title: Enhanced size-dependent trapping of particles using microvortices.
abstract: Inertial microfluidics has been attracting considerable interest for size-based separation of particles and cells. The inertial forces can be manipulated by expanding the microchannel geometry, leading to formation of microvortices which selectively isolate and trap particles or cells from a mixture. In this work, we aim to enhance our understanding of particle trapping in such microvortices by developing a model of selective particle trapping. Design and operational parameters including flow conditions, size of the trapping region, and target particle concentration are explored to elucidate their influence on trapping behavior. Our results show that the size dependence of trapping is characterized by a threshold Reynolds number, which governs the selective entry of particles into microvortices from the main flow. We show that concentration enhancement on the order of 100,000× and isolation of targets at concentrations in the 1/mL is possible. Ultimately, the insights gained from our systematic investigation suggest optimization solutions that enhance device performance (efficiency, size selectivity, and yield) and are applicable to selective isolation and trapping of large rare cells as well as other applications.
authors.affiliation: BioMicroSystems Lab, School of Electronic and Computing Systems, University of Cincinnati.
authors.forename: Jian
authors.initials: J
authors.lastname: Zhou
authors.forename: Susan
authors.initials: S
authors.lastname: Kasper
authors.forename: Ian
authors.initials: I
authors.lastname: Papautsky