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Statistical optimization modeling of organic dye photodegradation process using slag nanocomposite

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Abstract

The photocatalytic activity of three solvothermal prepared steel slag nanocomposites, SSNP-10, SSNP-20, and SSNP-30, was tested in this work for methylene blue (MB) dye degradation. Using SSNP for the first time, the photocatalytic degradation of MB dye was optimized using Box–Behnken design (BBD) in a response surface approach. The influence of essential operating parameters was experimentally examined, modeled, and optimized. The analysis of variance (ANOVA) results revealed that the suggested quadratic models significantly agreed with the experimental investigation, with p-values less than 0.0001 and an R2 value of 0.9914. Accordingly, the optimized conditions were 32.83 mg catalyst dose, 11.42 pH, 41.34 min irradiation times, and 10.63 mg/L MB dye concentration. The optimized degradation efficiency of the MB dye was 89.43% under these conditions. The result was experimentally validated with the optimal operating parameters for SSNP-10, SSNP-20, and SSNP-30, and the photodegradation efficiencies were 90.07%, 88.94%, and 87.28%, respectively. A pseudo-first-order reaction kinetics of 0.0293, 0.0291, and 0.0267 was achieved for SSNP-10, SSNP-20, and SSNP-30 with a regression coefficient of 0.9514, 0.9312, and 0.9042, respectively. According to Pareto analysis, the operational factors that had the greatest effect on dye degradation efficiency were catalyst dosage (F-value 585.32) > MB concentration (F-value 423.89) > irradiation period (F-value 368.01) > pH (F-value 362.34). The results showed that the SSNP catalyst was the key parameter for the generation of hydroxyl radicals responsible for the photodegradation of MB dye and may be useful for other contaminants' degradation.

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The data produced in this research can be made available upon request from the corresponding author.

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Acknowledgements

The authors want to express their appreciation to the Japan International Cooperation Agency (JICA) and Egypt-Japan University of Science and Technology (E-JUST) for providing financial and technical support, respectively. Additionally, the first author, K.S, wishes to thank the Department of Chemical and Petrochemical Engineering for their cooperation during this work and the Lab Engineers.

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Authors and Affiliations

  1. Department of Chemical and Petrochemicals Engineering, Egypt-Japan University of Science and Technology, New Borg Al-Arab City, Alexandria, Egypt

    Kingsley Safo, Hussien Noby & Ahmed H. El-Shazly

  2. Department of Chemical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt

    Ahmed H. El-Shazly

  3. Materials Engineering and Design, Faculty of Energy Engineering, Aswan University, Aswan, Egypt

    Hussien Noby

  4. Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 6-1 Kasuga Kouen, Kasuga, Fukuoka, 816-8580, Japan

    Mitsuhara Matatoshi & Hiroshi Naragino

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  1. Kingsley Safo
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  2. Hussien Noby
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Safo, K., Noby, H., Matatoshi, M. et al. Statistical optimization modeling of organic dye photodegradation process using slag nanocomposite. Res Chem Intermed 48, 4183–4208 (2022). https://doi.org/10.1007/s11164-022-04807-5

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