Giant magnetoresistance-based biosensor for detection of influenza A virus

Venkatramana D. Krishna; Kai Wu; Andres M. Perez; Jian Ping Wang

doi:10.3389/fmicb.2016.00400

Giant magnetoresistance-based biosensor for detection of influenza A virus

Venkatramana D. Krishna, Kai Wu, Andres M. Perez, Jian Ping Wang

Research output: Contribution to journal › Article › peer-review

142 Scopus citations

Abstract

We have developed a simple and sensitive method for the detection of influenza A virus based on giant magnetoresistance (GMR) biosensor. This assay employs monoclonal antibodies to viral nucleoprotein (NP) in combination with magnetic nanoparticles (MNPs). Presence of influenza virus allows the binding of MNPs to the GMR sensor and the binding is proportional to the concentration of virus. Binding of MNPs onto the GMR sensor causes change in the resistance of sensor, which is measured in a real time electrical readout. GMR biosensor detected as low as 1.5 × 10² TCID₅₀/mL virus and the signal intensity increased with increasing concentration of virus up to 1.0 × 10⁵ TCID₅₀/mL. This study showed that the GMR biosensor assay is relevant for diagnostic application since the virus concentration in nasal samples of influenza virus infected swine was reported to be in the range of 10³ to 10⁵ TCID₅₀/mL.

Original language	English (US)
Article number	400
Journal	Frontiers in Microbiology
Volume	7
Issue number	MAR
DOIs	https://doi.org/10.3389/fmicb.2016.00400
State	Published - Mar 29 2016

Bibliographical note

Publisher Copyright:
© 2016 Krishna, Wu, Perez and Wang.

Keywords

Biosensor
GMR chip
Giant magnetoresistance
Influenza A virus
Magnetic nanoparticle

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.3389/fmicb.2016.00400

Find It

Find It at U of M Libraries

Cite this

@article{9d7d27eac12c4758b4930ad7d9a2c90a,

title = "Giant magnetoresistance-based biosensor for detection of influenza A virus",

abstract = "We have developed a simple and sensitive method for the detection of influenza A virus based on giant magnetoresistance (GMR) biosensor. This assay employs monoclonal antibodies to viral nucleoprotein (NP) in combination with magnetic nanoparticles (MNPs). Presence of influenza virus allows the binding of MNPs to the GMR sensor and the binding is proportional to the concentration of virus. Binding of MNPs onto the GMR sensor causes change in the resistance of sensor, which is measured in a real time electrical readout. GMR biosensor detected as low as 1.5 × 102 TCID50/mL virus and the signal intensity increased with increasing concentration of virus up to 1.0 × 105 TCID50/mL. This study showed that the GMR biosensor assay is relevant for diagnostic application since the virus concentration in nasal samples of influenza virus infected swine was reported to be in the range of 103 to 105 TCID50/mL.",

keywords = "Biosensor, GMR chip, Giant magnetoresistance, Influenza A virus, Magnetic nanoparticle",

author = "Krishna, {Venkatramana D.} and Kai Wu and Perez, {Andres M.} and Wang, {Jian Ping}",

note = "Publisher Copyright: {\textcopyright} 2016 Krishna, Wu, Perez and Wang.",

year = "2016",

month = mar,

day = "29",

doi = "10.3389/fmicb.2016.00400",

language = "English (US)",

volume = "7",

journal = "Frontiers in Microbiology",

issn = "1664-302X",

publisher = "Frontiers Media SA",

number = "MAR",

}

TY - JOUR

T1 - Giant magnetoresistance-based biosensor for detection of influenza A virus

AU - Krishna, Venkatramana D.

AU - Wu, Kai

AU - Perez, Andres M.

AU - Wang, Jian Ping

PY - 2016/3/29

Y1 - 2016/3/29

N2 - We have developed a simple and sensitive method for the detection of influenza A virus based on giant magnetoresistance (GMR) biosensor. This assay employs monoclonal antibodies to viral nucleoprotein (NP) in combination with magnetic nanoparticles (MNPs). Presence of influenza virus allows the binding of MNPs to the GMR sensor and the binding is proportional to the concentration of virus. Binding of MNPs onto the GMR sensor causes change in the resistance of sensor, which is measured in a real time electrical readout. GMR biosensor detected as low as 1.5 × 102 TCID50/mL virus and the signal intensity increased with increasing concentration of virus up to 1.0 × 105 TCID50/mL. This study showed that the GMR biosensor assay is relevant for diagnostic application since the virus concentration in nasal samples of influenza virus infected swine was reported to be in the range of 103 to 105 TCID50/mL.

AB - We have developed a simple and sensitive method for the detection of influenza A virus based on giant magnetoresistance (GMR) biosensor. This assay employs monoclonal antibodies to viral nucleoprotein (NP) in combination with magnetic nanoparticles (MNPs). Presence of influenza virus allows the binding of MNPs to the GMR sensor and the binding is proportional to the concentration of virus. Binding of MNPs onto the GMR sensor causes change in the resistance of sensor, which is measured in a real time electrical readout. GMR biosensor detected as low as 1.5 × 102 TCID50/mL virus and the signal intensity increased with increasing concentration of virus up to 1.0 × 105 TCID50/mL. This study showed that the GMR biosensor assay is relevant for diagnostic application since the virus concentration in nasal samples of influenza virus infected swine was reported to be in the range of 103 to 105 TCID50/mL.

KW - Biosensor

KW - GMR chip

KW - Giant magnetoresistance

KW - Influenza A virus

KW - Magnetic nanoparticle

UR - http://www.scopus.com/inward/record.url?scp=84964334136&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964334136&partnerID=8YFLogxK

U2 - 10.3389/fmicb.2016.00400

DO - 10.3389/fmicb.2016.00400

M3 - Article

C2 - 27065967

AN - SCOPUS:84964334136

SN - 1664-302X

VL - 7

JO - Frontiers in Microbiology

JF - Frontiers in Microbiology

IS - MAR

M1 - 400

ER -

Giant magnetoresistance-based biosensor for detection of influenza A virus

Abstract

Bibliographical note

Keywords

UN SDGs

Publisher link

Find It

Other files and links

Fingerprint

Cite this