Please use this identifier to cite or link to this item: 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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