Evidence map›Paper›PMID 35177879›Full record

ArticleSensors and actuators. B, Chemical2022

Localised plasmonic hybridisation mode optical fibre sensing of relative humidity.

LiangLiang Liu, Serhiy Korposh, David Gomez, Ricardo Correia, Barrie R Hayes-Gill, Stephen P Morgan

Open access · hybridAbstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 13 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

LiangLiang LiuOptics and Photonics Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, U.K.
Serhiy KorposhOptics and Photonics Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, U.K.
David GomezOptics and Photonics Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, U.K.
Ricardo CorreiaOptics and Photonics Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, U.K.
Barrie R Hayes-GillOptics and Photonics Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, U.K.
Stephen P MorganOptics and Photonics Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, U.K.
University of Nottingham · GB

Funding

Medical Research Council MR/R025266/1
6 · The paper itself

Abstract

This work reports an optical fibre probe functionalised with 'cotton-shaped' gold-silica nanostructures for relative humidity (RH) monitoring. The sensor response utilises the localised surface plasmon resonance (LSPR) of self-assembled nanostructures: gold nanospheres (40 nm) surrounded by one layer of poly (allylamine hydrochloride) and hydrophilic silica nanoparticles (10-20 nm) on the end-facet of an optical fibre via a wavelength shift of the reflected light. Sensor optimisation is investigated by varying the density of gold nanoparticles on the end-facet of an optical fibre. It is demonstrated that the plasmonic hybridisation mode appearing when the average gold interparticle distance is small (Median: 7.5 nm) is more sensitive to RH after functionalisation than the singular plasmonic mode. The plasmonic hybridisation mode sensor demonstrates a high linear regression to RH with a sensitivity of 0.63 nm/%RH and excellent reversibility. The response time (T

Indexed as

Humidity sensorLSPROptical fibre sensorPlasmonic hybridisation

Identifiers

PMID35177879
PMCPMC8784827
OpenAlexW3216230819

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.