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Optimization of the photocatalytic degradation of phenol using superparamagnetic iron oxide (Fe 3 O 4 ) nanoparticles in aqueous solutions.

Authors :
Bazrafshan E
Mohammadi L
Zarei AA
Mosafer J
Zafar MN
Dargahi A
Source :
RSC advances [RSC Adv] 2023 Aug 24; Vol. 13 (36), pp. 25408-25424. Date of Electronic Publication: 2023 Aug 24 (Print Publication: 2023).
Publication Year :
2023

Abstract

The present work was carried out to remove phenol from aqueous medium using a photocatalytic process with superparamagnetic iron oxide nanoparticles (Fe <subscript>3</subscript> O <subscript>4</subscript> ) called SPIONs. The photocatalytic process was optimized using a central composite design based on the response surface methodology. The effects of pH (3-7), UV/SPION nanoparticles ratio (1-3), contact time (30-90 minutes), and initial phenol concentration (20-80 mg L <superscript>-1</superscript> ) on the photocatalytic process were investigated. The interaction of the process parameters and their optimal conditions were determined using CCD. The statistical data were analyzed using a one-way analysis of variance. We developed a quadratic model using a central composite design to indicate the photocatalyst impact on the decomposition of phenol. There was a close similarity between the empirical values gained for the phenol content and the predicted response values. Considering the design, optimum values of pH, phenol concentration, UV/SPION ratio, and contact time were determined to be 3, 80 mg L <superscript>-1</superscript> , 3, and 60 min, respectively; 94.9% of phenol was eliminated under the mentioned conditions. Since high values were obtained for the adjusted R <superscript>2</superscript> (0.9786) and determination coefficient ( R <superscript>2</superscript> = 0.9875), the response surface methodology can describe the phenol removal by the use of the photocatalytic process. According to the one-way analysis of variance results, the quadratic model obtained by RSM is statistically significant for removing phenol. The recyclability of 92% after four consecutive cycles indicates the excellent stability of the photocatalyst for practical applications. Our research findings indicate that it is possible to employ response surface methodology as a helpful tool to optimize and modify process parameters for maximizing phenol removal from aqueous solutions and photocatalytic processes using SPIONs.<br />Competing Interests: The authors declare no competing interests.<br /> (This journal is © The Royal Society of Chemistry.)

Details

Language :
English
ISSN :
2046-2069
Volume :
13
Issue :
36
Database :
MEDLINE
Journal :
RSC advances
Publication Type :
Academic Journal
Accession number :
37636498
Full Text :
https://doi.org/10.1039/d3ra03612j