68 research outputs found
The read-across hypothesis and environmental risk assessment of pharmaceuticals
This article is made available through the Brunel Open Access Publishing Fund. Copyright © 2013 American Chemical Society.Pharmaceuticals in the environment have received increased attention over the past decade, as they are ubiquitous in rivers and waterways. Concentrations are in sub-ng to low μg/L, well below acute toxic levels, but there are uncertainties regarding the effects of chronic exposures and there is a need to prioritise which pharmaceuticals may be of concern. The read-across hypothesis stipulates that a drug will have an effect in non-target organisms only if the molecular targets such as receptors and enzymes have been conserved, resulting in a (specific) pharmacological effect only if plasma concentrations are similar to human therapeutic concentrations. If this holds true for different classes of pharmaceuticals, it should be possible to predict the potential environmental impact from information obtained during the drug development process. This paper critically reviews the evidence for read-across, and finds that few studies include plasma concentrations and mode of action based effects. Thus, despite a large number of apparently relevant papers and a general acceptance of the hypothesis, there is an absence of documented evidence. There is a need for large-scale studies to generate robust data for testing the read-across hypothesis and developing predictive models, the only feasible approach to protecting the environment.BBSRC Industrial Partnership Award BB/
I00646X/1 and BBSRC Industrial CASE Partnership Studentship
BB/I53257X/1 with AstraZeneca Safety Health and
Environment Research Programme
Elucidation of transformation pathway of ketoprofen, ibuprofen, and furosemide in surface water and their occurrence in the aqueous environment using UHPLC-QTOF-MS
Screening for ecotoxicological effects of antiepileptic drugs in biologically treated waste water originating from an epilepsy ward by Danio rerio embryos
Second interlaboratory exercise on non-steroidal anti-inflammatory drug analysis in environmental aqueous samples
Several interlaboratory exercises were organised within the framework of European FP6 project NORMAN.
Among others, non-steroidal anti-inflammatory drugs were investigated in different aqueous
samples in two sequential ring studies. The aim of both studies was to evaluate the state-of-art in Europe
and to determine possible sources of variation, while also attempting to diminish them. In the present
paper we discuss the results of the 2nd Interlaboratory study, while the results of 1st round were presented
before. The main scope of the 1st exercise organised within NORMAN project was to assess the
laboratory proficiency regardless of the analytical method applied, to evaluate the stability of the target
compounds during sample storage, and to define possible sources of variation during sample shipment,
storage and analysis. In the 2nd round we primarily aimed to diminish these sources of variation by
applying two predetermined analytical protocols based on liquid chromatography¿mass spectrometry
or gas chromatography¿mass spectrometry. The two analytical protocols were compared in terms of their
ability to determine individual analytes in matrices of different complexity, i.e. tap water, river water and
wastewater. Furthermore, the 2nd exercise addressed also the filtration and compared the influence of
different filter material categories on the analysis of non-steroidal anti-inflammatory drugs.
Results presented herein evaluate laboratory performance using z-score, bias, proximity and Youden
plots. Overall, the laboratory performances were found to be satisfactory for determining NSAIDs in aqueous
samples. The two analytical protocols, LC¿MS and GC¿MS, are assessed according to their sensitivity
and measurement uncertainty, where the GC¿MS proved superior for the analysis of Ibuprofen, Ketoprofen
and Naproxen in matrices with higher complexity. Finally, neither the filtration itself, nor the filter
materials were shown to significantly affect the determination of NSAIDs.JRC.H.1-Water Resource
First interlaboratory exercise on non-steroidal anti-inflammatory drugs analysis in environmental samples
Comparability of monitoring data are essential for any meaningful assessment and for the management of environmental risks of emerging pollutants. The reliability and comparability of data at European level is often limited, because analytical methods for emerging pollutants are often not fully validated, not harmonized or not suitable for all relevant matrices. This paper describes a collaborative interlaboratory exercise for the analysis of non-steroidal anti-inflammatory drugs (NSAIDs) residues in freshwater and wastewater, held in the framework of the EU project "Network of reference laboratories for monitoring of emerging environmental pollutants" (NORMAN). The NSAID compounds selected in this study were ketoprofen, naproxen, ibuprofen and diclofenac. Thirteen laboratories distributed along nine European Countries (Austria, France, Germany, Greece, Italy, Slovak Republic, Slovenia, Spain, and Switzerland) took part in this exercise, 126 samples were analyzed and a total number of 473 values in duplicate were collected. Samples selected in this study include environmental water (river water and waste water) and artificial water (fortified environmental and distilled water) with different ranges of complexity. Two analytical methods were proposed by the organiser; one is based on the use of solid phase extraction (SPE) followed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and the second one is based on SPE followed by gas-chromatography-mass spectrometry (GC-MS), however, in the first round some different approaches were also admitted. The main goals of this interlaboratory comparison were to evaluate the available analytical schemes for NSAID analysis in natural waters, to evaluate the repeatability (r) and reproducibility (R) between participating laboratories, and to evaluate the influence of the analytical method and sample matrices on the results. (C) 2008 Elsevier B.V. All rights reserved
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