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HomeAuthorsWu J.

Authors: Wu J.

Optical Fiber-Top Microcavity Sensor for CO2 Detection

Wu J., Yin M-J, Taeuber K., Dani A., Guterman R., Yuan J., Zhang A.P., Tam H-Y, The Hong Kong Polytechnic University, HK
In the paper, we present a miniature fiber-optic CO2 sensor by in-situ printing of a special polymer Fabry-Pérot (FP) microcavity on the end facet of standard single-mode optical fiber. A photo-crosslinkable poly(ionic liquid)s (PILs) with [...]

Zinc Oxide optical and chemical sensors fabricated by Ink Jet printing and drop casting

Ewing D.J., Casper M., Stramel A., Morick B., Cook B., Wu J., The Department of Energy's Kansas City National Security Campus, US
Zinc oxide (ZnO) nanostructures show great promise for a variety of applications, such as UV detectors, chemical, and gas sensors. Zinc oxide has a direct bandgap (3.4 eV), a high electron mobility, and environmental stability. [...]

Analysis of Stem Cell Culture Performance in a Microcarrier Bioreactor System

Ponnuru K., Wu J., Ashok P., Tzanakakis E.S., Furlani E.P., SUNY-Buffalo, US
Human pluripotent stem cells (hPSCs) are capable of differentiating into all somatic cell types and hold great potential for future clinical applications. Recent studies on cell culture in stirred tank bioreactors indicate that mechanical forces [...]

Uncoil long DNA molecules in nanoposts array

Wu J., Shao G., Choi J., Uba F.I., Soper S.A., Park S., Louisiana State Univ., US
A nanoposts array was fabricated on a PMMA based nanofluidic chip by nanoimprinting lithography. The electrophoresis of Lambda and T4 DNA in the nanoposts was studied. A periodical stretching and recoiling motion was observed. Each [...]

Nanofluidic Channel Based Single Molecular Sensors in Polymer Substrate Fabricated by Novel Nanoimprinting Processes

Wu J., Chantiwas R., Soper S.C., Park S., Louisiana State University, US
One critical challenge in developing innovative nanochannel-based sensors for bio/chemical analyses is to build multiscale structures composed of narrow, long and continuous fluidic nanochannels and microfluidic networks at low cost. We presents a novel process [...]

Table-Based Numerical Macromodeling for MEMS Devices

Wu J., Carley L.R., Carnegie Mellon University, US
In this paper, we present a table-based numerical macromodeling method in which a MEMS device is modeled by a set of numerical ordinary differential equations and model functions are represented by look-up tables of numerical [...]

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