Journal article
Improved prediction of the bioconcentration factors of organic contaminants from soils into plant/crop roots by related physicochemical parameters
Environment international, Vol.126, pp.46-53
05/2019
DOI: 10.1016/j.envint.2019.02.020
PMCID: PMC6931905
PMID: 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.
Details
- Title: Subtitle
- Improved prediction of the bioconcentration factors of organic contaminants from soils into plant/crop roots by related physicochemical parameters
- Creators
- Yuanbo LiCary T ChiouHui LiJerald L Schnoor
- Resource Type
- Journal article
- Publication Details
- Environment international, Vol.126, pp.46-53
- DOI
- 10.1016/j.envint.2019.02.020
- PMID
- 30776749
- PMCID
- PMC6931905
- NLM abbreviation
- Environ Int
- ISSN
- 0160-4120
- eISSN
- 1873-6750
- Grant note
- DOI: 10.13039/501100007750, name: National Cheng Kung University, award: D105-33B05; DOI: 10.13039/100000199, name: USDA, award: 2016-67017-24514; DOI: 10.13039/100000066, name: NIEHS, award: P42ES013661
- Language
- English
- Date published
- 05/2019
- Academic Unit
- Civil and Environmental Engineering; Occupational and Environmental Health; Iowa Superfund Research Program
- Record Identifier
- 9983997967502771
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