Agglomeration of nanoplastic particles (NPs) is a natural process in aquatic systems and it is governed largely by water composition and plastic polymer type. When NPs agglomerate, gravitational settling is enhanced, inhibiting NPs migration in soil and water bodies and therefore favoring NPs accumulation in sediments and on riverbeds. In this paper, the agglomeration of NPs was modeled by coupling the population balance equation (PBE) model with the extended-DLVO (XDLVO) theory. A wide range of water compositions and the effects of UV radiation were considered to provide a comprehensive analysis. Measurements of the evolution of hydrodynamic particle diameter over time in conjunction with physico-biochemical parameters of the investigated systems were taken from the literature and used to validate our calculations. Overall, the model demonstrates strong agreement with experimental measurements and successfully captures the influence of chemical and biological compounds in water, as we...

Population balance modeling coupled with extended DLVO theory to describe nanoplastic agglomeration in water

Zhang, Dong;Prigiobbe, Valentina
2025

Abstract

Agglomeration of nanoplastic particles (NPs) is a natural process in aquatic systems and it is governed largely by water composition and plastic polymer type. When NPs agglomerate, gravitational settling is enhanced, inhibiting NPs migration in soil and water bodies and therefore favoring NPs accumulation in sediments and on riverbeds. In this paper, the agglomeration of NPs was modeled by coupling the population balance equation (PBE) model with the extended-DLVO (XDLVO) theory. A wide range of water compositions and the effects of UV radiation were considered to provide a comprehensive analysis. Measurements of the evolution of hydrodynamic particle diameter over time in conjunction with physico-biochemical parameters of the investigated systems were taken from the literature and used to validate our calculations. Overall, the model demonstrates strong agreement with experimental measurements and successfully captures the influence of chemical and biological compounds in water, as we...
2025
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3553619
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