Magnetization Response Spectroscopy of Superparamagnetic Nanoparticles under Mixing Frequency Fields

Kai Wu; Akash Batra; Shray Jain; Jian Ping Wang

doi:10.1109/TMAG.2015.2513746

Magnetization Response Spectroscopy of Superparamagnetic Nanoparticles under Mixing Frequency Fields

Kai Wu
, Akash Batra
, Shray Jain
, Jian Ping Wang

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

In this paper, we report a mixing frequency method (MFM) that has two driving fields, in which one is a high frequency of f_H=300 kHz and the other is a low frequency field with f_L=500 Hz. Two traditional magnetic particle imaging technologies are compared with an MFM, one with driving field frequency of f_M=25 kHz and the other at 10 kHz. An assumed iron-cobalt magnetic nanoparticle (MNP) suspension of which the sizes follow normal distribution is modeled and their magnetic response is modeled by Langevin function. Odd harmonics induced from the nonlinear magnetic response of MNPs under driving fields are extracted from the magnetization response spectroscopy. The signal-to-noise ratio, harmonic strengths at field-free points (FFPs) over strengths at non-FFPs, is defined as an evaluation standard to assess which technology is better for imaging spatial distribution of MNPs.

Original language	English (US)
Article number	7369960
Journal	IEEE Transactions on Magnetics
Volume	52
Issue number	7
DOIs	https://doi.org/10.1109/TMAG.2015.2513746
State	Published - Jul 2016

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© 2016 IEEE.

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abstract = "In this paper, we report a mixing frequency method (MFM) that has two driving fields, in which one is a high frequency of fH=300 kHz and the other is a low frequency field with fL=500 Hz. Two traditional magnetic particle imaging technologies are compared with an MFM, one with driving field frequency of fM=25 kHz and the other at 10 kHz. An assumed iron-cobalt magnetic nanoparticle (MNP) suspension of which the sizes follow normal distribution is modeled and their magnetic response is modeled by Langevin function. Odd harmonics induced from the nonlinear magnetic response of MNPs under driving fields are extracted from the magnetization response spectroscopy. The signal-to-noise ratio, harmonic strengths at field-free points (FFPs) over strengths at non-FFPs, is defined as an evaluation standard to assess which technology is better for imaging spatial distribution of MNPs.",

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AU - Batra, Akash

AU - Jain, Shray

AU - Wang, Jian Ping

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AB - In this paper, we report a mixing frequency method (MFM) that has two driving fields, in which one is a high frequency of fH=300 kHz and the other is a low frequency field with fL=500 Hz. Two traditional magnetic particle imaging technologies are compared with an MFM, one with driving field frequency of fM=25 kHz and the other at 10 kHz. An assumed iron-cobalt magnetic nanoparticle (MNP) suspension of which the sizes follow normal distribution is modeled and their magnetic response is modeled by Langevin function. Odd harmonics induced from the nonlinear magnetic response of MNPs under driving fields are extracted from the magnetization response spectroscopy. The signal-to-noise ratio, harmonic strengths at field-free points (FFPs) over strengths at non-FFPs, is defined as an evaluation standard to assess which technology is better for imaging spatial distribution of MNPs.

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ER -

Magnetization Response Spectroscopy of Superparamagnetic Nanoparticles under Mixing Frequency Fields

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