Concurrent Study of Stability and Cytotoxicity of a Novel Nanoemulsion System

Concurrent Study of Stability and Cytotoxicity of a Novel Nanoemulsion System–An Artificial Neural Networks Approach Publisher Pubmed

Seyedhassantehrani N¹ ; Karimi R² ; Tavoosidana G³ ; Amani A^{4, 5}

Show Affiliations

1. Department of Molecular Biology, Ahar Branch, Islamic Azad University, Ahar, Iran
2. Department of Tissue Engineering, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
3. Department of Molecular Medicine, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
4. Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
5. Medical Biomaterials Research Center (MBRC), Tehran University of Medical Sciences, Tehran, Iran

Source: Pharmaceutical Development and Technology Published:2017

Abstract

Problems commonly associated with using nanoemulsions are their cytotoxic effects and low stability profiles. Here, for the first time, concentrations of ingredients of a nanoemulsion system were investigated to obtain the most stable nanoemulsion system with the least cytotoxic effect on MCF7 cell line. Artificial neural networks (ANNs) were used to model the experimentally obtained data. Surfactant concentration was found to be the dominant factor in determining the stability–surfactant concentration above a critical point made the preparation unstable, while it appeared not to be influencing the cytotoxicity. Concentration of oil showed a direct relationship to the cytotoxicity with a minimum value required to provide an acceptable safety profile for the preparation. Co-surfactant appeared not to be considerably effective on neither stability nor cytotoxicity. To obtain the optimum preparation with maximum stability and minimum cytotoxicity, surfactant and oil values need to be kept at their maximum and minimum possible, respectively. © 2016 Informa UK Limited, trading as Taylor & Francis Group.

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Seyed Nasser Ostad (2)

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Style	Citing Format
MLA	Seyedhassantehrani N, et al.. "Concurrent Study of Stability and Cytotoxicity of a Novel Nanoemulsion System–An Artificial Neural Networks Approach." Pharmaceutical Development and Technology, vol. 22, no. 3, 2017, pp. 383-389.
APA	Seyedhassantehrani N, Karimi R, Tavoosidana G, Amani A (2017). Concurrent Study of Stability and Cytotoxicity of a Novel Nanoemulsion System–An Artificial Neural Networks Approach. Pharmaceutical Development and Technology, 22(3), 383-389.
Chicago	Seyedhassantehrani N, Karimi R, Tavoosidana G, Amani A. "Concurrent Study of Stability and Cytotoxicity of a Novel Nanoemulsion System–An Artificial Neural Networks Approach." Pharmaceutical Development and Technology 22, no. 3 (2017): 383-389.
Harvard	Seyedhassantehrani N et al. (2017) 'Concurrent Study of Stability and Cytotoxicity of a Novel Nanoemulsion System–An Artificial Neural Networks Approach', Pharmaceutical Development and Technology, 22(3), pp. 383-389.
Vancouver	Seyedhassantehrani N, Karimi R, Tavoosidana G, Amani A. Concurrent Study of Stability and Cytotoxicity of a Novel Nanoemulsion System–An Artificial Neural Networks Approach. Pharmaceutical Development and Technology. 2017;22(3):383-389.
BibTex	@article{ author = {Seyedhassantehrani N and Karimi R and Tavoosidana G and Amani A}, title = {Concurrent Study of Stability and Cytotoxicity of a Novel Nanoemulsion System–An Artificial Neural Networks Approach}, journal = {Pharmaceutical Development and Technology}, volume = {22}, number = {3}, pages = {383-389}, year = {2017} }
RIS	TY - JOUR AU - Seyedhassantehrani N AU - Karimi R AU - Tavoosidana G AU - Amani A TI - Concurrent Study of Stability and Cytotoxicity of a Novel Nanoemulsion System–An Artificial Neural Networks Approach JO - Pharmaceutical Development and Technology VL - 22 IS - 3 SP - 383 EP - 389 PY - 2017 ER -

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