Literature DB >> 21456188

Modeling and optimization of electrospun polyvinylacetate (PVAc) nanofibers by response surface methodology (RSM).

Ju-Young Park1, Wang-Geun Shim, In-Hwa Lee.   

Abstract

Response surface methodology (RSM), a collection of statistical and mathematical techniques, has been widely used to optimize and design operating conditions. Although this method is suitable for optimizing experimental conditions, very few attempts have been made on the electrospinning process. In this work, RSM was used to model and optimize of the electrospinning parameters for polyvinylacetate (PVAc) nanofibers. PVAc solution in acetone was electrospun under various conditions such as concentration of spinning solution and applied voltage. The experimental results indicate that concentrations of solution and applied voltage played an important role on the diameter size of PVAc nanofibers. The second order polynomial function was used to correlate the fiber diameter with the production variables. The predicted fiber diameters were in good agreement with the experimental results.

Entities:  

Year:  2011        PMID: 21456188     DOI: 10.1166/jnn.2011.3420

Source DB:  PubMed          Journal:  J Nanosci Nanotechnol        ISSN: 1533-4880


  2 in total

1.  Evaluation of Chitosan-Tripolyphosphate Nanoparticles as a p-shRNA Delivery Vector: Formulation, Optimization and Cellular Uptake Study.

Authors:  Mahdi Karimi; Pinar Avci; Mohsen Ahi; Tarane Gazori; Michael R Hamblin; Hossein Naderi-Manesh
Journal:  J Nanopharm Drug Deliv       Date:  2013-09-01

2.  Modelling and Optimization of Polycaprolactone Ultrafine-Fibres Electrospinning Process Using Response Surface Methodology.

Authors:  Adhi Anindyajati; Philip Boughton; Andrew J Ruys
Journal:  Materials (Basel)       Date:  2018-03-17       Impact factor: 3.623

  2 in total

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