Literature DB >> 16401406

Efficient size control of amphiphilic cyclodextrin nanoparticles through a statistical mixture design methodology.

Luc Choisnard1, Annabelle Géze, Muriel Bigan, Jean-Luc Putaux, Denis Wouessidjewe.   

Abstract

PURPOSE: the aim of the study was to investigate size control of amphiphilic beta-cyclodextrin nanoparticles obtained by solvent displacement technique.
METHODS: An experimental design methodology for mixture design was undertaken using D-optimal approach with the following technique variables: water fraction X1 (40-70% v/v), acetone fraction X2 (0-60% v/v) and ethanol fraction X3 (0-60% v/v).
RESULTS: The resulting quadratic model obtained after logarithmic transformation of data and partial least-square regression was statistically validated and experimentally checked. Also, the morphology of the colloidal nanoparticles from selected experiments was observed by cryo-transmission electron microscopy.
CONCLUSIONS: This experimental design approach allowed to produce interesting amphiphilic beta-cyclodextrin nanoparticles with a predicted mean size varying from 60 to 400 nm.

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Year:  2005        PMID: 16401406

Source DB:  PubMed          Journal:  J Pharm Pharm Sci        ISSN: 1482-1826            Impact factor:   2.327


  4 in total

1.  A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models.

Authors:  Weng Kee Wong; Ray-Bing Chen; Chien-Chih Huang; Weichung Wang
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

Review 2.  Self-assemblies of amphiphilic cyclodextrins.

Authors:  Michel Roux; Bruno Perly; Florence Djedaïni-Pilard
Journal:  Eur Biophys J       Date:  2007-07-31       Impact factor: 1.733

3.  Model-based optimal design of experiments - semidefinite and nonlinear programming formulations.

Authors:  Belmiro P M Duarte; Weng Kee Wong; Nuno M C Oliveira
Journal:  Chemometr Intell Lab Syst       Date:  2016-02-15       Impact factor: 3.491

4.  Developing micro-/nanoparticulate drug delivery systems using "design of experiments".

Authors:  Bhupinder Singh; Rahul Bhatowa; Chandra Bhushan Tripathi; Rishi Kapil
Journal:  Int J Pharm Investig       Date:  2011-04
  4 in total

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