Application of chemometrics to analysis of soil pollutants

Mostert, Maria, Ayoko, Godwin, & Kokot, Serge (2010) Application of chemometrics to analysis of soil pollutants. Trends in Analytical Chemistry, 29(5), pp. 430-445.

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This overview focuses on the application of chemometrics techniques for the investigation of soils contaminated by polycyclic aromatic hydrocarbons (PAHs) and metals because these two important and very diverse groups of pollutants are ubiquitous in soils. The salient features of various studies carried out in the micro- and recreational environments of humans, are highlighted in the context of the various multivariate statistical techniques available across discipline boundaries that have been effectively used in soil studies. Particular attention is paid to techniques employed in the geosciences that may be effectively utilized for environmental soil studies; classical multivariate approaches that may be used in isolation or as complementary methods to these are also discussed. Chemometrics techniques widely applied in atmospheric studies for identifying sources of pollutants or for determining the importance of contaminant source contributions to a particular site, have seen little use in soil studies, but may be effectively employed in such investigations. Suitable programs are also available for suggesting mitigating measures in cases of soil contamination, and these are also considered. Specific techniques reviewed include pattern recognition techniques such as Principal Components Analysis (PCA), Fuzzy Clustering (FC) and Cluster Analysis (CA); geostatistical tools include variograms, Geographical Information Systems (GIS), contour mapping and kriging; source identification and contribution estimation methods reviewed include Positive Matrix Factorisation (PMF), and Principal Component Analysis on Absolute Principal Component Scores (PCA/APCS). Mitigating measures to limit or eliminate pollutant sources may be suggested through the use of ranking analysis and multi criteria decision making methods (MCDM). These methods are mainly represented in this review by studies employing the Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) and its associated graphic output, Geometrical Analysis for Interactive Aid (GAIA).

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60 citations in Scopus
56 citations in Web of Science®
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ID Code: 38689
Item Type: Journal Article
Refereed: Yes
Keywords: Soil studies, Chemometrics, Multivariate analysis, Geostatistics, Source identification and contribution
DOI: 10.1016/j.trac.2010.02.009
ISSN: 0165-9936
Subjects: Australian and New Zealand Standard Research Classification > EARTH SCIENCES (040000) > GEOCHEMISTRY (040200) > Organic Geochemistry (040204)
Australian and New Zealand Standard Research Classification > EARTH SCIENCES (040000) > GEOCHEMISTRY (040200) > Geochemistry not elsewhere classified (040299)
Divisions: Past > Schools > Chemistry
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2010 Elsevier BV
Deposited On: 22 Nov 2010 00:51
Last Modified: 29 Feb 2012 14:30

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