Evidence map›Paper›PMID 26861328›Full record

ArticleSensors (Basel, Switzerland)2016

A Complete Optical Sensor System Based on a POF-SPR Platform and a Thermo-Stabilized Flow Cell for Biochemical Applications.

Nunzio Cennamo, Francesco Chiavaioli, Cosimo Trono, Sara Tombelli, Ambra Giannetti, Francesco Baldini, Luigi Zeni

Abstract read
In one paragraph

Article 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

7 authors.

Nunzio CennamoDepartment of Industrial and Information Engineering, Second University of Naples, Via Roma 29, Aversa 81031, Italy. nunzio.cennamo@unina2.it.
Francesco ChiavaioliInstitute of Applied Physics "Nello Carrara", CNR, Via Madonna del Piano 10, Sesto Fiorentino 50019, Italy. f.chiavaioli@ifac.cnr.it.
Cosimo TronoInstitute of Applied Physics "Nello Carrara", CNR, Via Madonna del Piano 10, Sesto Fiorentino 50019, Italy. c.trono@ifac.cnr.it.
Sara TombelliInstitute of Applied Physics "Nello Carrara", CNR, Via Madonna del Piano 10, Sesto Fiorentino 50019, Italy. s.tombelli@ifac.cnr.it.
Ambra GiannettiInstitute of Applied Physics "Nello Carrara", CNR, Via Madonna del Piano 10, Sesto Fiorentino 50019, Italy. a.giannetti@ifac.cnr.it.
Francesco BaldiniInstitute of Applied Physics "Nello Carrara", CNR, Via Madonna del Piano 10, Sesto Fiorentino 50019, Italy. f.baldini@ifac.cnr.it.
Luigi ZeniDepartment of Industrial and Information Engineering, Second University of Naples, Via Roma 29, Aversa 81031, Italy. luigi.zeni@unina2.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An optical sensor platform based on surface plasmon resonance (SPR) in a plastic optical fiber (POF) integrated into a thermo-stabilized flow cell for biochemical sensing applications is proposed. This device has been realized and experimentally tested by using a classic receptor-analyte assay. For this purpose, the gold surface of the POF was chemically modified through the formation of a self-assembling monolayer. The surface robustness of the POF-SPR platform has been tested for the first time thanks to the flow cell. The experimental results show that the proposed device can be successfully used for label-free biochemical sensing. The final goal of this work is to achieve a complete, small-size, simple to use and low cost optical sensor system. The whole system with the flow cell and the optical sensor are extensively described, together with the experimental results obtained with an immunoglobulin G (IgG)/anti-IgG assay.

Indexed as

biosensorsflow cellplastic optical fibersensors systemsurface plasmon resonance

Identifiers

PMID26861328
PMCPMC4801573

What OpenQuestion holds

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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.