A new analytical method to determine trace level concentrations of pharmaceuticals in influent wastewater: a tool to monitor human use patterns
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Elsevier
Abstract
The occurrence of pharmaceuticals in influent wastewater samples (IWW) is a recurrent issue. The monitoring of their presence is not only valuable from an environmental point of view, but also as a tool to analyze patterns of human use by the so-called wastewater-based epidemiology. The development of an analytical method based on solid-phase extraction followed by liquid chromatography coupled to tandem mass spectrometry to monitor the occurrence of a group of seventeen pharmaceuticals including the most representative for various therapeutic families in IWW samples is described in this work. The samples were collected during a monitoring week in six wastewater treatment plants located in different cities and towns across Spain. The developed method provides acceptable figures of merit with apparent recoveries in IWW ranging from 42% to 139%, and low matrix effect (in general lower than ± 30%), and method quantification limits (MQL) between 1 ng/L and 24 ng/L for all compounds, except atenolol (58 ng/L). All the studied pharmaceuticals were found in all samples with concentrations ranging from < MQL to 10,393 ng/L, being the highest concentrations for tramadol. The population normalized daily loads revealed that the use of pharmaceuticals follows, in general, a similar pattern in all cities monitored.
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N. Fontanals et al. Microchemical Journal 193 (2023) 109131
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https://doi.org/10.1016/j.microc.2023.109131Sponsors
The authors would like to thank the Ministerio de Ciencia e Innovación and the Agencia Estatal de Investigación, MCIN/AEI/10.13039/501100011033, for granting the projects PID2020-114587GB-I00, PID2020-117686RB-C32 and PID2020-117686RB-C33, and the Ministerio de Sanidad on account of the Spanish Plan Nacional Sobre Drogas (2020I009) for their financial support. Talented Researcher Support Programme – PlanGenT (CIDEGENT/2020/043) of the Generalitat Valenciana and Economy and Knowledge Department of the Catalan Government through the Consolidated Research Group (ICRA-ENV – 2021 SGR 01282) is also acknowledged.
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© 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).








