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

Abstract

Here, 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. Finally, the demonstrated capability represents a simple, rapid, automated, and high-sensitivity method for multiplexed detection of protein biomarkers from amore » low-volume test sample.« less

Authors:
 [1];  [2];  [1];  [1];  [3];  [4];  [5];  [5];  [5];  [6];  [3];  [4];  [7]
  1. Univ. of Illinois, Urbana-Champaign, IL (United States). Dept. of Electrical and Computer Engineering
  2. Univ. of Illinois, Urbana-Champaign, IL (United States). Dept. of Bioengineering; Univ. of Illinois, Urbana-Champaign, IL (United States). College of Medicine
  3. Stanford Univ., CA (United States). Canary Center for Cancer Early Detection
  4. Arizona State Univ., Tempe, AZ (United States). Biodesign Inst.
  5. Univ. of Illinois, Urbana-Champaign, IL (United States). Dept. of Bioengineering
  6. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  7. Univ. of Illinois, Urbana-Champaign, IL (United States). Dept. of Electrical and Computer Engineering; Univ. of Illinois, Urbana-Champaign, IL (United States). Dept. of Bioengineering
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE; National Institutes of Health (NIH)
OSTI Identifier:
1413458
Grant/Contract Number:
AC05-76RL01830; 5R33CA177446-02; 5R01GM086382-03
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IEEE Sensors Journal
Additional Journal Information:
Journal Volume: 18; Journal Issue: 4; Journal ID: ISSN 1530-437X
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 60 APPLIED LIFE SCIENCES; Proteins; Cancer; Fluorescence; Microfluidics; Photonic crystals; Immune system; Instruments; automated; assay; biomarker; cancer; E7; fluorescence; human papillomavirus; immunoassay; microfluidic; oropharyngeal cancer; photonic crystal; point-of-care; serum

Citation Formats

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 S., and Cunningham, Brian T. An Automated Microfluidic Assay for Photonic Crystal Enhanced Detection and Analysis of an Antiviral Antibody Cancer Biomarker in Serum. United States: N. p., 2017. Web. doi: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 S., & Cunningham, Brian T. An Automated Microfluidic Assay for Photonic Crystal Enhanced Detection and Analysis of an Antiviral Antibody Cancer Biomarker in Serum. United States. doi: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 S., and Cunningham, Brian T. Fri . "An Automated Microfluidic Assay for Photonic Crystal Enhanced Detection and Analysis of an Antiviral Antibody Cancer Biomarker in Serum". United States. doi:10.1109/JSEN.2017.2777529.
@article{osti_1413458,
title = {An Automated Microfluidic Assay for Photonic Crystal Enhanced Detection and Analysis of an Antiviral Antibody Cancer Biomarker in Serum},
author = {Race, Caitlin M. and Kwon, Lydia E. and Foreman, Myles T. and Huang, Qinglan and Inan, Hakan and Kesiraju, Sailaja and Le, Phuong and Lim, Sung Jun and Smith, Andrew M. and Zangar, Richard C. and Demirci, Utkan and Anderson, Karen S. and Cunningham, Brian T.},
abstractNote = {Here, 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. Finally, the demonstrated capability represents a simple, rapid, automated, and high-sensitivity method for multiplexed detection of protein biomarkers from a low-volume test sample.},
doi = {10.1109/JSEN.2017.2777529},
journal = {IEEE Sensors Journal},
number = 4,
volume = 18,
place = {United States},
year = {Fri Nov 24 00:00:00 EST 2017},
month = {Fri Nov 24 00:00:00 EST 2017}
}

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