A novel workflow for semi-quantification of emerging contaminants in environmental samples analyzed by LC-HRMS.
Anal Bioanal Chem
; 414(25): 7435-7450, 2022 Oct.
Article
in En
| MEDLINE
| ID: mdl-35471250
There is an increasing need for developing a strategy to quantify the newly identified substances in environmental samples, where there are not always reference standards available. The semi-quantitative analysis can assist risk assessment of chemicals and their environmental fate. In this study, a rigorously tested and system-independent semi-quantification workflow is proposed based on ionization efficiency measurement of emerging contaminants analyzed in liquid chromatography-high-resolution mass spectrometry. The quantitative structure-property relationship (QSPR)-based model was built to predict the ionization efficiency of unknown compounds which can be later used for their semi-quantification. The proposed semi-quantification method was applied and tested in real environmental seawater samples. All semi-quantification-related calculations can be performed online and free of access at http://trams.chem.uoa.gr/semiquantification/ .
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Seawater
Type of study:
Prognostic_studies
Language:
En
Journal:
Anal Bioanal Chem
Year:
2022
Type:
Article
Affiliation country:
Greece