Detection of illicit substances in fingerprints by infrared spectral imaging.

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Show simple item record Ng, PH Walker, S Tahtouh, M Reedy, B 2010-05-28T09:43:33Z 2009-08
dc.identifier.citation Analytical and bioanalytical chemistry, 2009, 394 (8), pp. 2039 - 2048
dc.identifier.issn 1618-2642
dc.identifier.other C1 en_US
dc.description.abstract FTIR and Raman spectral imaging can be used to simultaneously image a latent fingerprint and detect exogenous substances deposited within it. These substances might include drugs of abuse or traces of explosives or gunshot residue. In this work, spectral searching algorithms were tested for their efficacy in finding targeted substances deposited within fingerprints. "Reverse" library searching, where a large number of possibly poor-quality spectra from a spectral image are searched against a small number of high-quality reference spectra, poses problems for common search algorithms as they are usually implemented. Out of a range of algorithms which included conventional Euclidean distance searching, the spectral angle mapper (SAM) and correlation algorithms gave the best results when used with second-derivative image and reference spectra. All methods tested gave poorer performances with first derivative and undifferentiated spectra. In a search against a caffeine reference, the SAM and correlation methods were able to correctly rank a set of 40 confirmed but poor-quality caffeine spectra at the top of a dataset which also contained 4,096 spectra from an image of an uncontaminated latent fingerprint. These methods also successfully and individually detected aspirin, diazepam and caffeine that had been deposited together in another fingerprint, and they did not indicate any of these substances as a match in a search for another substance which was known not to be present. The SAM was used to successfully locate explosive components in fingerprints deposited on silicon windows. The potential of other spectral searching algorithms used in the field of remote sensing is considered, and the applicability of the methods tested in this work to other modes of spectral imaging is discussed.
dc.format Print-Electronic
dc.language eng
dc.relation.hasversion Accepted manuscript version en_US
dc.relation.isbasedon 10.1007/s00216-009-2806-9
dc.title Detection of illicit substances in fingerprints by infrared spectral imaging.
dc.type Journal Article
dc.parent Analytical and bioanalytical chemistry
dc.journal.volume 8
dc.journal.volume 394
dc.journal.number 8 en_US
dc.publocation Heidelberg en_US
dc.identifier.startpage 2039 en_US
dc.identifier.endpage 2048 en_US SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 0399 Other Chemical Sciences
dc.personcode 040570
dc.personcode 000263
dc.percentage 100 en_US Other Chemical Sciences en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US en_US
dc.location.activity ISI:000268478100007 en_US
dc.location.activity Germany
dc.description.keywords Humans
dc.description.keywords Street Drugs
dc.description.keywords Spectroscopy, Fourier Transform Infrared
dc.description.keywords Substance Abuse Detection
dc.description.keywords Algorithms
dc.description.keywords Dermatoglyphics
dc.description.keywords Explosive Agents
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Strength - Forensic Science
utslib.copyright.status Open Access 2015-04-15 12:23:47.074767+10
pubs.consider-herdc true
utslib.collection.history School of Chemistry and Forensic Science (ID: 339)
utslib.collection.history School of Chemistry and Forensic Science (ID: 339)
utslib.collection.history General (ID: 2)

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