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...
Gespeichert in:
Veröffentlicht in: | Environmental science and pollution research international 2024-08, Vol.31 (39), p.51267-51299 |
---|---|
Hauptverfasser: | , , , , , , |
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 & 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 |