Chemometrics in biomonitoring: Distribution and correlation of trace elements in tree leaves
Само за регистроване кориснике
2016
Аутори
Deljanin, IsidoraAntanasijević, Davor
Bjelajac, Anđelika
Aničić-Urošević, Mira
Nikolić, Miroslav
Perić-Grujić, Aleksandra
Ristić, Mirjana
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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 result...s 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.
Кључне речи:
Leaf biomonitoring / Clustering analysis / Preference ranking / SON / PROMETHEE-GAIA / SEM-EDSИзвор:
Science of the Total Environment, 2016, 545, 361-371Издавач:
- Elsevier, Amsterdam
Финансирање / пројекти:
- Развој и примена метода и материјала за мониторинг нових загађујућих и токсичних органских материја и тешких метала (RS-MESTD-Basic Research (BR or ON)-172007)
- Истраживање климатских промена и њиховог утицаја на животну средину - праћење утицаја, адаптација и ублажавање (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-43007)
- Минерални стрес и адаптације биљака на маргиналним пољопривредним земљиштима (RS-MESTD-Basic Research (BR or ON)-173028)
DOI: 10.1016/j.scitotenv.2015.12.018
ISSN: 0048-9697
PubMed: 26748000
WoS: 000369493000037
Scopus: 2-s2.0-84952700931
Колекције
Институција/група
Tehnološko-metalurški fakultetTY - JOUR AU - Deljanin, Isidora AU - Antanasijević, Davor AU - Bjelajac, Anđelika AU - Aničić-Urošević, Mira AU - Nikolić, Miroslav AU - Perić-Grujić, Aleksandra AU - Ristić, Mirjana PY - 2016 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/3385 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 ( 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. 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 Aničić-Urošević, Mira and Nikolić, Miroslav and Perić-Grujić, Aleksandra and Ristić, 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 ( 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.", 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., Aničić-Urošević, M., Nikolić, M., Perić-Grujić, A.,& Ristić, 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, Aničić-Urošević M, Nikolić M, Perić-Grujić A, Ristić 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, Aničić-Urošević, Mira, Nikolić, Miroslav, Perić-Grujić, Aleksandra, Ristić, 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 . .