Evidence map›Paper›PMID 27275824›Full record

ReviewSensors (Basel, Switzerland)2016

Homogeneous Biosensing Based on Magnetic Particle Labels.

Stefan Schrittwieser, Beatriz Pelaz, Wolfgang J Parak, Sergio Lentijo-Mozo, Katerina Soulantica, Jan Dieckhoff, Frank Ludwig, Annegret Guenther, Andreas Tschöpe, Joerg Schotter

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 98 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Magnetic Particles for Advanced Molecular Diagnosis.Materials (Basel, Switzerland) · 2019
    Review
  17. Development of an Immunosorbent for Solid-Phase NMR-Based Assay.Doklady. Biochemistry and biophysics · 2019
    Article
  18. Direct Diagnostic Tests for Lyme Disease.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Review
  19. Article
  20. 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

10 authors at 5 institutions in 3 countries.

Stefan SchrittwieserMolecular Diagnostics, AIT Austrian Institute of Technology, Vienna1220, Austria. stefan.schrittwieser@ait.ac.at.
Beatriz PelazFachbereich Physik, Philipps-Universität Marburg, Marburg 35037, Germany. beatriz.pelazgarcia@physik.uni-marburg.de.
Wolfgang J ParakFachbereich Physik, Philipps-Universität Marburg, Marburg 35037, Germany. wolfgang.parak@physik.uni-marburg.de.
Sergio Lentijo-MozoLaboratoire de Physique et Chimie des Nano-objets (LPCNO), Université de Toulouse, INSA, UPS, CNRS, Toulouse 31077, France. sergiolentijo@gmail.com.
Katerina SoulanticaLaboratoire de Physique et Chimie des Nano-objets (LPCNO), Université de Toulouse, INSA, UPS, CNRS, Toulouse 31077, France. ksoulant@insa-toulouse.fr.
Jan DieckhoffInstitute of Electrical Measurement and Fundamental Electrical Engineering, TU Braunschweig, Braunschweig 38106, Germany. j.dieckhoff@uke.de.
Frank LudwigInstitute of Electrical Measurement and Fundamental Electrical Engineering, TU Braunschweig, Braunschweig 38106, Germany. f.ludwig@tu-bs.de.
Annegret GuentherExperimentalphysik, Universität des Saarlandes, Saarbrücken 66123, Germany. annegret.guenther@web.de.
Andreas TschöpeExperimentalphysik, Universität des Saarlandes, Saarbrücken 66123, Germany. a.tschoepe@nano.uni-saarland.de.
Joerg SchotterMolecular Diagnostics, AIT Austrian Institute of Technology, Vienna1220, Austria. joerg.schotter@ait.ac.at.
Austrian Institute of Technology · ATCentre National de la Recherche Scientifique · FRPhilipps University of Marburg · DESaarland University · DETechnische Universität Braunschweig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing availability of biomarker panels for molecular diagnostics is leading to an increasing need for fast and sensitive biosensing technologies that are applicable to point-of-care testing. In that regard, homogeneous measurement principles are especially relevant as they usually do not require extensive sample preparation procedures, thus reducing the total analysis time and maximizing ease-of-use. In this review, we focus on homogeneous biosensors for the in vitro detection of biomarkers. Within this broad range of biosensors, we concentrate on methods that apply magnetic particle labels. The advantage of such methods lies in the added possibility to manipulate the particle labels by applied magnetic fields, which can be exploited, for example, to decrease incubation times or to enhance the signal-to-noise-ratio of the measurement signal by applying frequency-selective detection. In our review, we discriminate the corresponding methods based on the nature of the acquired measurement signal, which can either be based on magnetic or optical detection. The underlying measurement principles of the different techniques are discussed, and biosensing examples for all techniques are reported, thereby demonstrating the broad applicability of homogeneous in vitro biosensing based on magnetic particle label actuation.

Indexed as

BiomarkersBiosensing TechniquesHumansMagnetic FieldsMagneticsPathology, MolecularBiomarkersAC susceptibilityasynchronous magnetorotationbiosensorhomogeneous assaymagnetic nanoparticlemagnetic relaxation switchmagneto-opticsmagnetorelaxationnanorodNMR

Identifiers

PMID27275824
PMCPMC4934254
OpenAlexW2411743488

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.