microfluidic – Page 3 – TechConnect Briefs

Microfluidic T-Form Mixer Utilizing Pressure Disturbances

Ma Y.B., Fields M., Sun C.P., Zhang F.Y., Liao J-C, Li Y., Liao J-C, Churchill B.M., Ho C-M., University of California at Los Angeles, US

A simple solution to mixing problems in micro fluidic systems was presented in this paper. A T-form microfluidic mixer was designed and tested utilizing pressure disturbances. The performance of the mixer was studied through both [...]

Full Coupling Simulation of a Membrane Micropump

Yao Q., Xu D., Pan L.S., Melissa Teo A.L., Ho W.M., Peter Lee V.S., Shabbir M., Institute of High Performance Computing, SG

The design of PZT actuated valveless membrane micropumps is a very complex process as it involves the knowledge of electro mechanics, solid mechanics and fluid mechanics. So far, there is no accurate, flexible and broadly [...]

Simulation and Optimization of a Flow-Through Micro PCR Chip

Kang J., Chen C.C., Smolinski J., Thomas R.A., Tucker J.D., Auner G.W., Industrial Technology Research Institute, TW & Wayne State University, US

We present a microfluidic particle concentrator and separator employing a large flow unit array. Each flow unit includes a nozzle, a sharp turn, a diffuser, and a flow dividing segment. After acceleration in the nozzle, [...]

DNA repair enzyme analysis on EWOD fluidic microprocessor

Jary D., Chollat-Namy A., Fouillet Y., Boutet J., Chabrol C., Castellan G., Gasparutto D., Peponnet C., CEA, FR

DNA repair enzyme analysis on EWOD fluidic microprocessor An original analytical assay, aimed at monitoring DNA lesions repair activities has been combined to a dedicated microfluidic EWOD (electrowetting on dielectric) microprocessor.The quantification of enzymatic repair activities [...]

Mixed-Methodology-Based System-Level Simulation of Biochemical Assays in Integrated Microfluidic Systems

Wang Y., Bedekar A.S., Krishnamoorthy S., Siddhaye S.S., Sundaram S., CFD Research Corporation, US

While lab-on-a-chip (LoC) systems are increasingly used in the areas of genomics, proteomics and drug discovery, their efficient simulation and design at system-level continue to be a challenge. Experimental trial-and-error and multiphysics-based high fidelity computation [...]

Direct-Write CMOS-Based Laboratory-On-Chip

Ghafar-Zadeh E., Sawan M., Therriault D., École Polytechnique de Montréal, CA

Over the recent years, the identification of genes which influence many diseases has been highly demanded and now, molecular diagnosis is most promising technology to offer fast and early detection of diseases to a maximum [...]

Surface modification and characterization of a cyclic olefin copolymer for magnetic bead-based stop-flow microfluidic ELISA

Herrmann M., Veres T., Tabrizian M., McGill University, CA

This abstract describes a microfluidic platform for simple, highly effective and parallel Enzyme Linked Immuno-Sorbent Assay (ELISA). The method is based on the use of magnetic micro-beads in order to increase the capture rate of [...]

Fabrication of Microfluidic Cells with Liquid Core Waveguide and 1,1’-Oxalydiimidazole Chemiluminescence Detection

Lee J-H., Tartaglia A., Schlautman M.A., Carraway E.R., Clemson University, US

We have developed simple and inexpensive microfluidic cells (inner diameter: 100 _m) based on the principles of liquid core waveguide (LCW) and rapid 1, 1’-oxalyldiimidazole derivative chemiluminescence (ODI-CL) reactions. The microfluidic cells devised in this [...]

A Computational Model for the Design of ElectroWetting On Dielectric (EWOD) Systems

Bedekar A.S., Jenkins J.W., Sundaram S., CFD Research Corporation, US

Microfluidics has enabled the development of integrated lab-on-a-chip (LoC) devices for use in a clinical diagnostics, high throughput screening, drug discovery, biodefense and environmental monitoring. Although most microfluidic devices are based on continuous flow of [...]

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 [...]