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Temporal variation in the spectrum and concentration of airborne microalgae and cyanobacteria in the urban environments of inland temperate climate
Despite their non-negligible representation among the airborne bioparticles and known allergenicity, autotrophic microorganisms—microalgae and cyanobacteria—are not commonly reported or studied by aerobiological monitoring stations due to the challenging identification in their desiccated and fragme...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495494/ https://www.ncbi.nlm.nih.gov/pubmed/37594706 http://dx.doi.org/10.1007/s11356-023-29341-8 |
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author | Žilka, Matúš Tropeková, Mária Zahradníková, Eva Kováčik, Ľubomír Ščevková, Jana |
author_facet | Žilka, Matúš Tropeková, Mária Zahradníková, Eva Kováčik, Ľubomír Ščevková, Jana |
author_sort | Žilka, Matúš |
collection | PubMed |
description | Despite their non-negligible representation among the airborne bioparticles and known allergenicity, autotrophic microorganisms—microalgae and cyanobacteria—are not commonly reported or studied by aerobiological monitoring stations due to the challenging identification in their desiccated and fragmented state. Using a gravimetric method with open plates at the same time as Hirst-type volumetric bioparticle sampler, we were able to cultivate the autotrophic microorganisms and use it as a reference for correct retrospective identification of the microalgae and cyanobacteria captured by the volumetric trap. Only in this way, reliable data on their presence in the air of a given area can be obtained and analysed with regard to their temporal variation and environmental factors. We gained these data for an inland temperate region over 3 years (2018, 2020–2021), identifying the microalgal genera Bracteacoccus, Desmococcus, Geminella, Chlorella, Klebsormidium, and Stichococcus (Chlorophyta) and cyanobacterium Nostoc in the volumetric trap samples and three more in the cultivated samples. The mean annual concentration recorded over 3 years was 19,182 cells*day/m(3), with the greatest contribution from the genus Bracteacoccus (57%). Unlike some other bioparticles like pollen grains, autotrophic microorganisms were present in the samples over the course of the whole year, with greatest abundance in February and April. The peak daily concentration reached the highest value (1011 cells/m(3)) in 2021, while the mean daily concentration during the three analysed years was 56 cells/m(3). The analysis of intra-diurnal patterns showed their increased presence in daylight hours, with a peak between 2 and 4 p.m. for most genera, which is especially important due to their potential to trigger allergy symptoms. From the environmental factors, wind speed had a most significant positive association with their concentration, while relative air humidity had a negative influence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-023-29341-8. |
format | Online Article Text |
id | pubmed-10495494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-104954942023-09-13 Temporal variation in the spectrum and concentration of airborne microalgae and cyanobacteria in the urban environments of inland temperate climate Žilka, Matúš Tropeková, Mária Zahradníková, Eva Kováčik, Ľubomír Ščevková, Jana Environ Sci Pollut Res Int Research Article Despite their non-negligible representation among the airborne bioparticles and known allergenicity, autotrophic microorganisms—microalgae and cyanobacteria—are not commonly reported or studied by aerobiological monitoring stations due to the challenging identification in their desiccated and fragmented state. Using a gravimetric method with open plates at the same time as Hirst-type volumetric bioparticle sampler, we were able to cultivate the autotrophic microorganisms and use it as a reference for correct retrospective identification of the microalgae and cyanobacteria captured by the volumetric trap. Only in this way, reliable data on their presence in the air of a given area can be obtained and analysed with regard to their temporal variation and environmental factors. We gained these data for an inland temperate region over 3 years (2018, 2020–2021), identifying the microalgal genera Bracteacoccus, Desmococcus, Geminella, Chlorella, Klebsormidium, and Stichococcus (Chlorophyta) and cyanobacterium Nostoc in the volumetric trap samples and three more in the cultivated samples. The mean annual concentration recorded over 3 years was 19,182 cells*day/m(3), with the greatest contribution from the genus Bracteacoccus (57%). Unlike some other bioparticles like pollen grains, autotrophic microorganisms were present in the samples over the course of the whole year, with greatest abundance in February and April. The peak daily concentration reached the highest value (1011 cells/m(3)) in 2021, while the mean daily concentration during the three analysed years was 56 cells/m(3). The analysis of intra-diurnal patterns showed their increased presence in daylight hours, with a peak between 2 and 4 p.m. for most genera, which is especially important due to their potential to trigger allergy symptoms. From the environmental factors, wind speed had a most significant positive association with their concentration, while relative air humidity had a negative influence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-023-29341-8. Springer Berlin Heidelberg 2023-08-18 2023 /pmc/articles/PMC10495494/ /pubmed/37594706 http://dx.doi.org/10.1007/s11356-023-29341-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Žilka, Matúš Tropeková, Mária Zahradníková, Eva Kováčik, Ľubomír Ščevková, Jana Temporal variation in the spectrum and concentration of airborne microalgae and cyanobacteria in the urban environments of inland temperate climate |
title | Temporal variation in the spectrum and concentration of airborne microalgae and cyanobacteria in the urban environments of inland temperate climate |
title_full | Temporal variation in the spectrum and concentration of airborne microalgae and cyanobacteria in the urban environments of inland temperate climate |
title_fullStr | Temporal variation in the spectrum and concentration of airborne microalgae and cyanobacteria in the urban environments of inland temperate climate |
title_full_unstemmed | Temporal variation in the spectrum and concentration of airborne microalgae and cyanobacteria in the urban environments of inland temperate climate |
title_short | Temporal variation in the spectrum and concentration of airborne microalgae and cyanobacteria in the urban environments of inland temperate climate |
title_sort | temporal variation in the spectrum and concentration of airborne microalgae and cyanobacteria in the urban environments of inland temperate climate |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495494/ https://www.ncbi.nlm.nih.gov/pubmed/37594706 http://dx.doi.org/10.1007/s11356-023-29341-8 |
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