Evidence map›Paper›PMID 22960010›Full record

ArticleBiosensors & bioelectronics2013

Automated processing integrated with a microflow cytometer for pathogen detection in clinical matrices.

J P Golden, J Verbarg, P B Howell, L C Shriver-Lake, F S Ligler

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 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
2.9field-weighted citation impact, top 10% 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, 24 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

5 authors at 2 institutions in 1 country.

J P GoldenCenter for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC 20375, USA.
J Verbarg
P B Howell
L C Shriver-Lake
F S Ligler
Naval Research Laboratory Center for Bio/Molecular Science and EngineeringUnited States Naval Research Laboratory · US

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

A spinning magnetic trap (MagTrap) for automated sample processing was integrated with a microflow cytometer capable of simultaneously detecting multiple targets to provide an automated sample-to-answer diagnosis in 40 min. After target capture on fluorescently coded magnetic microspheres, the magnetic trap automatically concentrated the fluorescently coded microspheres, separated the captured target from the sample matrix, and exposed the bound target sequentially to biotinylated tracer molecules and streptavidin-labeled phycoerythrin. The concentrated microspheres were then hydrodynamically focused in a microflow cytometer capable of 4-color analysis (two wavelengths for microsphere identification, one for light scatter to discriminate single microspheres and one for phycoerythrin bound to the target). A three-fold decrease in sample preparation time and an improved detection limit, independent of target preconcentration, was demonstrated for detection of Escherichia coli 0157:H7 using the MagTrap as compared to manual processing. Simultaneous analysis of positive and negative controls, along with the assay reagents specific for the target, was used to obtain dose-response curves, demonstrating the potential for quantification of pathogen load in buffer and serum.

Indexed as

Biosensing TechniquesEquipment DesignEquipment Failure AnalysisEscherichia coli O157Flow CytometryImmunomagnetic SeparationReproducibility of ResultsRoboticsSensitivity and SpecificitySystems Integration

Identifiers

PMID22960010
PMCPMC5012219
OpenAlexW1971326390

What OpenQuestion holds

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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.