Evidence map›Paper›PMID 29783711›Full record

ArticleSensors (Basel, Switzerland)2018

Grating-Coupled Surface Plasmon Resonance (GC-SPR) Optimization for Phase-Interrogation Biosensing in a Microfluidic Chamber.

Stefano Rossi, Enrico Gazzola, Pietro Capaldo, Giulia Borile, Filippo Romanato

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  12. Review
  13. Metadevices with Potential Practical Applications.Molecules (Basel, Switzerland) · 2019
    Review
  14. 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.

Stefano RossiDepartment of Physics and Astronomy "G. Galilei", University of Padua, Via Marzolo 8, 35131 Padua, Italy. stefano.rossi.16@studenti.unipd.it.
Enrico GazzolaDepartment of Physics and Astronomy "G. Galilei", University of Padua, Via Marzolo 8, 35131 Padua, Italy. enrico.gazzola@unipd.it.
Pietro CapaldoCNR-INFM TASC IOM National Laboratory, Area Science Park S.S. 14 km 163.5, 34012 Trieste, Italy. pietrocapaldo@gmail.com.
Giulia BorileDepartment of Physics and Astronomy "G. Galilei", University of Padua, Via Marzolo 8, 35131 Padua, Italy. giulia.borile@unipd.it.
Filippo RomanatoDepartment of Physics and Astronomy "G. Galilei", University of Padua, Via Marzolo 8, 35131 Padua, Italy. filippo.romanato@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface Plasmon Resonance (SPR)-based sensors have the advantage of being label-free, enzyme-free and real-time. However, their spreading in multidisciplinary research is still mostly limited to prism-coupled devices. Plasmonic gratings, combined with a simple and cost-effective instrumentation, have been poorly developed compared to prism-coupled system mainly due to their lower sensitivity. Here we describe the optimization and signal enhancement of a sensing platform based on phase-interrogation method, which entails the exploitation of a nanostructured sensor. This technique is particularly suitable for integration of the plasmonic sensor in a lab-on-a-chip platform and can be used in a microfluidic chamber to ease the sensing procedures and limit the injected volume. The careful optimization of most suitable experimental parameters by numerical simulations leads to a 30⁻50% enhancement of SPR response, opening new possibilities for applications in the biomedical research field while maintaining the ease and versatility of the configuration.

Indexed as

biosensinglab-on-a-chipmicrofluidicnanofabricationsurface plasmon resonance

Identifiers

PMID29783711
PMCPMC5981862

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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.