TY  - JOUR
AU  - Đukić, Aleksandar
AU  - Lekić, Branislava M.
AU  - Rajaković-Ognjanović, Vladana N.
AU  - Veljović, Đorđe N.
AU  - Vulić, Tatjana
AU  - Đolić, Maja B.
AU  - Naunović, Zorana
AU  - Despotović, Jovan
AU  - Prodanović, Dušan M.
PY  - 2016
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/1067
AB  - Various particles and materials, including pollutants, deposited on urban surfaces are washed off by stormwater runoff during rain events. The interactions between the solid and dissolved compounds in stormwater runoff are phenomena of importance for the selection and improvement of optimal stormwater management practices aimed at minimizing pollutant input to receiving waters. The objective of this research was to further investigate the mechanisms responsible for the partitioning of heavy metals (HM) between the solid and liquid phases in urban stormwater runoff. The research involved the collection of samples from urban asphalt surfaces, chemical characterization of the bulk liquid samples, solids separation, particle size distribution fractionation and chemical and physicochemical characterization of the solid phase particles. The results revealed that a negligible fraction of HM was present in the liquid phase (less than 3% by weight), while there was a strong correlation between the total content of heavy metals and total suspended solids. Examinations of surface morphology and mineralogy revealed that the solid phase particles consist predominantly of natural macroporous materials: alpha quartz (80%), magnetite (11.4%) and silicon diphosphate (8.9%). These materials have a low surface area and do not have significant adsorptive capacity. These materials have a low surface area and do not have significant adsorptive capacity. The presence of HM on the surface of solid particles was not confirmed by scanning electron microscopy and energy dispersive X-ray microanalyses. These findings, along with the results of the liquid phase sample characterization, indicate that the partitioning of HM between the liquid and solid phases in the analyzed samples may be attributed to precipitation processes. (C) 2015 Elsevier Ltd. All rights reserved.
PB  - Elsevier
T2  - Journal of Environmental Management
T1  - Further insight into the mechanism of heavy metals partitioning in stormwater runoff
VL  - 168
SP  - 104
EP  - 110
DO  - 10.1016/j.jenvman.2015.11.035
ER  - 

@article{
author = "Đukić, Aleksandar and Lekić, Branislava M. and Rajaković-Ognjanović, Vladana N. and Veljović, Đorđe N. and Vulić, Tatjana and Đolić, Maja B. and Naunović, Zorana and Despotović, Jovan and Prodanović, Dušan M.",
year = "2016",
abstract = "Various particles and materials, including pollutants, deposited on urban surfaces are washed off by stormwater runoff during rain events. The interactions between the solid and dissolved compounds in stormwater runoff are phenomena of importance for the selection and improvement of optimal stormwater management practices aimed at minimizing pollutant input to receiving waters. The objective of this research was to further investigate the mechanisms responsible for the partitioning of heavy metals (HM) between the solid and liquid phases in urban stormwater runoff. The research involved the collection of samples from urban asphalt surfaces, chemical characterization of the bulk liquid samples, solids separation, particle size distribution fractionation and chemical and physicochemical characterization of the solid phase particles. The results revealed that a negligible fraction of HM was present in the liquid phase (less than 3% by weight), while there was a strong correlation between the total content of heavy metals and total suspended solids. Examinations of surface morphology and mineralogy revealed that the solid phase particles consist predominantly of natural macroporous materials: alpha quartz (80%), magnetite (11.4%) and silicon diphosphate (8.9%). These materials have a low surface area and do not have significant adsorptive capacity. These materials have a low surface area and do not have significant adsorptive capacity. The presence of HM on the surface of solid particles was not confirmed by scanning electron microscopy and energy dispersive X-ray microanalyses. These findings, along with the results of the liquid phase sample characterization, indicate that the partitioning of HM between the liquid and solid phases in the analyzed samples may be attributed to precipitation processes. (C) 2015 Elsevier Ltd. All rights reserved.",
publisher = "Elsevier",
journal = "Journal of Environmental Management",
title = "Further insight into the mechanism of heavy metals partitioning in stormwater runoff",
volume = "168",
pages = "104-110",
doi = "10.1016/j.jenvman.2015.11.035"
}

Đukić, A., Lekić, B. M., Rajaković-Ognjanović, V. N., Veljović, Đ. N., Vulić, T., Đolić, M. B., Naunović, Z., Despotović, J.,& Prodanović, D. M.. (2016). Further insight into the mechanism of heavy metals partitioning in stormwater runoff. in Journal of Environmental Management
Elsevier., 168, 104-110.
https://doi.org/10.1016/j.jenvman.2015.11.035

Đukić A, Lekić BM, Rajaković-Ognjanović VN, Veljović ĐN, Vulić T, Đolić MB, Naunović Z, Despotović J, Prodanović DM. Further insight into the mechanism of heavy metals partitioning in stormwater runoff. in Journal of Environmental Management. 2016;168:104-110.
doi:10.1016/j.jenvman.2015.11.035 .

