Modeling polystyrene nanoplastics degradation in water via photo-fenton treatment: A shrinking-particle approach

In this study, kinetic models for the photo-Fenton oxidation of polystyrene nanoplastics (NPs) in water were developed, considering particles with decreasing diameters. Various reaction parameters affecting the oxidation rate, such as particle size (140 909 nm), agitation speed (250 1000 rpm), and o...

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Detalles Bibliográficos
Autores: di Luca, Carla, García Martín, Jorge, Muñoz García, Macarena, Fasce, Laura, Martínez de Pedro, Zahara, Casas de Pedro, José Antonio
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/716154
Acceso en línea:http://hdl.handle.net/10486/716154
https://dx.doi.org/10.1016/j.apcatb.2024.124751
Access Level:acceso abierto
Palabra clave:Photo-Fenton
Nanoplastics
Solid Fluid Kinetic Model
Shrinking-Core Model
Advanced Oxidation Processes
Water Treatment
Química
Descripción
Sumario:In this study, kinetic models for the photo-Fenton oxidation of polystyrene nanoplastics (NPs) in water were developed, considering particles with decreasing diameters. Various reaction parameters affecting the oxidation rate, such as particle size (140 909 nm), agitation speed (250 1000 rpm), and operating temperature (25 and 60 C) were investigated. Oxidation progress was evaluated through turbidity measurements, TEM, and FTIR analysis, while leached intermediates were identified via Pyr-GC-MS and IC. Due to changes in NPs surface reactivity, the overall reaction rate was divided into two stages, following a free-radical mechanism. Using equations derived from the classic Shrinking Core Model, the oxidation of NPs was determined to proceed under chemical reaction control, with negligible mass transfer limitations. Additionally, the Prout-Tompkins model was found to accurately represent the degradation process. The proposed mechanisms and models provide valuable insights for describing and predicting the advanced oxidation of NPs under different operating conditions and treatment methods