Evidence map›Paper›PMID 36514783›Full record

ReviewTrends in analytical chemistry : TRAC2023

On-site bioaerosol sampling and detection in microfluidic platforms.

Inae Lee, Eunyoung Jeon, Joonseok Lee

Abstract readReview
In one paragraph

Review in Trends in analytical chemistry : TRAC, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Toward non-enzymatic glucose sensing based on organic electronics: organic field-effect transistors with multifunctionalized extended-gate electrodes.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
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  9. Article
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  12. Concentrating viable airborne pathogens using a virtual impactor with a compact water-based condensation air sampler.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2024
    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

3 authors.

Inae LeeDepartment of Chemistry, Hanyang University, Seoul, 04763, South Korea.
Eunyoung JeonDepartment of Chemistry, Hanyang University, Seoul, 04763, South Korea.
Joonseok LeeDepartment of Chemistry, Hanyang University, Seoul, 04763, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the recent coronavirus disease (COVID-19) pandemic and several severe illnesses such as Middle East respiratory syndrome coronavirus (MERS-CoV), Influenza A virus (IAV) flu, and severe acute respiratory syndrome (SARS) have been found to be airborne, the importance of monitoring bioaerosols for the control and prevention of airborne epidemic diseases outbreaks is increasing. However, current aerosol collection and detection technologies may be limited to on-field use for real-time monitoring because of the relatively low concentrations of targeted bioaerosols in air samples. Microfluidic devices have been used as lab-on-a-chip platforms and exhibit outstanding capabilities in airborne particulate collection, sample processing, and target molecule analysis, thereby highlighting their potential for on-site bioaerosol monitoring. This review discusses the measurement of airborne microorganisms from air samples, including sources and transmission of bioaerosols, sampling strategies, and analytical methodologies. Recent advancements in microfluidic platforms have focused on bioaerosol sample preparation strategies, such as sorting, concentrating, and extracting, as well as rapid and field-deployable detection methods for analytes on microfluidic chips. Furthermore, we discuss an integrated platform for on-site bioaerosol analyses. We believe that our review significantly contributes to the literature as it assists in bridging the knowledge gaps in bioaerosol monitoring using microfluidic platforms.

Indexed as

Airborne pathogensBioaerosols monitoringBiosensorCollectionConcentrationIntegrationLab-on-a-chipMicrofluidics

Identifiers

PMID36514783
PMCPMC9731818

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.