Use of handheld X-ray fluorescence as a non-invasive method to distinguish between Asian and African elephant tusks

We describe the use of handheld X-ray fluorescence, for elephant tusk species identification. Asian (n = 72) and African (n = 85) elephant tusks were scanned and we utilized the species differences in elemental composition to develop a functional model differentiating between species with high preci...

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Main Authors: Kittisak Buddhachat, Chatchote Thitaram, Janine L. Brown, Sarisa Klinhom, Pakkanut Bansiddhi, Kitichaya Penchart, Kanita Ouitavon, Khanittha Sriaksorn, Chalermpol Pa-In, Budsabong Kanchanasaka, Chaleamchat Somgird, Korakot Nganvongpanit
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/56366
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-563662018-09-05T03:15:30Z Use of handheld X-ray fluorescence as a non-invasive method to distinguish between Asian and African elephant tusks Kittisak Buddhachat Chatchote Thitaram Janine L. Brown Sarisa Klinhom Pakkanut Bansiddhi Kitichaya Penchart Kanita Ouitavon Khanittha Sriaksorn Chalermpol Pa-In Budsabong Kanchanasaka Chaleamchat Somgird Korakot Nganvongpanit Multidisciplinary We describe the use of handheld X-ray fluorescence, for elephant tusk species identification. Asian (n = 72) and African (n = 85) elephant tusks were scanned and we utilized the species differences in elemental composition to develop a functional model differentiating between species with high precision. Spatially, the majority of measured elements (n = 26) exhibited a homogeneous distribution in cross-section, but a more heterologous pattern in the longitudinal direction. Twenty-one of twenty four elements differed between Asian and African samples. Data were subjected to hierarchical cluster analysis followed by a stepwise discriminant analysis, which identified elements for the functional equation. The best equation consisted of ratios of Si, S, Cl, Ti, Mn, Ag, Sb and W, with Zr as the denominator. Next, Bayesian binary regression model analysis was conducted to predict the probability that a tusk would be of African origin. A cut-off value was established to improve discrimination. This Bayesian hybrid classification model was then validated by scanning an additional 30 Asian and 41 African tusks, which showed high accuracy (94%) and precision (95%) rates. We conclude that handheld XRF is an accurate, non-invasive method to discriminate origin of elephant tusks provides rapid results applicable to use in the field. 2018-09-05T03:15:30Z 2018-09-05T03:15:30Z 2016-04-21 Journal 20452322 2-s2.0-84964228155 10.1038/srep24845 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964228155&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/56366
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Multidisciplinary
spellingShingle Multidisciplinary
Kittisak Buddhachat
Chatchote Thitaram
Janine L. Brown
Sarisa Klinhom
Pakkanut Bansiddhi
Kitichaya Penchart
Kanita Ouitavon
Khanittha Sriaksorn
Chalermpol Pa-In
Budsabong Kanchanasaka
Chaleamchat Somgird
Korakot Nganvongpanit
Use of handheld X-ray fluorescence as a non-invasive method to distinguish between Asian and African elephant tusks
description We describe the use of handheld X-ray fluorescence, for elephant tusk species identification. Asian (n = 72) and African (n = 85) elephant tusks were scanned and we utilized the species differences in elemental composition to develop a functional model differentiating between species with high precision. Spatially, the majority of measured elements (n = 26) exhibited a homogeneous distribution in cross-section, but a more heterologous pattern in the longitudinal direction. Twenty-one of twenty four elements differed between Asian and African samples. Data were subjected to hierarchical cluster analysis followed by a stepwise discriminant analysis, which identified elements for the functional equation. The best equation consisted of ratios of Si, S, Cl, Ti, Mn, Ag, Sb and W, with Zr as the denominator. Next, Bayesian binary regression model analysis was conducted to predict the probability that a tusk would be of African origin. A cut-off value was established to improve discrimination. This Bayesian hybrid classification model was then validated by scanning an additional 30 Asian and 41 African tusks, which showed high accuracy (94%) and precision (95%) rates. We conclude that handheld XRF is an accurate, non-invasive method to discriminate origin of elephant tusks provides rapid results applicable to use in the field.
format Journal
author Kittisak Buddhachat
Chatchote Thitaram
Janine L. Brown
Sarisa Klinhom
Pakkanut Bansiddhi
Kitichaya Penchart
Kanita Ouitavon
Khanittha Sriaksorn
Chalermpol Pa-In
Budsabong Kanchanasaka
Chaleamchat Somgird
Korakot Nganvongpanit
author_facet Kittisak Buddhachat
Chatchote Thitaram
Janine L. Brown
Sarisa Klinhom
Pakkanut Bansiddhi
Kitichaya Penchart
Kanita Ouitavon
Khanittha Sriaksorn
Chalermpol Pa-In
Budsabong Kanchanasaka
Chaleamchat Somgird
Korakot Nganvongpanit
author_sort Kittisak Buddhachat
title Use of handheld X-ray fluorescence as a non-invasive method to distinguish between Asian and African elephant tusks
title_short Use of handheld X-ray fluorescence as a non-invasive method to distinguish between Asian and African elephant tusks
title_full Use of handheld X-ray fluorescence as a non-invasive method to distinguish between Asian and African elephant tusks
title_fullStr Use of handheld X-ray fluorescence as a non-invasive method to distinguish between Asian and African elephant tusks
title_full_unstemmed Use of handheld X-ray fluorescence as a non-invasive method to distinguish between Asian and African elephant tusks
title_sort use of handheld x-ray fluorescence as a non-invasive method to distinguish between asian and african elephant tusks
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964228155&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/56366
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