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Phil Paik

Researcher at Duke University

Publications -  7
Citations -  1323

Phil Paik is an academic researcher from Duke University. The author has contributed to research in topics: Microfluidics & Electrowetting. The author has an hindex of 7, co-authored 7 publications receiving 1296 citations.

Papers
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Journal ArticleDOI

Rapid droplet mixers for digital microfluidic systems.

TL;DR: This paper studies the effects of varying droplet aspect ratios on linear-array droplet mixers, and proposes mixing strategies applicable for both high and low aspect ratio systems, and presents a split-and-merge mixer that takes advantage of the ability to perform droplet splitting at these ratios.
Journal ArticleDOI

Electrowetting-based droplet mixers for microfluidic systems

TL;DR: In this paper, an alternative mixing strategy is presented based on the discretization of liquids into droplets and further manipulation of those droplets by electrowetting, where interfacial tensions of the droplets are controlled with the application of voltage.
Proceedings ArticleDOI

Protein stamping for maldi mass spectrometry using an electrowetting-based microfluidic platform

TL;DR: In this paper, a droplet-based microfluidic interface is proposed to transfer protein samples from a well-plate format onto a MALDI target for MS analysis, where the droplets are actuated using the electrowetting phenomenon, and are immersed in silicone oil which prevents non-specific adsorption and enables the manipulation of high concentrations of proteins.
Journal ArticleDOI

Matrix protein gene expression in intervertebral disc cells subjected to altered osmolarity.

TL;DR: Differences in the response to altered osmolarity between cells of the intervertebral disc may relate to their different cytoskeletal structures or embryological origins.
Proceedings ArticleDOI

Thermal effects on droplet transport in digital microfluidics with applications to chip cooling

TL;DR: In this paper, the effects of temperature-dependent system parameters on droplet transport in a digital microfluidics platform are investigated. But the authors do not address the problem of real-time active and smart cooling where hotter thermal regions (i.e., hot areas) are detected and subsequently cooled at an increased rate.