Literature DB >> 29195208

Validation of Arxula Yeast Estrogen Screen assay for detection of estrogenic activity in water samples: Results of an international interlaboratory study.

Karina Hettwer1, Martin Jähne1, Kirstin Frost1, Martin Giersberg2, Gotthard Kunze2, Michael Trimborn3, Martin Reif3, Jochen Türk4, Linda Gehrmann4, Freddy Dardenne5, Femke De Croock5, Marion Abraham6, Anne Schoop6, Joanna J Waniek6, Thomas Bucher7, Eszter Simon7, Etienne Vermeirssen7, Anett Werner8, Karin Hellauer9, Ursula Wallentits9, Jörg E Drewes9, Detlef Dietzmann10, Edwin Routledge11, Nicola Beresford11, Tamara Zietek12, Margot Siebler12, Anne Simon13, Helena Bielak13, Henner Hollert14, Yvonne Müller14, Maike Harff14, Sabrina Schiwy14, Kirsten Simon15, Steffen Uhlig16.   

Abstract

Endocrine-active substances can adversely impact the aquatic ecosystems. A special emphasis is laid, among others, on the effects of estrogens and estrogen mimicking compounds. Effect-based screening methods like in vitro bioassays are suitable tools to detect and quantify endocrine activities of known and unknown mixtures. This study describes the validation of the Arxula-Yeast Estrogen Screen (A-YES®) assay, an effect-based method for the detection of the estrogenic potential of water and waste water. This reporter gene assay, provided in ready to use format, is based on the activation of the human estrogen receptor alpha. The user-friendly A-YES® enables inexperienced operators to rapidly become competent with the assay. Fourteen laboratories from four countries with different training levels analyzed 17β-estradiol equivalent concentrations (EEQ) in spiked and unspiked waste water effluent and surface water samples, in waste water influent and spiked salt water samples and in a mixture of three bisphenols. The limit of detection (LOD) for untreated samples was 1.8ng/L 17β-estradiol (E2). Relative repeatability and reproducibility standard deviation for samples with EEQ above the LOD (mean EEQ values between 6.3 and 20.4ng/L) ranged from 7.5 to 21.4% and 16.6 to 28.0%, respectively. Precision results are comparable to other frequently used analytical methods for estrogens. The A-YES® has been demonstrated to be an accurate, precise and robust bioassay. The results have been included in the ISO draft standard. The assay was shown to be applicable for testing of typical waste water influent, effluent and saline water. Other studies have shown that the assay can be used with enriched samples, which lower the LOD to the pg/L range. The validation of the A-YES® and the development of a corresponding international standard constitute a step further towards harmonized and reliable bioassays for the effect-based analysis of estrogens and estrogen-like compounds in water samples.
Copyright © 2017. Published by Elsevier B.V.

Entities:  

Keywords:  Effect-based monitoring tools; Estrogenicity; ISO; Interlaboratory trial; Standardization; Yeast Estrogen Screen

Mesh:

Substances:

Year:  2017        PMID: 29195208     DOI: 10.1016/j.scitotenv.2017.11.211

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Reproducibility of adipogenic responses to metabolism disrupting chemicals in the 3T3-L1 pre-adipocyte model system: An interlaboratory study.

Authors:  Christopher D Kassotis; Kate Hoffman; Johannes Völker; Yong Pu; Almudena Veiga-Lopez; Stephanie M Kim; Jennifer J Schlezinger; Patrizia Bovolin; Erika Cottone; Astrid Saraceni; Rosaria Scandiffio; Ella Atlas; Karen Leingartner; Stacey Krager; Shelley A Tischkau; Sibylle Ermler; Juliette Legler; Vesna A Chappell; Suzanne E Fenton; Fahmi Mesmar; Maria Bondesson; Mariana F Fernández; Heather M Stapleton
Journal:  Toxicology       Date:  2021-08-17       Impact factor: 4.571

Review 2.  The Swiss Ecotox Centre: bridging the gap between research and application.

Authors:  Inge Werner
Journal:  Environ Sci Eur       Date:  2018-05-16       Impact factor: 5.893

Review 3.  Substances of emerging concern in Baltic Sea water: Review on methodological advances for the environmental assessment and proposal for future monitoring.

Authors:  Marion Kanwischer; Noomi Asker; Ann-Sofie Wernersson; Marisa A Wirth; Kathrin Fisch; Elin Dahlgren; Helena Osterholz; Friederike Habedank; Michael Naumann; Jaakko Mannio; Detlef E Schulz-Bull
Journal:  Ambio       Date:  2021-10-12       Impact factor: 5.129

  3 in total

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