Evidence map›Paper›PMID 24514882›Full record

ArticleSensors (Basel, Switzerland)2014

Computational modeling of mediator oxidation by oxygen in an amperometric glucose biosensor.

Dainius Simelevičius, Karolis Petrauskas, Romas Baronas, Julija Razumienė

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Dainius SimelevičiusFaculty of Mathematics and Informatics, Vilnius University, Didlaukio 47, LT-08303 Vilnius, Lithuania. dainius.simelevicius@mif.vu.lt.
Karolis PetrauskasFaculty of Mathematics and Informatics, Vilnius University, Didlaukio 47, LT-08303 Vilnius, Lithuania. karolis.petrauskas@mif.vu.lt.
Romas BaronasFaculty of Mathematics and Informatics, Vilnius University, Didlaukio 47, LT-08303 Vilnius, Lithuania. romas.baronas@mif.vu.lt.
Julija RazumienėInstitute of Biochemistry, Vilnius University, Mokslininku 12, LT-08662 Vilnius, Lithuania. julija.razumiene@bchi.vu.lt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, an amperometric glucose biosensor is modeled numerically. The model is based on non-stationary reaction-diffusion type equations. The model consists of four layers. An enzyme layer lies directly on a working electrode surface. The enzyme layer is attached to an electrode by a polyvinyl alcohol (PVA) coated terylene membrane. This membrane is modeled as a PVA layer and a terylene layer, which have different diffusivities. The fourth layer of the model is the diffusion layer, which is modeled using the Nernst approach. The system of partial differential equations is solved numerically using the finite difference technique. The operation of the biosensor was analyzed computationally with special emphasis on the biosensor response sensitivity to oxygen when the experiment was carried out in aerobic conditions. Particularly, numerical experiments show that the overall biosensor response sensitivity to oxygen is insignificant. The simulation results qualitatively explain and confirm the experimentally observed biosensor behavior.

Indexed as

Biosensing TechniquesElectrochemical TechniquesDiffusionElectrodesEnzymes, ImmobilizedGlucoseGlucose OxidaseOxidation-ReductionOxygenPolyethylene TerephthalatesPolyvinyl AlcoholEnzymes, ImmobilizedGlucoseGlucose OxidaseOxygenPolyethylene TerephthalatesPolyvinyl Alcoholterylene

Identifiers

PMID24514882
PMCPMC3958286

What OpenQuestion holds

Textmetadata
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.