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Métodos multivariantes aplicados a la efectividad de los disolventes en la industria farmacéutica
dc.contributor.author | De La Hoz, Enrique Jose | spa |
dc.contributor.author | Fontalvo Herrera, Tomás | spa |
dc.contributor.author | Mendoza Mendoza, Adel | spa |
dc.date.accessioned | 2019-02-12T23:44:16Z | |
dc.date.available | 2019-02-12T23:44:16Z | |
dc.date.issued | 2018-08-01 | |
dc.identifier.citation | E. De La Hoz Domínguez, T. Fontalvo Herrera y A. Mendoza, “Métodos Multivariantes aplicados a la efectividad de los disolventes en la industria farmacéutica,” INGE CUC, vol. 14, no. 1, pp. 133-140, 2018. DOI: https://doi.org/10.17981/ingecuc.14.1.2018.12 | spa |
dc.identifier.uri | http://hdl.handle.net/11323/2435 | spa |
dc.description.abstract | Introducción: Los disolventes son agentes químicos usados en la industria farmacéutica y su importancia radica en que su presencia puede acelerar o retardar la reacción de un fármaco hasta un millón de veces. Objetivo: La presente investigación analiza los diferentes tipos de disolventes para evaluar la existencia de grupos en los cuales se puedan identificar patrones relacionados con la efectividad de esos disolventes en la producción de fármacos. Metodología: El estudio consta de 4 fases: 1) análisis de componentes principales, 2) análisis de clúster, 3) análisis discriminante, y 4) interpretación de resultados y conclusiones. Resultados: Se identificaron tres conglomerados categorizados como supercríticos, microesféricos y biodegradables. La prueba de T de Hotelling arroja un p-valor de 0, poniendo en evidencia la diferencia entre grupos. El discriminante cuadrático arroja una precisión del 96% para la clasificación de disolventes. Conclusiones: El análisis multivariante permite modelar la efectividad de los disolventes en la industria farmacéutica, generando una metodología objetiva de decisión para la clasificación de disolventes según un enfoque de efectividad. | spa |
dc.description.abstract | Introduction− Solvents are chemical agents used in the pharmaceutical industry. Their importance is that their presence can accelerate or delay the reaction of a drug up to a million times.Objective−The present investigation analyzes the diffe-rent types of solvents in order to evaluate the existence of groups in which patterns related to the effectiveness of the mentioned solvents in medicine production can be identified.Methodology−The study is comprised of 4 phases: 1) Principal component analysis; 2) Cluster analysis; 3) Dis-criminant analysis; 4) Interpretation of results and con-clusions.Results− Three clusters, categorized as supercritical, microspherical and biodegradable, were identified. The Hotelling T test yields a p-value of 0, evidencing the diffe-rence between groups. The quadratic discriminant yields a precision of a 96% for the classification of solvents.Conclusions−The multivariate analysis allows modeling the effectiveness of solvents in the pharmaceutical indus-try. Hence, generating an objective decision methodology for the classification of solvents according to an effective-ness approach. | eng |
dc.format.extent | 8 páginas | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | spa | |
dc.publisher | Corporación Universidad de la Costa | spa |
dc.relation.ispartofseries | INGE CUC; Vol. 14, Núm. 1 (2018) | spa |
dc.source | INGE CUC | spa |
dc.title | Métodos multivariantes aplicados a la efectividad de los disolventes en la industria farmacéutica | spa |
dc.type | Artículo de revista | spa |
dc.identifier.url | https://doi.org/10.17981/ingecuc.14.1.2018.12 | spa |
dc.source.url | https://revistascientificas.cuc.edu.co/ingecuc/article/view/1743 | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.identifier.doi | 10.17981/ingecuc.14.1.2018.12 | spa |
dc.identifier.eissn | 2382-4700 | spa |
dc.identifier.instname | Corporación Universidad de la Costa | spa |
dc.identifier.pissn | 0122-6517 | spa |
dc.identifier.reponame | REDICUC - Repositorio CUC | spa |
dc.identifier.repourl | https://repositorio.cuc.edu.co/ | spa |
dc.relation.ispartofjournal | INGE CUC | spa |
dc.relation.ispartofjournal | INGE CUC | spa |
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dc.subject.proposal | Análisis multivariante | spa |
dc.subject.proposal | Disolventes | spa |
dc.subject.proposal | Componentes principales | spa |
dc.subject.proposal | Clustering | spa |
dc.subject.proposal | Clasificación | spa |
dc.subject.proposal | Multivariant analysis | eng |
dc.subject.proposal | Solvents | eng |
dc.subject.proposal | Principal components | eng |
dc.subject.proposal | Classification | eng |
dc.title.translated | Application of multivariate methods in the effectiveness of solvents in the pharmaceutical industry | eng |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | spa |
dc.type.content | Text | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/ART | spa |
dc.type.version | info:eu-repo/semantics/acceptedVersion | spa |
dc.relation.citationendpage | 140 | spa |
dc.relation.citationstartpage | 133 | spa |
dc.relation.citationissue | 1 | spa |
dc.relation.citationvolume | 14 | spa |
dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | spa |
dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | spa |
dc.relation.ispartofjournalabbrev | INGE CUC | spa |
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