Title: Optimizing microfuidic preparation parameters of nanosuspension to evaluate stability in nanoprecipitation of stable‑iodine (127I)
Journal: SN Applied Sciences
Author: 1. Nooshin KianvashRad, 2. Elham Barkhordari, 3,4. Seyed Hossein Mostafavi, 5,6. Mahdi Aghajani
Year: 2019
Address: 1. Department of Medical Nanotechnology, Faculty of Advanced Sciences and Technology, Islamic Azad University, Pharmaceutical Sciences Branch (IAUPS), Tehran, Iran 2. Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran 3. Department of Bioengineering, University of California, Riverside, CA 92521, USA 4. Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran 5. Department of Nanotechnology, The Persian Gulf Nuclear Medicine Research Center, The Persian Gulf Biomedical Sciences Institute, Bushehr University of Medical Sciences, Bushehr, Iran 6. School of Advanced Technologies in Medicine, Golestan University of Medical Sciences, Gorgan, Iran
Abstract: The aim of the current study was the development of nanosuspension stability in nanoprecipitation using microfuidic devices. Also, it is desirable to understand how the microfuidic preparation parameters infuenced the stability of the stable-iodine (127I) nanosuspension. In optimization process through artifcial neural networks (ANNs), the relations between input and output variables were investigated for 37 samples obtained by microfuidic nanoprecipitation process. Solvent temperature, antisolvent fow rate, and solvent fow rate were used as input variables, and the sedimentation time and polydispersity index (PDI) were considered as output parameters. Sedimentation time as an indicator of physical stability of nanosuspension was evaluated by observation of a densely packed sediment. Also, size and PDI of diferent samples were determined by dynamic light scattering. The size of the optimized sample was confrmed by transmission electron microscopy. The result obtained from modeling showed that increasing solvent temperature and antisolvent fow rate led to a decrease in PDI and an increase in the sedimentation time. The antisolvent fow rate was determined as the most important factor that afected the sedimentation time and PDI. Increasing the solvent fow rate was identifed as an adverse factor which increased PDI or decreased formulation’s sedimentation time. Optimization using ANN showed that microfuidic preparation parameters of nanosuspension as input variables had potential impacts on output parameters.
Keywords: Nanoprecipitation, Microfuidic, Optimization, Stability, Stable-iodine
Application: Micro-fluidic Device
Product Model 1: Syringe Pump
Product Model 2:
URL: #https://link.springer.com/article/10.1007/s42452-019-1011-5#