Characterization of the atmospheric microbiome in a semi-rural area of Central Europe using flow cytometry.

Ernest Abboud, Pierre Rossi, Benoit Crouzy, Nikolaos Evangeliou, Athanasios Nenes, Kalliopi Violaki

Abstract read

In one paragraph

Article in ISME communications, 2026. 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.

Ernest AbboudLaboratory of Atmospheric Processes and their Impacts, School of Architecture, Civil & Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-9334-7000

Pierre RossiCentral Environmental Laboratory, School of Architecture, Civil & Environmental Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-1626-7853

Benoit CrouzyFederal Office of Meteorology and Climatology MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.ORCID https://orcid.org/0000-0002-9911-415X

Nikolaos EvangeliouDepartment for Atmospheric & Climate Research (ATMOS), Stiftelsen NILU (Former Norwegian Institute for Air Research), NO-2027 Kjeller, Norway.

Athanasios NenesLaboratory of Atmospheric Processes and their Impacts, School of Architecture, Civil & Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-3873-9970

Kalliopi ViolakiLaboratory of Atmospheric Processes and their Impacts, School of Architecture, Civil & Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-4612-3973

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing bioaerosols is important for understanding their potential impacts on the environment and public health. In this study, we developed a novel flow cytometry-based approach to determine the low nucleic acid (LNA), high nucleic acid (HNA), dead, and intact bioaerosol populations in samples collected with a wet cyclone at Payerne, Switzerland, during spring and summer 2024. We found that the average bioaerosol number concentration reached (2.47 ± 3.35)×10

Indexed as

atmospheric microbiomebacteriabioaerosolsflow cytometryfungiPayernepollen

Identifiers

PMID42694997

DOI10.1093/ismeco/ycag167

PMCPMC13540729

What Socratic holds

Textmetadata

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 Socratic graph.