Evidence map›Paper›PMID 41472801›Full record

ArticlePhotoacoustics2025

Photoacoustic spectroscopy detection based on complementary interdigital cantilever enhanced Fabry-Perot acoustic sensor.

Chongyue Yan, Qiaoyun Wang, Tianyu Li, Zhiqi Gao, Yinji Chen, Ziheng Zhu, Zhigang Li, Dongxiao Hou, Qiang Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Photoacoustics, 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

9 authors.

Chongyue YanCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China.
Qiaoyun WangCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China.
Tianyu LiCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China.
Zhiqi GaoCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China.
Yinji ChenCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China.
Ziheng ZhuCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China.
Zhigang LiCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China.
Dongxiao HouCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China.
Qiang LiuCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic spectroscopy (PAS) has been widely used for detecting trace gases, but enhancing sound pressure detection capability of the acoustic sensor is crucial for improving gas detection sensitivity of the PAS system. In this paper, a complementary interdigital (CID) cantilever Fabry-Perot (F-P) fiber optic acoustic sensor (FOAS) was developed. Experimental results demonstrated that the CID cantilever operated at its resonance frequency of 1010 Hz exhibited a high sensitivity of 923.7 nm/Pa, and exhibited a signal-to-noise ratio of 72.2 dB and a minimum detectable pressure of 16.4 μPa/Hz

Indexed as

C2H2 detectionComplementary interdigital cantileverFabry-Perot acoustic sensorPhotoacoustic spectroscopyTrace gas detection

Identifiers

PMID41472801
PMCPMC12745952

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.