Đukić, Aleksandar, Lekić, Branislava M., Rajaković-Ognjanović, Vladana N., Veljović, Đorđe N., Vulić, Tatjana, Đolić, Maja B., Naunović, Zorana, Despotović, Jovan, Prodanović, Dušan M., "Further insight into the mechanism of heavy metals partitioning in stormwater runoff" in Journal of Environmental Management, 168 (2016):104-110,
https://doi.org/10.1016/j.jenvman.2015.11.035 . .

TY  - JOUR
AU  - Lekić, Branislava M.
AU  - Markovic, Dana D.
AU  - Rajaković-Ognjanović, Vladana N.
AU  - Đukić, Aleksandar R.
AU  - Rajaković, Ljubinka V.
PY  - 2013
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/5698
AB  - In this study, removal of arsenic ions using two industrial by-products as adsorbents is represented. Removal of As(III) and As(V) from water was carried out with industrial by-products: residual from the groundwater treatment process, iron-manganese oxide coated sand (IMOCS), and blast furnace slag from steel production (BFS), both inexpensive and locally available. In addition, the BFS was modified in order to minimise its deteriorating impact on the initial water quality. Kinetic and equilibrium studies were carried out using batch and fixed-bed column adsorption techniques under the conditions that are likely to occur in real water treatment systems. To evaluate the application for real groundwater treatment, the capacities of the selected materials were further compared to those exhibited by commercial sorbents, which were examined under the same experimental conditions. IMOCS was found to be a good and inexpensive sorbent for arsenic, while BFS and modified slag showed the highest affinity towards arsenic. All examined waste materials exhibited better sorption performances for As(V). The maximum sorption capacity in the batch reactor was obtained for blast furnace slag, 4040 mu gAs(V)/g.
T2  - Journal of Chemistry
T1  - Arsenic Removal from Water Using Industrial By-Products
DO  - 10.1155/2013/121024
ER  - 

@article{
author = "Lekić, Branislava M. and Markovic, Dana D. and Rajaković-Ognjanović, Vladana N. and Đukić, Aleksandar R. and Rajaković, Ljubinka V.",
year = "2013",
abstract = "In this study, removal of arsenic ions using two industrial by-products as adsorbents is represented. Removal of As(III) and As(V) from water was carried out with industrial by-products: residual from the groundwater treatment process, iron-manganese oxide coated sand (IMOCS), and blast furnace slag from steel production (BFS), both inexpensive and locally available. In addition, the BFS was modified in order to minimise its deteriorating impact on the initial water quality. Kinetic and equilibrium studies were carried out using batch and fixed-bed column adsorption techniques under the conditions that are likely to occur in real water treatment systems. To evaluate the application for real groundwater treatment, the capacities of the selected materials were further compared to those exhibited by commercial sorbents, which were examined under the same experimental conditions. IMOCS was found to be a good and inexpensive sorbent for arsenic, while BFS and modified slag showed the highest affinity towards arsenic. All examined waste materials exhibited better sorption performances for As(V). The maximum sorption capacity in the batch reactor was obtained for blast furnace slag, 4040 mu gAs(V)/g.",
journal = "Journal of Chemistry",
title = "Arsenic Removal from Water Using Industrial By-Products",
doi = "10.1155/2013/121024"
}

Lekić, B. M., Markovic, D. D., Rajaković-Ognjanović, V. N., Đukić, A. R.,& Rajaković, L. V.. (2013). Arsenic Removal from Water Using Industrial By-Products. in Journal of Chemistry.
https://doi.org/10.1155/2013/121024

Lekić BM, Markovic DD, Rajaković-Ognjanović VN, Đukić AR, Rajaković LV. Arsenic Removal from Water Using Industrial By-Products. in Journal of Chemistry. 2013;.
doi:10.1155/2013/121024 .

Lekić, Branislava M., Markovic, Dana D., Rajaković-Ognjanović, Vladana N., Đukić, Aleksandar R., Rajaković, Ljubinka V., "Arsenic Removal from Water Using Industrial By-Products" in Journal of Chemistry (2013),
https://doi.org/10.1155/2013/121024 . .

