464
Views
26
CrossRef citations to date
0
Altmetric
Original Articles

Determination of Estrogenic Endocrine Disruptors in Environmental Samples—A Review of Chromatographic Methods

, &
Pages 194-201 | Published online: 02 Aug 2010
 

Abstract

Natural and synthetic estrogens are characterized by the largest endocrine disrupting potential, as confirmed by both in vitro and in vivo studies. Estrogens have been detected in a large fraction of samples (50–95%) of purified wastewaters introduced to natural water bodies. Their presence in drinking water has also been reported. Thus, there is an urgent need to introduce or modify the legislation regulating the production of meat with the use of feed containing hormonal supplements, the use of compounds with proven endocrine disrupting activity in the industry, the circulation and purification of wastewaters, as well as monitoring of EDCs in the environment. The latter requires that proper methodologies are developed and validated. Determination of Endocrine Disrupting Compounds (EDCs) in biological samples (blood, urine) is often based on bioanalytical techniques (YES, ELISA, E-Screen). Speciation analysis, both qualitative and quantitative, usually employs chromatographic techniques at the stage of the final determination, especially for samples with aqueous matrices.

ACKNOWLEDGMENTS

This work has been financially supported in the formwork of grant attributed by Polish Ministry of Science and High Education.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 451.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.