Literature DB >> 19381395

Renewable surface fluorescence sandwich immunoassay biosensor for rapid sensitive botulinum toxin detection in an automated fluidic format.

Jay W Grate1, Marvin G Warner, Richard M Ozanich, Keith D Miller, Heather A Colburn, Brian Dockendorff, Kathryn C Antolick, Norman C Anheier, Michael A Lind, Jianlong Lou, James D Marks, Cynthia J Bruckner-Lea.   

Abstract

A renewable surface biosensor for rapid detection of botulinum neurotoxin serotype A is described based on fluidic automation of a fluorescence sandwich immunoassay, using a recombinant protein fragment of the toxin heavy chain ( approximately 50 kDa) as a structurally valid simulant. Monoclonal antibodies AR4 and RAZ1 bind to separate non-overlapping epitopes of the full botulinum holotoxin ( approximately 150 kDa). Both of the targeted epitopes are located on the recombinant fragment. The AR4 antibody was covalently bound to Sepharose beads and used as the capture antibody. A rotating rod flow cell was used to capture these beads delivered as a suspension by a sequential injection flow system, creating a 3.6 microL column. After perfusing the bead column with sample and washing away the matrix, the column was perfused with Alexa 647 dye-labeled RAZ1 antibody as the reporter. Optical fibers coupled to the rotating rod flow cell at a 90 degrees angle to one another delivered excitation light from a HeNe laser (633 nm) using one fiber and collected fluorescent emission light for detection with the other. After each measurement, the used Sepharose beads are released and replaced with fresh beads. In a rapid screening approach to sample analysis, the toxin simulant was detected to concentrations of 10 pM in less than 20 minutes using this system.

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Year:  2009        PMID: 19381395     DOI: 10.1039/b900794f

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  7 in total

1.  Simultaneous and sensitive detection of six serotypes of botulinum neurotoxin using enzyme-linked immunosorbent assay-based protein antibody microarrays.

Authors:  Yanfeng Zhang; Jianlong Lou; Kathy L Jenko; James D Marks; Susan M Varnum
Journal:  Anal Biochem       Date:  2012-08-27       Impact factor: 3.365

2.  Location of biomarkers and reagents within agarose beads of a programmable bio-nano-chip.

Authors:  Jesse V Jokerst; Jie Chou; James P Camp; Jorge Wong; Alexis Lennart; Amanda A Pollard; Pierre N Floriano; Nicolaos Christodoulides; Glennon W Simmons; Yanjie Zhou; Mehnaaz F Ali; John T McDevitt
Journal:  Small       Date:  2011-02-02       Impact factor: 13.281

3.  Neutralizing human monoclonal antibodies binding multiple serotypes of botulinum neurotoxin.

Authors:  C Garcia-Rodriguez; I N Geren; J Lou; F Conrad; C Forsyth; W Wen; S Chakraborti; H Zao; G Manzanarez; T J Smith; J Brown; W H Tepp; N Liu; S Wijesuriya; M T Tomic; E A Johnson; L A Smith; J D Marks
Journal:  Protein Eng Des Sel       Date:  2010-12-13       Impact factor: 1.650

4.  Quantum dot immunoassays in renewable surface column and 96-well plate formats for the fluorescence detection of botulinum neurotoxin using high-affinity antibodies.

Authors:  Marvin G Warner; Jay W Grate; Abby Tyler; Richard M Ozanich; Keith D Miller; Jianlong Lou; James D Marks; Cynthia J Bruckner-Lea
Journal:  Biosens Bioelectron       Date:  2009-06-26       Impact factor: 10.618

5.  Sensing the deadliest toxin: technologies for botulinum neurotoxin detection.

Authors:  Petr Capek; Tobin J Dickerson
Journal:  Toxins (Basel)       Date:  2010-01-07       Impact factor: 4.546

6.  A bioanalytical platform for simultaneous detection and quantification of biological toxins.

Authors:  Oliver G Weingart; Hui Gao; François Crevoisier; Friedrich Heitger; Marc-André Avondet; Hans Sigrist
Journal:  Sensors (Basel)       Date:  2012-02-21       Impact factor: 3.576

Review 7.  Fluorescence based fiber optic and planar waveguide biosensors. A review.

Authors:  Elena Benito-Peña; Mayra Granda Valdés; Bettina Glahn-Martínez; Maria C Moreno-Bondi
Journal:  Anal Chim Acta       Date:  2016-09-13       Impact factor: 6.558

  7 in total

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