Improving the sustainability of heterogeneous Fenton-based methods for micropollutant abatement by electrochemical coupling

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Abstract

Advanced oxidation processes such as Fenton reaction-based processes have attracted great interest in recent years as a promising alternative for the removal of persistent pollutants in wastewater. The use of nanocatalysts in advanced oxidation processes overcomes the limitations of homogeneous Fenton processes, where acidic pH values are required, and a large amount of sludge is generated after treatment. Aiming at maximizing the catalytic potential of the process, different configurations include coupling photocatalysis or electrochemistry to Fenton reactions. This manuscript presents a comparative environmental and economic analysis of different heterogeneous Fenton-based process using magnetic nanoparticles: Fenton, photo-Fenton, electro-Fenton and photoelectron-Fenton. These alternatives encompass not only different reaction conditions but also varying degradation kinetics, which control the treatment capability in each specific case. It is not only important to determine the technological feasibility of the proposal based on the removal performance of the target compounds, but also to identify the environmental profile of each configuration. In this regard, the Life Cycle Assessment methodology was applied considering a combination of primary and secondary data from process modeling. Moreover, and aiming towards the future large-scale implementation of the technology, an economic analysis of each configuration was also performed to provide a better understanding about the costs associated to the operation of Fenton-based wastewater treatments.

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Conde, J.J., Abelleira, S., Estévez, S., González-Rodríguez, J., Feijoo, G., Moreira, M.T. Improving the sustainability of heterogeneous Fenton-based methods for micropollutant abatement by electrochemical coupling. Journal of Environmental Management 332, 2023, 117308.

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This research was supported by HP-NANOBIO (PID2019-111163RB-I00), funded by Agencia Estatal de Investigación (AEI), and SPOTLIGHT (PDC2021-121540-I00) projects, funded by Agencia Estatal de Investigación (AEI) and European Union NextGenerationEU/PRTR. J.J.C. acknowledges Xunta de Galicia financial support through a postdoctoral fellowship (Grant reference ED481B-2021/015). S.E. and J.G.-R. predoctoral fellowships were funded by Agencia Estatal de Investigación (AEI) and by “ESF Investing in your future” (Grant references PRE2020-092074 and FPU19/004612, respectively). The authors belong to the Galician Competitive Research Group (GRC) ED432C-2021/37

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© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/)