Remediation of carcinogenic PAHs from landfill leachate by Electro-Fenton process – Optimization and modeling
PAHs is the group of emerging micro-pollutants present in most environmental matrices that has the tendency to bioaccumulate and cause carcinogenic effects to human health. The present research involved the quantification and treatment of leachate produced from secured landfill, to eliminate the PAH...
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| Veröffentlicht in: | Chemosphere (Oxford) 2024-07, Vol.359, p.142248-142248, Article 142248 |
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| container_title | Chemosphere (Oxford) |
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| creator | Singa, Pradeep Kumar Rajamohan, Natarajan Isa, Mohamed Hasnain Azner Abidin, Che Zulzikrami Ibrahim, Abdul Haqi |
| description | PAHs is the group of emerging micro-pollutants present in most environmental matrices that has the tendency to bioaccumulate and cause carcinogenic effects to human health. The present research involved the quantification and treatment of leachate produced from secured landfill, to eliminate the PAHS. Electro-Fenton process, a class of advanced oxidation process, is adopted to degrade the PAHs using titanium electrodes as both anode and cathode. Artificial intelligence based statistical tool “Central Composite Design” a module of JMP -19 software was used to design the experiments and optimize the critical parameters involved in the research. It was observed that the value of P is significant (P |
| doi_str_mv | 10.1016/j.chemosphere.2024.142248 |
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[Display omitted]
•Electro Fenton method was used to remove PAHs.•Artificial intelligence based optimization is applied for leachate treatment.•The removal efficiency of COD and PAH were found to be 84.24% and 86.05%.•Removal efficiency of 16 individual PAHs are determined.</description><identifier>ISSN: 0045-6535</identifier><identifier>EISSN: 1879-1298</identifier><identifier>DOI: 10.1016/j.chemosphere.2024.142248</identifier><identifier>PMID: 38710412</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Artificial intelligence ; Central composite design ; Electro-Fenton ; Polycyclic aromatic hydrocarbons ; Statistical analysis</subject><ispartof>Chemosphere (Oxford), 2024-07, Vol.359, p.142248-142248, Article 142248</ispartof><rights>2024 Elsevier Ltd</rights><rights>Copyright © 2024. Published by Elsevier Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c236t-5a534c3c21b444f8f08cd56b67fa612e2b017f1338a1965234fbdd9f1da16d9e3</cites><orcidid>0000-0002-5015-0694</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.chemosphere.2024.142248$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38710412$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Singa, Pradeep Kumar</creatorcontrib><creatorcontrib>Rajamohan, Natarajan</creatorcontrib><creatorcontrib>Isa, Mohamed Hasnain</creatorcontrib><creatorcontrib>Azner Abidin, Che Zulzikrami</creatorcontrib><creatorcontrib>Ibrahim, Abdul Haqi</creatorcontrib><title>Remediation of carcinogenic PAHs from landfill leachate by Electro-Fenton process – Optimization and modeling</title><title>Chemosphere (Oxford)</title><addtitle>Chemosphere</addtitle><description>PAHs is the group of emerging micro-pollutants present in most environmental matrices that has the tendency to bioaccumulate and cause carcinogenic effects to human health. The present research involved the quantification and treatment of leachate produced from secured landfill, to eliminate the PAHS. Electro-Fenton process, a class of advanced oxidation process, is adopted to degrade the PAHs using titanium electrodes as both anode and cathode. Artificial intelligence based statistical tool “Central Composite Design” a module of JMP -19 software was used to design the experiments and optimize the critical parameters involved in the research. It was observed that the value of P is significant (P < 0.05) for all the independent variables evidencing the significant correlation between experimental values and predicted values of the software. The value of R2 obtained was 0.96 and 0.97 for COD and PAHs respectively. The maximum removal efficiency of COD and PAH was found to be 84.24% and 90.78% respectively. The optimized conditions obtained from the central composite design were: pH = 5; Fe2+ = 0.1 g/L; H2O2 = 2 g/L; reaction time = 60 min; and electric intensity = 0.2 A. Additionally, optimized experimental conditions were used to study the removal efficiencies of individual 16 PAHs and are also reported. From the close proximity of experimental and predicted results of the software it can be proved that central composite design is efficient enough to be used as a statistical tool in design and analysis for treatment of landfill leachate.
