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Title: Cohort-friendly protocol for the determination of two urinary biomarkers of exposure to pyrethroids and neonicotinoids using gas chromatography-triple quadrupole mass spectrometry
Authors: Charisiadis, Pantelis 
Delplancke, Thibaut 
Makris, Konstantinos C. 
Major Field of Science: Medical and Health Sciences
Field Category: Basic Medicine
Keywords: 3-Phenoxybenzoic acid;6-Chloronicotinic acid;Cohorts;Exposure;Metabolites;Neonicotinoids;Pesticides;Pyrethroids
Issue Date: Aug-2019
Source: Analytical and Bioanalytical Chemistry, 2019, vol. 411, no. 20, pp. 5013–5021
Volume: 411
Issue: 20
Start page: 5013
End page: 5021
Journal: Analytical and Bioanalytical Chemistry 
Abstract: Neonicotinoids (NEOs) and synthetic pyrethroids (PYRs) are active ingredients of commercial pesticides and/or insecticides with extensive indoor and outdoor applications, worldwide. Improved exposure metrics are warranted for NEOs and PYRs, if we are to better understand their human health effects. A cohort-friendly protocol for determining non-specific biomarkers of exposure to NEOs and PYRs, e.g. 6-chloronicotinic acid (6-CN) and 3-phenoxybenzoic acid (3-PBA), respectively, in human urine voids was proposed. A series of optimization experiments were conducted to validate the bioanalytical protocol using gas chromatography coupled with triple quadrupole mass spectrometry (GC-QqQ-MS/MS) in MRM mode. The method reached low detection limits for both analytes (0.075 μg L−1 for 6-CN and 0.050 μg L−1 for 3-PBA) in a short preparation and analysis time. The method used small initial urine sample volume (2 mL), short extraction time (≈ 240 min for the batches of 32 samples) and instrumental analysis time (≈ 14 min) for both pesticide metabolites in a single run. This protocol could facilitate the assessment of population exposure metrics for these pesticides and their inclusion in health risk assessment. [Figure not available: see fulltext.].
ISSN: 1618-2650
DOI: 10.1007/s00216-019-01925-9
Rights: © Springer Nature
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Affiliation : Cyprus University of Technology 
Appears in Collections:Άρθρα/Articles

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