Effective degradation of bentazone by two-dimensional and three-phase, three-dimensional electro-oxidation system: kinetic studies and optimization using ANN

Bentazone is a broad-leaved weed-specific herbicide in the pesticide industry. This study focused on removing bentazone from water using three different methods: a two and three-dimensional electro-oxidation process (2D/EOP and 3D/EOP) with a fluid-type reactor arrangement using tetraethylenepentami...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Environmental science and pollution research international 2024-08, Vol.31 (39), p.51267-51299
Hauptverfasser: Samdan, Canan, Demiral, Hakan, Simsek, Yunus Emre, Demiral, Ilknur, Karabacakoglu, Belgin, Bozkurt, Tugce, Cin, Hatice Hurrem
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 51299
container_issue 39
container_start_page 51267
container_title Environmental science and pollution research international
container_volume 31
creator Samdan, Canan
Demiral, Hakan
Simsek, Yunus Emre
Demiral, Ilknur
Karabacakoglu, Belgin
Bozkurt, Tugce
Cin, Hatice Hurrem
description Bentazone is a broad-leaved weed-specific herbicide in the pesticide industry. This study focused on removing bentazone from water using three different methods: a two and three-dimensional electro-oxidation process (2D/EOP and 3D/EOP) with a fluid-type reactor arrangement using tetraethylenepentamine-loaded particle electrodes and an adsorption method. Additionally, we analysed the effects of two types of supporting electrolytes  (Na 2 SO 4 and NaCl) on the degradation process. The energy consumption amounts were calculated to evaluate the obtained results. The degradation reaction occurs 3.5 times faster in 3D/EOP than in 2D/EOP at 6 V in Na 2 SO 4 . Similarly, the degradation reaction of bentazone in NaCl occurs 2.5 times faster in 3D/EOP than in 2D/EOP at a value of 7.2 mA/cm 2 . Removal of bentazone is significantly better in 3D/EOPs than in 2D/EOPs. The use of particle electrodes can significantly enhance the degradation efficiency. The study further assessed the prediction abilities of the machine learning model (ANN). The ANN presented reasonable accuracy in bentazone degradation with high R 2 values of 0.97953, 0.98561, 0.98563, and 0.99649 for 2D with Na 2 SO 4 , 2D with NaCl, 3D with Na 2 SO 4 , and 3D with NaCl, respectively.
doi_str_mv 10.1007/s11356-024-34493-2
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3089880155</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3100678081</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1712-fc8690a3d5be3205bdafa11bfa07065ccb35d33ab5e0db5329e1727b57af39833</originalsourceid><addsrcrecordid>eNp9kc1uFSEYQInR2Fp9AReGxI0LUX6GYXDXNPUnaepG1wSGb26pM8MVmOrtu_RdpZ2rNi5cAfkOh5CD0HNG3zBK1dvMmJAtobwhomm0IPwBOmQta4hqtH54b3-AnuR8SSmnmqvH6EBoRlXbiEN0czoM0JdwBdjDJllvS4gzjgN2MBd7HWfAbofLj0h8mGDOdWpHbGePy0UCINsLm-H1_nAfgbF6UyTxZ9hL8y4XmN7hb2GGEnqcy-ID5DtZ3JYwhesVXHKYN_j4_PwpejTYMcOz_XqEvr4__XLykZx9_vDp5PiM9EwxToa-azW1wksHglPpvB0sY26wVNFW9r0T0gthnQTqnRRcA1NcOansIHQnxBF6tXq3KX5fIBczhdzDONoZ4pKNoJ3uOsqkrOjLf9DLuKT64UrVKq3qaMcqxVeqTzHnBIPZpjDZtDOMmtt4Zo1najxzF8_weunFXr24CfyfK79rVUCsQK6jeQPp79v_0f4C21CoAA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3100678081</pqid></control><display><type>article</type><title>Effective degradation of bentazone by two-dimensional and three-phase, three-dimensional electro-oxidation system: kinetic studies and optimization using ANN</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Samdan, Canan ; Demiral, Hakan ; Simsek, Yunus Emre ; Demiral, Ilknur ; Karabacakoglu, Belgin ; Bozkurt, Tugce ; Cin, Hatice Hurrem</creator><creatorcontrib>Samdan, Canan ; Demiral, Hakan ; Simsek, Yunus Emre ; Demiral, Ilknur ; Karabacakoglu, Belgin ; Bozkurt, Tugce ; Cin, Hatice Hurrem</creatorcontrib><description>Bentazone is a broad-leaved weed-specific herbicide in the pesticide industry. This study focused on removing bentazone from water using three different