Optimized extraction and analysis methods using liquid chromatography-tandem mass spectrometry for zearalenone and metabolites in human placental tissue.

Biomarker Mycoestrogens Mycotoxins Placenta Solid-phase extraction Zeranols

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 19 04 2023
revised: 31 05 2023
accepted: 01 06 2023
medline: 24 7 2023
pubmed: 24 7 2023
entrez: 24 7 2023
Statut: epublish

Résumé

Zearalenone and its metabolites, a group of endocrine disrupting mycotoxins, have been linked to adverse reproductive health effects. They cross the placental barrier, potentially reaching the fetus. In this study, we adapted and optimized our protocol previously used for urine, to measure these mycotoxins in human placentas. We combined a supported liquid extraction step using Chem Elut cartridges with solid phase extraction on Discovery® DSC-NH2 tubes. The optimized extraction efficiencies were between 68 and 80% for all metabolites. Analysis was performed by UHPLC-HRMS using a Betasil™ Phenyl-Hexyl column eluted with a gradient of acetonitrile-methanol-water. The chromatography method separated all analytes in under 15 min. Validation experiments confirmed the method's sensitivity, with LODs ranging from 0.0055 to 0.011 pg/mg tissue. The method was linear over a range of 0.0025-1.5 pg/mg tissue with R

Identifiants

pubmed: 37484340
doi: 10.1016/j.heliyon.2023.e16940
pii: S2405-8440(23)04147-6
pmc: PMC10361036
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e16940

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES005022
Pays : United States
Organisme : NIEHS NIH HHS
ID : R21 ES032047
Pays : United States
Organisme : NIEHS NIH HHS
ID : T32 ES007148
Pays : United States

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

We declare that none of the authors have any known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Abigail Lazofsky (A)

Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ, 08854, USA.

Anita Brinker (A)

Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ, 08854, USA.

Ruby Gupta (R)

Department of Environmental and Occupational Health and Justice, Rutgers School of Public Health, Rutgers University, 683 Hoes Lane West, Piscataway, NJ, 08854, USA.

Emily Barrett (E)

Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Rutgers University, 683 Hoes Lane West, Piscataway, NJ, 08854, USA.

Lauren M Aleksunes (LM)

Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, 160 Frelinghuysen Road, Rutgers University, Piscataway, NJ, 08854, USA.
Rutgers Center for Lipid Research, New Jersey Institute for Food, Nutrition, and Health, Rutgers University, 61 Dudley Road, New Brunswick, NJ, 08901, USA.

Zorimar Rivera-Núñez (Z)

Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Rutgers University, 683 Hoes Lane West, Piscataway, NJ, 08854, USA.

Brian Buckley (B)

Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ, 08854, USA.

Classifications MeSH