Evidence map›Paper›PMID 39337728›Full record

ArticleMicromachines2024

Development of a Novel Electrostatic-Based Bioaerosol Sampler.

Zirui Pang, Lulu Shi, Wei Liu, Wenru Liu, Xin Tian, Mingyu Wang, Jifang Tao

Abstract read
In one paragraph

Article in Micromachines, 2024. 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

7 authors.

Zirui PangKey Laboratory of Laser and Infrared System Ministry of Education, Shandong University, Qingdao 266237, China.
Lulu ShiState Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China.
Wei LiuQingdao Institute of Measurement Technology, Qingdao 266000, China.
Wenru LiuQingdao Institute of Measurement Technology, Qingdao 266000, China.
Xin TianSchool of Physics and Electronic Information, Weifang University, Weifang 261061, China.
Mingyu WangState Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China.ORCID 0000-0003-1215-9556
Jifang TaoKey Laboratory of Laser and Infrared System Ministry of Education, Shandong University, Qingdao 266237, China.

Funding

Key R&D Program of Shandong Province 2023CXGC010105
6 · The paper itself

Abstract

On-site bioaerosol monitoring is essential for estimating microbial biomass and mitigating the risk of infection induced by aerosol transmission. This study introduces a novel electrostatic bioaerosol sampler, which is fabricated by the use of 3D printing, for rapid bioaerosol collection. Aerosol particles were charged and enriched in the sampler. Relationships between particle sizes and collection efficiencies under varying charging voltages were established using a charging model. The design of the sampler was optimized using commercial software, incorporating electrostatic field analysis, computational fluid dynamics (CFD), and particle trajectory simulations. To validate the sampler's collection efficiency, polystyrene (PS) spheres in an aerosol dispenser were atomized into an aerosol. The sampler collection efficiency exceeded 90% for particles larger than 1.2 μm under an applied voltage of 4.7 kV and an airflow rate of 2 L/min. The enrichment capacity was greater than 153,000 for particles larger than 1.2 μm under an applied voltage of 4.7 kV and an airflow rate of 8 L/min. With the merits of low cost, miniaturization, and high collection efficiency, the sampler can be used to collect samples on-site and in remote areas to verify the pathogens and reduce the risk of infection through aerosol transmission.

Indexed as

bioaerosolcorona chargeelectrostatic collectionenrichment

Identifiers

PMID39337728
PMCPMC11434052

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.