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Title: Detection of bioagents using a shear horizontal surface acoustic wave biosensor

Abstract

Viruses and other bioagents are of high medical and biodefense concern and their detection at concentrations well below the threshold necessary to cause health hazards continues to be a challenge with respect to sensitivity, specificity, and selectivity. Ideally, assays for accurate and real time detection of viral agents and other bioagents would not necessitate any pre-processing of the analyte, which would make them applicable for example to bodily fluids (blood, sputum) and man-made as well as naturally occurring bodies of water (pools, rivers). We describe herein a robust biosensor that combines the sensitivity of surface acoustic waves (SAW) generated at a frequency of 325 MHz with the specificity provided by antibodies and other ligands for the detection of viral agents. In preferred embodiments, a lithium tantalate based SAW transducer with silicon dioxide waveguide sensor platform featuring three test and one reference delay lines was used to adsorb antibodies directed against Coxsackie virus B4 or the negative-stranded category A bioagent Sin Nombre virus (SNV), a member of the genus Hantavirus, family Bunyaviridae, negative-stranded RNA viruses. Rapid detection (within seconds) of increasing concentrations of viral particles was linear over a range of order of magnitude for both viruses, although the sensor wasmore » approximately 50.times.10.sup.4-fold more sensitive for the detection of SNV. For both pathogens, the sensor's selectivity for its target was not compromised by the presence of confounding Herpes Simplex virus type 1. The biosensor was able to detect SNV at doses lower than the load of virus typically found in a human patient suffering from hantavirus cardiopulmonary syndrome (HCPS). Further, in a proof-of-principle real world application, the SAW biosensor was capable of selectively detecting SNV agents in complex solutions, such as naturally occurring bodies of water (river, sewage effluent) without analyte pre-processing.

Inventors:
; ; ; ; ; ; ; ;
Issue Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1464204
Patent Number(s):
10031135
Application Number:
14/172,429
Assignee:
STC.UNM (Albuquerque, NM); SANDIA CORPORATION (Albuquerque, NM)
Patent Classifications (CPCs):
C - CHEMISTRY C12 - BIOCHEMISTRY C12Q - MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Resource Relation:
Patent File Date: 2014 Feb 04
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 47 OTHER INSTRUMENTATION; 60 APPLIED LIFE SCIENCES

Citation Formats

Larson, Richard S., Hjelle, Brian, Hall, Pam R., Brown, David C., Bisoffi, Marco, Brozik, Susan M., Branch, Darren W., Edwards, Thayne L., and Wheeler, David. Detection of bioagents using a shear horizontal surface acoustic wave biosensor. United States: N. p., 2018. Web.
Larson, Richard S., Hjelle, Brian, Hall, Pam R., Brown, David C., Bisoffi, Marco, Brozik, Susan M., Branch, Darren W., Edwards, Thayne L., & Wheeler, David. Detection of bioagents using a shear horizontal surface acoustic wave biosensor. United States.
Larson, Richard S., Hjelle, Brian, Hall, Pam R., Brown, David C., Bisoffi, Marco, Brozik, Susan M., Branch, Darren W., Edwards, Thayne L., and Wheeler, David. Tue . "Detection of bioagents using a shear horizontal surface acoustic wave biosensor". United States. https://www.osti.gov/servlets/purl/1464204.
@article{osti_1464204,
title = {Detection of bioagents using a shear horizontal surface acoustic wave biosensor},
author = {Larson, Richard S. and Hjelle, Brian and Hall, Pam R. and Brown, David C. and Bisoffi, Marco and Brozik, Susan M. and Branch, Darren W. and Edwards, Thayne L. and Wheeler, David},
abstractNote = {Viruses and other bioagents are of high medical and biodefense concern and their detection at concentrations well below the threshold necessary to cause health hazards continues to be a challenge with respect to sensitivity, specificity, and selectivity. Ideally, assays for accurate and real time detection of viral agents and other bioagents would not necessitate any pre-processing of the analyte, which would make them applicable for example to bodily fluids (blood, sputum) and man-made as well as naturally occurring bodies of water (pools, rivers). We describe herein a robust biosensor that combines the sensitivity of surface acoustic waves (SAW) generated at a frequency of 325 MHz with the specificity provided by antibodies and other ligands for the detection of viral agents. In preferred embodiments, a lithium tantalate based SAW transducer with silicon dioxide waveguide sensor platform featuring three test and one reference delay lines was used to adsorb antibodies directed against Coxsackie virus B4 or the negative-stranded category A bioagent Sin Nombre virus (SNV), a member of the genus Hantavirus, family Bunyaviridae, negative-stranded RNA viruses. Rapid detection (within seconds) of increasing concentrations of viral particles was linear over a range of order of magnitude for both viruses, although the sensor was approximately 50.times.10.sup.4-fold more sensitive for the detection of SNV. For both pathogens, the sensor's selectivity for its target was not compromised by the presence of confounding Herpes Simplex virus type 1. The biosensor was able to detect SNV at doses lower than the load of virus typically found in a human patient suffering from hantavirus cardiopulmonary syndrome (HCPS). Further, in a proof-of-principle real world application, the SAW biosensor was capable of selectively detecting SNV agents in complex solutions, such as naturally occurring bodies of water (river, sewage effluent) without analyte pre-processing.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 24 00:00:00 EDT 2018},
month = {Tue Jul 24 00:00:00 EDT 2018}
}

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