Hazard screening of photo-transformation products from pharmaceuticals: Application to selective β1-blockers atenolol and metoprolol

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Hazard screening of photo-transformation products from pharmaceuticals: Application to selective β1-blockers atenolol and metoprolol. / Toolaram, Anju Priya; Menz, Jakob; Rastogi, Tushar et al.
in: The Science of The Total Environment, Jahrgang 579, 01.02.2017, S. 1769-1780.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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@article{784393800ff2493dbb1c3a794654c693,
title = "Hazard screening of photo-transformation products from pharmaceuticals: Application to selective β1-blockers atenolol and metoprolol",
abstract = "The identification of toxic components in cocktail mixtures of pollutants, their metabolites and transformation products (TPs) generated from environmental and treatment processes remains an arduous task. This study expanded in this area by applying a combination of chemical analytics, a battery of in vitro bioassays and an in silico {"}testing battery{"} to UV photolysis mixtures of active pharmaceutical ingredients. The objectives were to understand the toxic nature of the mixtures and to prioritize photo-TPs for risk analysis. The selective β1-blockers Atenolol (ATL) and Metoprolol (MTL) that are ubiquitous in the aquatic environment were used as an example. The photolysis mixtures were cytotoxic to Vibrio fischeri and mammalian cells but not mutagenic in the Ames test or genotoxic in the in vitro micronucleus and umu tests. Potentially hazardous TPs were proposed by relating the observed effects to the kinetics of TP occurrence and applying in silico toxicity predictions for individual photo-TPs. This model study was done to identify principal mechanisms rather than accurately simulating environmental transformation processes. Several photo-TPs were proposed to present a greater hazard than the selected β-blockers and therefore fate and toxicity assessments may be required to determine their environmental relevance.",
keywords = "Chemistry, Effect based analysis, Emerging contaminants, Mixture toxicity, Quantitative structure-activity relationship (QSAR), Risk assessment",
author = "Toolaram, {Anju Priya} and Jakob Menz and Tushar Rastogi and Christoph Leder and Klaus K{\"u}mmerer and Mandy Schneider",
note = "Copyright {\textcopyright} 2016 Elsevier B.V. All rights reserved.",
year = "2017",
month = feb,
day = "1",
doi = "10.1016/j.scitotenv.2016.10.242",
language = "English",
volume = "579",
pages = "1769--1780",
journal = "The Science of The Total Environment",
issn = "0048-9697",
publisher = "Elsevier B.V.",

}

RIS

TY - JOUR

T1 - Hazard screening of photo-transformation products from pharmaceuticals

T2 - Application to selective β1-blockers atenolol and metoprolol

AU - Toolaram, Anju Priya

AU - Menz, Jakob

AU - Rastogi, Tushar

AU - Leder, Christoph

AU - Kümmerer, Klaus

AU - Schneider, Mandy

N1 - Copyright © 2016 Elsevier B.V. All rights reserved.

PY - 2017/2/1

Y1 - 2017/2/1

N2 - The identification of toxic components in cocktail mixtures of pollutants, their metabolites and transformation products (TPs) generated from environmental and treatment processes remains an arduous task. This study expanded in this area by applying a combination of chemical analytics, a battery of in vitro bioassays and an in silico "testing battery" to UV photolysis mixtures of active pharmaceutical ingredients. The objectives were to understand the toxic nature of the mixtures and to prioritize photo-TPs for risk analysis. The selective β1-blockers Atenolol (ATL) and Metoprolol (MTL) that are ubiquitous in the aquatic environment were used as an example. The photolysis mixtures were cytotoxic to Vibrio fischeri and mammalian cells but not mutagenic in the Ames test or genotoxic in the in vitro micronucleus and umu tests. Potentially hazardous TPs were proposed by relating the observed effects to the kinetics of TP occurrence and applying in silico toxicity predictions for individual photo-TPs. This model study was done to identify principal mechanisms rather than accurately simulating environmental transformation processes. Several photo-TPs were proposed to present a greater hazard than the selected β-blockers and therefore fate and toxicity assessments may be required to determine their environmental relevance.

AB - The identification of toxic components in cocktail mixtures of pollutants, their metabolites and transformation products (TPs) generated from environmental and treatment processes remains an arduous task. This study expanded in this area by applying a combination of chemical analytics, a battery of in vitro bioassays and an in silico "testing battery" to UV photolysis mixtures of active pharmaceutical ingredients. The objectives were to understand the toxic nature of the mixtures and to prioritize photo-TPs for risk analysis. The selective β1-blockers Atenolol (ATL) and Metoprolol (MTL) that are ubiquitous in the aquatic environment were used as an example. The photolysis mixtures were cytotoxic to Vibrio fischeri and mammalian cells but not mutagenic in the Ames test or genotoxic in the in vitro micronucleus and umu tests. Potentially hazardous TPs were proposed by relating the observed effects to the kinetics of TP occurrence and applying in silico toxicity predictions for individual photo-TPs. This model study was done to identify principal mechanisms rather than accurately simulating environmental transformation processes. Several photo-TPs were proposed to present a greater hazard than the selected β-blockers and therefore fate and toxicity assessments may be required to determine their environmental relevance.

KW - Chemistry

KW - Effect based analysis

KW - Emerging contaminants

KW - Mixture toxicity

KW - Quantitative structure-activity relationship (QSAR)

KW - Risk assessment

U2 - 10.1016/j.scitotenv.2016.10.242

DO - 10.1016/j.scitotenv.2016.10.242

M3 - Journal articles

C2 - 27939084

VL - 579

SP - 1769

EP - 1780

JO - The Science of The Total Environment

JF - The Science of The Total Environment

SN - 0048-9697

ER -

DOI

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