Evidence map›Paper›PMID 35884239›Full record

ArticleBiosensors2022

A Simple Optical Aerosol Sensing Method of Sauter Mean Diameter for Particulate Matter Monitoring.

Liangbo Li, Ang Chen, Tian Deng, Jin Zeng, Feifan Xu, Shu Yan, Shu Wang, Wenqing Cheng, Ming Zhu, Wenbo Xu

Abstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Liangbo LiSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
Ang ChenSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
Tian DengSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0003-4265-788X
Jin ZengSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
Feifan XuSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
Shu YanSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
Shu WangSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
Wenqing ChengSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
Ming ZhuSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
Wenbo XuSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0001-6421-9843

Funding

National Natural Science Foundation of China 61873322
6 · The paper itself

Abstract

Mass concentration is a commonly used but insufficient metric to evaluate the particulate matter (PM) exposure hazard. Recent studies have declared that small particles have more serious impacts on human health than big particles given the same mass concentration. However, state-of-the-art PM sensors cannot provide explicit information of the particle size for further analysis. In this work, we adopt Sauter mean diameter (SMD) as a key metric to reflect the particle size besides the mass concentration. To measure SMD, an effective optical sensing method and a proof-of-concept prototype sensor are proposed by using dual wavelengths technology. In the proposed method, a non-linear conversion model is developed to improve the SMD measurement accuracy for aerosol samples of different particle size distributions and reflective indices based on multiple scattering channels. In the experiment of Di-Ethyl-Hexyl-Sebacate (DEHS) aerosols, the outputs of our prototype sensor demonstrated a good agreement with existing laboratory reference instruments with maximum SMD measurement error down to 7.04%. Furthermore, the simplicity, feasibility and low-cost features of this new method present great potential for distributed PM monitoring, to support sophisticated human exposure hazard assessment.

Indexed as

Air PollutantsParticulate MatterAerosolsEnvironmental MonitoringHumansParticle SizeAerosolsAir PollutantsParticulate Matterlight scatteringmass concentrationparticulate matter monitoringSauter mean diameter

Identifiers

PMID35884239
PMCPMC9312855

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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.