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



Hanafi A1 ; Amani A2, 3
Authors
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Authors Affiliations
  1. 1. Department of Organic and Biochemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
  2. 2. Natural Products and Medicinal Plants Research Center, North Khorasan University of Medical Sciences, Bojnurd, Iran
  3. 3. Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran

Source: Pharmaceutical Sciences Published:2021


Abstract

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. © 2021 The Author(s).
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