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
en 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/ .
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Agua de Mar
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Anal Bioanal Chem
Año:
2022
Tipo del documento:
Article
País de afiliación:
Grecia