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Improved prediction of the bioconcentration factors of organic contaminants from soils into plant/crop roots by related physicochemical parameters.
Li, Yuanbo; Chiou, Cary T; Li, Hui; Schnoor, Jerald L.
Afiliação
  • Li Y; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, United States of America.
  • Chiou CT; Department of Environmental Engineering, National Cheng Kung University, Tainan 70701, Taiwan. Electronic address: carychio@mail.ncku.edu.tw.
  • Li H; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, United States of America.
  • Schnoor JL; Department of Civil and Environmental Engineering, The University of Iowa, Iowa City, IA 52242, United States of America.
Environ Int ; 126: 46-53, 2019 05.
Article em En | MEDLINE | ID: mdl-30776749
ABSTRACT
There has been an on-going pursuit for relations between the levels of chemicals in plants/crops and the source levels in soil or water in order to address impacts of toxic substances on human health and ecological quality. In this research, we applied the quasi-equilibrium partition model to analyze the relations for nonionic organic contaminants between plant/crop roots and external soil/water media. The model relates the in-situ root concentration factors of chemicals from external water into plant/crop roots (RCF(water)) with the system physicochemical parameters and the chemical quasi-equilibrium states with plant/crop roots (αpt, ≤1). With known RCF(water) values, root lipid contents (flip), and octanol-water Kow's, the chemical-plant αpt values and their ranges of variation at given flipKow could be calculated. Because of the inherent relation between αpt and flipKow, a highly distinct correlation emerges between log RCF(water) and log flipKow (R2 = 0.825; n = 368), with the supporting data drawn from 19 disparate soil-plant studies covering some 6 orders of magnitude in flipKow and 4 orders of magnitude in RCF(water). This correlation performs far better than any relationship previously developed for predicting the contamination levels of pesticides and toxic organic chemicals in plant/crop roots for assessing risks on food safety.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Compostos Orgânicos / Solo / Poluentes do Solo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Compostos Orgânicos / Solo / Poluentes do Solo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article