TY  - JOUR
AU  - Anicic-Urosević, Mira
AU  - Jovanović, Gordana
AU  - Stević, Nenad
AU  - Deljanin, Isidora
AU  - Nikolic, Miroslav
AU  - Tomasević, Milica
AU  - Samson, Roeland
PY  - 2019
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/1214
AB  - Magnetic biomonitoring using tree leaves has been proven as a proxy for airborne particle matter (PM) pollution. Since the leaf entrapment of PM is species-specific, in this study, four tree species common in urban areas of Europe and wider (Aesculus hippocastanum, Acer platanoides, Betula pendula and Tilia cordata) were investigated to evaluate which biomonitor enables consistent 'signal' to particle and particle-bound toxic elements. The tree leaves were sampled in the central urban and suburban parks in Belgrade (Serbia) in May and September from 2011 until 2014. Magnetic PM fractions in the samples were quantified by saturation isothermal remanent magnetization (SIRM) while the concentrations of Al, Cr, Cu, Fe, Ni, Pb and Zn were determined by inductively coupled plasma optical emission spectrometry (ICP-OES). Magnetic and elemental measurements were considered in relation to regulatory PM10 data. Median leaf SIRM values of T. cordata, A. hippocastanum and A. platanoides (174, 140 and 123 x 10(-5) x A m(2) kg(-1), respectively) implied the considerable magnetic enhancement contrary to B. pendula (68 x 10(-5) x A m(2) kg(-1)). However, B. pendula leaves showed the significant correlation between SIRM and PM10 values (r = 0.75) and SIRM and element concentrations and significant spatio-temporal differences in SIRM/element content between the studied parks/years. These results recommend B. pendula as a valuable biomonitor of PM and the associated elements. Nevertheless, both the results (high SIRM values, the significant correlation between SIRM and PM10-r = 0.71) and literature findings (abundance, adaptability, PM removal efficiency) favour A. platanoides over B. pendula in magnetic particle biomonitoring.
PB  - Springer, Dordrecht
T2  - Air Quality Atmosphere and Health
T1  - Leaves of common urban tree species (Aesculus hippocastanum, Acer platanoides, Betula pendula and Tilia cordata) as a measure of particle and particle-bound pollution: a 4-year study
EP  - 1090
IS  - 9
SP  - 1081
VL  - 12
DO  - 10.1007/s11869-019-00724-6
ER  - 

@article{
author = "Anicic-Urosević, Mira and Jovanović, Gordana and Stević, Nenad and Deljanin, Isidora and Nikolic, Miroslav and Tomasević, Milica and Samson, Roeland",
year = "2019",
abstract = "Magnetic biomonitoring using tree leaves has been proven as a proxy for airborne particle matter (PM) pollution. Since the leaf entrapment of PM is species-specific, in this study, four tree species common in urban areas of Europe and wider (Aesculus hippocastanum, Acer platanoides, Betula pendula and Tilia cordata) were investigated to evaluate which biomonitor enables consistent 'signal' to particle and particle-bound toxic elements. The tree leaves were sampled in the central urban and suburban parks in Belgrade (Serbia) in May and September from 2011 until 2014. Magnetic PM fractions in the samples were quantified by saturation isothermal remanent magnetization (SIRM) while the concentrations of Al, Cr, Cu, Fe, Ni, Pb and Zn were determined by inductively coupled plasma optical emission spectrometry (ICP-OES). Magnetic and elemental measurements were considered in relation to regulatory PM10 data. Median leaf SIRM values of T. cordata, A. hippocastanum and A. platanoides (174, 140 and 123 x 10(-5) x A m(2) kg(-1), respectively) implied the considerable magnetic enhancement contrary to B. pendula (68 x 10(-5) x A m(2) kg(-1)). However, B. pendula leaves showed the significant correlation between SIRM and PM10 values (r = 0.75) and SIRM and element concentrations and significant spatio-temporal differences in SIRM/element content between the studied parks/years. These results recommend B. pendula as a valuable biomonitor of PM and the associated elements. Nevertheless, both the results (high SIRM values, the significant correlation between SIRM and PM10-r = 0.71) and literature findings (abundance, adaptability, PM removal efficiency) favour A. platanoides over B. pendula in magnetic particle biomonitoring.",
publisher = "Springer, Dordrecht",
journal = "Air Quality Atmosphere and Health",
title = "Leaves of common urban tree species (Aesculus hippocastanum, Acer platanoides, Betula pendula and Tilia cordata) as a measure of particle and particle-bound pollution: a 4-year study",
pages = "1090-1081",
number = "9",
volume = "12",
doi = "10.1007/s11869-019-00724-6"
}

