J 2022

LC-HRMS based method for suspect/non-targeted screening for biomarkers of chemical exposure in human urine

TKALEC, Žiga; Garry Paul CODLING; Jana KLÁNOVÁ; Milena HORVAT; Tina KOSJEK et al.

Základní údaje

Originální název

LC-HRMS based method for suspect/non-targeted screening for biomarkers of chemical exposure in human urine

Autoři

TKALEC, Žiga; Garry Paul CODLING; Jana KLÁNOVÁ; Milena HORVAT a Tina KOSJEK

Vydání

Chemosphere, OXFORD, PERGAMON-ELSEVIER SCIENCE LTD, 2022, 0045-6535

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Označené pro přenos do RIV

Ne

Organizace

Přírodovědecká fakulta – Masarykova univerzita – Repozitář

EID Scopus

Klíčová slova anglicky

Xenobiotic; Exposome; Biomonitoring; Non-targeted; Sample preparation; HBM4EU

Návaznosti

EF17_043/0009632, projekt VaV. LM2018121, projekt VaV. 733032, interní kód Repo. 839243, interní kód Repo.
Změněno: 10. 1. 2023 03:47, RNDr. Daniel Jakubík

Anotace

V originále

Every day we are exposed to a cocktail of anthropogenic compounds many of which are biologically active and capable of inducing negative effects. The simplest way to monitor contaminants in a population is via human biomonitoring (HBM), however conventional targeted approaches require foreknowledge of chemicals of concern, often have compound specific extractions and provide information only for those compounds. This study developed an extraction process for human biomarkers of interest (BoE) in urine that is less compound specific. Combining this with an ultra-high resolution mass spectrometer capable of operating in full scan, and a suspect and non-targeted analysis (SS/NTA) approach, this method provides a more holistic characterization of human exposure. Sample preparation development was based on enzymatically hydrolysed urine spiked with 34 native standards and extracted by solid-phase extraction (SPE). HRMS data was processed by MzMine2 and 80% of standards were identified in the final data matrix using typical NTA data processing procedures.

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