Evidence map›Paper›PMID 29959314›Full record

ArticleNature communications2018

Continuous biomarker monitoring by particle mobility sensing with single molecule resolution.

Emiel W A Visser, Junhong Yan, Leo J van IJzendoorn, Menno W J Prins

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

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  12. Generalizable Molecular Switch Designs forAccounts of chemical research · 2025
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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.

Emiel W A VisserDepartment of Applied Physics, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands.
Junhong YanInstitute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB, Eindhoven, Netherlands.
Leo J van IJzendoornDepartment of Applied Physics, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands.
Menno W J PrinsDepartment of Applied Physics, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands. m.w.j.prins@tue.nl.ORCID http://orcid.org/0000-0002-9788-7298

Funding

EC | Horizon 2020 (European Union Framework Programme for Research and Innovation) 703523
6 · The paper itself

Abstract

Healthcare is in demand of technologies for real-time sensing in order to continuously guard the state of patients. Here we present biomarker-monitoring based on the sensing of particle mobility, a concept wherein particles are coupled to a substrate via a flexible molecular tether, with both the particles and substrate provided with affinity molecules for effectuating specific and reversible interactions. Single-molecular binding and unbinding events modulate the Brownian particle motion and the state changes are recorded using optical scattering microscopy. The technology is demonstrated with DNA and protein as model biomarkers, in buffer and in blood plasma, showing sensitivity to picomolar and nanomolar concentrations. The sensing principle is direct and self-contained, without consuming or producing any reactants. With its basis in reversible interactions and single-molecule resolution, we envisage that the presented technology will enable biosensors for continuous biomarker monitoring with high sensitivity, specificity, and accuracy.

Indexed as

Biosensing TechniquesAnimalsBiomarkersBiotinCattleDNADNA ProbesDNA, Single-StrandedHumansKineticsMagnetite NanoparticlesMicroRNAsMicroscopy, VideoMonitoring, PhysiologicSensitivity and SpecificitySingle Molecule ImagingBiomarkersBiotinDNADNA ProbesDNA, Single-StrandedMagnetite NanoparticlesMicroRNAsMIRN126 microRNA, humanStreptavidinThrombin

Identifiers

PMID29959314
PMCPMC6026194

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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.