Assessing ecotoxicity and the endocrine potential of selected phthalates, BADGE and BFDGE derivatives in relation to environmentally detectable levels

There is no doubt that the subject area of plasticmaterials (e.g., production of epoxy resins or polyesters) is inherently connected to issues concerning bisphenol A (BPA) and its analogues. Unfortunately, much less attention has been given to other compounds, which are also used for the production of these materials. Bisphenol A diglycidyl ether (BADGE) is a synthetic industrial compound obtained by a condensation reaction between epichlorohydrin (ECH) and BPA. Similarly, novolac glycidyl ether (BFDGE) is produced in the reaction between novolac and epichlorohydrin. Nevertheless, there is a lack of information on the combined effects of BADGE derivatives at environmentally relevant levels. In the current study, toxicity levels in Microtox (R) and XenoScreen YES/YAS assays were determined for several analogues alone, then the biological effects of compound pairs mixed in 33, 66 and 100% of each compounds' EC50 ratios were evaluated. The Microtox (R) test has been chosen as a relevant tool, and the results were referred to the Xenoscreen YES/YAS assay, which has been chosen for the fast determination of the endocrine potential of the compounds tested. The results obtained constitutes the basis for model studies, with Concentration Addition (CA) and Independent Action (IA), followed by Model Deviation Ratio (MDR) interpretation, to evaluate the possible interactions occurring between analytes when present in mixtures. The results indicate that the hydrochloric derivatives of BADGE and BFDGE are of the greatest toxicological and endocrine threat. Thus, their presence in mixtures under certain environmental conditions (including presence in the tissues of living organisms) should be strictly monitored and reported, especially in acidic environments. Strong evidence on the synergic behaviors of these analytes, which expressed high toxicity (EC50 2.69-117.49 mu g/mL), is demonstrated with Model Deviation Ratio (MDR). (C) 2017 Elsevier B.V. All rights reserved.