Evidence map›Paper›PMID 28627257›Full record

ArticleJournal of diabetes science and technology2018

Toward the Development of a Glucose Dehydrogenase-Based Saliva Glucose Sensor Without the Need for Sample Preparation.

Chi Lin, Breanna Pratt, Mackenzie Honikel, Alaina Jenish, Bhavna Ramesh, Amnah Alkhan, Jeffrey T La Belle

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Noninvasive Glucose Sensing In Vivo.Sensors (Basel, Switzerland) · 2023
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Contact-Lens Biosensors.Sensors (Basel, Switzerland) · 2018
    Review
  9. 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

7 authors at 1 institution in 1 country.

Chi Lin1 School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Breanna Pratt1 School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Mackenzie Honikel1 School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Alaina Jenish1 School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Bhavna Ramesh1 School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Amnah Alkhan1 School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Jeffrey T La Belle1 School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Arizona State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStrict glycemic control is known to be a vital key in the management of diabetes mellitus (DM). However, traditional methods face limitations in their efficacy due to the pain and invasiveness of needle pricking which often discourages DM patients from performing the required number of tests per day. Saliva glucose (SG) sensing has long been considered a noninvasive alternative to blood glucose monitoring for diabetes management, however the sample preparation and sensor detection limit have been deemed as challenges to overcome. Herein, we describe a preliminary clinical validation of a disposable SG sensor without any requirement for sample preparation.

methodsThe sensor utilizes glucose dehydrogenase flavine-adenine dinucleotide (GDH-FAD) in conjunction with disposable screen printed electrodes to measure glucose levels in saliva collected directly from 9 healthy subjects. Cyclic voltammetry and amperometric-time (Amp-it) assays were used to develop calibration curves and test subjects. Sensor calibration was performed using simulated saliva at 6.5 pH and 37ºC.

resultsThe lower limit of detection was determined to be 0.11 mg/dL. A lag time of 15 minutes with a positive correlation between SG and BG levels was found, which agrees with literature results. The detected SG ranges from 2.38 to 3.40 mg/dL over a BG range of 90 to 143 mg/dL.

conclusionThis is the first reported use of measuring SG with GDH-FAD without prior sample preparation. Upon optimization, the sensor has the potential to serve as a supplement to blood glucose monitoring.

Indexed as

AdultDiabetes MellitusElectrodesFemaleGlucoseGlucose 1-DehydrogenaseHumansMaleSalivaSensitivity and SpecificityYoung AdultGlucoseGlucose 1-Dehydrogenasebiosensordiabetes mellitusglucose dehydrogenase flavin-adenine dinucleotideglucose monitoringsaliva glucose monitoring

Identifiers

PMID28627257
PMCPMC5761970
OpenAlexW2644344515

What OpenQuestion holds

Textmetadata
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.