Non-separative determination of isomeric polycyclic aromatic hydrocarbons by electrospray Ag(I) cationization mass spectrometry and multivariate calibration
[EN] A new approach for the determination of isomeric polycyclic aromatic hydrocarbons using a stand-alone mass spectrometry method is proposed. The aim of the work is to study quantitative possibilities of multivariate calibration and electrospray Ag(I) cationization mass spectrometry for the non-s...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad de Salamanca (USAL) |
| Repositorio: | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| OAI Identifier: | oai:gredos.usal.es:10366/159533 |
| Acceso en línea: | http://hdl.handle.net/10366/159533 |
| Access Level: | acceso abierto |
| Palabra clave: | Flow injection analysis Mass spectrometry Ag (I) cationization Polycyclic aromatic hydrocarbons PLS models Experimental design 23 Química |
| Sumario: | [EN] A new approach for the determination of isomeric polycyclic aromatic hydrocarbons using a stand-alone mass spectrometry method is proposed. The aim of the work is to study quantitative possibilities of multivariate calibration and electrospray Ag(I) cationization mass spectrometry for the non-separative determination of polycyclic aromatic hydrocarbons isomers. The method is based on flow injection analysis, electrospray ionization and tandem mass spectrometry (FIA-ESI-MS/MS). No chromatographic column was included into the instrumental configuration and the analysis time was 1.7 min. Seven polycyclic aromatic hydrocarbons were selected as test compounds and the ionization was achieved by forming complexes with Ag (I). Individual quantification of all the isomers was carried out by using PLS multivariate calibration and experimental design for calibration modeling. The PLS models were used to predict the concentration of the analytes in a set of external validation samples and satisfactory results were obtained. RMSE, expressed as a relative value, were found to be between 23 and 34 %. Results obtained with multivariate analysis were compared with those corresponding to univariate calibration to show its high potential. |
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