Evidence map›Paper›PMID 23631439›Full record

ArticleAnalytical chemistry2013

Catch and release: integrated system for multiplexed detection of bacteria.

Jasenka Verbarg, William D Plath, Lisa C Shriver-Lake, Peter B Howell, Jeffrey S Erickson, Joel P Golden, Frances S Ligler

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 37 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Jasenka VerbargCenter for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC 20375, United States.
William D Plath
Lisa C Shriver-Lake
Peter B Howell
Jeffrey S Erickson
Joel P Golden
Frances S Ligler
United States Naval Research Laboratory · USNaval Research Laboratory Center for Bio/Molecular Science and Engineering

Funding

Partnership for Detection of Infection by Category B PathogensU01AI075489 · NIAID · U.S. NAVAL RESEARCH LABORATORY · PI LIGLER, FRANCES S. · 2007 to 2011
$4.0M
NIAID NIH HHS U01 AI075489PHS HHS U01 A1075489
6 · The paper itself

Abstract

An integrated system with automated immunomagnetic separation and processing of fluidic samples was demonstrated for multiplexed optical detection of bacterial targets. Mixtures of target-specific magnetic bead sets were processed in the NRL MagTrap with the aid of rotating magnet arrays that entrapped and moved the beads within the channel during reagent processing. Processing was performed in buffer and human serum matrixes with 10-fold dilutions in the range of 10(2)-10(6) cells/mL of target bacteria. Reversal of magnets' rotation post-processing released the beads back into the flow and moved them into the microflow cytometer for optical interrogation. Identification of the beads and the detection of PE fluorescence were performed simultaneously for multiplexed detection. Multiplexing was performed with specifically targeted bead sets to detect E. coli 0157.H7, Salmonella Common Structural Antigen, Listeria sp., and Shigella sp., dose-response curves were obtained, and limits of detection were calculated for each target in the buffer and clinical matrix. Additional tests demonstrated the potential for using the MagTrap to concentrate target from larger volumes of sample prior to the addition of assay reagents.

Indexed as

Systems IntegrationBacteriaFlow CytometryHumansImmunomagnetic SeparationMicroarray Analysis

Identifiers

PMID23631439
PMCPMC5012220
OpenAlexW2072549356

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.