Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Stephan A. van der Heijden is active.

Publication


Featured researches published by Stephan A. van der Heijden.


Environmental Science & Technology | 2009

Evaluation of Liposome—Water Partitioning for Predicting Bioaccumulation Potential of Hydrophobic Organic Chemicals

Stephan A. van der Heijden; Michiel T. O. Jonker

Considering the importance of bioaccumulation factors (BAFs) in risk assessment of chemicals and the ethical issues and complexity of the determination of these factors in standard tests with living organisms, there is a need for alternative approaches for predicting bioaccumulation. In this study, liposome-water partitioning coefficients as determined by using solid-phase microextraction (SPME) were evaluated for the cause of assessing bioaccumulation potential of hydrophobic organic chemicals (HOCs). To this end, the SPME method was mapped (in terms of mass balance, mode of spiking, kinetics, and reproducibility) and validated against literature data. Furthermore, the robustness of liposomes as partitioning phase was investigated (in terms of chemical loading, and pH and ionic strength of the medium), and finally liposome-water partition coefficients (K(lipw)) determined for polycyclic aromatic hydrocarbons (PAHs; 4.5 < logK(ow) < 7.2) were compared with literature BAF values for several aquatic species. The results indicated that (i) SPME is a valid, fast, and reproducible method for measuring K(lipw) values; (ii) liposomes provide a very robust partitioning phase; and (iii) K(lipw) values agreed very well with literature PAH BAF values. SPME-derived K(lipw) values therefore seem a very promising predictor of bioaccumulation potential of HOCs. By including model- or in vitro-derived biotransformation rates, bioaccumulation potential estimates might be converted into surrogate BAFs, thereby extending the applicability of K(lipw) values to metabolizable chemicals and species with more advanced biotransformation capacity.


Environmental Science & Technology | 2014

Partitioning of Polychlorinated Biphenyls into Human Cells and Adipose Tissues: Evaluation of Octanol, Triolein, and Liposomes as Surrogates

Cristina L. Quinn; Stephan A. van der Heijden; Frank Wania; Michiel T. O. Jonker

Whereas octanol, triacylglycerides, and liposomes have all been proposed as surrogates for measuring the affinity of hydrophobic organic contaminants to human lipids, no comparative evaluation of their suitability exists. Here we conducted batch sorption experiments with polyoxymethylene passive samplers to determine the partition coefficients at 37 °C of 18 polychlorinated biphenyls (PCBs) from water into (i) triolein (Ktriolein/water), (ii) eight types of liposomes (Kliposome/water), (iii) human abdominal fat tissues (KAFT/water) from seven individuals, and (iv) human MCF-7 cells cultured in vitro (Kcell/water). Differences between KAFT/water among individuals and between Kliposome/water among liposome types were very small and not correlated to structural attributes of the PCBs. Similarly, the length and degree of saturation of the phospholipid carbon chains, the headgroup, and the composition of the liposome did not affect the partitioning of PCBs into the studied liposomes. Whereas Kliposome/water values were similar to literature values of Koctanol/water adjusted to 37 °C, they both were lower than KAFT/water and Kcell/water by a factor of 3 on average. Partitioning of PCBs into triolein on the other hand closely mimicked that into human lipids, for which triolein is thus a better surrogate than either octanol or liposomes. Previously published polyparameter linear free energy relationships for partitioning from water into storage lipids and liposomes predicted the measured partition coefficients with a root-mean-square error of less than 0.15 log units, if the chosen equations and solute descriptors do not allow chlorine substitution in the ortho-position to influence the prediction. By guiding the selection of (i) a surrogate for the experimental determination and (ii) a method for the prediction of partitioning into human lipids, this study contributes to a better assessment of hydrophobic organic contaminant bioaccumulation in humans.


Environmental Science & Technology | 2009

PAH bioavailability in field sediments: comparing different methods for predicting in situ bioaccumulation.

Stephan A. van der Heijden; Michiel T. O. Jonker


Environmental Science & Technology | 2007

Predicting PAH bioaccumulation and toxicity in earthworms exposed to manufactured gas plant soils with solid-phase microextraction

Michiel T. O. Jonker; Stephan A. van der Heijden; Joseph P. Kreitinger; Steven B. Hawthorne


Environmental Science & Technology | 2007

Bioconcentration Factor Hydrophobicity Cutoff: An Artificial Phenomenon Reconstructed

Michiel T. O. Jonker; Stephan A. van der Heijden


Analytical Chemistry | 2011

Measuring picogram per liter concentrations of freely dissolved parent and alkyl PAHs (PAH-34), using passive sampling with polyoxymethylene.

Steven B. Hawthorne; Michiel T. O. Jonker; Stephan A. van der Heijden; Carol B. Grabanski; Nicholas A. Azzolina; David J. Miller


Environmental Science & Technology | 2011

Intra- and Interspecies Variation in Bioconcentration Potential of Polychlorinated Biphenyls: Are All Lipids Equal?

Stephan A. van der Heijden; Michiel T. O. Jonker


Environmental Science & Technology | 2015

Determining High-Quality Critical Body Residues for Multiple Species and Chemicals by Applying Improved Experimental Design and Data Interpretation Concepts

Stephan A. van der Heijden; Joop L. M. Hermens; Theo L. Sinnige; Philipp Mayer; Dorothea Gilbert; Michiel T. O. Jonker


Environmental Science & Technology | 2015

Quantifying the Effects of Temperature and Salinity on Partitioning of Hydrophobic Organic Chemicals to Silicone Rubber Passive Samplers

Michiel T. O. Jonker; Stephan A. van der Heijden; Marcel Kotte; Foppe Smedes


Environmental Science & Technology | 2008

Response to “Comment on ‘Bioconcentration Factor Hydrophobicity Cutoff: An Artificial Phenomenon Reconstructed’”

Michiel T. O. Jonker; Stephan A. van der Heijden

Collaboration


Dive into the Stephan A. van der Heijden's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Philipp Mayer

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge