journal article·2014-11

Investigations on the magnetization behavior of magnetic composite particles

Christian Eichholz, Johannes Knoll, Dietmar Lerche, Hermann Nirschl

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Abstract

Abstract In life sciences the application of surface functionalized magnetic composite particles is establishing in diagnostics and in downstream processing of modern biotechnology. These magnetic composite particles consist of non-magnetic material, e.g. polystyrene, which serves as a matrix for the second magnetic component, usually colloidal magnetite. Because of the multitude of magnetic cores these magnetic beads show a complex magnetization behavior which cannot be described with the available approaches for homogeneous magnetic material. Therefore, in this work a new model for the magnetization behavior of magnetic composite particles is developed. By introducing an effective magnetization and considering an overall demagnetization factor the deviation of the demagnetization of homogeneously magnetized particles is taken into account. Calculated and experimental results show a good agreement which allows for the verification of the adapted model of particle magnetization. Besides, a newly developed magnetic analyzing centrifuge is used for the characterization of magnetic composite particle systems. The experimental results, also used for the model verification, give both, information about the magnetic properties and the interaction behavior of particle systems. By adding further components to the particle solution, such as salts or proteins, industrial relevant systems can be reconstructed. The analyzing tool can be used to adapt industrial processes without time-consuming preliminary tests with large samples in the process equipments.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Characterization and Applications of Magnetic Nanoparticles · Magnetic and Electromagnetic Effects · Geomagnetism and Paleomagnetism Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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