TY  - JOUR
AU  - Jovanović, Maja V.
AU  - Savić, Jasmina
AU  - Kovačević, Renata
AU  - Tasić, Viša
AU  - Todorović, Žaklina
AU  - Stevanović, Svetlana
AU  - Manojlović, Dragan D.
AU  - Jovašević-Stojanović, Milena
PY  - 2020
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/3820
AB  - Urban airborne particles contain a wide spectrum of components, known to have harmful effects on human health. This study reports a detailed investigation of fine particulate matter (PM2.5), chemical content and oxidative potential derived from two different urban environments. During summer and winter, 20-day campaigns were conducted at Belgrade city center (urban-background site – UB) and Bor (urban-industrial site – UI). Using various analytical techniques, carbonaceous compounds, water-soluble inorganic ions, major and trace elements were determined, while the oxidative potential of PM2.5 was estimated by dichloro-dihydro-fluorescein diacetate (DCFH-DA) assay (OPDCFH values). The mean PM2.5 concentrations in both urban environments were above the recommended daily value, and the dominant PM2.5 mass contributor was organic matter (29–55%). The OC/EC ratio was significantly higher at UB site during winter, which was an indication of a considerable contribution of secondary organic carbon to the overall organic carbon (OC). Water-soluble organic carbon (WSOC) was also higher at UB than at UI site, and it probably came from the same sources as OC. In general, the different partition of secondary organic aerosol (SOA) in warm and cold periods affected the number of organic components. Sulfates and nitrates were the most abundant ions at both sites and they counted approximately 40% (summer) and 50% (winter) of total ions. Further, the concentrations of the most elements, particularly some potentially carcinogenic elements such as As, Cd and Pb were significantly higher at UI, due to the emissions from the copper smelter complex in the vicinity. The mean OPDCFH values were similar during the summer at both sampling sites, whereas a statistically significant difference between sites was noticed in favor of UB environment in winter.
PB  - Elsevier
T2  - Science of the Total Environment
T1  - Comparison of fine particulate matter level, chemical content and oxidative potential derived from two dissimilar urban environments
VL  - 708
SP  - 135209
DO  - 10.1016/j.scitotenv.2019.135209
ER  - 

@article{
author = "Jovanović, Maja V. and Savić, Jasmina and Kovačević, Renata and Tasić, Viša and Todorović, Žaklina and Stevanović, Svetlana and Manojlović, Dragan D. and Jovašević-Stojanović, Milena",
year = "2020",
abstract = "Urban airborne particles contain a wide spectrum of components, known to have harmful effects on human health. This study reports a detailed investigation of fine particulate matter (PM2.5), chemical content and oxidative potential derived from two different urban environments. During summer and winter, 20-day campaigns were conducted at Belgrade city center (urban-background site – UB) and Bor (urban-industrial site – UI). Using various analytical techniques, carbonaceous compounds, water-soluble inorganic ions, major and trace elements were determined, while the oxidative potential of PM2.5 was estimated by dichloro-dihydro-fluorescein diacetate (DCFH-DA) assay (OPDCFH values). The mean PM2.5 concentrations in both urban environments were above the recommended daily value, and the dominant PM2.5 mass contributor was organic matter (29–55%). The OC/EC ratio was significantly higher at UB site during winter, which was an indication of a considerable contribution of secondary organic carbon to the overall organic carbon (OC). Water-soluble organic carbon (WSOC) was also higher at UB than at UI site, and it probably came from the same sources as OC. In general, the different partition of secondary organic aerosol (SOA) in warm and cold periods affected the number of organic components. Sulfates and nitrates were the most abundant ions at both sites and they counted approximately 40% (summer) and 50% (winter) of total ions. Further, the concentrations of the most elements, particularly some potentially carcinogenic elements such as As, Cd and Pb were significantly higher at UI, due to the emissions from the copper smelter complex in the vicinity. The mean OPDCFH values were similar during the summer at both sampling sites, whereas a statistically significant difference between sites was noticed in favor of UB environment in winter.",
publisher = "Elsevier",
journal = "Science of the Total Environment",
title = "Comparison of fine particulate matter level, chemical content and oxidative potential derived from two dissimilar urban environments",
volume = "708",
pages = "135209",
doi = "10.1016/j.scitotenv.2019.135209"
}

Jovanović, M. V., Savić, J., Kovačević, R., Tasić, V., Todorović, Ž., Stevanović, S., Manojlović, D. D.,& Jovašević-Stojanović, M.. (2020). Comparison of fine particulate matter level, chemical content and oxidative potential derived from two dissimilar urban environments. in Science of the Total Environment
Elsevier., 708, 135209.
https://doi.org/10.1016/j.scitotenv.2019.135209

Jovanović MV, Savić J, Kovačević R, Tasić V, Todorović Ž, Stevanović S, Manojlović DD, Jovašević-Stojanović M. Comparison of fine particulate matter level, chemical content and oxidative potential derived from two dissimilar urban environments. in Science of the Total Environment. 2020;708:135209.
doi:10.1016/j.scitotenv.2019.135209 .

Jovanović, Maja V., Savić, Jasmina, Kovačević, Renata, Tasić, Viša, Todorović, Žaklina, Stevanović, Svetlana, Manojlović, Dragan D., Jovašević-Stojanović, Milena, "Comparison of fine particulate matter level, chemical content and oxidative potential derived from two dissimilar urban environments" in Science of the Total Environment, 708 (2020):135209,
https://doi.org/10.1016/j.scitotenv.2019.135209 . .

