Bioconcentration of organic chemical vapours in plant leaves: The azalea model

Bacci, E.; Cerejeira, Maria José; Gaggi, Carlo; Chemello, G.; Calamari, D.; Vighi, Marco

doi:10.1016/0045-6535(90)90023-m

Cited by 111 publications

(88 citation statements)

References 23 publications

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“…Inaccuracy may be due to a failure of the models to adequately quantify the processes occurring or alternatively a failure of the models to consider all of the relevant processes. In the case of the mirex scenario, the tendency for model FCF estimates to be lower than experimental values could be evidence of the active uptake of mirex by azalea leaves, while for the aerial uptake of alachlor into azalea foliage scenario (27), the tendency for model FCF estimates to exceed experimental values could be explained by the metabolism of alachlor within plants. However, these represent only possible explanations; the evidence available for this study is insufficient to allow definitive conclusions to be drawn over the exact causes of differences between modeled and experimental results.…”

Section: Resultsmentioning

confidence: 96%

“…Despite the call for further research into the plant uptake of organic chemicals of Bacci et al (27), high-quality independent data sets are still required, particularly for exposure durations equivalent to entire growing seasons. A broader range of plant species need to evaluated, and the results from these species must be incorporated into model theory.…”

Section: Resultsmentioning

confidence: 99%

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Model Intercomparison for the Uptake of Organic Chemicals by Plants

Fryer

Collins

2003

Environ. Sci. Technol.

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Currently, a variety of models are available for predicting the uptake, translocation, and elimination of organic contaminants by plants. These models range from simple deterministic risk assessment screening tools to more complex models that consider physical, chemical, and biological processes in a mechanistic manner. This study evaluates the performance of a range of such models and model types against experimental data sets. Three dynamic, three regression-based, and three steady-state and equilibrium models have been selected for evaluation. These models differ in terms of their scope, methodological approach, and complexity. Data from nine published experiments were used to create scenarios to test model performance. These experiments consider plant contamination via both soil and aerial exposure pathways. A total of 19 different organic chemicals were used in the experiments along with 7 different plant species. Model predictions of chemical concentrations in the relevant plant compartments were compared with the experimentally recorded values. The results indicate that dynamic models offer performance advantages for acute exposure durations and for rapidly changing environmental media. Equilibrium/steady-state and regression-based models perform better for chronic exposure durations, where stable conditions are more likely to exist. The selection of an appropriate plant uptake model will therefore be dependent on the requirements of the assessment, the nature of the environmental media, and the duration of the source term. The results generated by the regression-based models suggest that in their current form these models are unsuitable for evaluating the uptake of organic chemicals from the air into plants.

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Section: Resultsmentioning

confidence: 96%

Section: Resultsmentioning

confidence: 99%

Model Intercomparison for the Uptake of Organic Chemicals by Plants

Fryer

Collins

2003

Environ. Sci. Technol.

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“…Somewhat similarly, the uptake of compounds in the vapor phase by plants has also been reported to be positively related to the K OW values of the compounds (36)(37). In addition, the relationship between K OW and BCF K AW in plant leaf (Azalea indica) was shown to be a linear correlation (36)(37)(38). The plot of experimental values of log K HLA against log K OW results in a regression equation as follows.…”

Section: Relationships Of Hair-air Partition Coefficients With Octanomentioning

confidence: 90%

“…Since C O C −1 A is K OA , Equations 32 and 33 become K HA = y K OA (34) K HLA = K OA (35) If logarithms are taken of both sides of these equations, they result in log K HA = log K OA + log y (36) log K HLA = log K OA (37) where y is a lipid fraction of hair. This treatment is closely related to the derivation of the relationship between K OW and K B , the bioconcentration factor with aquatic organisms (Equations 8 to 9).…”

Section: Relationships Of Hair-air Partition Coefficients With Octanomentioning

confidence: 98%

Partitioning of Polycyclic Aromatic Hydrocarbons in the Hair-Air System

Karnchanasest

Connell

Moore

et al. 2002

Polycyclic Aromatic Compounds

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Partitioning behavior of PAHs including NAP, FLO, PHE, and PYR was investigated. A plot of experimental K HA against log K OW gives a good linear relationship. A somewhat similar slope and intercept was obtained for the hair-air system using PCB values from the literature. In comparison to K VA values from the literature, lower values for K VA were obtained. This may be attributed from differences in species and degradability across biota groups. K HLA also exhibits good linear relationships with K OA and other physical chemical properties such as MW. The lipid fraction has a strong influence on bioconcentration in hair from the air and water. However, hair treatments, hair length, growth dilution, photodegradation, biodegradation, temperature, seasonal variations, wet and dry depositions could alter the degree of bioconcentration of PAHs in the hair.

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“…Firstly, the application of level 1 of a multicompartment model 1011 was performed after adding a "plant" compartment as suggested by Calamari et al 12 , using the correlation developed by Bacci et al 13 , except for the anion bentazone, for which this approach is not perfectly suitable. Secondly, a selected leaching index, derived from the "surface soil model" by Mackay 14 modified by Bacci and Gaggi 15 and recently calibrated 16 , was applied to all chemicals to identify the best leacher.…”

Section: Selection Of the Most Probable Pesticide To Reach Ground Watermentioning

confidence: 99%

Atrazine and nitrates in the drinking ground water of the Chamusca agricultural area (Portugal)

Cerejeira¹,

Silva‐Fernandes²,

Bacci

et al. 1995

Toxicological & Environmental Chemistry

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An evaluation of the potential to reach the ground water compartment of the main applied pesticides in maize fields of the Chamusca agricultural area have indicated atrazine as the most probable contaminant. The use of nitrogen fertilizers in the aforementioned irrigated area also suggested a possible presence of nitrates in ground water. Results of atrazine and nitrate levels in drinking ground water of four locations in the studied area are reported. Residues were detected in three locations and in one of them levels were found above the maximum acceptable concentrations defined by the European Community. The simultaneous presence of atrazine and nitrates in the most affected site suggests a potential health risk.

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Bioconcentration of organic chemical vapours in plant leaves: The azalea model

Cited by 111 publications

References 23 publications

Model Intercomparison for the Uptake of Organic Chemicals by Plants

Model Intercomparison for the Uptake of Organic Chemicals by Plants

Partitioning of Polycyclic Aromatic Hydrocarbons in the Hair-Air System

Atrazine and nitrates in the drinking ground water of the Chamusca agricultural area (Portugal)

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