Evidence map›Paper›PMID 22163718›Full record

ArticleSensors (Basel, Switzerland)2011

Numerical optimization of a microfluidic assisted microarray for the detection of biochemical interactions.

Emanuele Orabona, Ilaria Rea, Ivo Rendina, Luca De Stefano

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Emanuele OrabonaInstitute for Microelectronics and Microsystems, Naples Unit, National Research Council, Via P. Castellino 111, 80131 Napoli, Italy. emanuele.orabona@na.imm.cnr.it
Ilaria Rea
Ivo Rendina
Luca De Stefano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finite element method analysis was applied to the characterization of the biomolecular interactions taking place in a microfluidic assisted microarray. Numerical simulations have been used for the optimization of geometrical and physical parameters of the sensing device. Different configurations have been analyzed and general considerations have been derived. We have shown that a parallel disposition of the sensing area allows the homogeneous formation of the target molecular complex in all the active zones of the microarray. Stationary and time dependent results have also been obtained.

Indexed as

Numerical Analysis, Computer-AssistedComputer SimulationFinite Element AnalysisKineticsMicroarray AnalysisMicrofluidic Analytical TechniquesProtein Bindingbiosensingmicrofluidicsreaction kinetics

Identifiers

PMID22163718
PMCPMC3231296

What OpenQuestion holds

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LicenceCC BY
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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.