Modelling bioaccumulation of semi-volatile organic compounds (SOCs) from air in plants based on allometric principles

A model was developed for gaseous plant–air exchange of semi-volatile organic compounds. Based on previous soil–plant modelling, uptake and elimination kinetics were scaled as a function of plant mass and octanol–air partition ratios. Exchange of chemicals was assumed to be limited by resistances en...

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Bibliographic Details
Published in:Chemosphere (Oxford) 2009-10, Vol.77 (6), p.727-732
Main Authors: Steyaert, Nils L.L., Hauck, Mara, Van Hulle, Stijn W.H., Jan Hendriks, A.
Format: Article
Language:English
Subjects:
accuracy
Air Pollutants - chemistry
Applied sciences
Atmospheric deposition
benzene
bioaccumulation
Body mass
cell membranes
chlorobenzenes
diffusion
dry matter accumulation
Environmental Monitoring
Exact sciences and technology
gas exchange
Gases - chemistry
Kinetics
leaves
Mathematical models
Modelling
Models, Biological
Models, Chemical
octanol
Octanols - chemistry
Organic compounds
Partitions
Persistent organic pollutants
pesticides
plant cuticle
Plant Leaves - chemistry
plant-atmosphere relations
plants
Plants (organisms)
Plants - chemistry
Pollution
polychlorinated biphenyls
Rate constants
simulation models
species differences
uptake mechanisms
Uptakes
volatile organic compounds
Volatile Organic Compounds - chemistry
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Summary:A model was developed for gaseous plant–air exchange of semi-volatile organic compounds. Based on previous soil–plant modelling, uptake and elimination kinetics were scaled as a function of plant mass and octanol–air partition ratios. Exchange of chemicals was assumed to be limited by resistances encountered during diffusion through a laminar boundary layer of air and permeation through the cuticle of the leaf. The uptake rate constant increased and the elimination rate constant decreased with the octanol–air partition ratio both apparently levelling off at high values. Differences in kinetics between species could be explained by their masses. Validation on independent data showed that bio-concentration factors of PCBs, chlorobenzenes and other chemicals were predicted well by the model. For pesticides, polycyclic aromatic hydrocarbons and dioxins deviations occurred.
ISSN:0045-6535
1879-1298
DOI:10.1016/j.chemosphere.2009.08.032