Evidence map›Paper›PMID 31480415›Full record

ArticleSensors (Basel, Switzerland)2019

Glucose Concentration Measurement in Human Blood Plasma Solutions with Microwave Sensors.

Carlos G Juan, Enrique Bronchalo, Benjamin Potelon, Cédric Quendo, José M Sabater-Navarro

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. A new generation of sensors for non-invasive blood glucose monitoring.American journal of translational research · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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.

Carlos G JuanDepartment of Systems Engineering and Automation, Miguel Hernández University, 03202 Elche, Spain. carlos.juan01@umh.es.ORCID 0000-0003-0793-7958
Enrique BronchaloDepartment of Communications Engineering, Miguel Hernández University, 03202 Elche, Spain.
Benjamin PotelonLaboratoire des Sciences et Techniques de l'Information de la Communication et de la Connaissance, University of Brest, 29200 Brest, France.ORCID 0000-0002-2795-7350
Cédric QuendoLaboratoire des Sciences et Techniques de l'Information de la Communication et de la Connaissance, University of Brest, 29200 Brest, France.
José M Sabater-NavarroDepartment of Systems Engineering and Automation, Miguel Hernández University, 03202 Elche, Spain.

Funding

Ministerio de Ciencia, Innovación y Universidades DPI2016-80391-C3-2-RMinisterio de Educación, Cultura y Deporte FPU14/00401
6 · The paper itself

Abstract

Three microwave sensors are used to track the glucose level of different human blood plasma solutions. In this paper, the sensors are evaluated as glucose trackers in a context close to real human blood. Different plasma solutions sets were prepared from a human blood sample at several added glucose concentrations up to 10 wt%, adding also ascorbic acid and lactic acid at different concentrations. The experimental results for the different sensors/solutions combinations are presented in this work. The sensors show good performance and linearity as glucose level retrievers, although the sensitivities change as the rest of components vary. Different sensor behaviors depending upon the concentrations of glucose and other components are identified and characterized. The results obtained in terms of sensitivity are coherent with previous works, highlighting the contribution of glucose to the dielectric losses of the solution. The results are also consistent with the frequency evolution of the electromagnetic signature of glucose found in the literature, and are helpful for selecting frequency bands for sensing purposes and envisioning future approaches to the challenging measurement in real biological contexts. Discussion of the implications of the results and guidelines for further research and development of more accurate sensors is offered.

Indexed as

MicrowavesBiosensing TechniquesBlood GlucoseHumansBlood Glucosedielectric lossesglucose sensorhuman blood plasmamicrowave resonatormulti-component studypermittivityquality factor

Identifiers

PMID31480415
PMCPMC6749577

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Registered trials

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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.