Treatment of a dye solution using photoelectro-fenton process on the cathode containing carbon nanotubes under recirculation mode: Investigation of operational parameters and artificial neural network modeling.
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| Title: | Treatment of a dye solution using photoelectro-fenton process on the cathode containing carbon nanotubes under recirculation mode: Investigation of operational parameters and artificial neural network modeling. |
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| Authors: | Khataee, A.R.1, Vahid, B.1, Behjati, B.1, Safarpour, M.1 |
| Source: | Environmental Progress & Sustainable Energy. Oct2013, Vol. 32 Issue 3, p557-563. 7p. |
| Subject Terms: | *Hydrogen-ion concentration, Electron cloud effect, Photoelectrons, Cathodes, Carbon nanotubes, Recirculating electron accelerators, Artificial neural networks |
| Abstract: | The electrochemical treatment of dye solution containing C.I. Direct Red 23 (DR23) has been studied under recirculation mode with an UV irradiation of 15 W. Decolorization experiments were performed in the presence of sulfate electrolyte media at pH 3.0 with carbon nanotube-polytetrafluoroethylene (CNT-PTFE) electrode as cathode. A comparison of electro-Fenton (EF) and photoelectro-Fenton (PEF) processes was carried out for decolorization of DR23 solution. Color removal efficiency was 66.22% and 94.29% for EF and PEF processes after 60 min treatment of 30 mg/L DR23, respectively. The effect of operational parameters on the PEF process such as applied current, initial pH, flow rate, initial Fe3+ concentration and initial dye concentration was investigated. Results indicated that the optimal conditions for decolorization process were applied current of 0.2 A, flow rate of 10 L/h, pH = 3, initial Fe3+ concentration of 0.05 mM and initial dye concentration of 10 mg/L. An artificial neural network (ANN) model was developed to predict the decolorization of DR23 solution, which provided reasonable predictive performance ( R2 = 0.958). © 2012 American Institute of Chemical Engineers Environ Prog, 32: 557-563, 2013 [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Progress & Sustainable Energy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Items | – Name: Title Label: Title Group: Ti Data: Treatment of a dye solution using photoelectro-fenton process on the cathode containing carbon nanotubes under recirculation mode: Investigation of operational parameters and artificial neural network modeling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Khataee%2C+A%2ER%2E%22">Khataee, A.R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Vahid%2C+B%2E%22">Vahid, B.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Behjati%2C+B%2E%22">Behjati, B.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Safarpour%2C+M%2E%22">Safarpour, M.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Progress+%26+Sustainable+Energy%22">Environmental Progress & Sustainable Energy</searchLink>. Oct2013, Vol. 32 Issue 3, p557-563. 7p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Hydrogen-ion+concentration%22">Hydrogen-ion concentration</searchLink><br /><searchLink fieldCode="DE" term="%22Electron+cloud+effect%22">Electron cloud effect</searchLink><br /><searchLink fieldCode="DE" term="%22Photoelectrons%22">Photoelectrons</searchLink><br /><searchLink fieldCode="DE" term="%22Cathodes%22">Cathodes</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+nanotubes%22">Carbon nanotubes</searchLink><br /><searchLink fieldCode="DE" term="%22Recirculating+electron+accelerators%22">Recirculating electron accelerators</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The electrochemical treatment of dye solution containing C.I. Direct Red 23 (DR23) has been studied under recirculation mode with an UV irradiation of 15 W. Decolorization experiments were performed in the presence of sulfate electrolyte media at pH 3.0 with carbon nanotube-polytetrafluoroethylene (CNT-PTFE) electrode as cathode. A comparison of electro-Fenton (EF) and photoelectro-Fenton (PEF) processes was carried out for decolorization of DR23 solution. Color removal efficiency was 66.22% and 94.29% for EF and PEF processes after 60 min treatment of 30 mg/L DR23, respectively. The effect of operational parameters on the PEF process such as applied current, initial pH, flow rate, initial Fe3+ concentration and initial dye concentration was investigated. Results indicated that the optimal conditions for decolorization process were applied current of 0.2 A, flow rate of 10 L/h, pH = 3, initial Fe3+ concentration of 0.05 mM and initial dye concentration of 10 mg/L. An artificial neural network (ANN) model was developed to predict the decolorization of DR23 solution, which provided reasonable predictive performance ( R2 = 0.958). © 2012 American Institute of Chemical Engineers Environ Prog, 32: 557-563, 2013 [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Progress & Sustainable Energy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ep.11657 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 557 Subjects: – SubjectFull: Hydrogen-ion concentration Type: general – SubjectFull: Electron cloud effect Type: general – SubjectFull: Photoelectrons Type: general – SubjectFull: Cathodes Type: general – SubjectFull: Carbon nanotubes Type: general – SubjectFull: Recirculating electron accelerators Type: general – SubjectFull: Artificial neural networks Type: general Titles: – TitleFull: Treatment of a dye solution using photoelectro-fenton process on the cathode containing carbon nanotubes under recirculation mode: Investigation of operational parameters and artificial neural network modeling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khataee, A.R. – PersonEntity: Name: NameFull: Vahid, B. – PersonEntity: Name: NameFull: Behjati, B. – PersonEntity: Name: NameFull: Safarpour, M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 19447442 Numbering: – Type: volume Value: 32 – Type: issue Value: 3 Titles: – TitleFull: Environmental Progress & Sustainable Energy Type: main |
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