Anicic-Urosević, M., Jovanović, G., Stević, N., Deljanin, I., Nikolic, M., Tomasević, M.,& Samson, R.. (2019). Leaves of common urban tree species (Aesculus hippocastanum, Acer platanoides, Betula pendula and Tilia cordata) as a measure of particle and particle-bound pollution: a 4-year study. in Air Quality Atmosphere and Health
Springer, Dordrecht., 12(9), 1081-1090.
https://doi.org/10.1007/s11869-019-00724-6

Anicic-Urosević M, Jovanović G, Stević N, Deljanin I, Nikolic M, Tomasević M, Samson R. Leaves of common urban tree species (Aesculus hippocastanum, Acer platanoides, Betula pendula and Tilia cordata) as a measure of particle and particle-bound pollution: a 4-year study. in Air Quality Atmosphere and Health. 2019;12(9):1081-1090.
doi:10.1007/s11869-019-00724-6 .

Anicic-Urosević, Mira, Jovanović, Gordana, Stević, Nenad, Deljanin, Isidora, Nikolic, Miroslav, Tomasević, Milica, Samson, Roeland, "Leaves of common urban tree species (Aesculus hippocastanum, Acer platanoides, Betula pendula and Tilia cordata) as a measure of particle and particle-bound pollution: a 4-year study" in Air Quality Atmosphere and Health, 12, no. 9 (2019):1081-1090,
https://doi.org/10.1007/s11869-019-00724-6 . .

TY  - JOUR
AU  - Deljanin, Isidora
AU  - Antanasijević, Davor
AU  - Bjelajac, Anđelika
AU  - Anicic-Urosević, Mira P
AU  - Nikolic, Miroslav
AU  - Peric-Grujic, Aleksandra
AU  - Ristic, Mirjana
PY  - 2016
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/940
AB  - The 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 (>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.
PB  - Elsevier, Amsterdam
T2  - Science of the Total Environment
T1  - Chemometrics in biomonitoring: Distribution and correlation of trace elements in tree leaves
EP  - 371
SP  - 361
VL  - 545
DO  - 10.1016/j.scitotenv.2015.12.018
ER  - 

@article{
author = "Deljanin, Isidora and Antanasijević, Davor and Bjelajac, Anđelika and Anicic-Urosević, Mira P and Nikolic, Miroslav and Peric-Grujic, Aleksandra and Ristic, Mirjana",
year = "2016",
abstract = "The 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 (>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.",
publisher = "Elsevier, Amsterdam",
journal = "Science of the Total Environment",
title = "Chemometrics in biomonitoring: Distribution and correlation of trace elements in tree leaves",
pages = "371-361",
volume = "545",
doi = "10.1016/j.scitotenv.2015.12.018"
}

Deljanin, I., Antanasijević, D., Bjelajac, A., Anicic-Urosević, M. P., Nikolic, M., Peric-Grujic, A.,& Ristic, M.. (2016). Chemometrics in biomonitoring: Distribution and correlation of trace elements in tree leaves. in Science of the Total Environment
Elsevier, Amsterdam., 545, 361-371.
https://doi.org/10.1016/j.scitotenv.2015.12.018

Deljanin I, Antanasijević D, Bjelajac A, Anicic-Urosević MP, Nikolic M, Peric-Grujic A, Ristic M. Chemometrics in biomonitoring: Distribution and correlation of trace elements in tree leaves. in Science of the Total Environment. 2016;545:361-371.
doi:10.1016/j.scitotenv.2015.12.018 .

Deljanin, Isidora, Antanasijević, Davor, Bjelajac, Anđelika, Anicic-Urosević, Mira P, Nikolic, Miroslav, Peric-Grujic, Aleksandra, Ristic, Mirjana, "Chemometrics in biomonitoring: Distribution and correlation of trace elements in tree leaves" in Science of the Total Environment, 545 (2016):361-371,
https://doi.org/10.1016/j.scitotenv.2015.12.018 . .