Evidence map›Paper›PMID 35466718›Full record

ArticleJournal of diabetes science and technology2022

In Vitro Continuous 3 Months Operation of Direct Electron Transfer Type Open Circuit Potential Based Glucose Sensor: Heralding the Next CGM Sensor.

Inyoung Lee, Tsugawa Wakako, Kazunori Ikebukuro, Koji Sode

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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.

Inyoung LeeJoint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, USA.
Tsugawa WakakoDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Kazunori IkebukuroDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Koji SodeJoint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, USA.ORCID 0000-0002-9833-2091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile continuous glucose monitoring (CGM) systems allow precise and real-time blood glucose control, current electrochemicalbased CGM technologies inherently harbor enzyme instability issues. The direct electron transfer (DET) type open circuit potential (OCP) based enzyme sensing principle can minimize the catalytic turnover of the enzyme reaction, thereby providing longer-term operational stability in future CGM glucose sensors.

methodDET-type OCP based glucose sensors were constructed using gold disk electrodes with glucose dehydrogenase capable of DET which was immobilized using a self-assembled monolayer (SAM). The single enzyme layer prepared on the gold electrode was operated in the presence of glucose, using in vitro buffer solution, continuously for over 3 months with the OCP sensor signal monitored every 10 seconds at 25°C.

resultsThe DET-type OCP glucose sensor was continuously operated for more than 3 months without a significant decrease of the sensor signal and sensitivity (slope). These results suggest that the DET-type OCP glucose sensor is far more stable than the sensor constructed based on the amperometric principle. The long-term stability of DET-type OCP glucose sensor is attributed to the enzyme's minimized catalytic reaction during the operation, thereby extending the lifetime of enzyme.

conclusionThe DET-type OCP glucose sensor can be continuously operated for more than 3 months at 25 °C, in vitro without significant decreases in sensor signal and sensitivity. While the further investigation will be required for in vivo validation, the DET-type OCP glucose sensor is ideal for next generation CGM's, especially in long duration implantable use cases.

Indexed as

Biosensing TechniquesBlood Glucose Self-MonitoringBlood GlucoseElectrodesElectronsFlavin-Adenine DinucleotideGlucoseGoldHumansBlood GlucoseFlavin-Adenine DinucleotideGlucoseGold3rd generation glucose sensorcontinuous glucose monitoring (CGM)direct electron transfer (DET)FADGDHlong-term operationOpen circuit potential (OCP)

Identifiers

PMID35466718
PMCPMC9445357

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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.