Stephan A. van der Heijden
Utrecht University
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Featured researches published by Stephan A. van der Heijden.
Environmental Science & Technology | 2009
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
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
Stephan A. van der Heijden; Michiel T. O. Jonker
Environmental Science & Technology | 2007
Michiel T. O. Jonker; Stephan A. van der Heijden; Joseph P. Kreitinger; Steven B. Hawthorne
Environmental Science & Technology | 2007
Michiel T. O. Jonker; Stephan A. van der Heijden
Analytical Chemistry | 2011
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
Stephan A. van der Heijden; Michiel T. O. Jonker
Environmental Science & Technology | 2015
Stephan A. van der Heijden; Joop L. M. Hermens; Theo L. Sinnige; Philipp Mayer; Dorothea Gilbert; Michiel T. O. Jonker
Environmental Science & Technology | 2015
Michiel T. O. Jonker; Stephan A. van der Heijden; Marcel Kotte; Foppe Smedes
Environmental Science & Technology | 2008
Michiel T. O. Jonker; Stephan A. van der Heijden