Evidence map›Paper›PMID 40363370›Full record

ArticleSensors (Basel, Switzerland)2025

All-Fiber LITES Sensor Based on Hollow-Core Anti-Resonant Fiber and Self-Designed Low-Frequency Quartz Tuning Fork.

Xiaorong Sun, Weipeng Chen, Ying He, Haiyue Sun, Shunda Qiao, Yufei Ma

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

6 authors.

Xiaorong SunNational Key Laboratory of Laser Spatial Information, Harbin Institute of Technology, Harbin 150001, China.
Weipeng ChenNational Key Laboratory of Laser Spatial Information, Harbin Institute of Technology, Harbin 150001, China.
Ying HeNational Key Laboratory of Laser Spatial Information, Harbin Institute of Technology, Harbin 150001, China.
Haiyue SunNational Key Laboratory of Laser Spatial Information, Harbin Institute of Technology, Harbin 150001, China.
Shunda QiaoNational Key Laboratory of Laser Spatial Information, Harbin Institute of Technology, Harbin 150001, China.
Yufei MaNational Key Laboratory of Laser Spatial Information, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-9788-7984

Funding

China Postdoctoral Science Foundation 2024M764172Fundamental Research Funds for the Central Universities HIT.OCEF.2023011Heilongjiang Postdoctoral Fund LBH-Z23144, LBH-Z24155Key Laboratory of Opto-Electronic Information Acquisition and Manipulation (Anhui University), Ministry of Education OEIAM202202National Natural Science Foundation of China 62335006, 62275065, 62022032, 62405078Natural Science Foundation of Heilongjiang Province LH2024F031
6 · The paper itself

Abstract

In this paper, an all-fiber light-induced thermoelastic spectroscopy (LITES) sensor based on hollow-core anti-resonant fiber (HC-ARF) and self-designed low-frequency quartz tuning fork (QTF) is reported for the first time. By utilizing HC-ARF as both the transmission medium and gas chamber, the laser tail fiber was spatially coupled with the HC-ARF, and the end of the HC-ARF was directly guided onto the QTF surface, resulting in an all-fiber structure. This design eliminated the need for lens combinations, thereby enhancing system stability and reducing cost and size. Additionally, a self-designed rectangular-tip QTF with a low resonant frequency of 8.69 kHz was employed to improve the sensor's detection performance. Acetylene (C

Indexed as

all-fiberhollow-core anti-resonant fiber (HC-ARF)light-induced thermoelastic spectroscopy (LITES)self-designed low-frequency quartz tuning fork (QTF)sensor

Identifiers

PMID40363370
PMCPMC12074232

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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.