Evidence map›Paper›PMID 39981408›Full record

ArticlePhotoacoustics2025

Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH

Shenlong Zha, Hang Chen, Chen Liu, Yuxiang Guo, Hongliang Ma, Qilei Zhang, Lingli Li, Shengbao Zhan, Gang Cheng, Yanan Cao and 1 more

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Shenlong ZhaSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, China.
Hang ChenSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, China.
Chen LiuSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, China.
Yuxiang GuoSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, China.
Hongliang MaSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, China.
Qilei ZhangSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, China.
Lingli LiSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, China.
Shengbao ZhanSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, China.
Gang ChengState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China.
Yanan CaoState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China.
Pan PanSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An innovative and miniature photoacoustic spectroscopy (PAS) gas sensor based on a multivariate-coupled amplification photoacoustic cell (MVCA-PAC) with a total length of 100 mm was developed to achieve ultra-sensitive trace CH

Indexed as

Chebyshev rational fractional-order filteringDetection limitMeasurement precisionMultivariate coupled amplificationPhotoacoustic spectroscopy

Identifiers

PMID39981408
PMCPMC11840218

What OpenQuestion holds

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LicenceCC BY-NC
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.