An Automated Microfluidic Assay for Photonic Crystal Enhanced Detection and Analysis of an Antiviral Antibody Cancer Biomarker in Serum

Caitlin M. Race, Lydia E. Kwon, Myles T. Foreman, Qinglan Huang, Hakan Inan, Sailaja Kesiraju, Phuong Le, Sung Jun Lim, Andrew M. Smith, Richard C. Zangar, Utkan Demirci, Karen Anderson, Brian T. Cunningham

Research output: Contribution to journalArticle

Abstract

We report on the implementation of an automated platform for detecting the presence of an antibody biomarker for human papillomavirus-associated oropharyngeal cancer from a single droplet of serum, in which a nanostructured photonic crystal surface is used to amplify the output of a fluorescence-linked immunosorbent assay. The platform is comprised of a microfluidic cartridge with integrated photonic crystal chips that interfaces with an assay instrument that automates the introduction of reagents, wash steps, and surface drying. Upon assay completion, the cartridge interfaces with a custom laser-scanning instrument that couples light into the photonic crystal at the optimal resonance condition for fluorescence enhancement. The instrument is used to measure the fluorescence intensity values of microarray spots corresponding to the biomarkers of interest, in addition to several experimental controls that verify correct functioning of the assay protocol. In this work, we report both dose-response characterization of the system using anti-E7 antibody introduced at known concentrations into serum and characterization of a set of clinical samples from which results were compared with a conventional enzyme-linked immunosorbent assay (ELISA) performed in microplate format. The demonstrated capability represents a simple, rapid, automated, and high-sensitivity method for multiplexed detection of protein biomarkers from a low-volume test sample.

Original languageEnglish (US)
JournalIEEE Sensors Journal
DOIs
StateAccepted/In press - Nov 23 2017

Fingerprint

biomarkers
Photonic crystals
antibodies
Microfluidics
Antibodies
serums
cartridges
Assays
cancer
photonics
Biomarkers
fluorescence
platforms
Fluorescence
crystals
crystal surfaces
drying
format
reagents
enzymes

Keywords

  • assay
  • automated
  • biomarker
  • Cancer
  • cancer
  • E7
  • Fluorescence
  • fluorescence
  • human papillomavirus
  • Immune system
  • immunoassay
  • Instruments
  • microfluidic
  • Microfluidics
  • oropharyngeal cancer
  • photonic crystal
  • Photonic crystals
  • point-of-care
  • Proteins
  • serum

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

An Automated Microfluidic Assay for Photonic Crystal Enhanced Detection and Analysis of an Antiviral Antibody Cancer Biomarker in Serum. / Race, Caitlin M.; Kwon, Lydia E.; Foreman, Myles T.; Huang, Qinglan; Inan, Hakan; Kesiraju, Sailaja; Le, Phuong; Lim, Sung Jun; Smith, Andrew M.; Zangar, Richard C.; Demirci, Utkan; Anderson, Karen; Cunningham, Brian T.

In: IEEE Sensors Journal, 23.11.2017.

Research output: Contribution to journalArticle

Race, CM, Kwon, LE, Foreman, MT, Huang, Q, Inan, H, Kesiraju, S, Le, P, Lim, SJ, Smith, AM, Zangar, RC, Demirci, U, Anderson, K & Cunningham, BT 2017, 'An Automated Microfluidic Assay for Photonic Crystal Enhanced Detection and Analysis of an Antiviral Antibody Cancer Biomarker in Serum', IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2017.2777529
Race, Caitlin M. ; Kwon, Lydia E. ; Foreman, Myles T. ; Huang, Qinglan ; Inan, Hakan ; Kesiraju, Sailaja ; Le, Phuong ; Lim, Sung Jun ; Smith, Andrew M. ; Zangar, Richard C. ; Demirci, Utkan ; Anderson, Karen ; Cunningham, Brian T. / An Automated Microfluidic Assay for Photonic Crystal Enhanced Detection and Analysis of an Antiviral Antibody Cancer Biomarker in Serum. In: IEEE Sensors Journal. 2017.
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