Literature DB >> 15381328

Radiocesium accumulation in mosses from highlands of Serbia and Montenegro: chemical and physiological aspects.

S Dragović1, O Nedić, S Stanković, G Bacić.   

Abstract

The aim of this work was (i) to determine the activity levels of 137Cs in mosses from highland ecosystems of Serbia and Montenegro, (ii) to find out if radiocesium is associated with essential biomacromolecules, and (iii) to investigate 137Cs distribution among intracellular compartments. It was found that biomolecules of mosses do not bind significant amounts of radiocesium (2.3-3.3% of the absorbed 137Cs), a behavior that was independent of the moss species. Cellular fractionation of mosses showed that membranes are the primary 137Cs-binding sites at the cellular level. They contained 26.1-43.1% of the initial radiocesium activity. It seems that 137Cs-binding molecules in different mosses are of similar chemical nature, and their distribution between various cellular compartments is not species specific.

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Year:  2004        PMID: 15381328     DOI: 10.1016/j.jenvrad.2004.04.007

Source DB:  PubMed          Journal:  J Environ Radioact        ISSN: 0265-931X            Impact factor:   2.674


  5 in total

1.  Transfer of radionuclides to ants, mosses and lichens in semi-natural ecosystems.

Authors:  S Dragović; Lj Janković Mandić
Journal:  Radiat Environ Biophys       Date:  2010-08-13       Impact factor: 1.925

2.  Analysis of mosses and topsoils for detecting sources of heavy metal pollution: multivariate and enrichment factor analysis.

Authors:  S Dragović; N Mihailović
Journal:  Environ Monit Assess       Date:  2008-10-11       Impact factor: 2.513

3.  Transfer of natural and anthropogenic radionuclides to ants, bryophytes and lichen in a semi-natural ecosystem.

Authors:  Snezana Dragović; Brenda J Howard; Jane A Caborn; Catherine L Barnett; Nevena Mihailović
Journal:  Environ Monit Assess       Date:  2009-06-20       Impact factor: 2.513

4.  Assessment of the impact of petroleum and petrochemical industries to the surrounding areas in Malaysia using mosses as bioindicator supported by multivariate analysis.

Authors:  Mohd Zahari Bin Abdullah; Ahmad Bin Saat; Zaini Bin Hamzah
Journal:  Environ Monit Assess       Date:  2011-08-06       Impact factor: 2.513

5.  Implementation of neural networks for classification of moss and lichen samples on the basis of gamma-ray spectrometric analysis.

Authors:  Snezana Dragović; Antonije Onjia; Ranko Dragović; Goran Bacić
Journal:  Environ Monit Assess       Date:  2006-10-21       Impact factor: 3.307

  5 in total

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