Evidence map›Paper›PMID 29881332›Full record

ArticleIEEE sensors journal2018

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 and 3 more

Open access · greenAbstract read
In one paragraph

Article in IEEE sensors journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Caitlin M RaceDepartment of Electrical and Computer Engineering.
Lydia E KwonDepartment of Bioengineering.
Myles T ForemanDepartment of Electrical and Computer Engineering.
Qinglan HuangDepartment of Electrical and Computer Engineering.
Hakan InanCanary Center for Cancer Early Detection, Stanford University.
Sailaja KesirajuBiodesign Institute, Arizona State University.
Phuong LeDepartment of Bioengineering.
Sung Jun LimDepartment of Bioengineering.
Andrew M SmithDepartment of Bioengineering.
Richard C ZangarPacific Northwest National Laboratory.
Utkan DemirciCanary Center for Cancer Early Detection, Stanford University.
Karen S AndersonBiodesign Institute, Arizona State University.
Brian T CunninghamDepartment of Electrical and Computer Engineering.
University of Illinois Urbana-Champaign · USArizona State University · USStanford University · USPacific Northwest National Laboratory · US

Funding

Photonic Crystal Surfaces for Label-Free Detection and Fluorescence AmplificationR01GM086382 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOLLERO, GERMAN A, CUNNINGHAM, BRIAN T. · 2009 to 2012
$1.7M
Rapid Disease Diagnostics using Photonic Crystal Enhanced Antigen BiomarkerR01GM108584 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ANDERSON, KAREN SUE, CUNNINGHAM, BRIAN T. · 2014 to 2017
$1.6M
Portable Nanostructured Photonic Crystal Device for HIV-1 Viral LoadR01AI120683 · NIAID · STANFORD UNIVERSITY · PI CUNNINGHAM, BRIAN T., DEMIRCI, UTKAN · 2016 to 2019
$1.5M
Photonic Crystal Enhanced Fluorescence: Development of Sensors Structures and DetR33CA177446 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CUNNINGHAM, BRIAN T., ZANGAR, RICHARD C · 2013 to 2015
$712k
NCI NIH HHS R33 CA177446NIAID NIH HHS R01 AI120683NIGMS NIH HHS R01 GM086382NIGMS NIH HHS R01 GM108584
6 · The paper itself

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.

Indexed as

assayautomatedbiomarkercancerE7fluorescencehuman papillomavirusimmunoassaymicrofluidicoropharyngeal cancerphotonic crystalpoint-of-careserum

Identifiers

PMID29881332
PMCPMC5986186
OpenAlexW2768663541

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.