Evidence map›Paper›PMID 39211429›Full record

ArticlePhotoacoustics2024

Simultaneous measurement of methane, propane and isobutane using a compact mid-infrared photoacoustic spectrophone.

Huaiyu Mei, Gaoxuan Wang, Yinghe Xu, Haijie He, Jun Yao, Sailing He

Abstract read
In one paragraph

Article in Photoacoustics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Highly Sensitive CHSensors (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Highly sensitive HPhotoacoustics · 2025
    Article
  9. LITES-Based Sensitive COSensors (Basel, Switzerland) · 2025
    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

6 authors.

Huaiyu MeiCentre for Optical and Electromagnetic Research, Ningbo Innovation Center, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310058, China.
Gaoxuan WangCentre for Optical and Electromagnetic Research, Ningbo Innovation Center, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310058, China.
Yinghe XuTaizhou Hospital, Zhejiang University, Taizhou, China.
Haijie HeTaizhou University, Taizhou, 318000, China.
Jun YaoTaizhou University, Taizhou, 318000, China.
Sailing HeTaizhou Hospital, Zhejiang University, Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrocarbon gas sensing is a challenging task using laser absorption spectroscopy due to the complex and broad structure of absorption lines. This application requires quick, accurate and highly sensitive detection of hydrocarbon gases concentrations. In this paper, a compact photoacoustic spectrophone was developed to simultaneously measure methane, propane and isobutane. This spectrophone uses wavelength modulation spectroscopy (WMS) with a single acoustic resonator and a single DFB laser emitting at 3368 nm, which greatly reduces the system complexity without using time-division multiplexing technology for multi-gas sensing. Due to the complex and broadband absorption of hydrocarbon gases, a novel signal processing method based on multilinear regression with Ridge regression (MLR-RG) is proposed to reduce the measurement error caused by the nonlinearity of spectra signal. For single gas measurement, the detection limits of methane, propane, and isobutane are determined to be 828 ppb, 419 ppb, and 619 ppb (SNR

Indexed as

MethaneMulti-gas sensingPhotoacoustic spectroscopyPropaneSecond harmonic signalWavelength-modulation

Identifiers

PMID39211429
PMCPMC11357799

What OpenQuestion holds

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LicenceCC BY
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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.