[Display omitted]
•Electro Fenton method was used to remove PAHs.•Artificial intelligence based optimization is applied for leachate treatment.•The removal efficiency of COD and PAH were found to be 84.24% and 86.05%.•Removal efficiency of 16 individual PAHs are determined.</description><subject>Artificial intelligence</subject><subject>Central composite design</subject><subject>Electro-Fenton</subject><subject>Polycyclic aromatic hydrocarbons</subject><subject>Statistical analysis</subject><issn>0045-6535</issn><issn>1879-1298</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqNkMtOHDEQRa2IKExIfgGZHZueuPzo6V6iEY9ISEQRrC23XWY86m4Pdk8ksso_8Id8CUYNUZZZ1eaeW1WHkBNgS2BQf9su7QaHmHcbTLjkjMslSM5l84EsoFm1FfC2OSALxqSqaiXUIfmc85axAqv2EzkUzQqYBL4g8ScO6IKZQhxp9NSaZMMY73EMlv44u8rUpzjQ3ozOh76nPRq7MRPS7pGe92inFKsLHKdC71K0mDN9_vNEb3ZTGMLvubawdIgO-zDefyEfvekzfn2bR-Tu4vx2fVVd31x-X59dV5aLeqqUUUJaYTl0UkrfeNZYp-quXnlTA0feMVh5EKIx0NaKC-k751oPzkDtWhRH5HTuLVc97DFPegjZYl8ewbjPWjAFbdEgZIm2c9SmmHNCr3cpDCY9amD61bfe6n9861ffevZd2OO3NfuuePxLvgsugfUcwPLsr4BJZxtwtMV5Kva0i-E_1rwA69iZWw</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Singa, Pradeep Kumar</creator><creator>Rajamohan, Natarajan</creator><creator>Isa, Mohamed Hasnain</creator><creator>Azner Abidin, Che Zulzikrami</creator><creator>Ibrahim, Abdul Haqi</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5015-0694</orcidid></search><sort><creationdate>20240701</creationdate><title>Remediation of carcinogenic PAHs from landfill leachate by Electro-Fenton process – Optimization and modeling</title><author>Singa, Pradeep Kumar ; Rajamohan, Natarajan ; Isa, Mohamed Hasnain ; Azner Abidin, Che Zulzikrami ; Ibrahim, Abdul Haqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c236t-5a534c3c21b444f8f08cd56b67fa612e2b017f1338a1965234fbdd9f1da16d9e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Artificial intelligence</topic><topic>Central composite design</topic><topic>Electro-Fenton</topic><topic>Polycyclic aromatic hydrocarbons</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Singa, Pradeep Kumar</creatorcontrib><creatorcontrib>Rajamohan, Natarajan</creatorcontrib><creatorcontrib>Isa, Mohamed Hasnain</creatorcontrib><creatorcontrib>Azner Abidin, Che Zulzikrami</creatorcontrib><creatorcontrib>Ibrahim, Abdul Haqi</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Chemosphere (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Singa, Pradeep Kumar</au><au>Rajamohan, Natarajan</au><au>Isa, Mohamed Hasnain</au><au>Azner Abidin, Che Zulzikrami</au><au>Ibrahim, Abdul Haqi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Remediation of carcinogenic PAHs from landfill leachate by Electro-Fenton process – Optimization and modeling</atitle><jtitle>Chemosphere (Oxford)</jtitle><addtitle>Chemosphere</addtitle><date>2024-07-01</date><risdate>2024</risdate><volume>359</volume><spage>142248</spage><epage>142248</epage><pages>142248-142248</pages><artnum>142248</artnum><issn>0045-6535</issn><eissn>1879-1298</eissn><abstract>PAHs is the group of emerging micro-pollutants present in most environmental matrices that has the tendency to bioaccumulate and cause carcinogenic effects to human health. The present research involved the quantification and treatment of leachate produced from secured landfill, to eliminate the PAHS. Electro-Fenton process, a class of advanced oxidation process, is adopted to degrade the PAHs using titanium electrodes as both anode and cathode. Artificial intelligence based statistical tool “Central Composite Design” a module of JMP -19 software was used to design the experiments and optimize the critical parameters involved in the research. It was observed that the value of P is significant (P < 0.05) for all the independent variables evidencing the significant correlation between experimental values and predicted values of the software. The value of R2 obtained was 0.96 and 0.97 for COD and PAHs respectively. The maximum removal efficiency of COD and PAH was found to be 84.24% and 90.78% respectively. The optimized conditions obtained from the central composite design were: pH = 5; Fe2+ = 0.1 g/L; H2O2 = 2 g/L; reaction time = 60 min; and electric intensity = 0.2 A. Additionally, optimized experimental conditions were used to study the removal efficiencies of individual 16 PAHs and are also reported. From the close proximity of experimental and predicted results of the software it can be proved that central composite design is efficient enough to be used as a statistical tool in design and analysis for treatment of landfill leachate.
[Display omitted]
•Electro Fenton method was used to remove PAHs.•Artificial intelligence based optimization is applied for leachate treatment.•The removal efficiency of COD and PAH were found to be 84.24% and 86.05%.•Removal efficiency of 16 individual PAHs are determined.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>38710412</pmid><doi>10.1016/j.chemosphere.2024.142248</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-5015-0694</orcidid></addata></record> |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Artificial intelligence Central composite design Electro-Fenton Polycyclic aromatic hydrocarbons Statistical analysis |
| title | Remediation of carcinogenic PAHs from landfill leachate by Electro-Fenton process – Optimization and modeling |
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