Evidence map›Paper›PMID 36498208›Full record

ArticleInternational journal of environmental research and public health2022

Evaluation of an Air Cleaning Device Equipped with Filtration and UV: Comparison of Removal Efficiency on Particulate Matter and Viable Airborne Bacteria in the Inlet and Treated Air.

Peiyang Li, Jacek A Koziel, Nubia Macedo, Jeffrey J Zimmerman, Danielle Wrzesinski, Erin Sobotka, Mateo Balderas, William B Walz, Reid Vincent Paris, Myeongseong Lee and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
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

14 authors at 1 institution in 2 countries.

Peiyang LiDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0001-9382-9261
Jacek A KozielDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-2387-0354
Nubia MacedoDepartment of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA 50011, USA.
Jeffrey J ZimmermanDepartment of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-8107-2422
Danielle WrzesinskiDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA.
Erin SobotkaDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA.
Mateo BalderasDepartment of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA.
William B WalzDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA.
Reid Vincent ParisDepartment of Statistics, Iowa State University, Ames, IA 50011, USA.
Myeongseong LeeDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-6111-8059
Dongjie LiuDepartment of Biomedical Sciences, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-7534-6108
Bauyrzhan YedilbayevDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-3072-593X
Brett C RamirezDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-3205-9723
William S JenksDepartment of Chemistry, Iowa State University, Ames, IA 50011, USA.
Iowa State University · US

Funding

Center for Industrial Research and Service (CIRAS) of Iowa State University, Ames, Iowa, USA A-2021-236Iowa Agriculture and Home Economics Experiment Station, Ames, Iowa, USA IOW05556Kryton Engineered Metals Inc., Cedar Falls, Iowa, USA A-2021-236
6 · The paper itself

Abstract

Since the COVID-19 pandemic, improving indoor air quality (IAQ) has become vital for the public as COVID-19 and other infectious diseases can transmit via inhalable aerosols. Air cleaning devices with filtration and targeted pollutant treatment capabilities can help improve IAQ. However, only a few filtration/UV devices have been formally tested for their effectiveness, and little data is publicly available and UV doses comparable. In this research, we upgraded a particulate matter (PM) air filtration prototype by adding UV-C (germicidal) light. We developed realistic UV dose metrics for fast-moving air and selected performance scenarios to quantify the mitigation effect on viable airborne bacteria and PM. The targeted PM included total suspended particulate (TSP) and a coarse-to-fine range sized at PM

Indexed as

Air PollutantsAir Pollution, IndoorCOVID-19BacteriaEnvironmental MonitoringHumansPandemicsParticle SizeParticulate MatterRespiratory Aerosols and DropletsAir PollutantsParticulate Matterair pollution controlbiosecuritydisease controlindoor air qualityoccupational healthultraviolet lightUV254UV disinfectionUVGI

Identifiers

PMID36498208
PMCPMC9735963
OpenAlexW4311106438

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.