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Marine Pollution Bulletin
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Psychoactive substances in mussels: Analysis and occurrence assessment

Authors: Ester López-García; Cristina Postigo; Miren López de Alda;

Psychoactive substances in mussels: Analysis and occurrence assessment

Abstract

This work presents an analytical methodology based on a "Quick, easy, cheap, effective, rugged, and safe" (QuEChERS) extraction and liquid chromatography-tandem mass spectrometry detection (LC-MS/MS) for the simultaneous determination of 35 psychoactive substances in fresh mussel samples. The compounds investigated include illicit drugs, new psychoactive substances, commonly prescribed psychiatric pharmaceuticals, and caffeine. The methodology was validated in terms of recovery (relative recoveries 77-118%), repeatability (relative standard deviation values <20%), and sensitivity (limits of detection and quantification <2 ng/g fresh weight (f.w.) and <6.7 ng/g f.w., respectively, for most compounds). The method was applied to the analysis of 15 samples, covering both commercially available mussels purchased from local food markets and wild fresh mussels collected in the Northeast coast of Spain in the Mediterranean Sea. Only one sample corresponding to wild mussels was found to contain 2 of the target analytes, namely, sertraline (1.5 ng/g f.w.) and caffeine, (12.8 ng/g f.w.).

Keywords

Psychotropic Drugs, Mass spectometry, Solid Phase Extraction, Antidepressants, Biota, Bivalvia, Benzodiazepines, Drug of abuse, Seafood, Spain, Tandem Mass Spectrometry, Mediterranean Sea, Animals, Water Pollutants, Chemical, Chromatography, Liquid

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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