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Keiki-Pua S. Dancil

Researcher at University of California, San Diego

Publications -  7
Citations -  2519

Keiki-Pua S. Dancil is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Porous silicon & Silicon. The author has an hindex of 7, co-authored 7 publications receiving 2466 citations. Previous affiliations of Keiki-Pua S. Dancil include Scripps Research Institute.

Papers
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Journal ArticleDOI

A Porous Silicon-Based Optical Interferometric Biosensor

TL;DR: A biosensor has been developed based on induced wavelength shifts in the Fabry-Perot fringes in the visible-light reflection spectrum of appropriately derivatized thin films of porous silicon semiconductors based on Binding of molecules induced changes in the refractive index of the porous silicon.
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A Porous Silicon Optical Biosensor: Detection of Reversible Binding of IgG to a Protein A-Modified Surface

TL;DR: In this article, the reversibility, specificity, stability, and scaling of signal response to analyte mass were quantified for a porous silicon-based optical interferometric biosensor.
Journal ArticleDOI

Macroporous p-Type Silicon Fabry−Perot Layers. Fabrication, Characterization, and Applications in Biosensing

TL;DR: In this paper, the structure and porosity of porous silicon matrixes were characterized by scanning force microscopy and scanning electron microscopy (SEM), Brunnauer−Emmett−Teller nitrogen adsorption isotherms, and reflectance interference spectroscopy.
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Determining Protein Size Using an Electrochemically Machined Pore Gradient in Silicon

TL;DR: In this paper, the median pore size and breadth of the size distribution in the film can be set by adjusting the HF concentration, current density, and position of the counter electrode relative to the silicon electrode.
Patent

Porous semiconductor-based optical interferometric sensor

TL;DR: In this paper, the wavelength shifts in the reflectometric interference spectra of a porous semiconductor substrate such as silicon, make possible the highly sensitive detection, identification and quantification of small analyte molecules.