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

Journal Article · · IEEE Sensors Journal
 [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

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.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE; National Institutes of Health (NIH)
Grant/Contract Number:
AC05-76RL01830; 5R33CA177446-02; 5R01GM086382-03
OSTI ID:
1413458
Journal Information:
IEEE Sensors Journal, Vol. 18, Issue 4; ISSN 1530-437X
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 4 works
Citation information provided by
Web of Science

Cited By (2)