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Using Factorial Experimental Design to Prepare Size-Tuned Nanovesicles

Author:
García Manrique, PabloUniovi authority; Matos González, MaríaUniovi authority; Gutiérrez Cervelló, GemmaUniovi authority; Estupiñán Sánchez, Óscar Rafael; Blanco López, María del CarmenUniovi authority; Pazos Medina, María del CarmenUniovi authority
Publication date:
2016
Editorial:

American Chemical Society

Publisher version:
http://dx.doi.org/10.1021/acs.iecr.6b01552
Citación:
Industrial & Engineering Chemistry Research, 55(34), p. 9164-9175 (2016); doi:10.1021/acs.iecr.6b01552
Descripción física:
p. 9164–9175
Abstract:

The aim of this work was to prepare size-tuned nanovesicles using a modified ethanol injection method (EIM) by applying factorial experimental design. Stable size-tuned nanovesicles (liposomes and niosomes) with controlled sizes and high EE values for hydrophobic compounds (Sudan Red 7B and vitamin D3) were achieved. Equations that were able to predict the mean particle sizes, in the ranges of 55−156 nm for liposomes and 224−362 nm for niosomes with PDI values between 0.032 and 0.378, were obtained. These customized soft nanoparticles could be suitable in food, cosmetic, pharmaceutical, or medical applications, such as diagnosis or therapy

The aim of this work was to prepare size-tuned nanovesicles using a modified ethanol injection method (EIM) by applying factorial experimental design. Stable size-tuned nanovesicles (liposomes and niosomes) with controlled sizes and high EE values for hydrophobic compounds (Sudan Red 7B and vitamin D3) were achieved. Equations that were able to predict the mean particle sizes, in the ranges of 55−156 nm for liposomes and 224−362 nm for niosomes with PDI values between 0.032 and 0.378, were obtained. These customized soft nanoparticles could be suitable in food, cosmetic, pharmaceutical, or medical applications, such as diagnosis or therapy

URI:
http://hdl.handle.net/10651/40118
ISSN:
0888-5885
DOI:
10.1021/acs.iecr.6b01552
Patrocinado por:

This work was supported by the Ministerio de Economía y Competitividad (MINECO, Spain), under Grant MINECO-13-CTQ2013-47396-R. This study was also cofinanced by the Consejeria de Educación y Ciencia del Principado de Asturias (ref FC-04-COF-50-MEC , PCTI Asturias 2006-2009, ref EQP06-024, and FC15-GRUPIN14-022). We especially thank Prof. Antonia Salas (University of Oviedo) for her advice with the statistical work.

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