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Modeling the Parameters Involved in Preparation of PLA Nanoparticles Carrying Hydrophobic Drug Molecules Using Artificial Neural Networks

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Abstract

Purpose

Artificial neural networks (ANNs) are used to optimize a formulation of poly(lactic acid) (PLA) nanoparticles containing hydrophobic drug molecules through a study of the critical parameters affecting nanoparticle size.

Methods

We evaluate the effect of input variables, including concentrations of PLA and Tween 80, amplitude of ultrasound wave, and sonication time on the formation of PLA nanoparticles, which were prepared using a solvent evaporation method. Budesonide was used as a model hydrophobic drug. An ANN model was created using training data and evaluated for prediction capability using validation data.

Results

The ANN model demonstrated that reducing PLA concentration and increasing Tween 80 concentration provided optimum conditions for the preparation of small particle size. Additionally, the simultaneous use of high sonication time and amplitude has an adverse effect on particle diameter.

Conclusion

By defining the effects of each parameter on the size of PLA nanoparticles, this study demonstrated the feasibility of using an ANN model to optimize the conditions for achieving minimum particle size in hydrophobic drug-loaded PLA nanoparticles.

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Authors and Affiliations

  1. Department of Microbiology, Faculty of Veterinary Medicine, Islamic Azad University, Karaj Branch, Karaj, Iran

    Mohammad Ali Amini

  2. Department of Pharmaceutical Biotechnology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, 14174, Iran

    Mohammad Ali Faramarzi

  3. Biotechnology Research Center, Tehran University of Medical Sciences, Tehran, 14174, Iran

    Mohammad Ali Faramarzi & Amir Amani

  4. Department of Mechanical Engineering and Material Science, University of Pittsburgh, Pittsburgh, PA 15219, USA

    Dariush Mohammadyani

  5. Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran

    Elina Esmaeilzadeh-Gharehdaghi & Amir Amani

  6. Medical Biomaterials Research Center, Tehran University of Medical Sciences, Tehran, Iran

    Amir Amani

Authors
  1. Mohammad Ali Amini
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  2. Mohammad Ali Faramarzi
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  3. Dariush Mohammadyani
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  4. Elina Esmaeilzadeh-Gharehdaghi
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  5. Amir Amani
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Correspondence to Amir Amani.

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Amini, M.A., Faramarzi, M.A., Mohammadyani, D. et al. Modeling the Parameters Involved in Preparation of PLA Nanoparticles Carrying Hydrophobic Drug Molecules Using Artificial Neural Networks. J Pharm Innov 8, 111–120 (2013). https://doi.org/10.1007/s12247-013-9151-4

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  • DOI: https://doi.org/10.1007/s12247-013-9151-4

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