Přehled o publikaci
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
UT WoS
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.