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Preparation and Optimization of N-Acetylcysteine Nanosuspension through Nanoprecipitation: An Artificial Neural Networks Study

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Abstract

Purpose

Nanosuspensions, as a promising strategy to improve the solubility and bioavailability of poorly water soluble drugs, have been widely investigated in recent years. However, no comprehensive work so far has detailed the effect of independent processing/formulation parameters on the quality of the prepared nanosuspension.

Methods

In the present study, the relations between solvent flow rate, stirring rate of antisolvent and surfactant concentration (i.e., inputs) on size, and polydispersity index (PDI) (i.e., outputs) of an N-acetylcysteine nanosuspension were investigated using artificial neural networks (ANNs).

Results and conclusion

The response surfaces, generated as 3D graphs after ANNs modeling, demonstrated that all the three factors have a reverse effect on size and PDI. The dominant factor appeared to be the concentration of surfactant. Overall, it was found that the optimum formulation (i.e., minimum size and PDI value) is obtained at high values of surfactant concentration, solvent flow rate, and stirring rate (i.e., >0.9 mg/ml and 120 ml/h and 500 rpm, respectively).

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Acknowledgment

This research was supported by Iran National Science Foundation, grant No. 91003529.

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Authors and Affiliations

  1. Department of Biology, Faculty of Science, University of Guilan, Rasht, Iran

    Shayan Abbasi

  2. Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran

    Ali Afrasiabi

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

    Ali Akbar Karimi Zarchi & Amir Amani

  4. Department of Pharmaceutical Biotechnology, Biotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran

    Mohammad Ali Faramarzi

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

    Gholamreza Tavoosidana

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

    Amir Amani

Authors
  1. Shayan Abbasi
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  2. Ali Afrasiabi
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  3. Ali Akbar Karimi Zarchi
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  4. Mohammad Ali Faramarzi
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  6. Amir Amani
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Corresponding author

Correspondence to Amir Amani.

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Abbasi, S., Afrasiabi, A., Karimi Zarchi, A.A. et al. Preparation and Optimization of N-Acetylcysteine Nanosuspension through Nanoprecipitation: An Artificial Neural Networks Study. J Pharm Innov 9, 115–120 (2014). https://doi.org/10.1007/s12247-014-9178-1

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  • DOI: https://doi.org/10.1007/s12247-014-9178-1

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