Pharm Sci. 2021;27(2): 230-237.
doi: 10.34172/PS.2020.74
  Abstract View: 190
  PDF Download: 99

Research Article

Effect of Processing/Formulation Parameters on Particle Size of Nanoemulsions Containing Ibuprofen - An Artificial Neural Networks Study

Ali Hanafi 1, Amir Amani 2,3* ORCID logo

1 Department of Organic and Biochemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.
2 Natural Products and Medicinal Plants Research Center, North Khorasan University of Medical Sciences, Bojnurd, Iran.
3 Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.


Background: Nanoemulsions are colloidal transparent systems for the delivery of hydrophobic drugs. This study aimed to determine the effect of parameters affecting particle size of a nanoemulsion containing ibuprofen using artificial neural networks (ANNs).

Methods: Nanoemulsion samples with different values of independent variables, namely, concentration of ethanol, ibuprofen and Tween 80 as well as exposure (homogenization) time were prepared and their particle size was measured using dynamic light scattering (DLS). The data were then modelled by ANNs.

Results: From the results, increasing the exposure time had a positive effect on reducing droplet size. The effect of concentration of ethanol and Tween 80 on droplet size depended on the amount of ibuprofen. Our results demonstrate that ibuprofen concentration also had a reverse relation with the size of the nanoemulsions.

Conclusion: It was concluded that to obtain minimum particle size, exposure (homogenization)time should be maximized.

Keywords: Nanoemulsion, Ibuprofen, Particle size, Artificial neural networks
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Submitted: 22 Jun 2020
Revision: 31 Aug 2020
Accepted: 16 Sep 2020
ePublished: 02 Oct 2020
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