{"title":"Tailoring photocatalytic performance through Fe-doped TiO2/ZnO for effective remediation of organic contaminants","authors":"Yalda Davoodi, Mohammad Saleh Shafeeyan","doi":"10.1016/j.wri.2024.100239","DOIUrl":null,"url":null,"abstract":"<div><p>The development of highly efficient photocatalysts holds significant promise for addressing contemporary environmental challenges. This study focuses on the synthesis and characterization of a novel photocatalyst, iron-doped TiO<sub>2</sub>/ZnO particles, created through the sol-gel technique. The incorporation of iron ions into the crystalline structure of TiO<sub>2</sub>/ZnO aims to enhance the photocatalytic efficiency of TiO<sub>2</sub>. The findings revealed that Fe–ZnO/TiO<sub>2</sub> exhibits a more thermally stable lattice compared to TiO<sub>2</sub>/ZnO, thereby retarding the phase transformation from anatase to rutile under higher calcination temperature. The photocatalytic performance of the synthesized photocatalyst was evaluated through the degradation of methyl orange under visible light irradiation. A statistical response surface methodology based on a central composite design was employed to develop a predictive model for color removal (as the dependent variable) considering variations in irradiation intensity, initial color concentration, catalyst concentration, reaction time, and pH (as independent variables). The analysis of variance identified the initial color concentration as the most influential factor, negatively affecting the predicted response. The experimental values of color removal exhibited good agreement with the predicted values from the regression model with a coefficient of determination of 0.949, indicating the accuracy of this model in predicting the mentioned outcomes. The presented model indicated that, for a sample of methyl orange with an initial concentration of 21.97 ppm, a reaction time of 117.69 min under direct irradiation of 21.63 W, a catalyst concentration of 0.61 g/L, and a pH of 4.74, the optimal color removal efficiency of 78.99 % was achieved.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"31 ","pages":"Article 100239"},"PeriodicalIF":4.5000,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2212371724000015/pdfft?md5=f812791dac071f513fc687f9ac04efec&pid=1-s2.0-S2212371724000015-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Resources and Industry","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212371724000015","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0
Abstract
The development of highly efficient photocatalysts holds significant promise for addressing contemporary environmental challenges. This study focuses on the synthesis and characterization of a novel photocatalyst, iron-doped TiO2/ZnO particles, created through the sol-gel technique. The incorporation of iron ions into the crystalline structure of TiO2/ZnO aims to enhance the photocatalytic efficiency of TiO2. The findings revealed that Fe–ZnO/TiO2 exhibits a more thermally stable lattice compared to TiO2/ZnO, thereby retarding the phase transformation from anatase to rutile under higher calcination temperature. The photocatalytic performance of the synthesized photocatalyst was evaluated through the degradation of methyl orange under visible light irradiation. A statistical response surface methodology based on a central composite design was employed to develop a predictive model for color removal (as the dependent variable) considering variations in irradiation intensity, initial color concentration, catalyst concentration, reaction time, and pH (as independent variables). The analysis of variance identified the initial color concentration as the most influential factor, negatively affecting the predicted response. The experimental values of color removal exhibited good agreement with the predicted values from the regression model with a coefficient of determination of 0.949, indicating the accuracy of this model in predicting the mentioned outcomes. The presented model indicated that, for a sample of methyl orange with an initial concentration of 21.97 ppm, a reaction time of 117.69 min under direct irradiation of 21.63 W, a catalyst concentration of 0.61 g/L, and a pH of 4.74, the optimal color removal efficiency of 78.99 % was achieved.
期刊介绍:
Water Resources and Industry moves research to innovation by focusing on the role industry plays in the exploitation, management and treatment of water resources. Different industries use radically different water resources in their production processes, while they produce, treat and dispose a wide variety of wastewater qualities. Depending on the geographical location of the facilities, the impact on the local resources will vary, pre-empting the applicability of one single approach. The aims and scope of the journal include: -Industrial water footprint assessment - an evaluation of tools and methodologies -What constitutes good corporate governance and policy and how to evaluate water-related risk -What constitutes good stakeholder collaboration and engagement -New technologies enabling companies to better manage water resources -Integration of water and energy and of water treatment and production processes in industry