TY  - JOUR
AU  - Zivojinovic, Dragana Z.
AU  - Rajaković-Ognjanović, Vladana N.
AU  - Onjia, Antonije E.
AU  - Rajaković, Ljubinka V.
PY  - 2013
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/5568
AB  - In this study, a multivariate statistical approach was used to identify the key variables responsible for process water quality in a power plant. The ion species that could cause corrosion in one of the major thermal power plants (TPP) in Serbia were monitored. A suppressed ion chromatographic (IC) method for the determination of the target anions and cations at trace levels was applied. In addition, some metals important for corrosion, i.e., copper and iron, were also analysed by the graphite furnace atomic absorption spectrophotometric (GFAAS) method. The control parameters, i.e., pH, dissolved oxygen and silica, were measured on-line. The analysis of a series of representative samples from the TPP Nikola Tesla, collected in different plant operation modes, was performed. Every day laboratory and on-line analysis provides a large number of data in relation to the quality of water in the water-steam cycle (WSC) which should be evaluated and processed. The goal of this investigation was to apply multivariate statistical techniques and choose the most applicable technique for this case. Factor analysis (FA), especially principal component analysis (PCA) and cluster analysis (CA) were investigated. These methods were applied for the evaluation of the spatial/temporal variations of process water and for the estimation of 13 quality parameters which were monitored at 11 locations in the WSC in different working conditions during a twelve month period. It was concluded that PCA was the most useful method for identifying functional relations between the elements. After data reduction, four main factors controlling the variability were identified. Hierarchical cluster analysis (HCA) was applied for sample differentiation according to the sample location and working mode of the TPP. On the basis of this research, the new design of an optimal monitoring strategy for future analysis was proposed with a reduced number of measured parameters and with reduced frequency of their measurements.
T2  - Central European Journal of Chemistry
T1  - Spatial variations in the distribution of trace ionic impurities in the water-steam cycle in a thermal power plant based on a multivariate statistical approach
VL  - 11
IS  - 9
SP  - 1456
EP  - 1470
DO  - 10.2478/s11532-013-0286-4
ER  - 

@article{
author = "Zivojinovic, Dragana Z. and Rajaković-Ognjanović, Vladana N. and Onjia, Antonije E. and Rajaković, Ljubinka V.",
year = "2013",
abstract = "In this study, a multivariate statistical approach was used to identify the key variables responsible for process water quality in a power plant. The ion species that could cause corrosion in one of the major thermal power plants (TPP) in Serbia were monitored. A suppressed ion chromatographic (IC) method for the determination of the target anions and cations at trace levels was applied. In addition, some metals important for corrosion, i.e., copper and iron, were also analysed by the graphite furnace atomic absorption spectrophotometric (GFAAS) method. The control parameters, i.e., pH, dissolved oxygen and silica, were measured on-line. The analysis of a series of representative samples from the TPP Nikola Tesla, collected in different plant operation modes, was performed. Every day laboratory and on-line analysis provides a large number of data in relation to the quality of water in the water-steam cycle (WSC) which should be evaluated and processed. The goal of this investigation was to apply multivariate statistical techniques and choose the most applicable technique for this case. Factor analysis (FA), especially principal component analysis (PCA) and cluster analysis (CA) were investigated. These methods were applied for the evaluation of the spatial/temporal variations of process water and for the estimation of 13 quality parameters which were monitored at 11 locations in the WSC in different working conditions during a twelve month period. It was concluded that PCA was the most useful method for identifying functional relations between the elements. After data reduction, four main factors controlling the variability were identified. Hierarchical cluster analysis (HCA) was applied for sample differentiation according to the sample location and working mode of the TPP. On the basis of this research, the new design of an optimal monitoring strategy for future analysis was proposed with a reduced number of measured parameters and with reduced frequency of their measurements.",
journal = "Central European Journal of Chemistry",
title = "Spatial variations in the distribution of trace ionic impurities in the water-steam cycle in a thermal power plant based on a multivariate statistical approach",
volume = "11",
number = "9",
pages = "1456-1470",
doi = "10.2478/s11532-013-0286-4"
}

Zivojinovic, D. Z., Rajaković-Ognjanović, V. N., Onjia, A. E.,& Rajaković, L. V.. (2013). Spatial variations in the distribution of trace ionic impurities in the water-steam cycle in a thermal power plant based on a multivariate statistical approach. in Central European Journal of Chemistry, 11(9), 1456-1470.
https://doi.org/10.2478/s11532-013-0286-4

Zivojinovic DZ, Rajaković-Ognjanović VN, Onjia AE, Rajaković LV. Spatial variations in the distribution of trace ionic impurities in the water-steam cycle in a thermal power plant based on a multivariate statistical approach. in Central European Journal of Chemistry. 2013;11(9):1456-1470.
doi:10.2478/s11532-013-0286-4 .

