Microparticle parking and isolation for highly sensitive microRNA detection
Name
nihms903531.pdf
Description
Accepted version
Size
1.49 MB
Format
Adobe PDF
Checksum (MD5)
64a835fda74b678d7a1e53dc19b92f25
Author(s)
Kim, Jae Jung
Chen, Lynna
Doyle, Patrick S
Date Issued
August 2017
Journal
Lab on a Chip
Publisher
Royal Society of Chemistry (RSC)
Citation
Kim, Jae Jung et al., "Microparticle parking and isolation for highly sensitive microRNA detection." Lab on a Chip 17, 18 (September 2017): 3120-28 doi. 10.1039/C7LC00653E ©2017 Authors
Version
Author's final manuscript
Abstract
Isolating small objects, such as particles, cells, and molecules, in individual aqueous droplets is useful for chemical and biological assays. We have developed a simple microfluidic platform to immobilize (park) microparticles at defined locations, and isolate particles in monodisperse droplets surrounded by immiscible oil. While conventional methods can only achieve stochastic encapsulation of objects within larger droplets, our in situ method ensures that a single particle is entrapped in a similar-sized droplet, with ∼95% yield for parking and isolation. This enables time-lapse studies of reactions in confined volumes and can be used to perform enzymatic amplification of a desired signal to improve the sensitivity of diagnostic assays. To demonstrate the utility of our technique, we perform highly sensitive, multiplexed microRNA detection by isolating encoded, functional hydrogel microparticles in small aqueous droplets. Non-fouling hydrogel microparticles are attractive for microRNA detection due to favorable capture kinetics. By encapsulating these particles in droplets and employing a generalizable enzyme amplification scheme, we demonstrate an order of magnitude improvement in detection sensitivity compared to a non-amplified assay. ©2017 The Royal Society of Chemistry.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Biological Engineering
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1039/C7LC00653E
