Application of Raman spectroscopy to the differentiation of lipsticks for forensic purposes

Raman spectroscopy was applied to the forensic analysis and differentiation of lipstick samples. Spectra were obtained from 73 different lipstick samples. 11 % of the samples gave fluorescent spectra. 21.9% gave spectra that were unique to the individual lipstick. The remaining 67.1 % could be divid...

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Main Author: Salahioglu, Fatma
Published: University of Kent 2012
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.593898
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spelling ndltd-bl.uk-oai-ethos.bl.uk-5938982015-03-20T05:00:03ZApplication of Raman spectroscopy to the differentiation of lipsticks for forensic purposesSalahioglu, Fatma2012Raman spectroscopy was applied to the forensic analysis and differentiation of lipstick samples. Spectra were obtained from 73 different lipstick samples. 11 % of the samples gave fluorescent spectra. 21.9% gave spectra that were unique to the individual lipstick. The remaining 67.1 % could be divided into seven groups, each of which could be differentiated from one another. Identification of the component dye peaks in the lipstick spectra allowed further classification of the samples within each group. A spectral library of lipstick samples was built. Effects of ageing on the Raman spectra of lipsticks were investigated. The majority of the spectra of deposited lipstick samples remained unchanged over a period of up to two years. In some of the aged lipstick spectra, the (C=C) band at 1655 em-l and the (=CH) band at 3011 em"\ were found to decrease in intensity and disappear over time. Trace amounts of lipstick smears deposited on textile fibres, cigarette butts and paper tissues were analysed. Differentiation of lipstick smears could be achieved with little or no interference from the underlying medium. Lipstick smears on glass slides, cigarette butts and tissues could also be analysed and identified in situ through evidence bags. Use of chemometrics for the characterisation of large numbers' of lipstick spectra was explored. Thirty spectra each from ten different lipsticks were analysed by Principal Components Analysis (PCA) and classified using the K-Nearest Neighbours (KNN) classifier. Up to 98.7% correct classification was achieved. Spectra from trace amounts of lipstick smears deposited on fibres were also analysed and classified using the same technique. 100% correct classification of these samples was achieved. This study has demonstrated that Raman spectroscopy is an invaluable tool for discriminating between lipstick samples under a range of forensically relevant situations. 11614.12University of Kenthttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.593898Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 614.12
spellingShingle 614.12
Salahioglu, Fatma
Application of Raman spectroscopy to the differentiation of lipsticks for forensic purposes
description Raman spectroscopy was applied to the forensic analysis and differentiation of lipstick samples. Spectra were obtained from 73 different lipstick samples. 11 % of the samples gave fluorescent spectra. 21.9% gave spectra that were unique to the individual lipstick. The remaining 67.1 % could be divided into seven groups, each of which could be differentiated from one another. Identification of the component dye peaks in the lipstick spectra allowed further classification of the samples within each group. A spectral library of lipstick samples was built. Effects of ageing on the Raman spectra of lipsticks were investigated. The majority of the spectra of deposited lipstick samples remained unchanged over a period of up to two years. In some of the aged lipstick spectra, the (C=C) band at 1655 em-l and the (=CH) band at 3011 em"\ were found to decrease in intensity and disappear over time. Trace amounts of lipstick smears deposited on textile fibres, cigarette butts and paper tissues were analysed. Differentiation of lipstick smears could be achieved with little or no interference from the underlying medium. Lipstick smears on glass slides, cigarette butts and tissues could also be analysed and identified in situ through evidence bags. Use of chemometrics for the characterisation of large numbers' of lipstick spectra was explored. Thirty spectra each from ten different lipsticks were analysed by Principal Components Analysis (PCA) and classified using the K-Nearest Neighbours (KNN) classifier. Up to 98.7% correct classification was achieved. Spectra from trace amounts of lipstick smears deposited on fibres were also analysed and classified using the same technique. 100% correct classification of these samples was achieved. This study has demonstrated that Raman spectroscopy is an invaluable tool for discriminating between lipstick samples under a range of forensically relevant situations. 11
author Salahioglu, Fatma
author_facet Salahioglu, Fatma
author_sort Salahioglu, Fatma
title Application of Raman spectroscopy to the differentiation of lipsticks for forensic purposes
title_short Application of Raman spectroscopy to the differentiation of lipsticks for forensic purposes
title_full Application of Raman spectroscopy to the differentiation of lipsticks for forensic purposes
title_fullStr Application of Raman spectroscopy to the differentiation of lipsticks for forensic purposes
title_full_unstemmed Application of Raman spectroscopy to the differentiation of lipsticks for forensic purposes
title_sort application of raman spectroscopy to the differentiation of lipsticks for forensic purposes
publisher University of Kent
publishDate 2012
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.593898
work_keys_str_mv AT salahioglufatma applicationoframanspectroscopytothedifferentiationoflipsticksforforensicpurposes
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