Hoburg J.F. – TechConnect Briefs

Microfluidic Injector Models Based on Neural Networks

Magargle R., Hoburg J.F., Mukherjee T., Carnegie Mellon University, US

An injector modeling methodology based on neural networks is presented. The new aspects of this approach are (1) the full description of the dynamic injector behavior and (2) the applicability of the approach to a [...]

An Injector Component Model for Complete Microfluidic Electrokinetic Separation Systems

Magargle R., Hoburg J.F., Mukherjee T., Carnegie Mellon University, US

This work presents a closed-form, numerically derived model of a key microfluidic electrokinetic separation system component, the cross injector. The model fits into a framework such that it can be combined with a network of [...]

A Simple Description of Turn-induced Transverse Field Dispersion in Micrlfluidic Channels for System-Level Design

Magargle R.M., Hoburg J.F., Mukherjee T., Carnegie Mellon University, US

This abstract shows a simple analytical model for turn-induced dispersion that captures an essential aspect of the transition field from uniform to circumferential that has been ignored in prior simple descriptions. The model applies directly [...]

Dispersion Modeling in Microfluidic Channels for System-level Optimization

Baidya B., Mukherjee T., Hoburg J.F., Carnegie Mellon University, US

Chip-based microfluidic separation systems often use serpentine channels to achieve long separation lengths in minimal area. Such designs suffer from the ‘racetrack’ effect due to the bends in the microchannel. In addition, the skew produced [...]

Modeling of Joule Heating in Electrophoretic Separation Microchips

Wang Y., Lin Q., Hoburg J.F., Mukherjee T., Carnegie Mellon University, US

This paper presents a model for Joule heating induced analyte dispersion in electrophoretic separation channels with a rectangular cross section. The model is in closed form and captures the effect of cross-sectional geometry. Three-dimensional numerical [...]