Literature DB >> 33161519

The influence of preparation methodology on the concentrations of heavy metals in Pleurozium schreberi moss samples prior to use in active biomonitoring studies.

Paweł Świsłowski1, Grzegorz Kosior2, Małgorzata Rajfur2.   

Abstract

Active biomonitoring is used to assess environmental pollution of elements such as heavy metals by indicator species such as mosses. They are used, among others, in urbanized areas where no indicator species are found. In such study areas, mosses collected from sites considered to be ecologically clean shall be exposed. In this context, it is very important to prepare the mosses properly before the exposure, so that the information received about the condition of the environment is reliable. In 2018, studies were conducted in the forested areas of southern Poland-in Opolskie Province. Pleurozium schreberi mosses were used in these studies. Atomic absorption spectrometry with flame atomiser (F-AAS) was used to determine the concentrations of Mn, Fe, Ni, Cu, Zn and Pb present. The aim was to study the influence of preparation methodology on Pleurozium schreberi moss samples prior to use in active biomonitoring studies. Four different methodologies were tested across four different sample locations (with varying levels of pollution). The results of the research were analysed and the coefficient of variation (CV) was determined. The value of the CV is influenced, among other things, by the location of the particular sample and the level of pollution by, for example heavy metals, in the moss. The research conducted proves that of the four methods used to prepare mosses for later exposure in active biomonitoring, the best method is averaging with simultaneous conditioning of mosses in demineralised water. This treatment causes the CV coefficient to fall below 10% for most of the metals determined in the moss samples. It has also been shown that maintaining moss collection methodology in accordance with ICP Vegetation standards (open/wooded area-tree canopy) also has a significant impact on the result obtained. Statistical analysis confirmed (Wilcoxon test) that the method of processing the mosses significantly influenced the results obtained. Thanks to the appropriate preparation of the mosses before exposition, they can be used in active biomonitoring of, for example, urban areas.

Entities:  

Keywords:  Air pollution; Biomonitoring; Coefficient of variation; Heavy metals; Mosses; Research methodology

Mesh:

Substances:

Year:  2020        PMID: 33161519      PMCID: PMC7884374          DOI: 10.1007/s11356-020-11484-7

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  31 in total

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Journal:  Sci Total Environ       Date:  2012-06-21       Impact factor: 7.963

2.  Airborne radionuclides in mosses collected at different latitudes.

Authors:  M Krmar; K Wattanavatee; D Radnović; J Slivka; T Bhongsuwan; M V Frontasyeva; S S Pavlov
Journal:  J Environ Radioact       Date:  2011-08-30       Impact factor: 2.674

3.  Quantification of the overall measurement uncertainty associated with the passive moss biomonitoring technique: Sample collection and processing.

Authors:  J R Aboal; M T Boquete; A Carballeira; A Casanova; S Debén; J A Fernández
Journal:  Environ Pollut       Date:  2017-02-15       Impact factor: 8.071

4.  Perspective of mitigating atmospheric heavy metal pollution: using mosses as biomonitoring and indicator organism.

Authors:  Biswajita Mahapatra; Nabin Kumar Dhal; Aditya Kishore Dash; Bibhu Prasad Panda; Kishore Chandra Sekhar Panigrahi; Abanti Pradhan
Journal:  Environ Sci Pollut Res Int       Date:  2019-08-28       Impact factor: 4.223

5.  Characterization of the Etna volcanic emissions through an active biomonitoring technique (moss-bags): part 1--major and trace element composition.

Authors:  S Calabrese; W D'Alessandro; S Bellomo; L Brusca; R S Martin; F Saiano; F Parello
Journal:  Chemosphere       Date:  2014-09-26       Impact factor: 7.086

6.  Seasonal comparison of moss bag technique against vertical snow samples for monitoring atmospheric pollution.

Authors:  Hanna Salo; Anna-Kaisa Berisha; Joni Mäkinen
Journal:  J Environ Sci (China)       Date:  2015-07-21       Impact factor: 5.565

7.  Comparison of four bioindication methods for assessing the degree of environmental lead and cadmium pollution.

Authors:  Wojciech Dmuchowski; Dariusz Gozdowski; Aneta Helena Baczewska
Journal:  J Hazard Mater       Date:  2011-09-22       Impact factor: 10.588

8.  Active moss biomonitoring of trace elements with Sphagnum girgensohnii moss bags in relation to atmospheric bulk deposition in Belgrade, Serbia.

Authors:  M Anicić; M Tasić; M V Frontasyeva; M Tomasević; S Rajsić; Z Mijić; A Popović
Journal:  Environ Pollut       Date:  2008-09-23       Impact factor: 8.071

9.  Airborne pollutants along a roadside: assessment using snow analyses and moss bags.

Authors:  E L Viskari; R Rekilä; S Roy; O Lehto; J Ruuskanen; L Kärenlampi
Journal:  Environ Pollut       Date:  1997       Impact factor: 8.071

10.  Mosses Are Better than Leaves of Vascular Plants in Monitoring Atmospheric Heavy Metal Pollution in Urban Areas.

Authors:  Yanbin Jiang; Miao Fan; Ronggui Hu; Jinsong Zhao; Yupeng Wu
Journal:  Int J Environ Res Public Health       Date:  2018-05-29       Impact factor: 3.390

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  3 in total

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Authors:  Paweł Świsłowski; Bogusław Śmiechowicz; Małgorzata Rajfur
Journal:  J Environ Health Sci Eng       Date:  2022-02-28

2.  Is Active Moss Biomonitoring Comparable to Air Filter Standard Sampling?

Authors:  Paweł Świsłowski; Arkadiusz Nowak; Stanisław Wacławek; Zbigniew Ziembik; Małgorzata Rajfur
Journal:  Int J Environ Res Public Health       Date:  2022-04-13       Impact factor: 4.614

3.  The Application of Active Biomonitoring with the Use of Mosses to Identify Polycyclic Aromatic Hydrocarbons in an Atmospheric Aerosol.

Authors:  Paweł Świsłowski; Pavel Hrabák; Stanisław Wacławek; Klára Liskova; Vojtěch Antos; Małgorzata Rajfur; Maria Ząbkowska-Wacławek
Journal:  Molecules       Date:  2021-11-30       Impact factor: 4.411

  3 in total

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