Efficient Removal of Metronidazole by the Photo-Fenton Process with a Magnetic Fe3O4@PBC Composite
Publication: Journal of Environmental Engineering
Volume 146, Issue 7
Abstract
-coated pretreated biochars (@PBC) were prepared for the first time by a Fe(III)-ethanol solution impregnation-calcination method. When photo-Fenton catalysts were used, their effectiveness in removing metronidazole (MNZ) from aqueous media was evaluated. @PBC samples were characterized by X-ray diffraction, scanning electron microscope, vibrating sample magnetometer, X-ray photoelectron spectroscopy, and Brunauer–Emmett–Teller methods. The results showed that coating was successfully formed on the surface of pretreated biochar, and @PBC can be separated by applying an external magnetic field. The coating of did not change the pore structure and maintained a high surface area of the biochar. Fe loading significantly affected the photo-Fenton degradation and adsorption ability of MNZ. The highest MNZ removal rate and the greatest catalytic ability were found in the PBC-6.6Fe sample containing 6.6% Fe by mass. Various operating parameters, such as solution pH, concentration, and MNZ concentration, were tested during MNZ’s photo-Fenton catalytic degradation. The results indicate that the highest MNZ degradation efficiency can be derived from a moderate acidic solution, and the optimal pH is 3. Using PBC-6.6Fe, the increase of concentration from 30 to promotes the degradation of photo-Fenton, and both an excessive and an increase in MNZ concentration suppressed the process. Under the conditions of PBC-6.6Fe, , , and initial pH of 3, 95.1% of MNZ was degraded. The PBC-6.6Fe had good stability, and its removal efficiency was still over 92% after five repeated uses. This study confirmed that •OH played a dominant role, while and played a weaker role in the photo-Fenton system. The results indicated that @PBC served as a prospective visible-light-driven catalyst similar to Fenton for the treatment of wastewater containing MNZ.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This work was financially supported by the National Natural Science Foundation of China (21677046) and the Natural Science Foundation of Hebei Province (B2017205146).
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Received: Oct 12, 2019
Accepted: Jan 16, 2020
Published online: Apr 25, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 25, 2020
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