Evidence map›Paper›PMID 39275735›Full record

ArticleSensors (Basel, Switzerland)2024

High-Sensitivity and In Situ Multi-Component Detection of Gases Based on Multiple-Reflection-Cavity-Enhanced Raman Spectroscopy.

Dewang Yang, Wenhua Li, Haoyue Tian, Zhigao Chen, Yuhang Ji, Hui Dong, Yongmei Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

7 authors.

Dewang YangCollege of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Wenhua LiCollege of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Haoyue TianFaculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China.
Zhigao ChenCollege of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Yuhang JiCollege of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Hui DongInstitute of Machinery Manufacturing Technology, China Academy of Engineering Physics (CAEP), Mianyang 621900, China.
Yongmei WangCollege of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Funding

National Natural Science Foundation of China 52304236
6 · The paper itself

Abstract

Raman spectroscopy with the advantages of the in situ and simultaneous detection of multi-components has been widely used in the identification and quantitative detection of gas. As a type of scattering spectroscopy, the detection sensitivity of Raman spectroscopy is relatively lower, mainly due to the low signal collection efficiency. This paper presents the design and assembly of a multi-channel cavity-enhanced Raman spectroscopy system, optimizing the structure of the sample pool to reduce the loss of the laser and increase the excitation intensity of the Raman signals. Moreover, three channels are used to collect Raman signals to increase the signal collection efficiency for improving the detection sensitivity. The results showed that the limits of detection for the CH

Indexed as

high sensitivitymulti-component detectionmultiple-reflection cavityRaman spectroscopy

Identifiers

PMID39275735
PMCPMC11398158

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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.