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A novel workflow for semi-quantification of emerging contaminants in environmental samples analyzed by LC-HRMS.
Aalizadeh, Reza; Nikolopoulou, Varvara; Alygizakis, Nikiforos; Slobodnik, Jaroslav; Thomaidis, Nikolaos S.
Afiliación
  • Aalizadeh R; Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771, Athens, Greece. raalizadeh@chem.uoa.gr.
  • Nikolopoulou V; Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771, Athens, Greece.
  • Alygizakis N; Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771, Athens, Greece.
  • Slobodnik J; Environmental Institute, Okruzná 784/42, 97241, Kos, Slovak Republic.
  • Thomaidis NS; Environmental Institute, Okruzná 784/42, 97241, Kos, Slovak Republic.
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/ .
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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

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