Analysis of aromatic amines in human urine using comprehensive multi-dimensional gas chromatography-mass spectrometry (GCxGC-MS).

Aromatic amines Derivatization Multi-dimensional gas chromatography-mass spectrometry (GCxGC-MS) Urine

Journal

International journal of hygiene and environmental health
ISSN: 1618-131X
Titre abrégé: Int J Hyg Environ Health
Pays: Germany
ID NLM: 100898843

Informations de publication

Date de publication:
28 Feb 2024
Historique:
received: 09 10 2023
revised: 17 02 2024
accepted: 20 02 2024
medline: 1 3 2024
pubmed: 1 3 2024
entrez: 29 2 2024
Statut: aheadofprint

Résumé

Several aromatic amines (AA) are classified as human carcinogens, and tobacco smoke is one of the main sources of exposure. Once in the human body, they undergo different metabolic pathways which lead to either their excretion or ultimately to the formation of DNA and protein adducts. The aim of this study was to investigate AA in 68 urine samples (aged 29-79, 47% female), including 10 smokers (S), 28 past-smokers (PS) and 30 never-smokers (NS), and to study if there was a relation between the smoking status and the amount of the AA present. GCxGC-MS was used to analyze AA in complex urine samples due to its high peak capacity and the fact that it provides two sets of retention times and structural information, which facilitates the separation and identification of the target analytes. First, a qualitative comparison of an example set of a NS, PS and S sample was carried out, in which 38, 45 and 46 AA, respectively, could be tentatively identified. Afterwards, seven AA were successfully quantified in the samples. Of these, 4-ethylaniline (4EA, p = 0.015), 2,4,6-trimethylaniline (2,4,6TMA, p = 0.030), 2-naphthylamine (2NA, p = 0.014) and the sum of 2,4- and 2,6-dimethylaniline (DMA, p = 0.017) were found in significantly different (α = 0.05) concentrations for the S, 29 ± 14, 87 ± 49, 41 ± 26, and 105 ± 57 ng/L respectively, compared to the NS, 15 ± 6, 42 ± 30, 16 ± 6, and 48 ± 28 ng/L. And 2,4,6TMA (39 ± 26, p = 0.022), 2NA (18 ± 9, p = 0.025) and DMA (53 ± 46, p = 0.030), were also found at significantly higher concentrations in samples from S when compared to PS. However, some samples had AA concentrations outside the calibration curve and could not be taken into account, especially for 2-methylaniline (2MA). Therefore, all the samples were evaluated using a quantitative screening approach, by which the intensities of 4EA (p = 0.019), 2,4,6TMA (p = 0.048), 2NA (p = 0.016), DMA (p = 0.019) and 2MA (p = 0.006) in S were found to be significantly (α = 0.05) higher than in the NS, and 2MA (p = 0.019) and 4EA (p = 0.023) in S were found to be significantly higher than in the PS. An association between the smoking status and the amount of certain AA present could therefore be found. This information could be used to study the relation between the smoking status, the amount of AA present, and smoking related diseases like bladder cancer.

Identifiants

pubmed: 38422601
pii: S1438-4639(24)00024-5
doi: 10.1016/j.ijheh.2024.114343
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

114343

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier GmbH.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest At the time of writing and submission of the manuscript, Nerea Lorenzo-Parodi is an employee of Shimadzu Europa GmbH. The remaining authors have no conflicts of interest to declare.

Auteurs

Nerea Lorenzo-Parodi (N)

Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstrasse 5, 45141, Essen, Germany.

Susanne Moebus (S)

Institute for Urban Public Health, University Hospital Essen, University of Duisburg-Essen, Zweigerstrasse 37, 45130, Essen, Germany; Centre for Water and Environmental Research, University of Duisburg-Essen, Universitätsstrasse 5, 45141, Essen, Germany.

Torsten C Schmidt (TC)

Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstrasse 5, 45141, Essen, Germany; Centre for Water and Environmental Research, University of Duisburg-Essen, Universitätsstrasse 5, 45141, Essen, Germany; IWW Water Centre, Moritzstrasse 26, 45476, Mülheim an der Ruhr, Germany. Electronic address: torsten.schmidt@uni-due.de.

Classifications MeSH