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.Basic information
Original name
LC-HRMS based method for suspect/non-targeted screening for biomarkers of chemical exposure in human urine
Authors
TKALEC, Žiga; Garry Paul CODLING; Jana KLÁNOVÁ; Milena HORVAT and Tina KOSJEK
Edition
Chemosphere, OXFORD, PERGAMON-ELSEVIER SCIENCE LTD, 2022, 0045-6535
Other information
Language
English
Type of outcome
Article in a journal
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
is not subject to a state or trade secret
References:
Marked to be transferred to RIV
No
Organization
Přírodovědecká fakulta – Repository – Repository
UT WoS
EID Scopus
Keywords in English
Xenobiotic; Exposome; Biomonitoring; Non-targeted; Sample preparation; HBM4EU
Links
EF17_043/0009632, research and development project. LM2018121, research and development project. 733032, interní kód Repo. 839243, interní kód Repo.
Changed: 10/1/2023 03:47, RNDr. Daniel Jakubík
Abstract
In the original language
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.
