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https://hdl.handle.net/10356/161069
Title: | Scalable synthesis of Ca-doped α-Fe₂O₃ with abundant oxygen vacancies for enhanced degradation of organic pollutants through peroxymonosulfate activation | Authors: | Guo, Sheng Wang, Haojie Yang, Wei Fida, Hussain You, Liming Zhou, Kun |
Keywords: | Engineering::Environmental engineering | Issue Date: | 2020 | Source: | Guo, S., Wang, H., Yang, W., Fida, H., You, L. & Zhou, K. (2020). Scalable synthesis of Ca-doped α-Fe₂O₃ with abundant oxygen vacancies for enhanced degradation of organic pollutants through peroxymonosulfate activation. Applied Catalysis B: Environmental, 262, 118250-. https://dx.doi.org/10.1016/j.apcatb.2019.118250 | Journal: | Applied Catalysis B: Environmental | Abstract: | In this work, a cost-effective and eco-friendly calcium-doped α-Fe2O3 (Ca-Fe2O3) with abundant oxygen vacancies was fabricated using a scalable precipitation-calcination method to activate peroxymonosulfate (PMS) for wastewater purification. Density functional theory calculations revealed that the incorporation of Ca2+ into the α-Fe2O3 structure enhances the electron transfer from α-Fe2O3 to PMS, facilitating the activation of PMS. The degradation of Rhodamine B by 5%Ca-Fe2O3 proceeded with a reaction constant 8 times higher than that of pristine α-Fe2O3. This can be attributed to the increased generation of 1O2 and O2•−, increased specific surface area and enhanced electrical conductivity. The applicability of the 5%Ca-Fe2O3/PMS system was investigated including its operating parameters and stability, and the intermediates involved in the reaction were identified. The 5%Ca-Fe2O3/PMS system exhibited excellent degradation efficiency in natural water samples. This work opens up new perspectives for designing highly efficient catalysts and renders iron oxides potential candidates for environmental remediation. | URI: | https://hdl.handle.net/10356/161069 | ISSN: | 0926-3373 | DOI: | 10.1016/j.apcatb.2019.118250 | Research Centres: | Nanyang Environment and Water Research Institute Environmental Process Modelling Centre |
Rights: | © 2019 Elsevier B.V. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | NEWRI Journal Articles |
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