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Jiashu Sun

Researcher at Center for Excellence in Education

Publications -  126
Citations -  7255

Jiashu Sun is an academic researcher from Center for Excellence in Education. The author has contributed to research in topics: Microfluidics & Chemistry. The author has an hindex of 45, co-authored 116 publications receiving 5183 citations. Previous affiliations of Jiashu Sun include Vanderbilt University & East China Normal University.

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Tunable Rigidity of (Polymeric Core)–(Lipid Shell) Nanoparticles for Regulated Cellular Uptake

TL;DR: Core-shell nanoparticles with lipid shells and varying water content and rigidity but with the same chemical composition, size, and surface properties are assembled using a microfluidic platform to alter the cellular uptake efficiency.
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Field-Free Isolation of Exosomes from Extracellular Vesicles by Microfluidic Viscoelastic Flows.

TL;DR: A viscoelasticity-based microfluidic system to directly separate exosomes from cell culture media or serum in a continuous, size-dependent, and label-free manner is presented and may serve as a versatile platform to facilitate exosome analyses in diverse biochemical applications.
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Point-of-care biochemical assays using gold nanoparticle-implemented microfluidics

TL;DR: This tutorial review outlines the mechanism of assaying biomarkers by gold nanoparticles (AuNPs), and the implementation of AuNPs for microfluidic POC devices, and discusses some recent advances in AuNP-coupled micro fluidic sensors with enhanced performance.
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Double spiral microchannel for label-free tumor cell separation and enrichment

TL;DR: This work reports on a passive double spiral microfluidic device allowing rapid and label-free tumor cell separation and enrichment from diluted peripheral whole blood, by exploiting the size-dependent hydrodynamic forces.
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Low-cost thermophoretic profiling of extracellular-vesicle surface proteins for the early detection and classification of cancers.

TL;DR: An assay that thermophoretically profiles surface proteins from serum extracellular vesicles labelled with a panel of fluorescent aptamers detects and classifies patients according to cancer type and cancer stage, and if validated in larger cohorts may facilitate cancer screening, classification and monitoring.