Study Of The Homogeneity Of Drug Loaded In Polymeric Films Using Near-infrared Chemical Imaging And Split-plot Design

dc.creatorAlexandrino G.L.
dc.creatorPoppi R.J.
dc.date2014
dc.date2015-06-25T17:54:38Z
dc.date2015-11-26T14:35:50Z
dc.date2015-06-25T17:54:38Z
dc.date2015-11-26T14:35:50Z
dc.date.accessioned2018-03-28T21:39:18Z
dc.date.available2018-03-28T21:39:18Z
dc.identifier
dc.identifierJournal Of Pharmaceutical Sciences. John Wiley And Sons Inc., v. 103, n. 8, p. 2356 - 2365, 2014.
dc.identifier223549
dc.identifier10.1002/jps.24051
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84905093628&partnerID=40&md5=2c8b8eef6d64e43901c31c5c53fcd4af
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/86730
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/86730
dc.identifier2-s2.0-84905093628
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1248494
dc.descriptionSplit-plot design (SPD) and near-infrared chemical imaging were used to study the homogeneity of the drug paracetamol loaded in films and prepared from mixtures of the biocompatible polymers hydroxypropyl methylcellulose, polyvinylpyrrolidone, and polyethyleneglycol. The study was split into two parts: a partial least-squares (PLS) model was developed for a pixel-to-pixel quantification of the drug loaded into films. Afterwards, a SPD was developed to study the influence of the polymeric composition of films and the two process conditions related to their preparation (percentage of the drug in the formulations and curing temperature) on the homogeneity of the drug dispersed in the polymeric matrix. Chemical images of each formulation of the SPD were obtained by pixel-to-pixel predictions of the drug using the PLS model of the first part, and macropixel analyses were performed for each image to obtain the y-responses (homogeneity parameter). The design was modeled using PLS regression, allowing only the most relevant factors to remain in the final model. The interpretation of the SPD was enhanced by utilizing the orthogonal PLS algorithm, where the y-orthogonal variations in the design were separated from the y-correlated variation. © 2014 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 103:2356-2365, 2014 © 2014 Wiley Periodicals, Inc. and the American Pharmacists Association.
dc.description103
dc.description8
dc.description2356
dc.description2365
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dc.languageen
dc.publisherJohn Wiley and Sons Inc.
dc.relationJournal of Pharmaceutical Sciences
dc.rightsfechado
dc.sourceScopus
dc.titleStudy Of The Homogeneity Of Drug Loaded In Polymeric Films Using Near-infrared Chemical Imaging And Split-plot Design
dc.typeArtículos de revistas


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