dc.creatorCarneiro, RL
dc.creatorPoppi, RJ
dc.date2012
dc.dateAUG
dc.date2014-07-30T13:42:39Z
dc.date2015-11-26T18:05:05Z
dc.date2014-07-30T13:42:39Z
dc.date2015-11-26T18:05:05Z
dc.date.accessioned2018-03-29T00:47:20Z
dc.date.available2018-03-29T00:47:20Z
dc.identifierJournal Of The Brazilian Chemical Society. Soc Brasileira Quimica, v. 23, n. 8, n. 1570, n. 1576, 2012.
dc.identifier0103-5053
dc.identifierWOS:000309162200021
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/53650
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/53650
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1293038
dc.descriptionIn this work, near infrared (NIR) imaging spectroscopy was employed in the study of the distribution of the active pharmaceutical ingredient (API) spironolactone and its excipients in tablets. Analyses were performed using 50 mu m spatial resolution to analyze 16 mm(2) of each standard tablet. Interval partial least squares models were used for API and excipients quantification in every pixel in order to obtain concentration maps for each compound. It was obtained errors of quantification between 0.49 and 1.26% when performed the cross-validation using spectral average of each tablet. These calibration models were used to predict individual concentration of each compound in the tablet, in every pixel. The average concentration of all pixels, for each compound yield errors, was between 0.05 and 1.06%. These results indicate that the models were able to quantify all compounds in each pixel. This approach is necessary since it is not possible to know the real concentration of each compound in the pixels.
dc.description23
dc.description8
dc.description1570
dc.description1576
dc.languageen
dc.publisherSoc Brasileira Quimica
dc.publisherSao Paulo
dc.publisherBrasil
dc.relationJournal Of The Brazilian Chemical Society
dc.relationJ. Braz. Chem. Soc.
dc.rightsaberto
dc.sourceWeb of Science
dc.subjectimage spectroscopy
dc.subjectnear infrared
dc.subjectspironolactone
dc.subjectcontent uniformity
dc.subjectPharmaceutical Solid Forms
dc.subjectContent Uniformity
dc.subjectNir-ci
dc.subjectHomogeneity
dc.subjectQuantification
dc.subjectBlends
dc.subjectImages
dc.subjectRaman
dc.subjectIpls
dc.subjectBeef
dc.titleA Quantitative Method using Near Infrared Imaging Spectroscopy for Determination of Surface Composition of Tablet Dosage Forms: an Example of Spirolactone Tablets
dc.typeArtículos de revistas


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