Spectroscopic AC susceptibility imaging (sASI) of magnetic nanoparticles

Ficko, Bradley W.; Nadar, Priyanka; Diamond, Solomon

doi:10.1016/j.jmmm.2014.10.011

Cited by 10 publications

(7 citation statements)

References 54 publications

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“…In a previous study we confirmed that our experimental apparatus is able to distinguish between different sized MNPs through spectroscopic measurement [43]. Spectroscopic measurement was accomplished by placing each sample in the test holder (Fig 1) and multiplexing through each frequency for 5 s. Prior to the measurement of a sample, a background measurement was also taken.…”

Section: Methodssupporting

confidence: 62%

A Feasibility Study of Nonlinear Spectroscopic Measurement of Magnetic Nanoparticles Targeted to Cancer Cells

Ficko

Ndong²,

Giacometti³

et al. 2017

IEEE Trans. Biomed. Eng.

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Objective Magnetic nanoparticles (MNPs) are an emerging platform for targeted diagnostics in cancer. An important component needed for translation of MNPs is the detection and quantification of targeted MNPs bound to tumor cells. Method This study explores the feasibility of a multi-frequency nonlinear magnetic spectroscopic method that uses excitation and pick-up coils and is capable of discriminating between quantities of bound and unbound MNPs in 0.5 ml samples of KB and Igrov human cancer cell lines. The method is tested over a range of five concentrations of MNPs from 0 to 80 μg /ml and five concentrations of cells from 50 to 400 thousand count per ml. Results A linear model applied to the magnetic spectroscopy data was able to simultaneously measure bound and unbound MNPs with agreement between the model-fit and lab assay measurements (p<0.001). The detectable iron of the presented method to bound and unbound MNPs was < 2 μg in a 0.5 ml sample. The linear model parameters used to determine the quantities of bound and unbound nanoparticles in KB cells were also used to measure the bound and unbound MNP in the Igrov cell line and vice versa. Conclusion Nonlinear spectroscopic measurement of magnetic nanoparticles may be a useful method for studying targeted MNPs in oncology. Significance Determining the quantity of bound and unbound MNP in an unknown sample using a linear model represents an exciting opportunity to translate multi-frequency nonlinear spectroscopy methods to in vivo applications where MNPs could be targeted to cancer cells.

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Section: Methodssupporting

confidence: 62%

A Feasibility Study of Nonlinear Spectroscopic Measurement of Magnetic Nanoparticles Targeted to Cancer Cells

Ficko

Ndong²,

Giacometti³

et al. 2017

IEEE Trans. Biomed. Eng.

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“…Another type of MNP imaging technique can be categorized into Magnetic Susceptibility Imaging (MSI) [ 22 ], one of which is called Susceptibility Magnitude Imaging (SMI) [ 23 ]. This technique was further developed using nonlinear MNP responses by spectroscopy AC susceptibility Imaging (sASI) [ 24 ] and nonlinear Susceptibility Magnitude Imaging (nSMI) [ 25 ].…”

Section: Methodsmentioning

confidence: 99%

Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric Sensors

Friedrich

Faupel

2022

Sensors

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Imaging of magnetic nanoparticles (MNPs) is of great interest in the medical sciences. By using resonant magnetoelectric sensors, higher harmonic excitations of MNPs can be measured and mapped in space. The proper reconstruction of particle distribution via solving the inverse problem is paramount for any imaging technique. For this, the forward model needs to be modeled accurately. However, depending on the state of the magnetoelectric sensors, the projection axis for the magnetic field may vary and may not be known accurately beforehand. As a result, the projection axis used in the model may be inaccurate, which can result in inaccurate reconstructions and artifact formation. Here, we show an approach for mapping MNPs that includes sources of uncertainty to both select the correct particle distribution and the correct model simultaneously.

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“…Note that the effective relaxation time τ eff is determined as the maximum in the imaginary part ωτ eff = 1. Similar to MRXI, additional spatial encoding in ACS by multiple sensors or excitation coils allows for the development of MNP imaging approaches [33][34][35][36].…”

Section: Mnp Response To Alternating Magnetic Fieldsmentioning

confidence: 99%

Magnetic measurement methods to probe nanoparticle–matrix interactions

Liebl

Eberbeck

Coene

et al. 2021

Physical Sciences Reviews

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Magnetic nanoparticles (MNPs) are key elements in several biomedical applications, e.g., in cancer therapy. Here, the MNPs are remotely manipulated by magnetic fields from outside the body to deliver drugs or generate heat in tumor tissue. The efficiency and success of these approaches strongly depend on the spatial distribution and quantity of MNPs inside a body and interactions of the particles with the biological matrix. These include dynamic processes of the MNPs in the organism such as binding kinetics, cellular uptake, passage through cell barriers, heat induction and flow. While magnetic measurement methods have been applied so far to resolve the location and quantity of MNPs for therapy monitoring, these methods can be advanced to additionally access these particle–matrix interactions. By this, the MNPs can further be utilized as probes for the physical properties of their molecular environment. In this review, we first investigate the impact of nanoparticle–matrix interactions on magnetic measurements in selected experiments. With these results, we then advanced the imaging modalities magnetorelaxometry imaging and magnetic microsphere tracking to spatially resolve particle–matrix interactions.

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Spectroscopic AC susceptibility imaging (sASI) of magnetic nanoparticles

Cited by 10 publications

References 54 publications

A Feasibility Study of Nonlinear Spectroscopic Measurement of Magnetic Nanoparticles Targeted to Cancer Cells

A Feasibility Study of Nonlinear Spectroscopic Measurement of Magnetic Nanoparticles Targeted to Cancer Cells

Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric Sensors

Magnetic measurement methods to probe nanoparticle–matrix interactions

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