INIFTA 05425
INSTITUTO DE INVESTIGACIONES FISICO-QUIMICAS TEORICAS Y APLICADAS
Unidad Ejecutora - UE
artículos
Título:
CHARACTERIZATION OF POLYCYCLIC AROMATIC HYDROCARBON PROFILES BY MULTIVARIATE STATISTICAL ANALYSIS
Autor/es:
D. J. MARINO; EA CASTRO; L. MASSOLO; A. MUELLER; O. HERBARTH; A. E. RONCO
Revista:
International Journal of Chemoinformatics and chemical engineering
Editorial:
IGI Global-
Referencias:
Lugar: Hershey; Año: 2011 vol. 1 p. 6 - 14
ISSN:
2155-4110
Resumen:
In the present study, statistical methods based on multivariate analyses such as the Descriptive Discriminant Analysis (DDA) and Principal Component Analysis (PCA) were applied to determine relationships between particle sizes and the composition of the associated semi-volatile compounds, in addition to evaluating these observations in relation to the emission sources, study areas, sampling campaigns and season. Results from the DDA showed that the PAHs distributions contained in the PM10 and PM
