Application of chemometrics to analysis of soil pollutants

Mostert, Maria M.R., Ayoko, Godwin A. and Kokot, Serge (2010) Application of chemometrics to analysis of soil pollutants. Trends in Analytical Chemistry, 29 5: 430-445. doi:10.1016/j.trac.2010.02.009

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Author Mostert, Maria M.R.
Ayoko, Godwin A.
Kokot, Serge
Title Application of chemometrics to analysis of soil pollutants
Journal name Trends in Analytical Chemistry   Check publisher's open access policy
ISSN 0167-2940
Publication date 2010-02-09
Year available 2010
Sub-type Article (original research)
DOI 10.1016/j.trac.2010.02.009
Volume 29
Issue 5
Start page 430
End page 445
Total pages 16
Place of publication Amsterdam, The Netherlands
Publisher Elsevier Scientific
Collection year 2011
Language eng
Abstract This overview focuses on the application of chemometrics techniques to 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.We highlight the salient features of studies carried out in the microenvironments and recreational environments of humans in the context of the multivariate statistical techniques available across the boundaries of disciplines used in soil studies. We pay particular attention to techniques employed in the geosciences that may be effectively utilized for environmental soil studies. We also discuss classical multivariate approaches that may be used in isolation or as complementary methods to these. Chemometrics techniques widely applied in atmospheric studies for identifying sources of pollutants or for determining the importance of contributions of contaminant sources to a particular site have seen little use in soil studies, but they may be employed effectively in such investigations. Suitable programs are also available for suggesting measures of mitigation in cases of soil contamination, and we also consider these.Specific techniques reviewed include:. •pattern-recognition techniques [e.g., Principal Components Analysis (PCA), Fuzzy Clustering (FC) and Cluster Analysis (CA);•geostatistical tools [e.g., variograms, Geographical Information Systems (GISs), contour mapping and kriging]; and,•source-identification and contribution-estimation methods [e.g., Positive Matrix Factorization (PMF), and PCA on Absolute Principal Component Scores (PCA/APCS)].Mitigating measures to limit or to eliminate pollutant sources may be suggested through the use of ranking analysis and multi-criteria decision-making methods (MCDMs), mainly represented in this review by studies employing the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) and its associated graphic output, Geometrical Analysis for Interactive Aid (GAIA). © 2010 Elsevier Ltd.
Keyword Chemometrics
Geometrical Analysis for Interactive (GAIA)
Multivariate analysis
Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE)
Principal Components Analysis/Absolute Principal Component Scores (PCA/APCS)
Soil studies
Source contribution
Source identification
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Earth Sciences Publications
Official 2011 Collection
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 48 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 54 times in Scopus Article | Citations
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Created: Thu, 18 Nov 2010, 16:55:54 EST by Ms Maria Mostert on behalf of School of Earth Sciences