title: Concurrent study of stability and cytotoxicity of a novel nanoemulsion system - an artificial neural networks approach.
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.
authors: a Department of Molecular Biology , Ahar Branch, Islamic Azad University , Ahar , Iran.
authors: Negar
authors: N
authors: Seyedhassantehrani
authors: b Department of Tissue Engineering, School of Advanced Technologies in Medicine , Tehran University of Medical Sciences , Tehran , Iran.
authors: Roya
authors: R
authors: Karimi
authors: c Department of Molecular Medicine, School of Advanced Technologies in Medicine , Tehran University of Medical Sciences , Tehran , Iran.
authors: Gholamreza
authors: G
authors: Tavoosidana
authors: d Department of Medical Nanotechnology, School of Advanced Technologies in Medicine , Tehran University of Medical Sciences , Tehran , Iran.|e Medical Biomaterials Research Center (MBRC) , Tehran University of Medical Sciences , Tehran , Iran.
authors: Amir
authors: A
authors: Amani
mesh_terms: D002470:Cell Survival / Q000187:drug effects; D004337:Drug Carriers / Q000737:chemistry* / Q000633:toxicity; D004355:Drug Stability; D004655:Emulsions; D006801:Humans; D061986:MCF-7 Cells; D008962:Models, Theoretical; D053758:Nanoparticles / Q000737:chemistry* / Q000633:toxicity; D016571:Neural Networks, Computer; D013501:Surface-Active Agents / Q000737:chemistry* / Q000633:toxicity
chemical_list: D004337:Drug Carriers; D004655:Emulsions; D013501:Surface-Active Agents
keywords: Nanoemulsion; artificial neural networks; cell viability; optimization; stability