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Modeling sorption of environmental organic chemicals from water to soils.
Zhang, Zhizhen; Wang, Shenghong; Brown, Trevor N; Sangion, Alessandro; Arnot, Jon A; Li, Li.
Afiliação
  • Zhang Z; School of Public Health, University of Nevada, 1664, N. Virginia Street, Reno, NV 89557-274, United States.
  • Wang S; School of Public Health, University of Nevada, 1664, N. Virginia Street, Reno, NV 89557-274, United States.
  • Brown TN; ARC Arnot Research & Consulting, Toronto, Ontario M4M 1W4, Canada.
  • Sangion A; ARC Arnot Research & Consulting, Toronto, Ontario M4M 1W4, Canada.
  • Arnot JA; ARC Arnot Research & Consulting, Toronto, Ontario M4M 1W4, Canada.
  • Li L; Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario M1C 1A4, Canada.
Water Res X ; 22: 100219, 2024 Jan 01.
Article em En | MEDLINE | ID: mdl-38596456
ABSTRACT
Reliable estimation of chemical sorption from water to solid phases is an essential prerequisite for reasonable assessments of chemical hazards and risks. However, current fate and exposure models mostly rely on algorithms that lack the capability to quantify chemical sorption resulting from interactions with multiple soil constituents, including amorphous organic matter, carbonaceous organic matter, and mineral matter. Here, we introduce a novel, generic approach that explicitly combines the gravimetric composition of various solid constituents and poly-parameter linear free energy relationships to calculate the solid-water sorption coefficient (Kd) for non-ionizable or predominantly neutral organic chemicals with diverse properties in a neutral environment. Our approach demonstrates an overall statistical uncertainty of approximately 0.9 log units associated with predictions for different types of soil. By applying this approach to estimate the sorption of 70 diverse chemicals from water to two types of soils, we uncover that different chemicals predominantly exhibit sorption onto different soil constituents. Moreover, we provide mechanistic insights into the limitation of relying solely on organic carbon normalized sorption coefficient (KOC) in chemical hazard assessment, as the measured KOC can vary significantly across different soil types, and therefore, a universal cut-off threshold may not be appropriate. This research highlights the importance of considering chemical properties and multiple solid constituents in sorption modeling and offers a valuable theoretical approach for improved chemical hazard and exposure assessments.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article