Surface facet Fe2O3-based visible light photocatalytic activation of persulfate for the removal of RR120 dye: nonlinear modeling and optimization

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Autor(es): dc.contributorGIK Institute of Engineering Sciences and Technology-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorThe University of Texas at Arlington-
Autor(es): dc.creatorKhan, Saad U.-
Autor(es): dc.creatorKhan, Hammad-
Autor(es): dc.creatorHussain, Sajjad-
Autor(es): dc.creatorTorquato, Lilian D. M.-
Autor(es): dc.creatorKhan, Sabir-
Autor(es): dc.creatorMiranda, Raul G.-
Autor(es): dc.creatorOliveira, Danielle P.-
Autor(es): dc.creatorDorta, Daniel J.-
Autor(es): dc.creatorPerini, João A. Lima-
Autor(es): dc.creatorChoi, Hyeok-
Autor(es): dc.creatorZanoni, Maria V. Boldrin-
Data de aceite: dc.date.accessioned2025-08-21T17:06:22Z-
Data de disponibilização: dc.date.available2025-08-21T17:06:22Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s11356-022-19230-x-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/234219-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/234219-
Descrição: dc.descriptionPhotocatalytic activation of persulfate (PS) is recently emerged as an energy-efficient and environmentally sustainable approach for pollutants degradation, which enables to leverage the strengths of low-cost solar energy and heterogeneous catalysis. Herein, we investigated the photocatalytic decomposition of reactive red 120 (RR120) dye using PS-activated Fe2O3 nanoparticles and elucidated the effect of their facets, α–Fe2O3 (001), β–Fe2O3 (100), and γ–Fe2O3 (111). β–Fe2O3 not only boosted the charge carrier separation but also provided more active sites for PS activation resulting in 6- and 3.5-fold higher photocatalytic activities compared to α–Fe2O3 and γ–Fe2O3, respectively. Response surface methodology and artificial neural network coupled with genetic algorithm models were utilized to optimize and foresee Fe2O3/PS system under visible light. Almost 100% color removal and 82% organic removal were observed under the optimum conditions at 20 mg/L RR120, 22 mg/L β–Fe2O3, 18 mg/L PS, and pH: 3. Scavenger test indicated that both sulfate and hydroxyl radicals are responsible for the observed RR120 removal. Although cell viability test indicated that cytotoxicity of wastewater is not significantly reduced after treatment. All the results proposed that β–Fe2O3/PS at relatively low doses has a great potential to decompose and mineralize recalcitrant dyes in wastewater under invisible light.-
Descrição: dc.descriptionFaculty of Materials and Chemical Engineering GIK Institute of Engineering Sciences and Technology, Khyber Pakhtunkhwa-
Descrição: dc.descriptionInstitute of Chemistry São Paulo State University (UNESP)-
Descrição: dc.descriptionNational Institute for Alternative Technologies of Detection Toxicological Evaluation and Removal of Micropollutants and Radioactives (INCT-DATREM) Institute of Chemistry São Paulo State University (UNESP)-
Descrição: dc.descriptionSchool of Pharmaceutical Science of Ribeirão Preto University of São Paulo, SP-
Descrição: dc.descriptionFaculdade de Filosofia Ciências e Letras Departamento de Química Universidade de São Paulo, SP-
Descrição: dc.descriptionDepartment of Civil Engineering The University of Texas at Arlington, 416 Yates Street-
Descrição: dc.descriptionInstitute of Chemistry São Paulo State University (UNESP)-
Descrição: dc.descriptionNational Institute for Alternative Technologies of Detection Toxicological Evaluation and Removal of Micropollutants and Radioactives (INCT-DATREM) Institute of Chemistry São Paulo State University (UNESP)-
Idioma: dc.languageen-
Relação: dc.relationEnvironmental Science and Pollution Research-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectArtificial neural network-
Palavras-chave: dc.subjectFacet engineering-
Palavras-chave: dc.subjectFe2O3 photocatalyst-
Palavras-chave: dc.subjectPersulfate activation-
Palavras-chave: dc.subjectResponse surface methodology-
Título: dc.titleSurface facet Fe2O3-based visible light photocatalytic activation of persulfate for the removal of RR120 dye: nonlinear modeling and optimization-
Tipo de arquivo: dc.typelivro digital-
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