methods: a two and three-dimensional electro-oxidation process (2D/EOP and 3D/EOP) with a fluid-type reactor arrangement using tetraethylenepentamine-loaded particle electrodes and an adsorption method. Additionally, we analysed the effects of two types of supporting electrolytes  (Na 2 SO 4 and NaCl) on the degradation process. The energy consumption amounts were calculated to evaluate the obtained results. The degradation reaction occurs 3.5 times faster in 3D/EOP than in 2D/EOP at 6 V in Na 2 SO 4 . Similarly, the degradation reaction of bentazone in NaCl occurs 2.5 times faster in 3D/EOP than in 2D/EOP at a value of 7.2 mA/cm 2 . Removal of bentazone is significantly better in 3D/EOPs than in 2D/EOPs. The use of particle electrodes can significantly enhance the degradation efficiency. The study further assessed the prediction abilities of the machine learning model (ANN). The ANN presented reasonable accuracy in bentazone degradation with high R 2 values of 0.97953, 0.98561, 0.98563, and 0.99649 for 2D with Na 2 SO 4 , 2D with NaCl, 3D with Na 2 SO 4 , and 3D with NaCl, respectively.</description><identifier>ISSN: 1614-7499</identifier><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-024-34493-2</identifier><identifier>PMID: 39107643</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Bentazone ; Benzothiadiazines - chemistry ; Degradation ; Earth and Environmental Science ; Ecotoxicology ; Electrodes ; Electrolytes ; Energy consumption ; Environment ; Environmental Chemistry ; Environmental Health ; Herbicides ; Herbicides - chemistry ; Kinetics ; Machine learning ; Oxidation ; Oxidation process ; Oxidation-Reduction ; Pesticides ; Research Article ; Sodium chloride ; Sodium sulfate ; Waste Water Technology ; Water Management ; Water Pollutants, Chemical - chemistry ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2024-08, Vol.31 (39), p.51267-51299</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1712-fc8690a3d5be3205bdafa11bfa07065ccb35d33ab5e0db5329e1727b57af39833</cites><orcidid>0000-0003-2867-5205 ; 0000-0002-3157-7609 ; 0000-0001-6722-2052 ; 0000-0003-3038-8598 ; 0000-0001-8755-0790</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/s11356-024-34493-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-024-34493-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27928,27929,41492,42561,51323</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39107643$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Samdan, Canan</creatorcontrib><creatorcontrib>Demiral, Hakan</creatorcontrib><creatorcontrib>Simsek, Yunus Emre</creatorcontrib><creatorcontrib>Demiral, Ilknur</creatorcontrib><creatorcontrib>Karabacakoglu, Belgin</creatorcontrib><creatorcontrib>Bozkurt, Tugce</creatorcontrib><creatorcontrib>Cin, Hatice Hurrem</creatorcontrib><title>Effective degradation of bentazone by two-dimensional and three-phase, three-dimensional electro-oxidation system: kinetic studies and optimization using ANN</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>Bentazone is a broad-leaved weed-specific herbicide in the pesticide industry. This study focused on removing bentazone from water using three different methods: a two and three-dimensional electro-oxidation process (2D/EOP and 3D/EOP) with a fluid-type reactor arrangement using tetraethylenepentamine-loaded particle electrodes and an adsorption method. Additionally, we analysed the effects of two types of supporting electrolytes  (Na 2 SO 4 and NaCl) on the degradation process. The energy consumption amounts were calculated to evaluate the obtained results. The degradation reaction occurs 3.5 times faster in 3D/EOP than in 2D/EOP at 6 V in Na 2 SO 4 . Similarly, the degradation reaction of bentazone in NaCl occurs 2.5 times faster in 3D/EOP than in 2D/EOP at a value of 7.2 mA/cm 2 . Removal of bentazone is significantly better in 3D/EOPs than in 2D/EOPs. The use of particle electrodes can significantly enhance the degradation efficiency. The study further assessed the prediction abilities of the machine learning model (ANN). The ANN presented reasonable accuracy in bentazone degradation with high R 2 values of 0.97953, 0.98561, 0.98563, and 0.99649 for 2D with Na 2 SO 4 , 2D with NaCl, 3D with Na 2 SO 4 , and 3D with NaCl, respectively.