Dextran coated superparamagnetic iron oxide nanoparticles produced by microfluidic process

Ohannesian, Nareg; Leo, Carlos Trevino De; Martirosyan, Karen S.

doi:10.1016/j.matpr.2019.03.172

Cited by 17 publications

(22 citation statements)

References 15 publications

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“…In another study with a continuous-flow reactor, IONPs were synthesized with core sizes ranging from 8 to 56 nm [ 39 ]. In this study, a base-polymer solution and an iron solution were used, and it was found that increasing the flow rate of both solutions increased the core sizes of the IONPs [ 39 ]. The synthesized IONPs were evaluated for their magnetic properties for applications in magnetic hyperthermia.…”

Section: Microfluidic Architectures For Coprecipitation Of Ionpsmentioning

confidence: 99%

“…It was determined that IONPs synthesized at a flow rate of 0.04 mL/s and coated with 6% Dextran from Leuconostoc were more stable and able to reach higher temperatures when compared to IONPs that were uncoated or coated with negatively charged Dextran with sodium salt [ 39 ]. It is interesting to note that in this study [ 39 ], the IONPs were not exposed to any external heat post synthesis, meaning the flow rate trend we see is a characteristic of the flow rate and not an influence of heating. Additionally, the importance of polymer type is made apparent here by the difference in effectiveness of heating.…”

Section: Microfluidic Architectures For Coprecipitation Of Ionpsmentioning

confidence: 99%

“…Furthermore, polymer composition influences hydrodynamic size, which is a measure of the IONPs’ core, polymer coating, and the solvent layer that forms in aqueous solution, because different polymers will interact uniquely in solution based on their level of hydrophilicity. Studies have also shown that polymer composition can drastically alter the observed hydrodynamic size and magnetic properties of IONPs [ 39 , 42 ].…”

Section: Experimental Design Parameters and Their Control Over Ionmentioning

confidence: 99%

“…The polymer concentration can be altered during coprecipitation synthesis with microfluidics by changing the flow rate of the channel carrying the polymer solution. One study used a coprecipitation process to synthesize IONPs and found that increasing the concentration of polymer greatly decreased particle core size and increased the yield [ 39 ].…”

Section: Experimental Design Parameters and Their Control Over Ionmentioning

confidence: 99%

“…Residence time is strongly correlated to the flow rate, and as such the IONP core size can be controlled by adjusting flow rates [ 70 ]. Interestingly, when heat is removed from a continuous-flow system, there is an ideal flow rate that produces the smallest IONPs [ 39 ]. This aspect is seen because there exists an ideal flow rate that maximizes the laminar flow condition of the device.…”

Section: Experimental Design Parameters and Their Control Over Ionmentioning

confidence: 99%

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Microfluidic Synthesis of Iron Oxide Nanoparticles

et al. 2020

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Research efforts into the production and application of iron oxide nanoparticles (IONPs) in recent decades have shown IONPs to be promising for a range of biomedical applications. Many synthesis techniques have been developed to produce high-quality IONPs that are safe for in vivo environments while also being able to perform useful biological functions. Among them, coprecipitation is the most commonly used method but has several limitations such as polydisperse IONPs, long synthesis times, and batch-to-batch variations. Recent efforts at addressing these limitations have led to the development of microfluidic devices that can make IONPs of much-improved quality. Here, we review recent advances in the development of microfluidic devices for the synthesis of IONPs by coprecipitation. We discuss the main architectures used in microfluidic device design and highlight the most prominent manufacturing methods and materials used to construct these microfluidic devices. Finally, we discuss the benefits that microfluidics can offer to the coprecipitation synthesis process including the ability to better control various synthesis parameters and produce IONPs with high production rates.

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Section: Microfluidic Architectures For Coprecipitation Of Ionpsmentioning

confidence: 99%

Section: Microfluidic Architectures For Coprecipitation Of Ionpsmentioning

confidence: 99%

Section: Experimental Design Parameters and Their Control Over Ionmentioning

confidence: 99%

Section: Experimental Design Parameters and Their Control Over Ionmentioning

confidence: 99%

Section: Experimental Design Parameters and Their Control Over Ionmentioning

confidence: 99%

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Microfluidic Synthesis of Iron Oxide Nanoparticles

et al. 2020

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One Step Superparamagnetic Iron Oxide Nanoparticles by a Microwave Process: Optimization of Microwave Parameters with an Experimental Design

Girardet,

Kessler,

Migot

et al. 2024

Part & Part Syst Charact

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Superparamagnetic iron oxide nanoparticles (SPIONs) are nanoparticles used in a lot of applications such as batteries, and biomedical, … To obtain these nanoparticles, several techniques exist such as coprecipitation, thermal decomposition, sol–gel process but they have some advantages (synthesis in a water media, high crystallinity, high monodispersity) and disadvantages (using an organic solvent, large distribution of size, poor crystallinity). The goal of this work is to synthesize SPIONs for biomedical applications (for example as a contrast agent for the MRI): SPIONs should be stable in an aqueous media, monodisperse, and have good crystallinity and magnetic properties. To achieve this result, a microwave process is carried out. However, any study describes the microwave parameter on the synthesis of the nanoparticles. This work offers to determine the best conditions of the microwave to obtain ideal SPIONs for MRI. For this, an experimental design is carried out to determine these parameters thanks to different techniques of characterization (Transmission Electronic Microscopy, Dynamic Light Scattering, X‐ray diffraction, Thermogravimetric Analysis, magnetic characterizations). With the different results of these characterizations, the best conditions of the microwave are determined, and a simulation of all experiments is realized with a surface response.

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