Evidence map›Paper›PMID 40573564›Full record

ArticleSensors (Basel, Switzerland)2025

All-Ceramic Fiber Fabry-Perot Cavity High-Temperature Pulsating Pressure Sensor Based on HTCC.

Xiangcong Xu, Fei Wang, Guoqing Han, Huiyi Tang, Wanfeng Zhou, Xiaohua Lei, Xianming Liu

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
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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

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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

7 authors.

Xiangcong XuChongqing Materials Research Institute Co., Ltd., National Engineering Research Center for Instrument Functional Materials, Chongqing 400707, China.
Fei WangThe 43rd Research Institute of China Electronics Technology Group Corporation, Hefei 235000, China.
Guoqing HanChongqing Materials Research Institute Co., Ltd., National Engineering Research Center for Instrument Functional Materials, Chongqing 400707, China.ORCID 0000-0001-9172-3594
Huiyi TangChongqing Materials Research Institute Co., Ltd., National Engineering Research Center for Instrument Functional Materials, Chongqing 400707, China.
Wanfeng ZhouThe 43rd Research Institute of China Electronics Technology Group Corporation, Hefei 235000, China.
Xiaohua LeiKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing 400044, China.
Xianming LiuKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing 400044, China.

Funding

National Key Research and Development Program of China 2022YFB3207502National Natural Science Foundation of China 52175530
6 · The paper itself

Abstract

In the aerospace, energy and nuclear energy sectors, dynamic pressure measurement of power equipment and pressure vessels in high-temperature environments is critical for validating design, manufacturing processes and operational condition monitoring. The existing electric sensors are resistant to temperature. It is difficult to meet the pressure measurement requirements of high temperature and high-frequency responses. In this paper, combining the material properties of high-temperature co-fired ceramics (HTCC) with the structural characteristics of Fabry-Perot, an all-ceramic fiber-optic Fabry-Perot high-temperature pulsating pressure sensor based on a HTCC pressure- sensing diaphragm and ceramic high-temperature sintering process, is proposed. Experimental results show that in the pressure range of 6 MPa, the static pressure sensitivity of the sensor is 1.30 nm/MPa, and the linear goodness of fit reaches 0.99913. The dynamic response frequency of the sensor reaches 598.5 kHz. The survival time at high temperature of 800 °C is more than 80 h. The sensitivity to temperature is 0.00475 nm/°C.

Indexed as

all-ceramicFabry–Perotfast responseHTCCpressure sensors

Identifiers

PMID40573564
PMCPMC12196888

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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.