A unifying review of bioassay-guided fractionation, effect-directed analysis and related techniques

Direct coupling of thin-layer chromatography with a bioassay for the detection of estrogenic compounds: applications for effect-directed analysis

The present study investigated the hypothesis that the coupling of high-performance thin-layer chromatography with the yeast estrogen screen (planar-YES, p-YES) can be used as a screening tool for effect-directed analysis. Therefore, the proposed method was challenged for the first time with several real samples from various origins such as sediment pore water, wastewater, and sunscreens. It was possible to detect and quantify estrogenic effects in all investigated sample types, even in the presence of demanding matrixes. Furthermore, the specific agonistic effect of the estrogen receptor activation could be detected in samples exhibiting cytotoxic effects and at cytotoxic levels of analyzed estrogenic compounds, which is not possible with the classic YES. The analysis of samples by the p-YES results in profiles of estrogenic activity. By means of this profiles samples can be compared qualitatively and quantitatively with respect to different compositions of bioactive compounds in mixtures. In conclusion, the p-YES approach seems to have a high potential to be used as a valuable screening tool for various applications in effect-directed analysis.

Characterization of endocrine disruptors from a complex matrix using estrogen receptor affinity columns and high performance liquid chromatography-high resolution mass spectrometry

Complex mixtures of contaminants with potential adverse effects on human health and wildlife are found in the environment and in the food chain. These mixtures include numerous anthropogenic compounds of various origins and structures, which may behave as endocrine disruptors. Mixture's complexity is further enhanced by biotic and abiotic transformations. It is therefore necessary to develop new strategies allowing the identification of the structure of known, as well as unknown, nuclear receptor (NR) ligands present in complex matrices. We explored the possibility to use NR-based affinity columns to characterize the presence of bioactive molecules in environmental complex mixtures. Estrogen receptor α (ERα)-based affinity columns were used to trap and purify estrogenic substances present in surface sediment samples collected in a French river under mixed anthropogenic pressure. We combined biological, biochemical and analytical approaches to characterize the structure of ligands retained on columns and demonstrate the presence of known active molecules such as bisphenol A and octylphenol, but also of unexpected ERα ligands (n-butylparaben, hydroxyl-methyl-benzofuranone). High resolution mass spectrometry results demonstrate that ERα affinity columns can be used for the isolation, purification and identification of known as well as unknown estrogenic contaminants present in complex matrices.