Abstract

Alnus glutinosa is an important woody plant in Lithuanian forest ecosystems. Knowledge of fluorescence properties of black alder pollen is necessary for scientific and practical purposes. By the results of the study, we aimed to evaluate possibilities of identifying Alnus glutinosa pollen fluorescence properties by modeling ozone effect and applying two different fluorescence-based devices. To implement the experiments, black alder pollen was collected in a typical habitat during the annual flowering period in 2018–2019. There were three groups of experimental variants, which differed in the duration of exposure to ozone, conditions of pollen storage before the start of the experiment, and the exposure time. Data for pollen fluorescence analysis were collected using two methods. The microscopy method was used in order to evaluate the possibility of employing image analysis systems for investigation of pollen fluorescence. The second data collection method is related to an automatic device identifying pollen in real time, which uses the fluorescence method in the pollen recognition process. Data were assessed employing image analysis and principal component analysis (PCA) methods. Digital images of ozone-exposed pollen observed under the fluorescence microscope showed the change of the dominant green colour toward the blue spectrum. Meanwhile, the automatic detector detects more pollen whose fluorescence is at the blue light spectrum. It must be noted that assessing pollen fluorescence several months after exposure to ozone, no effect of ozone on fluorescence remains.

Highlights

  • Pollen, like any airborne particle of biological origin, can be identified using fluorescence examination methods

  • By the results of our study, we aimed to evaluate the possibilities of identifying Alnus glutinosa pollen fluorescence properties by modeling ozone effect and applying two different fluorescence-based devices

  • Digitized images of Alnus glutinosa pollen fluorescence were analysed in order to evaluate whether high concentrations of ozone and duration of exposure could substantially alter fluorescence peculiarities

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Summary

Introduction

Like any airborne particle of biological origin, can be identified using fluorescence examination methods. Application of these methods in the bioparticle identification process promotes designing and development of laser fluorescence–based devices for recognising airborne pollen in real time [1,2,3]. Identification of fossil pollen and spores in geological samples and the possibility of dating contaminated sediments became a strong impetus for gathering knowledge of pollen fluorescence [4,5]. Studies on pollen in geological samples confirm that the exine of a pollen grain is naturally autofluorescent and the strength of the fluorescence varies with exine thickness [6]. Fluorescence microscopy turned into a tool for Forests 2019, 10, 959; doi:10.3390/f10110959 www.mdpi.com/journal/forests

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