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Bentazone</subject><subject>Benzothiadiazines - chemistry</subject><subject>Degradation</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Electrodes</subject><subject>Electrolytes</subject><subject>Energy consumption</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Herbicides</subject><subject>Herbicides - chemistry</subject><subject>Kinetics</subject><subject>Machine learning</subject><subject>Oxidation</subject><subject>Oxidation process</subject><subject>Oxidation-Reduction</subject><subject>Pesticides</subject><subject>Research Article</subject><subject>Sodium chloride</subject><subject>Sodium sulfate</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollutants, Chemical - chemistry</subject><subject>Water Pollution Control</subject><issn>1614-7499</issn><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1uFSEYQInR2Fp9AReGxI0LUX6GYXDXNPUnaepG1wSGb26pM8MVmOrtu_RdpZ2rNi5cAfkOh5CD0HNG3zBK1dvMmJAtobwhomm0IPwBOmQta4hqtH54b3-AnuR8SSmnmqvH6EBoRlXbiEN0czoM0JdwBdjDJllvS4gzjgN2MBd7HWfAbofLj0h8mGDOdWpHbGePy0UCINsLm-H1_nAfgbF6UyTxZ9hL8y4XmN7hb2GGEnqcy-ID5DtZ3JYwhesVXHKYN_j4_PwpejTYMcOz_XqEvr4__XLykZx9_vDp5PiM9EwxToa-azW1wksHglPpvB0sY26wVNFW9r0T0gthnQTqnRRcA1NcOansIHQnxBF6tXq3KX5fIBczhdzDONoZ4pKNoJ3uOsqkrOjLf9DLuKT64UrVKq3qaMcqxVeqTzHnBIPZpjDZtDOMmtt4Zo1najxzF8_weunFXr24CfyfK79rVUCsQK6jeQPp79v_0f4C21CoAA</recordid><startdate>202408</startdate><enddate>202408</enddate><creator>Samdan, Canan</creator><creator>Demiral, Hakan</creator><creator>Simsek, Yunus Emre</creator><creator>Demiral, Ilknur</creator><creator>Karabacakoglu, Belgin</creator><creator>Bozkurt, Tugce</creator><creator>Cin, Hatice Hurrem</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2867-5205</orcidid><orcidid>https://orcid.org/0000-0002-3157-7609</orcidid><orcidid>https://orcid.org/0000-0001-6722-2052</orcidid><orcidid>https://orcid.org/0000-0003-3038-8598</orcidid><orcidid>https://orcid.org/0000-0001-8755-0790</orcidid></search><sort><creationdate>202408</creationdate><title>Effective degradation of bentazone by two-dimensional and three-phase, three-dimensional electro-oxidation system: kinetic studies and optimization using ANN</title><author>Samdan, Canan ; Demiral, Hakan ; Simsek, Yunus Emre ; Demiral, Ilknur ; Karabacakoglu, Belgin ; Bozkurt, Tugce ; Cin, Hatice Hurrem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1712-fc8690a3d5be3205bdafa11bfa07065ccb35d33ab5e0db5329e1727b57af39833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Bentazone</topic><topic>Benzothiadiazines - chemistry</topic><topic>Degradation</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Electrodes</topic><topic>Electrolytes</topic><topic>Energy consumption</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Herbicides</topic><topic>Herbicides - chemistry</topic><topic>Kinetics</topic><topic>Machine learning</topic><topic>Oxidation</topic><topic>Oxidation process</topic><topic>Oxidation-Reduction</topic><topic>Pesticides</topic><topic>Research Article</topic><topic>Sodium chloride</topic><topic>Sodium sulfate</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollutants, Chemical - chemistry</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Samdan, Canan</creatorcontrib><creatorcontrib>Demiral, Hakan</creatorcontrib><creatorcontrib>Simsek, Yunus Emre</creatorcontrib><creatorcontrib>Demiral, Ilknur</creatorcontrib><creatorcontrib>Karabacakoglu, Belgin</creatorcontrib><creatorcontrib>Bozkurt, Tugce</creatorcontrib><creatorcontrib>Cin, Hatice Hurrem</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Samdan, Canan</au><au>Demiral, Hakan</au><au>Simsek, Yunus