Chemometric study on the forensic discrimination of soil types using their infrared spectral characteristics

Mark Baron, Jose Gonzalez-Rodriguez*, Ruth Croxton, Rafael Gonzalez, Rebeca Jimenez-Perez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Soil has been utilized in criminal investigations for some time because of its prevalence and transferability. It is usually the physical characteristics that are studied however, the research carried out here aims to make use of the chemical profile of soil samples. The research we are presenting in this work used sieved (2 mm) soil samples taken from the top soil layer (about 10 cm) that were then analyzed using mid-infrared spectroscopy. The spectra obtained were pretreated and then input into two chemometric classification tools: nonlinear iterative partial least squares followed by linear discriminant analysis (NIPALS-LDA) and partial least squares discriminant analysis (PLS-DA). The models produced show that it is possible to discriminate between soil samples from different land use types and both approaches are comparable in performance. NIPALS-LDA performs much better than PLS-DA in classifying samples to location.

Original languageEnglish
Pages (from-to)1151-1161
Number of pages11
JournalApplied Spectroscopy
Volume65
Issue number10
DOIs
Publication statusPublished - 1 Oct 2011
Externally publishedYes

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