Allometry in the Uptake of Hydrophobic Chemicals Determined in Vivo and in Isolated Perfused Gills

Sijm, Dick T.H.M.; Verberne, Marlies E.; Jonge, Wouter J. de; Pärt, Peter; Opperhuizen, A.

doi:10.1006/taap.1995.1054

Cited by 39 publications

(45 citation statements)

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“…The variation in estimated rate constants for chemical intake from water decreases with increasing K OW because the lipid layer resistance decreases. A shift in the importance from the lipid-layer resistance to the water-layer resistance from a K OW of approximately 10 5 has been observed by others [1, [50][51][52].…”

Section: Contribution To Variancementioning

confidence: 60%

Parameter uncertainty in modeling bioaccumulation factors of fish

Hauck

Hendriks

Huijbregts

et al. 2011

Enviro Toxic and Chemistry

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We quantified the uncertainty due to biota-related parameters in estimated bioaccumulation factors (BAFs) of persistent organic pollutants for fish through Monte Carlo simulations. For this purpose, the bioaccumulation model OMEGA (Optimal Modeling for EcotoxicoloGical Applications) was parameterized based on data from the existing literature, analysis of allometric data, and maximum likelihood estimation. Lipid contents, fractions of food assimilated, the allometric rate exponent, normalized food intakes, respiration and growth dilution rates, and partial mass transfer resistances in water and lipid layers were included as uncertain parameters. The uncertainty in partial resistances was particularly important in the estimation of the rate constants for chemical intake from water by fish. Uncertainties in the fractions of food assimilated and partial water layer resistances from and to food were particularly important in the estimation of the rate constants of chemical intake from food. The uncertainty in the model outcomes for the bioaccumulation factors for fish was a factor of 10 (ratio of 95th and fifth percentile estimates), which was mainly caused by the uncertainty in the lipid fraction. For chemicals with a K(OW) of 10(3) to 10(6), the uncertainty in the lipid contents of fish accounted for more than 50% of the uncertainty in the estimated bioaccumulation factor. For chemicals with a high K(OW) (10(7) and higher), the fractions of food assimilated and partial resistances also contributed to uncertainty in the estimated bioaccumulation factor (up to 60%). A case study showed that uncertainty in estimated BAF for nonpersistent substances can be dominated by uncertainty in the rate constants for metabolic transformation.

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Section: Contribution To Variancementioning

confidence: 60%

Parameter uncertainty in modeling bioaccumulation factors of fish

Hauck

Hendriks

Huijbregts

et al. 2011

Enviro Toxic and Chemistry

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“…Since the elimination rate is also proportional to the tissue concentration, thus to the amount per volume, it is proportional to the ratio of the surface area to the volume, thus inversely proportional to the volumetric length. This is why the elimination rate must be divided by a scaled length if the body size changes, as has been experimentally verified [841,844]. The change in scaled tissue concentration c V is given by…”

Section: Energetics Affects Toxicokinetics 631 Dilution By Growthmentioning

confidence: 96%

Dynamic Energy and Mass Budgets in Biological Systems

Kooijman

2000

793

1,202

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second editionDynamic Energy Budget theory unifies the commonalities between organisms as prescribed by the implications of energetics, which link different levels of biological organization (cells, organisms and populations). The theory presents simple mechanistic rules that describe the uptake and use of energy and nutrients and the consequences for physiological organization throughout an organism's life cycle, including the relationships between energetics and aging and the effects of toxicants. In this new edition, the theory is broadened to encompass the fluxes of both energy and mass. All living organisms are now covered in a single quantitative framework, the predictions of which are tested against a wide variety of experimental results at the various levels of biological organization. The theory explains many general observations, such as the body size scaling relationships of certain physiological traits, and provides a theoretical basis for the widely used method of indirect calorimetry. In each case, the theory is developed in elementary mathematical terms, but a more detailed discussion of the methodological aspects of mathematical modelling is also included, making the book suitable for biologists and mathematicians with a broad interest in both fundamental and applied quantitative problems in biology.Bas Kooijman is Professor of Applied Theoretical Biology at the Vrije Universiteit in Amsterdam and is also head of the University's Department of Theoretical Biology. His research focuses on mathematical biology, in particular ecotoxicology which provided the framework for the original version of his Dynamic Energy Budget theory published in 1993 (Dynamic Energy Budgets in Biological Systems -Theory and Applications in Ecotoxicology). From the first edition:"This book is an excellent scientific product that informs and forces contemplation of issues relating to population and community ecology. The author has made a complex subject coherent." Thomas G. Hallam, Bulletin of Mathematical Biology "... a very useful and general tool to select more ecologically sound process equations and parameters in ecological models." Sven Erik Jørgensen, Ecological Modelling "The author has made a significant contribution to the problem of modelling the dynamics of biological populations at the level of the individual by synthesizing this very complicated subject into a relatively short list of general assumptions and putting the energetics of sub-models for vital rates on a solid basis." Jim Cushing, Mathematical Biosciences "The family of idealized models offered in this book is capable of playing a role analogous to that of Lotka-Volterra models in population dynamics ... I am confident that any model(s) capable of occupying this niche will be strongly influenced by the ideas in this book." Roger Nisbet, Ecology 9 LIVING TOGETHER Interaction between organisms: The spectrum from competition to preypredator systems. Evaluation of the consequences of the DEB model for population dynamics, food chains, and communities....

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“…Both uptake and elimination rate constants are thus (allometric) functions of the weight of an organism [26,[28][29][30][31]. For metals there is no clear relationship between a physicochemical parameter and either the uptake rate constant, the elimination rate constant, or the BCF.…”

Section: Bioconcentration Modelsmentioning

confidence: 97%

“…Uptake rate constants for hydrophobic chemicals in guppy (0.1 g) are usually around 1000 L/(kg·d), while those in large rainbow trout (750 g) are around 50 L/(kg·d). The following allometric relationship between fish weight (W in g) and uptake rate constant was derived for hydrophobic organic chemicals with a log K ow > 3 [28]:…”

Section: Bioconcentration Modelsmentioning

confidence: 99%