Evidence map›Paper›PMID 28880211›Full record

ReviewSensors (Basel, Switzerland)2017

Dual-Mode Electro-Optical Techniques for Biosensing Applications: A Review.

José Juan-Colás, Steven Johnson, Thomas F Krauss

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Multimodal Biosensing of Foodborne Pathogens.International journal of molecular sciences · 2024
    Review
  7. Review
  8. Article
  9. Review
  10. Electrochemical biosensors for pathogen detection.Biosensors & bioelectronics · 2020
    Review
  11. Review
  12. Review
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

3 authors.

José Juan-ColásDepartment of Physics, University of York, York YO10 5DD, UK. jose.juancolas@york.ac.uk.ORCID 0000-0002-1031-915X
Steven JohnsonDepartment of Electronic Engineering, University of York, York YO10 5DD, UK. steven.johnson@york.ac.uk.
Thomas F KraussDepartment of Physics, University of York, York YO10 5DD, UK. thomas.krauss@york.ac.uk.ORCID 0000-0003-4367-6601

Funding

Biotechnology and Biological Sciences Research Council BB/L018160/1Medical Research Council MC_PC_15073
6 · The paper itself

Abstract

The monitoring of biomolecular interactions is a key requirement for the study of complex biological processes and the diagnosis of disease. Technologies that are capable of providing label-free, real-time insight into these interactions are of great value for the scientific and clinical communities. Greater understanding of biomolecular interactions alongside increased detection accuracy can be achieved using technology that can provide parallel information about multiple parameters of a single biomolecular process. For example, electro-optical techniques combine optical and electrochemical information to provide more accurate and detailed measurements that provide unique insights into molecular structure and function. Here, we present a comparison of the main methods for electro-optical biosensing, namely, electrochemical surface plasmon resonance (EC-SPR), electrochemical optical waveguide lightmode spectroscopy (EC-OWLS), and the recently reported silicon-based electrophotonic approach. The comparison considers different application spaces, such as the detection of low concentrations of biomolecules, integration, the tailoring of light-matter interaction for the understanding of biomolecular processes, and 2D imaging of biointeractions on a surface.

Indexed as

Biosensing TechniquesHumansSpectrum AnalysisSurface Plasmon Resonanceelectro-optical deviceslabel-free detectionoptical biosensors

Identifiers

PMID28880211
PMCPMC5620729

What OpenQuestion holds

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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.