高梯度磁色谱的模拟研究

IF 2.1 3区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Magnetics Pub Date : 2025-01-08 DOI:10.1109/TMAG.2025.3526872

Petru Andrei;Nicholas Carlstedt

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引用次数: 0

摘要

高梯度磁层析是一种根据磁性颗粒的磁化率选择性分离磁性颗粒的技术。我们建立了一个包括磁力、布朗运动、重力和粘性阻力影响的HGMC数学模型。然后，我们使用该模型来解释最近报道的实验结果，并将这些努力与文献中其他关于高梯度磁分离（HGMS）的工作区分开来。特别着重分析了HGMC在粒度和磁化率方面的主要局限性。我们的模拟表明，HGMC可以分离出磁化率低至$10^{-4}$至$10^{-3}$，直径小至几十纳米的顺磁颗粒。最后，我们提出并讨论了各种不同的HGMC设计方案。

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Simulation Study of High-Gradient Magnetic Chromatography

High-gradient magnetic chromatography (HGMC) is a technique for selectively separating magnetic particles (MPs) according to their magnetic susceptibilities. We develop a mathematical model for HGMC that includes the effects of magnetic force, Brownian motion, gravity, and viscous drag. We then use this model to interpret recently reported experimental results and to distinguish these efforts from other work on high-gradient magnetic separation (HGMS) in the literature. Special emphasis is given to analyzing the main limitations of HGMC with regards to particle size and magnetic susceptibility. Our simulations show that HGMC can separate paramagnetic particles with magnetic susceptibilities as low as

$10^{-4}$

$10^{-3}$

and diameters down to a few tens of nanometers. Finally, we propose and discuss various alternative HGMC designs.

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来源期刊

IEEE Transactions on Magnetics 工程技术-工程：电子与电气

CiteScore

4.00

自引率

14.30%

发文量

565

审稿时长

4.1 months

期刊介绍： Science and technology related to the basic physics and engineering of magnetism, magnetic materials, applied magnetics, magnetic devices, and magnetic data storage. The IEEE Transactions on Magnetics publishes scholarly articles of archival value as well as tutorial expositions and critical reviews of classical subjects and topics of current interest.