Simultaneous determination of 42 pharmaceuticals in seafood samples by solvent extraction coupled to liquid chromatography-tandem mass spectrometry.


Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
30 Aug 2020
Historique:
received: 17 06 2019
revised: 25 09 2019
accepted: 06 04 2020
pubmed: 21 4 2020
medline: 25 7 2020
entrez: 21 4 2020
Statut: ppublish

Résumé

An efficient and sensitive analytical method based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) has been developed and validated for the simultaneous determination of 42 pharmaceuticals belonging to different therapeutic classes (i.e. antibiotics, analgesics, anti-inflammatories, cardiovascular agents, anxiolytics and human indicators) in seafood samples. The very simple sample preparation included analytes extraction with acidified methanol, concentration by evaporation and filtration of the final extract prior to LC-MS/MS analysis. Analytical performances were evaluated in muscles of four commercial species (hake, red mullet, sole and shrimp) and showed good recoveries at two spiked concentration levels, with relative standard deviations below 45%. Limits of quantification ranged from 0.1 to 40.2 ng/g. This procedure has been successfully applied to the determination of the target analytes in seafood collected from the Bay of Biscay (Southern France) and 4 of these 42 pharmaceuticals were detected at low ng/g levels, suggesting a very limited contamination.

Identifiants

pubmed: 32311620
pii: S0308-8146(20)30627-0
doi: 10.1016/j.foodchem.2020.126765
pii:
doi:

Substances chimiques

Pharmaceutical Preparations 0
Solvents 0
Water Pollutants, Chemical 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

126765

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Carole Miossec (C)

Université de Pau et des Pays de l'Adour, E2S UPPA,CNRS, IPREM, MIRA, UMR 5254, Anglet, France. Electronic address: carole.miossec@univ-pau.fr.

Tiphaine Mille (T)

Université de Pau et des Pays de l'Adour, E2S UPPA,CNRS, IPREM, MIRA, UMR 5254, Anglet, France. Electronic address: tiphaine.mille@univ-pau.fr.

Laurent Lanceleur (L)

Université de Pau et des Pays de l'Adour, E2S UPPA,CNRS, IPREM, MIRA, UMR 5254, Anglet, France. Electronic address: laurent.lanceleur@univ-pau.fr.

Mathilde Monperrus (M)

Université de Pau et des Pays de l'Adour, E2S UPPA,CNRS, IPREM, MIRA, UMR 5254, Anglet, France. Electronic address: mathilde.monperrus@univ-pau.fr.

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Classifications MeSH