Evidence map›Paper›PMID 38597428›Full record

ArticleACS sensors2024

Noise Tolerant Photonic Bowtie Grating Environmental Sensor.

Kezheng Li, Nyasha J Suliali, Pankaj K Sahoo, Callum D Silver, Mehmet Davrandi, Kevin Wright, Christopher Reardon, Steven D Johnson, Thomas F Krauss

Abstract read
In one paragraph

Article in ACS sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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  6. 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

9 authors.

Kezheng LiSchool of Physics, Engineering and Technology, University of York, Heslington, York YO10 5DD, U.K.ORCID 0000-0002-9234-3312
Nyasha J SulialiSchool of Physics, Engineering and Technology, University of York, Heslington, York YO10 5DD, U.K.ORCID 0000-0003-3217-899X
Pankaj K SahooSchool of Physics, Engineering and Technology, University of York, Heslington, York YO10 5DD, U.K.
Callum D SilverSchool of Physics, Engineering and Technology, University of York, Heslington, York YO10 5DD, U.K.ORCID 0000-0003-4490-3650
Mehmet DavrandiReading Technical Centre, Procter and Gamble Technical Centres Ltd., Reading RG2 0QE, U.K.
Kevin WrightReading Technical Centre, Procter and Gamble Technical Centres Ltd., Reading RG2 0QE, U.K.
Christopher ReardonSchool of Physics, Engineering and Technology, University of York, Heslington, York YO10 5DD, U.K.
Steven D JohnsonSchool of Physics, Engineering and Technology, University of York, Heslington, York YO10 5DD, U.K.ORCID 0000-0002-1786-3182
Thomas F KraussSchool of Physics, Engineering and Technology, University of York, Heslington, York YO10 5DD, U.K.ORCID 0000-0003-4367-6601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resonant photonic refractive index sensors have made major advances based on their high sensitivity and contact-less readout capability, which is advantageous in many areas of science and technology. A major issue for the technological implementation of such sensors is their response to external influences, such as vibrations and temperature variations; the more sensitive a sensor, the more susceptible it also becomes to external influences. Here, we introduce a novel bowtie-shaped sensor that is highly responsive to refractive index variations while compensating for temperature changes and mechanical (linear and angular) vibrations. We exemplify its capability by demonstrating the detection of salinity to a precision of 0.1%, corresponding to 2.3 × 10

Indexed as

PhotonsRefractometrySalinityTemperatureVibrationbowtie gratingguided-mode resonancemechanically robust sensoroptical sensortemperature compensation

Identifiers

PMID38597428
PMCPMC11059099

What OpenQuestion holds

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LicenceCC BY
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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.