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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    AU - Lim, Sung Jun

    AU - Smith, Andrew M.

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