Literature DB >> 28445636

Disposable Autonomous Device for Swab-to-Result Diagnosis of Influenza.

Shichu Huang1, Koji Abe1, Steven Bennett1, Tinny Liang1, Paula D Ladd1, Lindsay Yokobe2, Caitlin E Anderson1, Kamal Shah1, Josh Bishop1, Mike Purfield1, Peter C Kauffman1, Sai Paul1, AnneMarie E Welch1, Bonnie Strelitz3, Kristin Follmer3, Kelsey Pullar3, Luis Sanchez-Erebia3, Emily Gerth-Guyette2, Gonzalo Domingo2, Eileen Klein3, Janet A Englund3, Elain Fu4, Paul Yager1.   

Abstract

A prototype of a self-contained, automated, disposable device for chemically amplified protein-based detection of influenza virus from nasal swab specimens was developed and evaluated in a clinical setting. The device required only simple specimen manipulation without any dedicated instrumentation or specialized training by the operator for interpretation. The device was based on a sandwich immunoassay for influenza virus nucleoprotein; it used an enzyme-labeled antibody and a chromogenic substrate to provide an amplified visible signal, in a two-dimensional paper network format. All reagents were stored within the device. Device performance was assessed at Seattle Children's Hospital; clinical staff collected nasal swab samples from 25 patients and then operated test devices on site to detect influenza A and B in those specimens. The total test time from device initiation to result was approximately 35 min. Device performance for influenza A detection was ∼70% accurate using in-house qRT-PCR influenza A as a gold-standard comparison. The ratio of valid to total completed device runs yielded a success rate of 92%, and the negative predictive value for both the influenza A and B assay was 81%. The ability to diagnose respiratory infections rapidly and close to the patient was well received by hospital staff, inspiring further optimization of device function.

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Year:  2017        PMID: 28445636      PMCID: PMC8812334          DOI: 10.1021/acs.analchem.6b04801

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


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