</els_id><sourcerecordid>1904251422</sourcerecordid><originalsourceid>FETCH-LOGICAL-c403t-9e9ff40b4303dfc56db43057bde0782c0570950fd3edbd25f937e865b44bcc903</originalsourceid><addsrcrecordid>eNqNkc1q3DAUhU1pICHNIwQE3aSLmep3bK1KCG0zEMimWQtZuppRsCVXkhMm6z54ZSaB0k17N_cgzjlw9TXNJcFrgjv8mUjOmZR8TTHZrAlp25aJd83Z8r5istu8_0OfNhc5P-I6greC07Pm1_1U_OhfdPExoOjQdb7abrefUIIxPukB-YD2Oln0rAsk1B8QDGBKiibq3TwcY3P2YYcMhJJqwsRxitkXQBay3wX07Mu-9uUphgwoz8lpA2iEso82DnF3-NCcOD1kuHjd583Dt68_bm5Xd_fftzfXdyvDMSsrCdI5jnvOMLPOiI1dpGh7C7jtqKkSS4GdZWB7S4WTrIVuI3rOe2MkZufN1bF3SvHnDLmo0WcDw6ADxDkrIjGngnBK_8dKWiGoWKwf_7I-xjmFeogiHaOMME5EdYmjy6SYcwKnpuRHnQ6KYLWQVG8k1UJSvZKsuS_HHNSPefKQVDYeggHrUwWhbPT_aPgNoW-ltQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1832313415</pqid></control><display><type>article</type><title>Optimization of As(III) removal in hard water by electrocoagulation using central composite design with response surface methodology</title><source>Elsevier ScienceDirect Journals</source><creator>Yaghmaeian, Kamyar ; Silva Martinez, Susana ; Hoseini, Mohammad ; Amiri, Hoda</creator><creatorcontrib>Yaghmaeian, Kamyar ; Silva Martinez, Susana ; Hoseini, Mohammad ; Amiri, Hoda</creatorcontrib><description>Central composite design with response surface methodology was applied to optimize the main experimental parameters such as current, time, As(III) concentration, and hardness for arsenic (III) removal in hard water by the electrocoagulation process. The main aim was to find the optimum process parameters to maximize arsenic removal from the mathematical model equations developed in this study using R software. By variance and regression analysis, the linear regression equation was established as a predicted model. The R2 of 0.93 indicated that the equation was well fitted. The optimum condition of 99% of As(III) removal for current (A), time (min), As(III) concentration (ppb), and hardness (mg/L as CaCO3) is 0.07, 37, 274, and 324, respectively. ANOVA analysis shows no significant difference between the observed and predicted values (p-value > 0.05) which shows good fit to the model.</description><identifier>ISSN: 1944-3986</identifier><identifier>ISSN: 1944-3994</identifier><identifier>EISSN: 1944-3986</identifier><identifier>DOI: 10.1080/19443994.2016.1177735</identifier><language>eng</language><publisher>Abingdon: Elsevier Inc</publisher><subject>Analysis of variance ; Arsenic ; As(III) ; Central composite design ; Electrocoagulation ; Hardness ; Mathematical analysis ; Mathematical models ; Optimization ; Pollutant removal ; Regression analysis ; Response surface methodology ; Variance analysis ; Water hardness</subject><ispartof>Desalination and water treatment, 2016-12, Vol.57 (57), p.27827-27833</ispartof><rights>2016 Elsevier Inc.</rights><rights>2016 Balaban Desalination Publications. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-9e9ff40b4303dfc56db43057bde0782c0570950fd3edbd25f937e865b44bcc903</citedby><cites>FETCH-LOGICAL-c403t-9e9ff40b4303dfc56db43057bde0782c0570950fd3edbd25f937e865b44bcc903</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1944398624035689$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3549,27924,27925,45780</link.rule.ids></links><search><creatorcontrib>Yaghmaeian, Kamyar</creatorcontrib><creatorcontrib>Silva Martinez, Susana</creatorcontrib><creatorcontrib>Hoseini, Mohammad</creatorcontrib><creatorcontrib>Amiri, Hoda</creatorcontrib><title>Optimization of As(III) removal in hard water by electrocoagulation using central composite design with response surface methodology</title><title>Desalination and water treatment</title><description>Central composite design with response surface methodology was applied to optimize the main experimental parameters such as current, time, As(III) concentration, and hardness for arsenic (III) removal in hard water by the electrocoagulation process. The main aim was to find the optimum process parameters to maximize arsenic removal from the mathematical model equations developed in this study using R software. By variance and regression analysis, the linear regression equation was established as a predicted model. The R2 of 0.93 indicated that the equation was well fitted. The optimum condition of 99% of As(III) removal for current (A), time (min), As(III) concentration (ppb), and hardness (mg/L as CaCO3) is 0.07, 37, 274, and 324, respectively. ANOVA analysis shows no significant difference between the observed and predicted values (p-value > 0.05) which shows good fit to the model.