Photonic resonator absorption microscopy for biosensing with digital resolution
Li, Nantao
Loading…
Permalink
https://hdl.handle.net/2142/105879
Description
Title
Photonic resonator absorption microscopy for biosensing with digital resolution
Author(s)
Li, Nantao
Issue Date
2019-06-28
Director of Research (if dissertation) or Advisor (if thesis)
Cunningham, Brian T
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Photonic crystal
Diagnostics
MicroRNA
Microscopy
Label-free
Abstract
Circulating exosomal miRNA represents a potentially useful class of blood-based biomarkers for cancer liquid biopsy. The detection of miRNA at a very low concentration and with single-base discrimination without the need for sophisticated equipment, large volumes, or elaborate sample processing is a challenge. To address this, we present an approach that is highly specific for a target miRNA sequence and has the ability to provide “digital” resolution of individual target molecules with high signal-to-noise ratio. Gold nanoparticle tags are prepared with thermodynamically optimized nucleic acid toehold probes that, when binding to a target miRNA sequence, displace a probe-protecting oligonucleotide and reveal a capture sequence that is used to selectively pull down the target-probe-nanoparticle complex to a photonic crystal (PC) biosensor surface. By matching the surface plasmon resonant wavelength of the nanoparticle tag to the resonant wavelength of the PC nanostructure, the reflected light intensity from the PC is dramatically and locally quenched by the presence of each individual nanoparticle, enabling a new form of biosensor microscopy that we call Photonic Resonator Absorption Microscopy (PRAM). Dynamic PRAM imaging of nanoparticle tag capture enables direct 100 aM limit of detection and single-base mismatch selectivity in a 2-hour kinetic discrimination assay. The PRAM assay demonstrates that ultrasensitivity (<1 pM) and high selectivity can be achieved on a direct read-out diagnostic.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
