Evidence map›Paper›PMID 30577634›Full record

ArticleMicromachines2018

Theoretical Modeling of Viscosity Monitoring with Vibrating Resonance Energy Transfer for Point-of-Care and Environmental Monitoring Applications.

Gorkem Memisoglu, Burhan Gulbahar, Joseba Zubia, Joel Villatoro

Abstract read
In one paragraph

Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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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

4 authors.

Gorkem MemisogluDepartment of Communications Engineering, Escuela de Ingeniería de Bilbao, University of the Basque Country (UPV/EHU), Alda. Urquijo s/n, E-48013 Bilbao, Spain. gorkem.memisoglu@ehu.eus.ORCID 0000-0002-3229-6702
Burhan GulbaharDepartment of Electrical and Electronics Engineering, Ozyegin University, 34794 Istanbul, Turkey. burhan.gulbahar@ozyegin.edu.tr.ORCID 0000-0003-3756-3280
Joseba ZubiaDepartment of Communications Engineering, Escuela de Ingeniería de Bilbao, University of the Basque Country (UPV/EHU), Alda. Urquijo s/n, E-48013 Bilbao, Spain. joseba.zubia@ehu.eus.ORCID 0000-0002-9137-1733
Joel VillatoroDepartment of Communications Engineering, Escuela de Ingeniería de Bilbao, University of the Basque Country (UPV/EHU), Alda. Urquijo s/n, E-48013 Bilbao, Spain. agustinjoel.villatoro@ehu.eus.ORCID 0000-0002-0842-9173

Funding

H2020 Marie Skłodowska-Curie Actions 7123694
6 · The paper itself

Abstract

Förster resonance energy transfer (FRET) between two molecules in nanoscale distances is utilized in significant number of applications including biological and chemical applications, monitoring cellular activities, sensors, wireless communications and recently in nanoscale microfluidic radar design denoted by the vibrating FRET (VFRET) exploiting hybrid resonating graphene membrane and FRET design. In this article, a low hardware complexity and novel microfluidic viscosity monitoring system architecture is presented by exploiting VFRET in a novel microfluidic system design. The donor molecules in a microfluidic channel are acoustically vibrated resulting in VFRET in the case of nearby acceptor molecules detected with their periodic optical emission signals. VFRET does not require complicated hardware by directly utilizing molecular interactions detected with the conventional photodetectors. The proposed viscosity measurement system design is theoretically modeled and numerically simulated while the experimental challenges are discussed. It promises point-of-care and environmental monitoring applications including viscosity characterization of blood or polluted water.

Indexed as

environmental monitoringfluidic characterizationförster resonance energy transfer (FRET)microfluidicspoint-of-careviscosity monitoring

Identifiers

PMID30577634
PMCPMC6356408

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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.