Skrbic, Biljana

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  • Skrbic, Biljana (2)
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Author's Bibliography

Multivariate analyses of microelement contents in wheat cultivated in Serbia (2002)

Skrbic, Biljana; Onjia, Antonije E.

(2007)

TY  - JOUR
AU  - Skrbic, Biljana
AU  - Onjia, Antonije E.
PY  - 2007
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/3119
AB  - Microelements in soft winter wheat grain samples collected from all over Serbian wheat growing regions were analyzed quantitatively by atomic absorption spectrophotometry. Microelement contents differed markedly among wheat samples harvested from various regions. The most frequently occurring pattern is Fe GT Mn GT Zn GT Cu GT Ph GT As GT Cd GT Hg. Principal component analysis (PCA) and cluster analysis (CA) were applied to classify the samples according to their microelement contents. Four PCs, explaining 84% of total variance, correlate well with the following elements: PC1 with Cu, Mn, and Zn content; PC2 with Pb and As; PC3 with Cd; and PC4 with Hg. Iron fails to load significantly on any PCs. Physical meaning of PCs could be attributed to metabolic processes in wheat, soil type, vicinity of industrial centers and busy motorways, and application of agrochemicals. (C) 2005 Elsevier Ltd. All rights reserved.
T2  - Food Control
T1  - Multivariate analyses of microelement contents in wheat cultivated in Serbia (2002)
VL  - 18
IS  - 4
SP  - 338
EP  - 345
DO  - 10.1016/j.foodcont.2005.10.017
ER  - 
@article{
author = "Skrbic, Biljana and Onjia, Antonije E.",
year = "2007",
abstract = "Microelements in soft winter wheat grain samples collected from all over Serbian wheat growing regions were analyzed quantitatively by atomic absorption spectrophotometry. Microelement contents differed markedly among wheat samples harvested from various regions. The most frequently occurring pattern is Fe GT Mn GT Zn GT Cu GT Ph GT As GT Cd GT Hg. Principal component analysis (PCA) and cluster analysis (CA) were applied to classify the samples according to their microelement contents. Four PCs, explaining 84% of total variance, correlate well with the following elements: PC1 with Cu, Mn, and Zn content; PC2 with Pb and As; PC3 with Cd; and PC4 with Hg. Iron fails to load significantly on any PCs. Physical meaning of PCs could be attributed to metabolic processes in wheat, soil type, vicinity of industrial centers and busy motorways, and application of agrochemicals. (C) 2005 Elsevier Ltd. All rights reserved.",
journal = "Food Control",
title = "Multivariate analyses of microelement contents in wheat cultivated in Serbia (2002)",
volume = "18",
number = "4",
pages = "338-345",
doi = "10.1016/j.foodcont.2005.10.017"
}
Skrbic, B.,& Onjia, A. E.. (2007). Multivariate analyses of microelement contents in wheat cultivated in Serbia (2002). in Food Control, 18(4), 338-345.
https://doi.org/10.1016/j.foodcont.2005.10.017
Skrbic B, Onjia AE. Multivariate analyses of microelement contents in wheat cultivated in Serbia (2002). in Food Control. 2007;18(4):338-345.
doi:10.1016/j.foodcont.2005.10.017 .
Skrbic, Biljana, Onjia, Antonije E., "Multivariate analyses of microelement contents in wheat cultivated in Serbia (2002)" in Food Control, 18, no. 4 (2007):338-345,
https://doi.org/10.1016/j.foodcont.2005.10.017 . .
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Principal component analysis of trace elements in industrial soils

Slavković, Latinka J.; Skrbic, Biljana; Miljević, Nada R.; Onjia, Antonije E.

(2004)

TY  - JOUR
AU  - Slavković, Latinka J.
AU  - Skrbic, Biljana
AU  - Miljević, Nada R.
AU  - Onjia, Antonije E.
PY  - 2004
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/6593
AB  - The concentrations of the elements Cr, Pb, Cd, Zn, Ni, Mn, Cu and As in soil samples from industrial areas in Serbia were studied. The complexity of the data of eight elements in fifty-nine soil samples was reduced by principal component analysis. Three significant factors, in which 78% of the total variance in the data was found, were attributed to possible pollution sources. The crude and fuel oil burning, local smelters and exhaust emissions were shown to impact heavily the soil trace element profile, whereas no distinct soil type factor was observed. This approach, evidencing spatial relationship, enabled a differentiation between the soil samples originating from different areas.
T2  - Environmental Chemistry Letters
T1  - Principal component analysis of trace elements in industrial soils
VL  - 2
IS  - 2
SP  - 105
EP  - 108
DO  - 10.1007/s10311-004-0073-8
ER  - 
@article{
author = "Slavković, Latinka J. and Skrbic, Biljana and Miljević, Nada R. and Onjia, Antonije E.",
year = "2004",
abstract = "The concentrations of the elements Cr, Pb, Cd, Zn, Ni, Mn, Cu and As in soil samples from industrial areas in Serbia were studied. The complexity of the data of eight elements in fifty-nine soil samples was reduced by principal component analysis. Three significant factors, in which 78% of the total variance in the data was found, were attributed to possible pollution sources. The crude and fuel oil burning, local smelters and exhaust emissions were shown to impact heavily the soil trace element profile, whereas no distinct soil type factor was observed. This approach, evidencing spatial relationship, enabled a differentiation between the soil samples originating from different areas.",
journal = "Environmental Chemistry Letters",
title = "Principal component analysis of trace elements in industrial soils",
volume = "2",
number = "2",
pages = "105-108",
doi = "10.1007/s10311-004-0073-8"
}
Slavković, L. J., Skrbic, B., Miljević, N. R.,& Onjia, A. E.. (2004). Principal component analysis of trace elements in industrial soils. in Environmental Chemistry Letters, 2(2), 105-108.
https://doi.org/10.1007/s10311-004-0073-8
Slavković LJ, Skrbic B, Miljević NR, Onjia AE. Principal component analysis of trace elements in industrial soils. in Environmental Chemistry Letters. 2004;2(2):105-108.
doi:10.1007/s10311-004-0073-8 .
Slavković, Latinka J., Skrbic, Biljana, Miljević, Nada R., Onjia, Antonije E., "Principal component analysis of trace elements in industrial soils" in Environmental Chemistry Letters, 2, no. 2 (2004):105-108,
https://doi.org/10.1007/s10311-004-0073-8 . .
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