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Identifications and quantitative measurements of narcotics in solid mixtures using near-IR Raman spectroscopy and multivariate analysis

ARAN - Access to Research at NUI Galway

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dc.contributor.author Ryder, Alan G.
dc.contributor.author O'Connor, G.M.
dc.contributor.author Glynn, T.J.
dc.date.accessioned 2012-08-22T09:42:12Z
dc.date.available 2012-08-22T09:42:12Z
dc.date.issued 1999
dc.identifier.citation Ryder, A.G.; O'Connor, G.M.; Glynn, T.J. (1999) 'Identifications and quantitative measurements of narcotics in solid mixtures using near-IR Raman spectroscopy and multivariate analysis'. Journal Of Forensic Sciences, 44 (5):1013-1019. en_US
dc.identifier.issn 0022-1198
dc.identifier.uri http://hdl.handle.net/10379/2926
dc.description.abstract Raman spectroscopy offers the potential for the identification of illegal narcotics in seconds by inelastic scattering of light from molecular vibrations. In this study cocaine, heroin, and MDMA were analyzed using near-IR (785 nm excitation) micro-Raman spectroscopy. Narcotics were dispersed in solid dilutants of different concentrations by weight. The dilutants investigated were foodstuffs (flour, baby milk formula), sugars (glucose, lactose, maltose, mannitol), and inorganic materials (Talc powder, NaHCO3,MgSO4 .7H2O). In most cases it was possible to detect the presence of drugs at levels down to ~10% by weight. The detection sensitivity of the Raman technique was found to be dependent on a numberof factors such as the scattering cross-sections of drug and dilutant, fluorescence of matrix or drug, complexity of dilutant Raman spectrum, and spectrometer resolution.  Raman spectra from a series of 20 mixtures of cocaine and glucose (0 100% by weight cocaine) were collected and analyzed using multivariate analysis methods. An accurate prediction model was generated using a Partial Least Squares (PLS) algorithm that can predict the concentration of cocaine in solid glucose from a single Raman spectrum with a root mean standard error of prediction of 2.3%. en_US
dc.description.sponsorship Science & Technology Against Drugs Programme (Forbairt) en_US
dc.language.iso en en_US
dc.relation.ispartof Journal Of Forensic Sciences en
dc.subject Raman spectroscopy en_US
dc.subject Chemometrics en_US
dc.subject Forensics en_US
dc.subject Narcotics en_US
dc.subject Quantitative Analysis en_US
dc.title Identifications and quantitative measurements of narcotics in solid mixtures using near-IR Raman spectroscopy and multivariate analysis en_US
dc.type Article en_US
dc.date.updated 2012-08-17T12:53:42Z
dc.local.publishedsource http://enterprise.astm.org/SUBSCRIPTION/DIGITAL_LIBRARY/JOURNALS/FORENSIC/PAGES/JFS12031J.htm en_US
dc.description.peer-reviewed peer-reviewed
dc.contributor.funder |~|Enterprise Ireland |~|
dc.internal.rssid 1159014
dc.local.contact Alan Ryder, School Of Chemistry, Room 228, Arts/Science Building, Nui Galway. 2943 Email: alan.ryder@nuigalway.ie
dc.local.copyrightchecked No
dc.local.version ACCEPTED

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