Show simple item record

dc.creatorDeljanin, Isidora
dc.creatorAntanasijević, Davor
dc.creatorBjelajac, Anđelika
dc.creatorAničić-Urošević, Mira
dc.creatorNikolić, Miroslav
dc.creatorPerić-Grujić, Aleksandra
dc.creatorRistić, Mirjana
dc.date.accessioned2021-03-10T13:10:45Z
dc.date.available2021-03-10T13:10:45Z
dc.date.issued2016
dc.identifier.issn0048-9697
dc.identifier.urihttp://TechnoRep.tmf.bg.ac.rs/handle/123456789/3385
dc.description.abstractThe concentrations of 15 elements were measured in the leaf samples of Aesculus hippocastanum, Tilia spp., Betula pendula and Acer platanoides collected in May and September of 2014 from four different locations in Belgrade, Serbia. The objective was to assess the chemical characterization of leaf surface and in-wax fractions, as well as the leaf tissue element content, by analyzing untreated, washed with water and washed with chloroform leaf samples, respectively. The combined approach of self-organizing networks (SON) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) aided by Geometrical Analysis for Interactive Aid (GAIA) was used in the interpretation of multiple element loads on/in the tree leaves. The morphological characteristics of the leaf surfaces and the elemental composition of particulate matter (PM) deposited on tree leaves were studied by using scanning electron microscopy (SEM) with energy dispersive spectroscopy (EDS) detector. The results showed that the amounts of retained and accumulated element concentrations depend on several parameters, such as chemical properties of the element and morphological properties of the leaves. Among the studied species, Tilia spp. was found to be the most effective in the accumulation of elements in leaf tissue (70% of the total element concentration), while A. hippocastanum had the lowest accumulation (54%). After water and chloroform washing, the highest percentages of removal were observed for Al, V, Cr, Cu, Zn, As, Cd and Sb ( gt 40%). The PROMETHEE/SONranking/classifying results were in accordance with the results obtained from the GAIA clustering techniques. The combination of the techniques enabled extraction of additional information from datasets. Therefore, the use of both the ranking and clustering methods could be a useful tool to be applied in biomonitoring studies of trace elements.en
dc.publisherElsevier, Amsterdam
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172007/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/43007/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173028/RS//
dc.rightsrestrictedAccess
dc.sourceScience of the Total Environment
dc.subjectLeaf biomonitoringen
dc.subjectClustering analysisen
dc.subjectPreference rankingen
dc.subjectSONen
dc.subjectPROMETHEE-GAIAen
dc.subjectSEM-EDSen
dc.titleChemometrics in biomonitoring: Distribution and correlation of trace elements in tree leavesen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage371
dc.citation.other545: 361-371
dc.citation.rankaM21
dc.citation.spage361
dc.citation.volume545
dc.identifier.doi10.1016/j.scitotenv.2015.12.018
dc.identifier.pmid26748000
dc.identifier.rcubconv_4902
dc.identifier.scopus2-s2.0-84952700931
dc.identifier.wos000369493000037
dc.type.versionpublishedVersion


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record