<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Complex mixtures of substances are in the atmosphere and they can cause diseases in humans and biological communities after acute or chronic exposition. This paper focuses on the physical measurement of particulate matter, a proxy for air pollution, and a biological method for mutation assessment due to plants’ exposure to air pollution. The objective of this research was to characterize the air pollution seasonality in municipalities in southern Brazil, and also to understand the relation between air pollution and the biological response of the <italic>Tradescantia</italic> sp. clone 4430. The optical sensor SDS011 was used for measurements of particulate matter (PM) and the Trad-SHM bioassay was chosen to quantify the mutagenic alterations that occurred in stamen hairs during the study period, with PM data being measured every 5 seconds and the flowers being harvested approximately every two weeks for laboratory analysis. The Pearson test was applied to verify the correlation between PM and mutations in stamen hair as a result of which it was observed that there is a positive correlation between these data, with the highest value found being r = 0.61. Also, the period with the highest occurrence of pink cells was between autumn and spring, the same period in which an unusual increase in PM concentrations was also observed, a period that corresponds to a less favorable dispersion of pollutants in the atmosphere. The use of <italic>Tradescantia</italic> sp. clone 4430 showed sensitivity to the environments in which it was exposed. Biomonitoring is an important tool for understanding the effects of pollutants on the ecosystem.</p>
</abstract>

Complex mixtures of substances are in the atmosphere and they can cause diseases in humans and biological communities after acute or chronic exposition. This paper focuses on the physical measurement of particulate matter, a proxy for air pollution, and a biological method for mutation assessment due to plants’ exposure to air pollution. The objective of this research was to characterize the air pollution seasonality in municipalities in southern Brazil, and also to understand the relation between air pollution and the biological response of the Tradescantia sp. clone 4430. The optical sensor SDS011 was used for measurements of particulate matter (PM) and the Trad-SHM bioassay was chosen to quantify the mutagenic alterations that occurred in stamen hairs during the study period, with PM data being measured every 5 seconds and the flowers being harvested approximately every two weeks for laboratory analysis. The Pearson test was applied to verify the correlation between PM and mutations in stamen hair as a result of which it was observed that there is a positive correlation between these data, with the highest value found being r = 0.61. Also, the period with the highest occurrence of pink cells was between autumn and spring, the same period in which an unusual increase in PM concentrations was also observed, a period that corresponds to a less favorable dispersion of pollutants in the atmosphere. The use of Tradescantia sp. clone 4430 showed sensitivity to the environments in which it was exposed. Biomonitoring is an important tool for understanding the effects of pollutants on the ecosystem.

Air pollution monitoring with <italic>Tradescantia</italic> hybrid and optical sensors in Curitiba and Araucária, Brazil

Forestry Studies

This work is licensed under the Creative Commons Attribution 4.0 International License.

Air pollution monitoring with  hybrid and optical sensors in Curitiba and Araucária, Brazil

Complex mixtures of substances are in the atmosphere and they can cause diseases in humans and biological communities after acute or chronic exposition. This...

Air pollution monitoring with Tradescantia hybrid and optical sensors in Curitiba and Araucária, Brazil

Article Category: Research paper

Online veröffentlicht: 09. Nov. 2023

Seitenbereich: 57 - 71

Eingereicht: 31. März 2023

Akzeptiert: 30. Mai 2023

DOI: https://doi.org/10.2478/fsmu-2023-0005

© 2023 Leatrice Talita Rodrigues et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.