Evidence map›Paper›PMID 36991701›Full record

ArticleSensors (Basel, Switzerland)2023

Enzymatic Glucose Fiber Sensor for Glucose Concentration Measurement with a Heterodyne Interferometry.

Cheng-Chih Hsu, Wan-Yu Chung, Chun-Yi Chang, Chyan-Chyi Wu, Cheng-Ling Lee

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
2.1field-weighted citation impact, top 12% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  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

5 authors at 3 institutions in 1 country.

Cheng-Chih HsuDepartment of Electro-Optical Engineering, National United University, No. 2 Lienda, Miaoli 36063, Taiwan.
Wan-Yu ChungDepartment of Photonics Engineering, Yuan Ze University, 135, Yuan-Tung Road, Taoyuan City 32003, Taiwan.
Chun-Yi ChangDepartment of Electro-Optical Engineering, National United University, No. 2 Lienda, Miaoli 36063, Taiwan.
Chyan-Chyi WuDepartment of Mechanical and Electromechanical Engineering, Tamkang University, New Taipei 25137, Taiwan.
Cheng-Ling LeeDepartment of Electro-Optical Engineering, National United University, No. 2 Lienda, Miaoli 36063, Taiwan.ORCID 0000-0002-6494-6685
National United University · TWAdvanced Semiconductor Engineering (Taiwan) · TWTamkang University · TW

Funding

National Science and Technology Council (NSTC) of Taiwan MOST 111-2221-E-239-008-MY2, MOST 111-2221-E-239-028
6 · The paper itself

Abstract

In this study, we developed a glucose fiber sensor incorporating heterodyne interferometry to measure the phase difference produced by the chemical reaction between glucose and glucose oxidase (GOx). Both theoretical and experimental results showed that the amount of phase variation is inversely proportional to glucose concentration. The proposed method provided a linear measurement range of the glucose concentration from 10 mg/dL to 550 mg/dL. The experimental results indicated that the sensitivity is proportional to the length of the enzymatic glucose sensor, and the optimum resolution can be obtained at a sensor length of 3 cm. The optimum resolution of the proposed method is better than 0.6 mg/dL. Moreover, the proposed sensor demonstrates good repeatability and reliability. The average relative standard deviation (RSD) is better than 10% and satisfied the minimum requirement for point-of-care devices.

Indexed as

GlucoseOptical FibersGlucose OxidaseInterferometryReproducibility of ResultsGlucoseGlucose Oxidaseenzymatic glucose sensorheterodyne interferometryno-core fiber

Identifiers

PMID36991701
PMCPMC10055821
OpenAlexW4323852684

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.