Evidence map›Paper›PMID 40293033›Full record

ArticleSensors (Basel, Switzerland)2025

Research on the Measurement of Particulate Matter Concentration in Diesel Vehicle Exhaust Using the Light Scattering Method.

Jie Wang, Xinjian Liu, Chao Wang, Yiyang Qiu, Jie Zhou, Qi Dang

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
–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

6 authors.

Jie WangSchool of Automotive and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430070, China.ORCID 0009-0002-0469-1040
Xinjian LiuSchool of Automotive and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430070, China.
Chao WangSchool of Automotive and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430070, China.
Yiyang QiuSchool of Automotive and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430070, China.
Jie ZhouHuayuan Electric Power Design Institute, Wuhan 430050, China.
Qi DangWuhan Bitzer Technology Co., Ltd., Wuhan 430050, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the current issues with diesel vehicle exhaust after-treatment system particulate sensors-such as low accuracy and inability to perform continuous measurements of particulate mass concentration-a new sensor based on the light scattering method is proposed. During the research, it was found that the light scattering method can be affected by soot particles in the exhaust, which contaminate the optical components and reduces measurement accuracy. To solve this issue, a structure with alumina ceramic embedded lenses and optical fibers was designed, effectively improving the sensor's resistance to contamination. The detection device is based on the principle of light scattering, and a particulate concentration measurement system with a 90° scattering angle was built. Calibration experiments were conducted using the dust particles generated by the device. The experimental results show that this sensor can measure particulate concentrations accurately, in real time, and with good stability, achieving a calibration error of less than ±5%.

Indexed as

anti-contaminationexhaustparticulate matter concentrationscatteringsensor

Identifiers

PMID40293033
PMCPMC11946817

What OpenQuestion holds

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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.