Evidence map›Paper›PMID 26999233›Full record

ArticleBiosensors2016

Sensing of Salivary Glucose Using Nano-Structured Biosensors.

Yunqing Du, Wenjun Zhang, Ming L Wang

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 62 citations in OpenAlex.

  1. An On-Chip Disposable Salivary Glucose Sensor for Diabetes Control.Journal of diabetes science and technology · 2016
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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

3 authors at 1 institution in 1 country.

Yunqing DuInterdisciplinary Engineering Program, College of Engineering, Northeastern University, 360 Huntington Ave, 400 SN, Boston, MA 02115, USA. du.yu@husky.neu.edu.
Wenjun ZhangInterdisciplinary Engineering Program, College of Engineering, Northeastern University, 360 Huntington Ave, 400 SN, Boston, MA 02115, USA. zhang.wenj@husky.neu.edu.
Ming L WangInterdisciplinary Engineering Program, College of Engineering, Northeastern University, 360 Huntington Ave, 400 SN, Boston, MA 02115, USA. mi.wang@neu.edu.
Northeastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anxiety and pain associated with frequent finger pricking has always been troublesome for diabetics measuring blood glucose (BG) in their daily lives. For this reason, a reliable glucose monitoring system that allows noninvasive measurements is highly desirable. Our main objective is to develop a biosensor that can detect low-level glucose in saliva (physiological range 0.5-20 mg/dL). Salivary glucose (SG) sensors were built using a layer-by-layer self-assembly of single-walled carbon nanotubes, chitosan, gold nanoparticles, and glucose oxidase onto a screen-printed platinum electrode. An electrochemical method was utilized for the quantitative detection of glucose in both buffer solution and saliva samples. A standard spectrophotometric technique was used as a reference method to validate the glucose content of each sample. The disposable glucose sensors have a detection limit of 0.41 mg/dL, a sensitivity of 0.24 μA·s·dL·mg(-1), a linear range of 0.5-20 mg/dL in buffer solution, and a response time of 30 s. A study of 10 healthy subjects was conducted, and SG levels between 1.1 to 10.1 mg/dL were successfully detected. The results revealed that the noninvasive SG monitoring could be an alternative for diabetes self-management at home. This paper is not intended to replace regular BG tests, but to study SG itself as an indicator for the quality of diabetes care. It can potentially help patients control and monitor their health conditions, enabling them to comply with prescribed treatments for diabetes.

Indexed as

AdultBiosensing TechniquesChitosanGlucoseGlucose OxidaseGoldHumansMetal NanoparticlesMiddle AgedNanotubes, CarbonPlatinumSalivaSpectrophotometryYoung AdultChitosanGlucoseGlucose OxidaseGoldNanotubes, CarbonPlatinumbiosensordiabetesglucose monitoringlayer-by-layer assemblynoninvasivesaliva diagnostics

Identifiers

PMID26999233
PMCPMC4810402
OpenAlexW2300934114

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.