Atmospheric Biodetection Part I: Study of Airborne Bacterial Concentrations from January 2018 to May 2020 at Saclay, France
Roland Sarda-Estève,
Dominique Baisnée,
Benjamin Guinot,
Gediminas Mainelis,
John Sodeau,
David O’Connor,
Jean Pierre Besancenot,
Michel Thibaudon,
Sara Monteiro,
Jean-Eudes Petit and
Valérie Gros
Additional contact information
Roland Sarda-Estève: Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, Unité mixte de recherche CEA-CNRS-UVSQ, 91190 Saint-Aubin, France
Dominique Baisnée: Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, Unité mixte de recherche CEA-CNRS-UVSQ, 91190 Saint-Aubin, France
Benjamin Guinot: Laboratoire d’Aérologie, Université Toulouse III, CNRS, UPS, 31400 Toulouse, France
Gediminas Mainelis: Department of Environmental Sciences, School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901-8525, USA
John Sodeau: Department of Chemistry and Environmental Research Institute, University College Cork, T12 YN60 Cork, Ireland
David O’Connor: School of Chemical and Pharmaceutical Sciences, Technological University of Dublin, D06F793 Dublin 6, Ireland
Jean Pierre Besancenot: Réseau National de Surveillance Aérobiologique, 69690 Brussieu, France
Michel Thibaudon: Réseau National de Surveillance Aérobiologique, 69690 Brussieu, France
Sara Monteiro: Themo Fisher Scientific, 18 avenue de Quebec, 91941 Villebon Courtaboeuf, France
Jean-Eudes Petit: Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, Unité mixte de recherche CEA-CNRS-UVSQ, 91190 Saint-Aubin, France
Valérie Gros: Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, Unité mixte de recherche CEA-CNRS-UVSQ, 91190 Saint-Aubin, France
IJERPH, 2020, vol. 17, issue 17, 1-25
Abstract:
Background: The monitoring of bioaerosol concentrations in the air is a relevant endeavor due to potential health risks associated with exposure to such particles and in the understanding of their role in climate. In this context, the atmospheric concentrations of bacteria were measured from January 2018 to May 2020 at Saclay, France. The aim of the study was to understand the seasonality, the daily variability, and to identify the geographical origin of airborne bacteria. Methods: 880 samples were collected daily on polycarbonate filters, extracted with purified water, and analyzed using the cultivable method and flow cytometry. A source receptor model was used to identify the origin of bacteria. Results: A tri-modal seasonality was identified with the highest concentrations early in spring and over the summer season with the lowest during the winter season. Extreme changes occurred daily due to rapid changes in meteorological conditions and shifts from clean air masses to polluted ones. Conclusion : Our work points toward bacterial concentrations originating from specific seasonal-geographical ecosystems. During pollution events, bacteria appear to rise from dense urban areas or are transported long distances from their sources. This key finding should drive future actions to better control the dispersion of potential pathogens in the air, like persistent microorganisms originating from contaminated areas.
Keywords: bacteria; cultivable method; flow cytometry; source-receptor model; geographical origin (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1660-4601/17/17/6292/pdf (application/pdf)
https://www.mdpi.com/1660-4601/17/17/6292/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:17:p:6292-:d:405747
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().