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dc.contributor.authorAssi, Sulaf
dc.contributor.authorWatt, Robert A.
dc.contributor.authorMoffat, Anthony C.
dc.date.accessioned2013-02-04T15:00:14Z
dc.date.available2013-02-04T15:00:14Z
dc.date.issued2011
dc.identifier.citationAssi , S , Watt , R A & Moffat , A C 2011 , ' Identification of counterfeit medicines from the Internet and the world market using near-infrared spectroscopy ' , Analytical Methods , vol. 10 , no. 3 , pp. 2231-2236 . https://doi.org/10.1039/C1AY05227F
dc.identifier.issn1759-9660
dc.identifier.otherPURE: 397121
dc.identifier.otherPURE UUID: c947b937-4756-4424-8293-7211f1d98ef9
dc.identifier.otherScopus: 80053938606
dc.identifier.urihttp://hdl.handle.net/2299/9834
dc.descriptionOriginal article can be found at : http://pubs.rsc.org/ Copyright Royal Society of Chemistry [Full text of this article is not available in the UHRA]
dc.description.abstractPharmaceutical counterfeiting is a life threatening problem affecting all countries. Counterfeit medicines may be encountered anywhere in conventional markets or from the Internet. This paper proposes a rapid and non-destructive near-infrared spectroscopic method for the identification of counterfeit medicines using the minimum number of authentic samples. As little as twenty spectra from ten tablets from a batch is required to compare a test sample to its authentic counterpart. In this respect, tablets are measured as received and the correlation coefficient of the SNV-D2 spectra between the authentic sample and the test sample is determined. A correlation coefficient of lower than 0.95 indicates that the batch fails identification. In this case, if enough authentic samples are available, principal component analysis (PCA) could be applied. The PC scores plot of the authentic and counterfeit samples with the 95% equal frequency ellipses drawn around the authentic sample set are effective in identifying counterfeits. The method could identify 82 known counterfeit medicines out of 201 medicines supplied from the Internet and the World market. However, it is still a comparative method to identify potential counterfeits and cannot identify products without authentic samples.en
dc.language.isoeng
dc.relation.ispartofAnalytical Methods
dc.titleIdentification of counterfeit medicines from the Internet and the world market using near-infrared spectroscopyen
dc.contributor.institutionHealth & Human Sciences Research Institute
dc.contributor.institutionDepartment of Pharmacy
dc.contributor.institutionCentre for Clinical Practice, Safe Medicines and Drug Misuse Research
dc.contributor.institutionMedicinal and Analytical Chemistry
dc.contributor.institutionCentre for Research into Topical Drug Delivery and Toxicology
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=80053938606&partnerID=8YFLogxK
dcterms.dateAccepted2011
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1039/C1AY05227F
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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