Microwave-Assisted Synthesis and Characterization of Iron Oxide Nanoparticles for Advanced Biomedical Sensing Applications

This study focuses on the synthesis and characterization of Superparamagnetic Iron Oxide Nanoparticles (IONPs) with potential biomedical and sensing applications. These nanoparticles are in high demand for their biocompatibility, biodegradability, and superparamagnetic properties. In contrast to traditional high-temperature synthesis methods, microwave-assisted co-precipitation provides notable benefits, such as improved superparamagnetic characteristics, a high surface-to-volume ratio, large surface area, and simplified separation processes. The synthesis process utilized microwave-assisted co-precipitation, and a range of characterization techniques, including XRD, FESEM, VSM, FTIR, and UV-spectroscopy, were employed to assess the properties of the iron oxide nanoparticles. Analysis of the XRD, FTIR, and UV-spectroscopy results confirmed the formation of IONPs, predominantly comprising magnetite (Fe3O4). The microwave-synthesized IONPs exhibited superparamagnetic behavior, featuring an average crystallite size of 9 nm and robust saturation magnetization values (up to 68 emu/g). These attributes render them highly suitable for applications such as MRI contrast agents, thermal mediators in hyperthermia, drug delivery systems, and advanced sensor technologies, including magnetic sensing and biosensing applications, where their high magnetic responsiveness and surface functionalization capabilities can be effectively leveraged.

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Publication Details

Journal
IEEE Open Journal of Nanotechnology
Published
2025-01-01
DOI
https://doi.org/10.1109/ojnano.2024.3514866
Citations
2
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
1.35

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article

Microwave-Assisted Synthesis and Characterization of Iron Oxide Nanoparticles for Advanced Biomedical Sensing Applications

Santosh Kumar, Saurabh Kumar Pandey, Chandra Prakash Singh, Deepak Punetha et al.
2 citations
IEEE Open Journal of Nanotechnology
Biosensors and Analytical Detection
1.35
article

Microwave-Assisted Synthesis and Characterization of Iron Oxide Nanoparticles for Advanced Biomedical Sensing Applications

Santosh Kumar, Saurabh Kumar Pandey, Chandra Prakash Singh, Deepak Punetha, Vivek Pratap Singh
article en
2 citations

Abstract

This study focuses on the synthesis and characterization of Superparamagnetic Iron Oxide Nanoparticles (IONPs) with potential biomedical and sensing applications. These nanoparticles are in high demand for their biocompatibility, biodegradability, and superparamagnetic properties. In contrast to traditional high-temperature synthesis methods, microwave-assisted co-precipitation provides notable benefits, such as improved superparamagnetic characteristics, a high surface-to-volume ratio, large surface area, and simplified separation processes. The synthesis process utilized microwave-assisted co-precipitation, and a range of characterization techniques, including XRD, FESEM, VSM, FTIR, and UV-spectroscopy, were employed to assess the properties of the iron oxide nanoparticles. Analysis of the XRD, FTIR, and UV-spectroscopy results confirmed the formation of IONPs, predominantly comprising magnetite (Fe3O4). The microwave-synthesized IONPs exhibited superparamagnetic behavior, featuring an average crystallite size of 9 nm and robust saturation magnetization values (up to 68 emu/g). These attributes render them highly suitable for applications such as MRI contrast agents, thermal mediators in hyperthermia, drug delivery systems, and advanced sensor technologies, including magnetic sensing and biosensing applications, where their high magnetic responsiveness and surface functionalization capabilities can be effectively leveraged.

IEEE Open Journal of NanotechnologyVol. 6
Indian Institute of Technology Patna (IN), Motilal Nehru National Institute of Technology (IN), Koneru Lakshmaiah Education Foundation (IN)
U.S. Department of Commerce
Openalex Percentile: Top 23%
Biosensors and Analytical Detection
1.35
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