Articolul precedent |
Articolul urmator |
434 7 |
Ultima descărcare din IBN: 2024-03-28 16:27 |
SM ISO690:2012 EVTODIENCO, Vladilena, UNCU, Andrei, DONICI, Elena, UNCU, Livia. Aplicarea design-ului factorial în optimizarea compoziției capsulelor. In: Congresul consacrat aniversării a 75-a de la fondarea Universității de Stat de Medicină şi Farmacie „Nicolae Testemiţanu”, 21-23 octombrie 2020, Chişinău. Chişinău: USMF, 2020, p. 663. |
EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
Congresul consacrat aniversării a 75-a de la fondarea Universității de Stat de Medicină şi Farmacie „Nicolae Testemiţanu” 2020 | ||||||
Congresul "Congresul consacrat aniversării a 75-a de la fondarea Universității de Stat de Medicină şi Farmacie „Nicolae Testemiţanu”" Chişinău, Moldova, 21-23 octombrie 2020 | ||||||
|
||||||
Pag. 663-663 | ||||||
|
||||||
Descarcă PDF | ||||||
Rezumat | ||||||
Background. The use of experimental design reduces the number of studies required to evaluate the set of parameters and also determine their interaction. The optimization of the composition of the capsules supposes the selection of the variant that will ensure an optimal dispersion after the dissolution of the shell. Objective of the study. Evaluation of the types of experimental design and of the impact of using factorial design in the capsule preformulation-optimization process. Material and Methods. 91 abstracts and articles from systematic research in the Cochrane Electronic Library, Willey, MEDLINE databases, CAB Abstracts © CAB and SciSearch © The Thomson Corporation. Results. The analyzed bibliographic sources report several methods for optimizing the composition of the capsules: factorial design (64% of sources), Box – Behnken model (27%) and CCD design (Central Composite Designs) (9% of sources). The factorial model is the most used, because it allows modeling the surface of complex responses. It aims to establish the relationships between independent variables (X): type and concentration of excipients (2-3 most relevant) and dependent (Y): time of disintegration, wetting and dissolution. The listed parameters are in a relationship of interdependence and simultaneously condition the properties of the encapsulated material. Conclusion. Factor design has been found to be most effective for experiments involving the study of the effects of two or more factors. |
||||||
Cuvinte-cheie optimization, factorial design, capsules, optimizare, design-ul factorial, capsule |
||||||
|