Shanaghi Elaheh, Aghajani Mahdi, Esmaeli Fariba, Faramarzi Mohammad Ali, Jahandar Hoda, Amani Amir
Department of Pharmaceutical Biotechnology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Department of Biotechnology, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Avicenna J Med Biotechnol. 2020 Oct-Dec;12(4):251-254.
Electrospray (Electrohydrodynamic atomization) has been introduced as a novel approach to prepare nanoparticles. This work aimed to prepare SLNs through electrospray and evaluate factors affecting particle size of prepared Solid Lipid Nanoparticles (SLNs).
SLNs were prepared by electrospray method. To study the factors affecting particle size of SLNs, Artificial Neural Networks (ANNs) were employed. Four input variables, namely, Tween 80 concentration, lipid concentration, flow rate, and polymer to lipid ratio were analyzed through ANNs and particle size was the output.
The analyzed model presented concentration of Tween 80 (surfactant) and lipid as effective parameters on particle size. By increasing surfactant and decreasing lipid concentration, minimum size could be obtained, while flow rate and polymer to lipid ratio appeared not to be effective.
Concentration of surfactant/lipid plays the most important role in determining the size.
电喷雾（电流体动力学雾化）已作为一种制备纳米颗粒的新方法被引入。本研究旨在通过电喷雾制备固体脂质纳米粒（SLNs），并评估影响所制备的固体脂质纳米粒粒径的因素。
采用电喷雾法制备SLNs。为研究影响SLNs粒径的因素，使用了人工神经网络（ANNs）。通过人工神经网络分析四个输入变量，即吐温80浓度、脂质浓度、流速和聚合物与脂质的比例，粒径为输出结果。
分析模型表明吐温80（表面活性剂）浓度和脂质是影响粒径的有效参数。通过增加表面活性剂浓度和降低脂质浓度可获得最小粒径，而流速和聚合物与脂质的比例似乎没有影响。
表面活性剂/脂质浓度在决定粒径方面起着最重要的作用。
