Details zur Publikation

Referenztyp Zeitschriften
DOI / URL Link
Titel (primär) Partitioning of organic ions to muscle protein: experimental data, modeling, and implications for in vivo distribution of organic ions
Autor Henneberger, L.; Goss, K.-U.; Endo, S.;
Journal / Serie Environmental Science & Technology
Erscheinungsjahr 2016
Department AUC; ZELLTOX;
Band/Volume 50
Heft 13
Sprache englisch;
POF III (gesamt) T42;
UFZ Querschnittsthemen RU3;
Abstract The in vivo partitioning behavior of ionogenic organic chemicals (IOCs) is of paramount importance for their toxicokinetics and bioaccumulation. Among other proteins, structural proteins including muscle proteins could be an important sorption phase for IOCs, because of their high quantity in the human and other animals’ body and their polar nature. Binding data for IOCs to structural proteins are, however, severely limited. Therefore, in this study muscle protein–water partition coefficients (KMP/w) of 51 systematically selected organic anions and cations were determined experimentally. A comparison of the measured KMP/w with bovine serum albumin (BSA)–water partition coefficients showed that anionic chemicals sorb more strongly to BSA than to muscle protein (by up to 3.5 orders of magnitude), while cations sorb similarly to both proteins. Sorption isotherms of selected IOCs to muscle protein are linear (i.e., KMP/w is concentration independent), and KMP/w is only marginally influenced by pH value and salt concentration. Using the obtained data set of KMP/w a polyparameter linear free energy relationship (PP-LFER) model was established. The derived equation fits the data well (R2 = 0.89, RMSE = 0.29). Finally, it was demonstrated that the in vitro measured KMP/w values of this study have the potential to be used to evaluate tissue-plasma partitioning of IOCs in vivo.
ID 17705
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=17705
Henneberger, L., Goss, K.-U., Endo, S. (2016):
Partitioning of organic ions to muscle protein: experimental data, modeling, and implications for in vivo distribution of organic ions
Environ. Sci. Technol. 50 (13), 7029 - 7036