Evidence map›Paper›PMID 39732923›Full record

ArticleScientific reports2024

Numerical optimization of anti resonant hollow core fiber for high sensitivity methane detection.

Hassan Arman, Saeed Olyaee, Mahmood Seifouri

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hassan ArmanNano-Photonics and Optoelectronics Research Laboratory (NORLab), Shahid Rajaee Teacher Training University, Tehran, 16788-15811, Iran.
Saeed OlyaeeNano-Photonics and Optoelectronics Research Laboratory (NORLab), Shahid Rajaee Teacher Training University, Tehran, 16788-15811, Iran. s_olyaee@sru.ac.ir.
Mahmood SeifouriFaculty of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.

Funding

Shahid Rajaee Teacher Training University 5973.84
6 · The paper itself

Abstract

This study presents an innovative methane gas sensor design based on anti-resonant hollow-core fiber (AR-HCF) technology, optimized for high-precision detection at 3.3[Formula: see text]. Our numerical analysis explores the geometric optimization of the AR-HCF's structural parameters, incorporating real-world component specifications. The proposed design features a 65[Formula: see text] diameter hollow core surrounded by seven silica rings. We achieved significant improvements in confinement loss and optical power distribution through progressive structural modifications. The optimized structure demonstrated a confinement loss of [Formula: see text] and over 95% optical power confinement in the hollow core. Our model predicts a relative sensitivity of [Formula: see text], a response time of 5.4 s, and a theoretical detection threshold of 2.24 ppm. The limit of detection (LoD) was estimated to be 3.8 ppbv, and the normalized noise equivalent absorption (NNEA) coefficient was [Formula: see text]. The sensor response exhibited excellent linearity over its operating range, with an R

Indexed as

Anti-resonant hollow core fiberCapillary tubeConfinement lossLimit of detectionMethane sensorNumerical analysisRelative sensitivityResponse time

Identifiers

PMID39732923
PMCPMC11682127

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.