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Forensic soil provenancing in an urban/suburban setting: A simultaneous multivariate approach

Soil is a ubiquitous material at the Earth's surface with potential to be a useful evidence class in forensic and intelligence applications. Compositional data from a soil survey over North Canberra, Australian Capital Territory, are used to develop and test an empirical soil provenancing metho...

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Autores principales: de Caritat, Patrice, Woods, Brenda, Simpson, Timothy, Nichols, Christopher, Hoogenboom, Lissy, Ilheo, Adriana, Aberle, Michael G., Hoogewerff, Jurian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9305460/
https://www.ncbi.nlm.nih.gov/pubmed/35037702
http://dx.doi.org/10.1111/1556-4029.14967
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author de Caritat, Patrice
Woods, Brenda
Simpson, Timothy
Nichols, Christopher
Hoogenboom, Lissy
Ilheo, Adriana
Aberle, Michael G.
Hoogewerff, Jurian
author_facet de Caritat, Patrice
Woods, Brenda
Simpson, Timothy
Nichols, Christopher
Hoogenboom, Lissy
Ilheo, Adriana
Aberle, Michael G.
Hoogewerff, Jurian
author_sort de Caritat, Patrice
collection PubMed
description Soil is a ubiquitous material at the Earth's surface with potential to be a useful evidence class in forensic and intelligence applications. Compositional data from a soil survey over North Canberra, Australian Capital Territory, are used to develop and test an empirical soil provenancing method. Mineralogical data from Fourier Transform InfraRed spectroscopy (FTIR) and geochemical data from X‐Ray Fluorescence (XRF; for total major oxides) and Inductively Coupled Plasma‐Mass Spectrometry (ICP‐MS; for both total and aqua regia‐soluble trace elements) are obtained from the survey's 268 topsoil samples (0–5 cm depth; 1 sample per km(2)). The simultaneous provenancing approach is underpinned by (i) the calculation of Spearman's correlation coefficients (r(S) ) between an evidentiary sample and all the samples in the database for all variables generated by each analytical method; and (ii) the preparation of an interpolated raster grid of r(S) for each evidentiary sample and method resulting in a series of provenance rasters (“heat maps”). The simultaneous provenancing method is tested on the North Canberra soil survey with three “blind” samples representing simulated evidentiary samples. Performance metrics of precision and accuracy indicate that the FTIR (mineralogy) and XRF (geochemistry) analytical methods offer the most precise and accurate provenance predictions. Maximizing the number of analytes/analytical techniques is advantageous in soil provenancing. Despite acknowledged limitations, it is concluded that the empirical soil provenancing approach can play an important role in forensic and intelligence applications.
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spelling pubmed-93054602022-07-28 Forensic soil provenancing in an urban/suburban setting: A simultaneous multivariate approach de Caritat, Patrice Woods, Brenda Simpson, Timothy Nichols, Christopher Hoogenboom, Lissy Ilheo, Adriana Aberle, Michael G. Hoogewerff, Jurian J Forensic Sci Papers Soil is a ubiquitous material at the Earth's surface with potential to be a useful evidence class in forensic and intelligence applications. Compositional data from a soil survey over North Canberra, Australian Capital Territory, are used to develop and test an empirical soil provenancing method. Mineralogical data from Fourier Transform InfraRed spectroscopy (FTIR) and geochemical data from X‐Ray Fluorescence (XRF; for total major oxides) and Inductively Coupled Plasma‐Mass Spectrometry (ICP‐MS; for both total and aqua regia‐soluble trace elements) are obtained from the survey's 268 topsoil samples (0–5 cm depth; 1 sample per km(2)). The simultaneous provenancing approach is underpinned by (i) the calculation of Spearman's correlation coefficients (r(S) ) between an evidentiary sample and all the samples in the database for all variables generated by each analytical method; and (ii) the preparation of an interpolated raster grid of r(S) for each evidentiary sample and method resulting in a series of provenance rasters (“heat maps”). The simultaneous provenancing method is tested on the North Canberra soil survey with three “blind” samples representing simulated evidentiary samples. Performance metrics of precision and accuracy indicate that the FTIR (mineralogy) and XRF (geochemistry) analytical methods offer the most precise and accurate provenance predictions. Maximizing the number of analytes/analytical techniques is advantageous in soil provenancing. Despite acknowledged limitations, it is concluded that the empirical soil provenancing approach can play an important role in forensic and intelligence applications. John Wiley and Sons Inc. 2022-01-17 2022-05 /pmc/articles/PMC9305460/ /pubmed/35037702 http://dx.doi.org/10.1111/1556-4029.14967 Text en © 2022 Commonwealth of Australia. Journal of Forensic Sciences published by Wiley Periodicals LLC on behalf of American Academy of Forensic Sciences. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Papers
de Caritat, Patrice
Woods, Brenda
Simpson, Timothy
Nichols, Christopher
Hoogenboom, Lissy
Ilheo, Adriana
Aberle, Michael G.
Hoogewerff, Jurian
Forensic soil provenancing in an urban/suburban setting: A simultaneous multivariate approach
title Forensic soil provenancing in an urban/suburban setting: A simultaneous multivariate approach
title_full Forensic soil provenancing in an urban/suburban setting: A simultaneous multivariate approach
title_fullStr Forensic soil provenancing in an urban/suburban setting: A simultaneous multivariate approach
title_full_unstemmed Forensic soil provenancing in an urban/suburban setting: A simultaneous multivariate approach
title_short Forensic soil provenancing in an urban/suburban setting: A simultaneous multivariate approach
title_sort forensic soil provenancing in an urban/suburban setting: a simultaneous multivariate approach
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9305460/
https://www.ncbi.nlm.nih.gov/pubmed/35037702
http://dx.doi.org/10.1111/1556-4029.14967
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