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Microfluidic-Assisted Synthesis and Modelling of Monodispersed Magnetic Nanocomposites for Biomedical Applications Publisher



Sartipzadeh O1 ; Naghib SM1 ; Shokati F2 ; Rahmanian M2 ; Majidzadeha K2 ; Zare Y2 ; Rhee KY3
Authors
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Authors Affiliations
  1. 1. Nanotechnology Department, School of Advanced Technologies, Iran University of Science and Technology, Tehran, Iran
  2. 2. Biomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
  3. 3. Department of Mechanical Engineering, College of Engineering, Kyung Hee University, Yongin, 446-701, South Korea

Source: Nanotechnology Reviews Published:2020


Abstract

Droplet microfluidic was devoted to design and fabricate robust devices in the field of biosensing, tissue engineering, drug delivery, cell encapsulation, cell isolation, and lab-on-a-chip. Chitosan was widely used for different biomedical applications because of its unique characteristics such as antibacterial bioactivities, immune-enhancing influences, and anticancer bioactivities. In this research, a model is used for investigating the formation and size of composite droplets in a microfluidic device. The role of the velocity flow ratio in the composite droplet characteristics such as the generation rate and composite droplet size is described. According to the results, a desirable protocol is developed to control the properties of the composite droplets and to compare the size and rate of the composite droplets in a micro device. Furthermore, the level set laminar two-phase flow approach is exploited for studying the composite droplet-breaking procedure. An experimental procedure is used for validation of the simulation process. Various sizes and geometries of the composite droplets are fabricated to depict a potential in biomedical applications such as bioimaging, biosensing, tissue engineering, drug delivery, cell encapsulation, cancer cell isolation, and lab-on-a-chip. © 2020 Omid Sartipzadeh et al., published by De Gruyter 2020.
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