TY  - JOUR
AU  - Sremac, Snezana
AU  - Popović, Aleksandar R.
AU  - Todorović, Žaklina
AU  - Cokesa, Duro
AU  - Onjia, Antonije E.
PY  - 2008
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/947
AB  - An interpretative strategy (factorial design experimentation + total resolution analysis + chromatogram simulation) was employed to optimize the separation of 16 polycyclic aromatic hydrocarbons (PAHs) (naphthalene, acenaphthylene, acenaphthene, fluorene, phenanthrene, anthracene, fluoranthene, pyrene, chrysene, benzo(a)anthracene, benzo(k)fluoranthene, benzo(b)fluoranthene, benzo(a)pyrene, indeno(1,2,3-c,d)pyrene, dibenzo(a,h)anthracene, benzo(g,h,i)perylene) in temperature-programmed gas chromatography (GC). Also, the retention behavior of PAHs in the same GC system was studied by a feed-forward artificial neural network (ANN). GC separation was investigated as a function of one (linear temperature ramp) or two (linear temperature ramp+the final hold temperature) variables. The applied interpretative approach resulted in rather good agreement between the measured and the predicted retention times for PAHs in both one and two variable modeling. The ANN model, strongly affected by the number of input experiments, was shown to be less effective for one variable used, but quite successful when two input variables were used. All PAHs, including difficult to separate peak pairs (benzo(k)fluoranthene/benzo(b)fluoranthene and indeno(1,2,3-c,d)pyrene/dibenzo(a,h)anthracene), were separated in a standard (5% phenyl-95% climethylpolysiloxane) capillary column at an optimum temperature ramp of 8.0 degrees C/min and final hold temperature in the range of 260-320 degrees C. (C) 2008 Elsevier B.V. All rights reserved.
PB  - Elsevier Science Bv, Amsterdam
T2  - Talanta
T1  - Interpretative optimization and artificial neural network modeling of the gas chromatographic separation of polycyclic aromatic hydrocarbons
VL  - 76
IS  - 1
SP  - 66
EP  - 71
DO  - 10.1016/j.talanta.2008.02.004
ER  - 

@article{
author = "Sremac, Snezana and Popović, Aleksandar R. and Todorović, Žaklina and Cokesa, Duro and Onjia, Antonije E.",
year = "2008",
abstract = "An interpretative strategy (factorial design experimentation + total resolution analysis + chromatogram simulation) was employed to optimize the separation of 16 polycyclic aromatic hydrocarbons (PAHs) (naphthalene, acenaphthylene, acenaphthene, fluorene, phenanthrene, anthracene, fluoranthene, pyrene, chrysene, benzo(a)anthracene, benzo(k)fluoranthene, benzo(b)fluoranthene, benzo(a)pyrene, indeno(1,2,3-c,d)pyrene, dibenzo(a,h)anthracene, benzo(g,h,i)perylene) in temperature-programmed gas chromatography (GC). Also, the retention behavior of PAHs in the same GC system was studied by a feed-forward artificial neural network (ANN). GC separation was investigated as a function of one (linear temperature ramp) or two (linear temperature ramp+the final hold temperature) variables. The applied interpretative approach resulted in rather good agreement between the measured and the predicted retention times for PAHs in both one and two variable modeling. The ANN model, strongly affected by the number of input experiments, was shown to be less effective for one variable used, but quite successful when two input variables were used. All PAHs, including difficult to separate peak pairs (benzo(k)fluoranthene/benzo(b)fluoranthene and indeno(1,2,3-c,d)pyrene/dibenzo(a,h)anthracene), were separated in a standard (5% phenyl-95% climethylpolysiloxane) capillary column at an optimum temperature ramp of 8.0 degrees C/min and final hold temperature in the range of 260-320 degrees C. (C) 2008 Elsevier B.V. All rights reserved.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Talanta",
title = "Interpretative optimization and artificial neural network modeling of the gas chromatographic separation of polycyclic aromatic hydrocarbons",
volume = "76",
number = "1",
pages = "66-71",
doi = "10.1016/j.talanta.2008.02.004"
}

Sremac, S., Popović, A. R., Todorović, Ž., Cokesa, D.,& Onjia, A. E.. (2008). Interpretative optimization and artificial neural network modeling of the gas chromatographic separation of polycyclic aromatic hydrocarbons. in Talanta
Elsevier Science Bv, Amsterdam., 76(1), 66-71.
https://doi.org/10.1016/j.talanta.2008.02.004

Sremac S, Popović AR, Todorović Ž, Cokesa D, Onjia AE. Interpretative optimization and artificial neural network modeling of the gas chromatographic separation of polycyclic aromatic hydrocarbons. in Talanta. 2008;76(1):66-71.
doi:10.1016/j.talanta.2008.02.004 .

Sremac, Snezana, Popović, Aleksandar R., Todorović, Žaklina, Cokesa, Duro, Onjia, Antonije E., "Interpretative optimization and artificial neural network modeling of the gas chromatographic separation of polycyclic aromatic hydrocarbons" in Talanta, 76, no. 1 (2008):66-71,
https://doi.org/10.1016/j.talanta.2008.02.004 . .