Emre</au><au>Demiral, Ilknur</au><au>Karabacakoglu, Belgin</au><au>Bozkurt, Tugce</au><au>Cin, Hatice Hurrem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effective degradation of bentazone by two-dimensional and three-phase, three-dimensional electro-oxidation system: kinetic studies and optimization using ANN</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2024-08</date><risdate>2024</risdate><volume>31</volume><issue>39</issue><spage>51267</spage><epage>51299</epage><pages>51267-51299</pages><issn>1614-7499</issn><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Bentazone is a broad-leaved weed-specific herbicide in the pesticide industry. This study focused on removing bentazone from water using three different methods: a two and three-dimensional electro-oxidation process (2D/EOP and 3D/EOP) with a fluid-type reactor arrangement using tetraethylenepentamine-loaded particle electrodes and an adsorption method. Additionally, we analysed the effects of two types of supporting electrolytes  (Na 2 SO 4 and NaCl) on the degradation process. The energy consumption amounts were calculated to evaluate the obtained results. The degradation reaction occurs 3.5 times faster in 3D/EOP than in 2D/EOP at 6 V in Na 2 SO 4 . Similarly, the degradation reaction of bentazone in NaCl occurs 2.5 times faster in 3D/EOP than in 2D/EOP at a value of 7.2 mA/cm 2 . Removal of bentazone is significantly better in 3D/EOPs than in 2D/EOPs. The use of particle electrodes can significantly enhance the degradation efficiency. The study further assessed the prediction abilities of the machine learning model (ANN). The ANN presented reasonable accuracy in bentazone degradation with high R 2 values of 0.97953, 0.98561, 0.98563, and 0.99649 for 2D with Na 2 SO 4 , 2D with NaCl, 3D with Na 2 SO 4 , and 3D with NaCl, respectively.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>39107643</pmid><doi>10.1007/s11356-024-34493-2</doi><tpages>33</tpages><orcidid>https://orcid.org/0000-0003-2867-5205</orcidid><orcidid>https://orcid.org/0000-0002-3157-7609</orcidid><orcidid>https://orcid.org/0000-0001-6722-2052</orcidid><orcidid>https://orcid.org/0000-0003-3038-8598</orcidid><orcidid>https://orcid.org/0000-0001-8755-0790</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1614-7499
ispartof Environmental science and pollution research international, 2024-08, Vol.31 (39), p.51267-51299
issn 1614-7499
0944-1344
1614-7499
language eng
recordid cdi_proquest_miscellaneous_3089880155
source MEDLINE; SpringerNature Journals
subjects Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Bentazone
Benzothiadiazines - chemistry
Degradation
Earth and Environmental Science
Ecotoxicology
Electrodes
Electrolytes
Energy consumption
Environment
Environmental Chemistry
Environmental Health
Herbicides
Herbicides - chemistry
Kinetics
Machine learning
Oxidation
Oxidation process
Oxidation-Reduction
Pesticides
Research Article
Sodium chloride
Sodium sulfate
Waste Water Technology
Water Management
Water Pollutants, Chemical - chemistry
Water Pollution Control
title Effective degradation of bentazone by two-dimensional and three-phase, three-dimensional electro-oxidation system: kinetic studies and optimization using ANN
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T03%3A58%3A10IST&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=Effective%20degradation%20of%20bentazone%20by%20two-dimensional%20and%20three-phase,%20three-dimensional%20electro-oxidation%20system:%20kinetic%20studies%20and%20optimization%20using%20ANN&rft.jtitle=Environmental%20science%20and%20pollution%20research%20international&rft.au=Samdan,%20Canan&rft.date=2024-08&rft.volume=31&rft.issue=39&rft.spage=51267&rft.epage=51299&rft.pages=51267-51299&rft.issn=1614-7499&rft.eissn=1614-7499&rft_id=info:doi/10.1007/s11356-024-34493-2&rft_dat=%3Cproquest_cross%3E3100678081%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=3100678081&rft_id=info:pmid/39107643&rfr_iscdi=true