dc.creatorScafi, S H
dc.creatorPasquini, C
dc.date2001-Dec
dc.date2015-11-27T12:29:09Z
dc.date2015-11-27T12:29:09Z
dc.date.accessioned2018-03-29T00:55:41Z
dc.date.available2018-03-29T00:55:41Z
dc.identifierThe Analyst. v. 126, n. 12, p. 2218-24, 2001-Dec.
dc.identifier0003-2654
dc.identifier
dc.identifierhttp://www.ncbi.nlm.nih.gov/pubmed/11814205
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/194929
dc.identifier11814205
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1295162
dc.descriptionThis work was aimed at the investigation of the use of near-infrared spectroscopy (NIRS) for the identification of counterfeit drugs. The identification is based on the comparison of the NIR spectrum of a sample with typical spectra of the authentic drug using multivariate modelling and classification algorithms (PCA/SIMCA). Initially, NIRS was evaluated for spectrum acquisition of various drugs, selected in order to observe the diversity of physico-chemical characteristics found among commercial products. The parameters which could affect the spectra of a given drug (especially if presented in solid form) were investigated and the results showed that the first derivative can minimise spectral changes associated with tablet geometry, physical differences in their faces and position in relation to the probe beam. The power of NIRS in distinguishing among similar pharmaceuticals was demonstrated and a protocol is proposed to construct a multivariate model and to include it in a library allowing testing for drug authenticity. The methodology was evaluated with real samples of counterfeit drugs and was able to recognise all those presenting changes in composition as false. The results show unequivocally the potential of NIRS for rapid, on-site and non-destructive identification of counterfeit pharmaceuticals.
dc.description126
dc.description2218-24
dc.languageeng
dc.relationThe Analyst
dc.relationAnalyst
dc.rightsaberto
dc.rights
dc.sourcePubMed
dc.subjectAlgorithms
dc.subjectDrug And Narcotic Control
dc.subjectMultivariate Analysis
dc.subjectSpectroscopy, Near-infrared
dc.subjectStreet Drugs
dc.titleIdentification Of Counterfeit Drugs Using Near-infrared Spectroscopy.
dc.typeArtículos de revistas


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