</description><subject>Analysis of variance</subject><subject>Arsenic</subject><subject>As(III)</subject><subject>Central composite design</subject><subject>Electrocoagulation</subject><subject>Hardness</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Pollutant removal</subject><subject>Regression analysis</subject><subject>Response surface methodology</subject><subject>Variance analysis</subject><subject>Water hardness</subject><issn>1944-3986</issn><issn>1944-3994</issn><issn>1944-3986</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNkc1q3DAUhU1pICHNIwQE3aSLmep3bK1KCG0zEMimWQtZuppRsCVXkhMm6z54ZSaB0k17N_cgzjlw9TXNJcFrgjv8mUjOmZR8TTHZrAlp25aJd83Z8r5istu8_0OfNhc5P-I6greC07Pm1_1U_OhfdPExoOjQdb7abrefUIIxPukB-YD2Oln0rAsk1B8QDGBKiibq3TwcY3P2YYcMhJJqwsRxitkXQBay3wX07Mu-9uUphgwoz8lpA2iEso82DnF3-NCcOD1kuHjd583Dt68_bm5Xd_fftzfXdyvDMSsrCdI5jnvOMLPOiI1dpGh7C7jtqKkSS4GdZWB7S4WTrIVuI3rOe2MkZufN1bF3SvHnDLmo0WcDw6ADxDkrIjGngnBK_8dKWiGoWKwf_7I-xjmFeogiHaOMME5EdYmjy6SYcwKnpuRHnQ6KYLWQVG8k1UJSvZKsuS_HHNSPefKQVDYeggHrUwWhbPT_aPgNoW-ltQ</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Yaghmaeian, Kamyar</creator><creator>Silva Martinez, Susana</creator><creator>Hoseini, Mohammad</creator><creator>Amiri, Hoda</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>H97</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>20161201</creationdate><title>Optimization of As(III) removal in hard water by electrocoagulation using central composite design with response surface methodology</title><author>Yaghmaeian, Kamyar ; Silva Martinez, Susana ; Hoseini, Mohammad ; Amiri, Hoda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-9e9ff40b4303dfc56db43057bde0782c0570950fd3edbd25f937e865b44bcc903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Analysis of variance</topic><topic>Arsenic</topic><topic>As(III)</topic><topic>Central composite design</topic><topic>Electrocoagulation</topic><topic>Hardness</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Pollutant removal</topic><topic>Regression analysis</topic><topic>Response surface methodology</topic><topic>Variance analysis</topic><topic>Water hardness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yaghmaeian, Kamyar</creatorcontrib><creatorcontrib>Silva Martinez, Susana</creatorcontrib><creatorcontrib>Hoseini, Mohammad</creatorcontrib><creatorcontrib>Amiri, Hoda</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Desalination and water treatment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yaghmaeian, Kamyar</au><au>Silva Martinez, Susana</au><au>Hoseini, Mohammad</au><au>Amiri, Hoda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of As(III) removal in hard water by electrocoagulation using central composite design with response surface methodology</atitle><jtitle>Desalination and water treatment</jtitle><date>2016-12-01</date><risdate>2016</risdate><volume>57</volume><issue>57</issue><spage>27827</spage><epage>27833</epage><pages>27827-27833</pages><issn>1944-3986</issn><issn>1944-3994</issn><eissn>1944-3986</eissn><abstract>Central composite design with response surface methodology was applied to optimize the main experimental parameters such as current, time, As(III) concentration, and hardness for arsenic (III) removal in hard water by the electrocoagulation process. The main aim was to find the optimum process parameters to maximize arsenic removal from the mathematical model equations developed in this study using R software. By variance and regression analysis, the linear regression equation was established as a predicted model. The R2 of 0.93 indicated that the equation was well fitted. The optimum condition of 99% of As(III) removal for current (A), time (min), As(III) concentration (ppb), and hardness (mg/L as CaCO3) is 0.07, 37, 274, and 324, respectively. ANOVA analysis shows no significant difference between the observed and predicted values (p-value > 0.05) which shows good fit to the model.</abstract><cop>Abingdon</cop><pub>Elsevier Inc</pub><doi>10.1080/19443994.2016.1177735</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1944-3986 |
ispartof | Desalination and water treatment, 2016-12, Vol.57 (57), p.27827-27833 |
issn | 1944-3986 1944-3994 1944-3986 |
language | eng |
recordid | cdi_proquest_miscellaneous_1904251422 |
source | Elsevier ScienceDirect Journals |
subjects | Analysis of variance Arsenic As(III) Central composite design Electrocoagulation Hardness Mathematical analysis Mathematical models Optimization Pollutant removal Regression analysis Response surface methodology Variance analysis Water hardness |
title | Optimization of As(III) removal in hard water by electrocoagulation using central composite design with response surface methodology |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T22%3A14%3A51IST&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=Optimization%20of%20As(III)%20removal%20in%20hard%20water%20by%20electrocoagulation%20using%20central%20composite%20design%20with%20response%20surface%20methodology&rft.jtitle=Desalination%20and%20water%20treatment&rft.au=Yaghmaeian,%20Kamyar&rft.date=2016-12-01&rft.volume=57&rft.issue=57&rft.spage=27827&rft.epage=27833&rft.pages=27827-27833&rft.issn=1944-3986&rft.eissn=1944-3986&rft_id=info:doi/10.1080/19443994.2016.1177735&rft_dat=%3Cproquest_cross%3E1904251422%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c403t-9e9ff40b4303dfc56db43057bde0782c0570950fd3edbd25f937e865b44bcc903%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1832313415&rft_id=info:pmid/&rfr_iscdi=true |