Evidence map›Paper›PMID 34038080›Full record

ArticleACS applied materials & interfaces2021

Self-Powered Detection of Glucose by Enzymatic Glucose/Oxygen Fuel Cells on Printed Circuit Boards.

Carla Gonzalez-Solino, Elena Bernalte, Clara Bayona Royo, Richard Bennett, Dónal Leech, Mirella Di Lorenzo

Open access · hybridAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 47 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

6 authors at 2 institutions in 3 countries.

Carla Gonzalez-SolinoDepartment of Chemical Engineering, University of Bath, Bath BA2 7AY, U.K.
Elena BernalteDepartment of Chemical Engineering, University of Bath, Bath BA2 7AY, U.K.
Clara Bayona RoyoDepartment of Chemical Engineering, University of Bath, Bath BA2 7AY, U.K.
Richard BennettSchool of Chemistry & Ryan Institute, National University of Ireland Galway, University Road, Galway H91 TK33, Ireland.ORCID https://orcid.org/0000-0002-3777-3467
Dónal LeechSchool of Chemistry & Ryan Institute, National University of Ireland Galway, University Road, Galway H91 TK33, Ireland.ORCID https://orcid.org/0000-0001-7844-1306
Mirella Di LorenzoDepartment of Chemical Engineering, University of Bath, Bath BA2 7AY, U.K.ORCID https://orcid.org/0000-0002-1332-6347
BioElectronics (United States) · USOllscoil na Gaillimhe – University of Galway · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring glucose levels in physiological fluids can help prevent severe complications associated with hypo- and hyper-glycemic events. Current glucose-monitoring systems require a three-electrode setup and a power source to function, which can hamper the system miniaturization to the patient discomfort. Enzymatic fuel cells (EFCs) offer the opportunity to develop self-powered and minimally invasive glucose sensors by eliminating the need for an external power source. Nevertheless, practical applications demand for cost-effective and mass-manufacturable EFCs compatible with integration strategies. In this study, we explore for the first time the use of gold electrodes on a printed circuit board (PCB) for the development of an EFC and demonstrate its application in saliva. To increase the specific surface area, the PCB gold-plated electrodes were modified with porous gold films. At the anode, glucose oxidase is immobilized with an osmium redox polymer that serves as an electron-transfer mediator. At the cathode, bilirubin oxidase is adsorbed onto the porous gold surface with a blocking agent that prevents parasitic reactions while maintaining the enzyme catalytic activity. The resulting EFC showed a linear response to glucose in phosphate buffer within the range 50 μM to 1 mM, with a sensitivity of 14.13 μA cm

Indexed as

ElectrodesBioelectric Energy SourcesBiosensing TechniquesCatalysisEnzymes, ImmobilizedGlucoseGlucose OxidaseHumansOxygenSalivaEnzymes, ImmobilizedGlucoseGlucose OxidaseOxygenenzymatic fuel cellglucose monitoringhighly porous goldprinted circuit boardself-powered detection

Identifiers

PMID34038080
PMCPMC8735749
OpenAlexW3164717688

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.