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Resolution and Quantification of Complex Mixtures of Polycyclic Aromatic Hydrocarbons in Heavy Fuel Oil Sample by Means of GC × GC-TOFMS Combined to Multivariate Curve Resolution

Acceso Cerrado
ID Minciencias: ART-0001439087-22
Ranking: ART-ART_A1

Abstract:

Comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC × GC-TOFMS) combined to multivariate curve resolution-alternating least-squares (MCR-ALS) is proposed for the resolution and quantification of very complex mixtures of compounds such as polycyclic aromatic hydrocarbons (PAHs) in heavy fuel oil (HFO). Different GC × GC-TOFMS data slices acquired during the analysis of HFO samples and PAH standards were simultaneously analyzed using the MCR-ALS method to resolve the pure component elution profiles in the two chromatographic dimensions as well as their pure mass spectra. Outstandingly, retention time shifts within and between GC × GC runs were not affecting the results obtained using the proposed strategy and proper resolution of strongly coeluted compounds, baseline and background contributions was achieved. Calibration curves built up with standard samples of PAHs allowed the quantification of ten of them in HFO aromatic fractions. Relative errors in their estimated concentrations were in all cases below 6%. The obtained results were compared to those obtained by commercial software provided with GC × GC-TOFMS instruments and to Parallel Factor Analysis (PARAFAC). Inspection of these results showed improvement in terms of data fitting, elution process description, concentration relative errors and relative standard deviations.

Tópico:

Analytical Chemistry and Chromatography

Citaciones:

Citations: 119
119

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Información de la Fuente:

SCImago Journal & Country Rank
FuenteAnalytical Chemistry
Cuartil año de publicaciónNo disponible
Volumen83
Issue24
Páginas9289 - 9297
pISSNNo disponible
ISSN0003-2700

Enlaces e Identificadores:

Minciencias IDART-0001439087-22Scienti ID0001439087-22Openalex URLhttps://openalex.org/W2093512816
Pmid URLhttps://pubmed.ncbi.nlm.nih.gov/22077766Doi URLhttps://doi.org/10.1021/ac201799r
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