Zivojinovic, Dragana Z., Rajaković-Ognjanović, Vladana N., Onjia, Antonije E., Rajaković, Ljubinka V., "Spatial variations in the distribution of trace ionic impurities in the water-steam cycle in a thermal power plant based on a multivariate statistical approach" in Central European Journal of Chemistry, 11, no. 9 (2013):1456-1470,
https://doi.org/10.2478/s11532-013-0286-4 . .

TY  - JOUR
AU  - Rajaković, Ljubinka V.
AU  - Markovic, Dana D.
AU  - Rajaković-Ognjanović, Vladana N.
AU  - Antanasijević, Davor Z.
PY  - 2012
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/5225
AB  - The analytical properties of an analytical method must be evaluated through validation protocols. Beside specificity and/or selectivity, linearity of calibration, repeatability and accuracy, the most important parameters are: LOD (limit of detection) and LOQ (limit of quantification). Through these limits, it is possible to define the smallest concentration of analyte that can be reliably detected and quantified. To establish these limits, an analyst should apply several estimation methods and test a large number of sample replicates. It is difficult to make a compromise between complex statistical programs and the simple analytical demand to have reliable analytical parameters. The differences and equivalency of estimation methods and approaches for analytical limits could be overcome by an experimental comparison. In this paper, the focus is the LOD of inductively coupled plasma-mass spectrometry (ICP-MS) measurements employed for the determination of arsenic. The current approaches for the calculation of the LOD are summarized and critically discussed. (C) 2012 Elsevier B.V. All rights reserved.
T2  - Talanta
T1  - Review: The approaches for estimation of limit of detection for ICP-MS trace analysis of arsenic
VL  - 102
IS  - SI
SP  - 79
EP  - 87
DO  - 10.1016/j.talanta.2012.08.016
ER  - 

@article{
author = "Rajaković, Ljubinka V. and Markovic, Dana D. and Rajaković-Ognjanović, Vladana N. and Antanasijević, Davor Z.",
year = "2012",
abstract = "The analytical properties of an analytical method must be evaluated through validation protocols. Beside specificity and/or selectivity, linearity of calibration, repeatability and accuracy, the most important parameters are: LOD (limit of detection) and LOQ (limit of quantification). Through these limits, it is possible to define the smallest concentration of analyte that can be reliably detected and quantified. To establish these limits, an analyst should apply several estimation methods and test a large number of sample replicates. It is difficult to make a compromise between complex statistical programs and the simple analytical demand to have reliable analytical parameters. The differences and equivalency of estimation methods and approaches for analytical limits could be overcome by an experimental comparison. In this paper, the focus is the LOD of inductively coupled plasma-mass spectrometry (ICP-MS) measurements employed for the determination of arsenic. The current approaches for the calculation of the LOD are summarized and critically discussed. (C) 2012 Elsevier B.V. All rights reserved.",
journal = "Talanta",
title = "Review: The approaches for estimation of limit of detection for ICP-MS trace analysis of arsenic",
volume = "102",
number = "SI",
pages = "79-87",
doi = "10.1016/j.talanta.2012.08.016"
}

Rajaković, L. V., Markovic, D. D., Rajaković-Ognjanović, V. N.,& Antanasijević, D. Z.. (2012). Review: The approaches for estimation of limit of detection for ICP-MS trace analysis of arsenic. in Talanta, 102(SI), 79-87.
https://doi.org/10.1016/j.talanta.2012.08.016

Rajaković LV, Markovic DD, Rajaković-Ognjanović VN, Antanasijević DZ. Review: The approaches for estimation of limit of detection for ICP-MS trace analysis of arsenic. in Talanta. 2012;102(SI):79-87.
doi:10.1016/j.talanta.2012.08.016 .

Rajaković, Ljubinka V., Markovic, Dana D., Rajaković-Ognjanović, Vladana N., Antanasijević, Davor Z., "Review: The approaches for estimation of limit of detection for ICP-MS trace analysis of arsenic" in Talanta, 102, no. SI (2012):79-87,
https://doi.org/10.1016/j.talanta.2012.08.016 . .