Researchers describe fundamental processes behind movement of magnetic particles

Their findings are reported in the journal Proceedings of the National Academy of Sciences.

Understanding more about the motion of magnetic particles as they pass through a magnetic field has numerous applications, including drug delivery, biosensors, molecular imaging, and catalysis. For example, magnetic nanoparticles loaded with drugs can be delivered to discrete spots in the body after they are injected into the bloodstream or cerebrospinal fluid using magnets. This process currently is used in some forms of chemotherapy for the treatment of cancer.

"We need to know more about how magnetic particles move so we can better predict how fast they move, how many will reach their targets and when and what factors influence their behaviors as they move through various fluids," said Meenesh Singh, UIC assistant professor of chemical engineering at the College of Engineering and corresponding author on the paper.

Meenesh and colleagues found that four major factors influence the motion of magnetic particles: the difference between the magnetic properties of the particles and the solution they are moving through, the gradient of the magnetic field, the magnetic interactions between particles or how much they stick together, and the interaction of electrical charges on particles with the magnetic field.

"We can build on this new knowledge to increase the specificity by which magnetic nanoparticles reach desired target tissues in the central nervous system," said Andreas Linninger, UIC professor of bioengineering at the College of Engineering and first author on the paper.

Based on these findings, the researchers created a mathematical formula with all these factors included. Using real-world data, they populated their model and were able to accurately predict the speed and location of particles in real systems.

"By using our model, physicians and researchers will be better able to design magnetic nanoparticles to deliver drugs or other molecules and do so much more accurately," Meenesh said. "This model can also predict the motion of charged magnetic particles in various applications, including the deflection of charged particles in earth's magnetosphere."

The research described in this paper, which was co-authored by UIC's Ayankola Ayansiji and Anish Dighe, was funded by the National Science Foundation (CBET-1706921).