Optimization of Pathogen Capture in Flowing Fluids with Magnetic Nanoparticles. Author Joo Kang, Eujin Um, Alexander Diaz, Harry Driscoll, Melissa Rodas, Karel Domansky, Alexander Watters, Michael Super, Howard Stone, Donald Ingber Publication Year 2015 Type Journal Article Abstract Magnetic nanoparticles have been employed to capture pathogens for many biological applications; however, optimal particle sizes have been determined empirically in specific capturing protocols. Here, a theoretical model that simulates capture of bacteria is described and used to calculate bacterial collision frequencies and magnetophoretic properties for a range of particle sizes. The model predicts that particles with a diameter of 460 nm should produce optimal separation of bacteria in buffer flowing at 1 L h(-1) . Validating the predictive power of the model, Staphylococcus aureus is separated from buffer and blood flowing through magnetic capture devices using six different sizes of magnetic particles. Experimental magnetic separation in buffer conditions confirms that particles with a diameter closest to the predicted optimal particle size provide the most effective capture. Modeling the capturing process in plasma and blood by introducing empirical constants (ce ), which integrate the interfering effects of biological components on the binding kinetics of magnetic beads to bacteria, smaller beads with 50 nm diameters are predicted that exhibit maximum magnetic separation of bacteria from blood and experimentally validated this trend. The predictive power of the model suggests its utility for the future design of magnetic separation for diagnostic and therapeutic applications. Keywords Humans, Staphylococcus aureus, Calibration, Flow Cytometry, Models, Theoretical, Cell Separation, Lab-On-A-Chip Devices, Blood-Borne Pathogens, Magnetite Nanoparticles, Microbiological Techniques, Sterilization Journal Small Volume 11 Issue 42 Pages 5657-66 Date Published 2015 Nov 11 ISSN Number 1613-6829 DOI 10.1002/smll.201501820 Alternate Journal Small PMID 26389806 PubMedGoogle ScholarBibTeXEndNote X3 XML