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Title: Quantitative multiplex detection of pathogen biomarkers

Abstract

The present invention addresses the simultaneous detection and quantitative measurement of multiple biomolecules, e.g., pathogen biomarkers through either a sandwich assay approach or a lipid insertion approach. The invention can further employ a multichannel, structure with multi-sensor elements per channel.

Inventors:
; ; ; ;
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1159960
Patent Number(s):
8,859,268
Application Number:
12/924,929
Assignee:
Los Alamos National Security, LLC (Los Alamos, NM)
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Patent
Resource Relation:
Patent File Date: 2010 Oct 08
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Mukundan, Harshini, Xie, Hongzhi, Swanson, Basil I, Martinez, Jennifer, and Grace, Wynne K. Quantitative multiplex detection of pathogen biomarkers. United States: N. p., 2014. Web.
Mukundan, Harshini, Xie, Hongzhi, Swanson, Basil I, Martinez, Jennifer, & Grace, Wynne K. Quantitative multiplex detection of pathogen biomarkers. United States.
Mukundan, Harshini, Xie, Hongzhi, Swanson, Basil I, Martinez, Jennifer, and Grace, Wynne K. 2014. "Quantitative multiplex detection of pathogen biomarkers". United States. https://www.osti.gov/servlets/purl/1159960.
@article{osti_1159960,
title = {Quantitative multiplex detection of pathogen biomarkers},
author = {Mukundan, Harshini and Xie, Hongzhi and Swanson, Basil I and Martinez, Jennifer and Grace, Wynne K},
abstractNote = {The present invention addresses the simultaneous detection and quantitative measurement of multiple biomolecules, e.g., pathogen biomarkers through either a sandwich assay approach or a lipid insertion approach. The invention can further employ a multichannel, structure with multi-sensor elements per channel.},
doi = {},
url = {https://www.osti.gov/biblio/1159960}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Oct 14 00:00:00 EDT 2014},
month = {Tue Oct 14 00:00:00 EDT 2014}
}