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Investigating Polycyclic Aromatic Hydrocarbons Profiles in Higher Plants Using Statistical Models
Authors:O. Samuel Sojinu  O. Oluwadayo Sonibare  Ezra Gayawan
Affiliation:1. Department of Chemical Sciences , Redeemer's University , Klm 46/48 Lagos-Ibadan Express Way, Nigeria;2. Department of Chemistry, Faculty of Science , University of Ibadan , Ibadan , Nigeria;3. Department of Mathematical Sciences , Redeemer's University , Klm 46/48 Lagos-Ibadan Express Way, Nigeria
Abstract:Thirty-six higher plants sampled from Olomoro, Irri, Uzere, and Oginni exploration sites in the Niger Delta region of Nigeria were subjected to GC/MS analysis to assess the occurrence, distribution and profiles of polycyclic aromatic hydrocarbons (PAHs) contained in them. The Σ28PAHs ranged from 335 to 3094 ng/g. The results of the nonparametric regression models showed that PAHs concentration in a plant cannot be used in isolation to deduce the total PAHs concentration in soils hosting the plant since PAHs concentration in a plant is influenced by the presence (or absence) of other plants in that location. A combination of Factor analysis (FA) and principal component analysis (PCA) were used to recognize PAHs concentration patterns among the plants in the studied locations and individual PAHs compounds. Woody annuals and perennial plants formed similar patterns in Oginni and Irri locations. Three main clusters were formed by all the compounds with naphthalene and 2-methylnaphthalene standing as outliers in all the four locations.

Supplemental materials are available for this article. Go to the publisher's online edition of International Journal of Phytoremediation to view the supplemental file.

Keywords:higher plants  polycyclic aromatic hydrocarbons  principal component analysis  nonparametric regression  soils
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