TY - GEN
T1 - Development of a paper-based diagnostic for influenza detection
AU - Holstein, Carly A.
AU - Bennett, Steven
AU - Strauch, Eva Maria
AU - Chevalier, Aaron
AU - Fu, Elain
AU - Baker, David
AU - Yager, Paul
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/2/10
Y1 - 2014/2/10
N2 - The development of novel paper-based diagnostic tests has surged in recent years, due to the suitability of these tests for use at the point of care. These emerging paper-based tests retain the low cost and ease of use of traditional lateral flow tests, while offering increased sophistication and capabilities that approach those of traditional microfluidic devices. Here, we report on the development of a novel paper-based test for the diagnosis of influenza, commonly known as the flu. Influenza is a ubiquitously occurring infection, affecting 5-20% of Americans and resulting in an average of 23,000 deaths in the U.S., and up to 500,000 deaths globally, each year. Despite its prevalence, the diagnosis of influenza remains unsatisfactory, especially at the point of care. In particular, lateral flow tests for influenza suffer from poor sensitivity and provide only limited information about the infecting flu virus. Point-of-care testing of influenza therefore stands to benefit substantially from improved technology. To this end, we have developed two different versions of a paper-based flu assay, both using computationally designed affinity proteins, or 'binders,' that bind to the influenza hemagglutinin (HA) protein. One version of the assay utilizes an HA stem-region binder and the other an HA head-region binder. With these assays, we demonstrate the detection of clinically relevant concentrations of recombinant HA and intact influenza virus, as well as the translation of this paper-based system to a two-dimensional paper network (2DPN) folding card device.
AB - The development of novel paper-based diagnostic tests has surged in recent years, due to the suitability of these tests for use at the point of care. These emerging paper-based tests retain the low cost and ease of use of traditional lateral flow tests, while offering increased sophistication and capabilities that approach those of traditional microfluidic devices. Here, we report on the development of a novel paper-based test for the diagnosis of influenza, commonly known as the flu. Influenza is a ubiquitously occurring infection, affecting 5-20% of Americans and resulting in an average of 23,000 deaths in the U.S., and up to 500,000 deaths globally, each year. Despite its prevalence, the diagnosis of influenza remains unsatisfactory, especially at the point of care. In particular, lateral flow tests for influenza suffer from poor sensitivity and provide only limited information about the infecting flu virus. Point-of-care testing of influenza therefore stands to benefit substantially from improved technology. To this end, we have developed two different versions of a paper-based flu assay, both using computationally designed affinity proteins, or 'binders,' that bind to the influenza hemagglutinin (HA) protein. One version of the assay utilizes an HA stem-region binder and the other an HA head-region binder. With these assays, we demonstrate the detection of clinically relevant concentrations of recombinant HA and intact influenza virus, as well as the translation of this paper-based system to a two-dimensional paper network (2DPN) folding card device.
UR - http://www.scopus.com/inward/record.url?scp=84949923032&partnerID=8YFLogxK
U2 - 10.1109/HIC.2014.7038933
DO - 10.1109/HIC.2014.7038933
M3 - Conference contribution
AN - SCOPUS:84949923032
T3 - 2014 IEEE Healthcare Innovation Conference, HIC 2014
SP - 296
EP - 299
BT - 2014 IEEE Healthcare Innovation Conference, HIC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Healthcare Innovation Conference, HIC 2014
Y2 - 8 October 2014 through 10 October 2014
ER -