Electrospinning of polyacrylonitrile (PAN) solution: Effect of conductive additive and filler on the process

Heikkilä, Pirjo; Harlin, Ali

doi:10.3144/expresspolymlett.2009.53

Cited by 105 publications

(72 citation statements)

References 41 publications

(38 reference statements)

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“…In particular, the utilisation of carbonised electrospun nanofibres as electrode materials in supercapacitors and fuel cells has been recommended in some references [5][6][7][8][9][10]. In addition to the electrospinning of nanofibres from a pure polymer, it is possible to use this technique for encapsulation of fillers within the nanofibre structure [11][12]. Carbon nanotubes (CNTs) as nanostructure fillers have excellent mechanical, thermal and optical properties, as well as a low electrical percolation threshold [13][14].…”

Section: Introductionmentioning

confidence: 99%

Preparation of carbon nanotube embedded in polyacrylonitrile (pan) nanofibre composites by electrospinning process

Pilehrood¹,

Heikkilä²,

Harlin³

2012

Autex Research Journal

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Section: Introductionmentioning

confidence: 99%

Preparation of carbon nanotube embedded in polyacrylonitrile (pan) nanofibre composites by electrospinning process

Pilehrood¹,

Heikkilä²,

Harlin³

2012

Autex Research Journal

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“…The prepared non-woven web is removable from the grounded collector as a sheet. There are numerous promising research activities in various relevant areas such as composites [6][7][8][9][10][11], sterile filtration [12], wound dressing [13,14], wound healing [15], tissue engineering [16][17][18][19] and semiconductors [20]. This technique is relatively new in the field of medical industry and ES is quite slightly known in pharmaceutical technology, where most of the relevant papers deal with sustained drug release [21].…”

Section: Introductionmentioning

confidence: 99%

Electrospun water soluble polymer mat for ultrafast release of Donepezil HCl

Nagy¹,

Nyúl²,

Wagner³

et al. 2010

Express Polym. Lett.

118

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Abstract. Electrostatic spinning (Electrospinning, ES) was applied to prepare Donepezil HCl loaded nanofibers as a potential orally dissolving dosage form. Electrospinning of water solutions of different polymers were performed in order to fabricate a consistent and removable web on the collector with ultra-fast dissolution in water based media. Poly(vinyl-alcohol) of low molecular weight was found to be the most appropriate for this purpose. Morphology of the prepared nanofibers was characterized by scanning electron microscope as a function of viscosity and drug content. Diameters of the fibers were between 100 and 300 nm with narrow distribution. In vitro drug release of the webs was immediate (less than 30 s) after immersion independently of their drug content owing to the formed huge surface area, while cast films with the same compositions and commercial tablets needed 30 min or more for complete dissolution. The developed technology for the preparation of orally dissolving web (ODW) formulations is a promising way for producing effective and acceptable dosage forms for children, older people and patients with dysphagia.

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“…In this study the effect of flow rate will be assumed to be weak and thus not essential for the predictive model. Experiments have shown the nozzle diameter to have a statistically weak effect on fibre diameter and so will not be included in this study [56][57][58].…”

Section: Experimental Parametersmentioning

confidence: 99%

Electrospinning predictions using artificial neural networks

Brooks

Tucker

2015

Polymer

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Abstract:Electrospinning is a relatively simple method of producing nanofibres. Currently there is no method to predict the characteristics of electrospun fibres for a wide range of polymer/solvent combinations and concentrations without first measuring a number of solution properties. This paper shows how artificial neural networks can be trained to make electrospinning predictions using only commonly available prior knowledge of the polymer and solvent. Firstly, a probabilistic neural network was trained to predict the classification of three possibilities; no fibres (electrospraying), beaded fibres and smooth fibres with over 80% correct predictions. Secondly, a generalised neural network was trained to predict fibre diameter with an average absolute percentage error of 22.3% for the validation data. These predictive tools can be used to reduce the parameter space prior to scoping exercises. Graphical Abstract:Predicted versus measured electrospun-fibre diameter from an artificial neural network trained using data from 13 different polymer/solvent combinations from over 20 independent studies.

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Electrospinning of polyacrylonitrile (PAN) solution: Effect of conductive additive and filler on the process

Cited by 105 publications

References 41 publications

Preparation of carbon nanotube embedded in polyacrylonitrile (pan) nanofibre composites by electrospinning process

Preparation of carbon nanotube embedded in polyacrylonitrile (pan) nanofibre composites by electrospinning process

Electrospun water soluble polymer mat for ultrafast release of Donepezil HCl

Electrospinning predictions using artificial neural networks

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