Estimating partitioning and transport of organic chemicals in the foliage/atmosphere system: discussion of a fugacity-based model

Riederer, Markus

doi:10.1021/es00076a006

Cited by 211 publications

(138 citation statements)

References 26 publications

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“…We found a value equal to 550 kg/m 3 . It remains in accordance with the typical values used in models for leaf wet density, which are comprised between 500 and 900 kg/m 3 (Riederer 1990, Paterson et al 1991, Bacci et al 1992, Trapp and McFarlane 1994, Maccrady and Maggard 1995.…”

Section: Model Asupporting

confidence: 83%

Integration of the Predictions of Two Models with Dose Measurements in a Case Study of Children Exposed to the Emissions from a Lead Smelter

Bonnard

McKone

2009

Human and Ecological Risk Assessment: An International Journal

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Integration of the predictions of two models with dose measurements in a case study of children exposed to the emissions of a lead smelter AbstractThe predictions of two source-to-dose models are systematically evaluated with observed data collected in a village polluted by a currently operating secondary lead smelter. Both models were built up from several sub-models linked together and run using Monte-Carlo simulation, to calculate the distribution children's blood lead levels attributable to the emissions from the facility. The first model system is composed of the CalTOX model linked to a recoded version of the IEUBK model. This system provides the distribution of the media-specific lead concentrations (air, soil, fruit, vegetables and blood) in the whole area investigated. The second model consists of a statistical model to estimate the lead deposition on the ground, a modified version of the model HHRAP and the same recoded version of the IEUBK model. This system provides an estimate of the concentration of exposure of specific individuals living in the study area. The predictions of the first model system were improved in terms of accuracy and precision by performing a sensitivity analysis and using field data to correct the default value provided for the leaf wet density. However, in this case study, the first model system tends to overestimate the exposure due to exposed vegetables. The second model was tested for nine children with contrasting exposure conditions. It managed to capture the blood levels for eight of them. In the last case, the exposure of the child by pathways not considered in the model may explain the failure of the model. The interest of this integrated model is to provide outputs with lower variance than the first model system, but at the moment further tests are necessary to conclude about its accuracy.

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Section: Model Asupporting

confidence: 83%

Integration of the Predictions of Two Models with Dose Measurements in a Case Study of Children Exposed to the Emissions from a Lead Smelter

Bonnard

McKone

2009

Human and Ecological Risk Assessment: An International Journal

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“…The aboveground biomass of our plants showed a higher amount of PCBs in leaves compared to stalks and twigs. If uptake from air (via volatilisation or atmospheric deposition) or direct soil contact was the primary pathway, the plant´s leaves would be expected to accumulate the highest concentrations of the contaminant due to their large surface area, and the lipophilic nature of plant cuticles [38]. This has been shown by Buckley (1982) to be the case for the accumulation of PCBs in maize [39].…”

Section: Concentrations Of Pcbs In Plantsmentioning

confidence: 99%

The uptake of persistent organic pollutants by plants

Kacálková

Tlustoš

2011

Open Life Sciences

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In a field experiment, the transfer of polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs) from contaminated soil to maize (Zea mays L.), sunflower (Helianthus annuus), poplar (Populus nigra × P. maximowiczii) and willow (Salix × smithiana) and the distribution of PCB congeners in maize and sunflower was investigated. The former waste incinerator in Hradec Králové (Czech Republic) was chosen for the experiment. Results of plot screening showed heterogenous contamination by PCBs and PAHs. PCB soil contamination was evidently caused by Delor 106 or Aroclor 1260 stocking and PAH contamination by chemicals containing fluoranthene, benzo/b/fluoranthene, phenanthrene and pyrene. Tested plants were planted on a contaminated field site, in soil contaminated with 1530 µg/kg of total PCBs and 0.138 and 3.42 mg/kg of total PAHs. The results show that maize and sunflower roots accumulated the most PCBs from soil. These plants accumulated hexa- and heptachlorobiphenyl congeners more than tri-, tetra-, and pentachlorobiphenyl congeners. Total concentrations of PAHs in tested plants ranged from 0.096 to 1.34 mg/kg. The highest phenanthrene concentration was found in aboveground biomass of sunflower and the highest concentration of pyrene, in maize roots.

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“…Contact of organic contaminants with aboveground vegetation (shoot) occurs through gas exchange and deposition at leaf surfaces, with the dominant pathway and kinetics dependent on the properties of the contaminant and leaf cuticle and the environmental conditions [1][2][3]. The cuticle consists of several lipid or lipid-like components including cutin, cutan, and extractable waxes that exhibit varying affinities for organic contaminants [1,4,5].…”

Section: Introductionmentioning

confidence: 99%

A review of measured bioaccumulation data on terrestrial plants for organic chemicals: Metrics, variability, and the need for standardized measurement protocols

Doucette

Shunthirasingham

Dettenmaier³

et al. 2017

Environmental Toxicology and Chemistry

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Quantifying the transfer of organic chemicals from the environment into terrestrial plants is essential for assessing human and ecological risks, using plants as environmental contamination biomonitors, and predicting phytoremediation effectiveness. Experimental data describing chemical uptake by plants are often expressed as ratios of chemical concentrations in the plant compartments of interest (e.g., leaves, shoots, roots, xylem sap) to those in the exposure medium (e.g., soil, soil porewater, hydroponic solution, air). These ratios are generally referred to as "bioconcentration factors" but have also been named for the specific plant compartment sampled, such as "root concentration factors," "leaf concentration factors," or "transpiration stream (xylem sap) concentrations factors." We reviewed over 350 articles to develop a database with 7049 entries of measured bioaccumulation data for 310 organic chemicals and 112 terrestrial plant species. Various experimental approaches have been used; therefore, interstudy comparisons and data-quality evaluations are difficult. Key exposure and plant growth conditions were often missing, and units were often unclear or not reported. The lack of comparable high-confidence data also limits model evaluation and development. Standard test protocols or, at a minimum, standard reporting guidelines for the measurement of plant uptake data are recommended to generate comparable, high-quality data that will improve mechanistic understanding of organic chemical uptake by plants. Environ Toxicol Chem 2018;37:21-33. C 2017 SETAC

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Estimating partitioning and transport of organic chemicals in the foliage/atmosphere system: discussion of a fugacity-based model

Cited by 211 publications

References 26 publications

Integration of the Predictions of Two Models with Dose Measurements in a Case Study of Children Exposed to the Emissions from a Lead Smelter

Integration of the Predictions of Two Models with Dose Measurements in a Case Study of Children Exposed to the Emissions from a Lead Smelter

The uptake of persistent organic pollutants by plants

A review of measured bioaccumulation data on terrestrial plants for organic chemicals: Metrics, variability, and the need for standardized measurement protocols

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