TY  - JOUR
AU  - Terzić, Anja
AU  - Radulović, Dragan
AU  - Pezo, Milada
AU  - Stojanović, Jovica
AU  - Pezo, Lato
AU  - Radojević, Zagorka
AU  - Andrić, Ljubiša
PY  - 2020
UR  - https://ritnms.itnms.ac.rs/handle/123456789/541
AB  - The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill performing under different technological conditions were determined by analytical modeling and verified via Artificial Neural Network in order to be employed in the production of cement-based binders. Cluster Analysis and Principal Component Analysis were utilized in assessment of the effect of activation process parameters on the activated pyrophyllite quality. Artificial Neural Network which performed with high prediction accuracy, i.e. 0.914 during the training period, was sufficient for precise prediction of activated pyrophyllite quality in a wide range of processing parameters. The probability of utilization of observed activation products was estimated through interrelation of technological parameters (mesh size sieve, activation period, specific energy consumption) and acquired characteristics of pyrophyllite (grain diameter, specific surface area). The optimal products singled out from each activation sequence were used as mineral additives in the mix-designs of four cement binders (cement replacement portion was 30%). Influence of activated pyrophyllite additions on the cement chemistry, mineral phase compositions and microstructures of the cement binders were monitored by instrumental techniques (DTA/TGA, XRD, SEM). Activated pyrophyllite showed characteristics of pozzolana as it slightly accelerated early stages of hydration, decreased cement hydration energy and increased the quantity of cement mineral alite at later hydration stages. Micron-sized crystalline foila characteristic for mechanically activated pyrophyllite formed micro-reinforcement within cement binder microstructure.
PB  - Elsevier Sci Ltd, Oxford
T2  - Construction and Building Materials
T1  - Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders
VL  - 258
DO  - 10.1016/j.conbuildmat.2020.119721
UR  - conv_891
ER  - 

@article{
author = "Terzić, Anja and Radulović, Dragan and Pezo, Milada and Stojanović, Jovica and Pezo, Lato and Radojević, Zagorka and Andrić, Ljubiša",
year = "2020",
abstract = "The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill performing under different technological conditions were determined by analytical modeling and verified via Artificial Neural Network in order to be employed in the production of cement-based binders. Cluster Analysis and Principal Component Analysis were utilized in assessment of the effect of activation process parameters on the activated pyrophyllite quality. Artificial Neural Network which performed with high prediction accuracy, i.e. 0.914 during the training period, was sufficient for precise prediction of activated pyrophyllite quality in a wide range of processing parameters. The probability of utilization of observed activation products was estimated through interrelation of technological parameters (mesh size sieve, activation period, specific energy consumption) and acquired characteristics of pyrophyllite (grain diameter, specific surface area). The optimal products singled out from each activation sequence were used as mineral additives in the mix-designs of four cement binders (cement replacement portion was 30%). Influence of activated pyrophyllite additions on the cement chemistry, mineral phase compositions and microstructures of the cement binders were monitored by instrumental techniques (DTA/TGA, XRD, SEM). Activated pyrophyllite showed characteristics of pozzolana as it slightly accelerated early stages of hydration, decreased cement hydration energy and increased the quantity of cement mineral alite at later hydration stages. Micron-sized crystalline foila characteristic for mechanically activated pyrophyllite formed micro-reinforcement within cement binder microstructure.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Construction and Building Materials",
title = "Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders",
volume = "258",
doi = "10.1016/j.conbuildmat.2020.119721",
url = "conv_891"
}

Terzić, A., Radulović, D., Pezo, M., Stojanović, J., Pezo, L., Radojević, Z.,& Andrić, L.. (2020). Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders. in Construction and Building Materials
Elsevier Sci Ltd, Oxford., 258.
https://doi.org/10.1016/j.conbuildmat.2020.119721
conv_891

Terzić A, Radulović D, Pezo M, Stojanović J, Pezo L, Radojević Z, Andrić L. Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders. in Construction and Building Materials. 2020;258.
doi:10.1016/j.conbuildmat.2020.119721
conv_891 .

Terzić, Anja, Radulović, Dragan, Pezo, Milada, Stojanović, Jovica, Pezo, Lato, Radojević, Zagorka, Andrić, Ljubiša, "Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders" in Construction and Building Materials, 258 (2020),
https://doi.org/10.1016/j.conbuildmat.2020.119721 .,
conv_891 .

TY  - JOUR
AU  - Sokić, Miroslav
AU  - Marković, Branislav
AU  - Pezo, Lato
AU  - Stanković, S.B.
AU  - Patarić, Aleksandra
AU  - Janjušević, Zoran
AU  - Lončar, B.Lj.
PY  - 2019
UR  - https://ritnms.itnms.ac.rs/handle/123456789/512
AB  - Hydrometallurgical processing of the copper concentrates is a promising alternative to the conventional pyrometallurgical production of copper due to significantly lower environmental impact, capital and operational costs. Development of the hydrometallurgical process for copper recovery from mineral concentrate requires extensive work in testing and optimization of operational parameters from laboratory to semi-industrial scale. Mathematical modelling of the copper leaching process can save human labour and time. Leaching of copper from chalcopyrite concentrate using sulphuric acid and sodium nitrate as an oxidant was tested, and the influence of temperature, particle size, stirring speed and concentrations of sulphuric acid and sodium nitrate were evaluated. Obtained results showed that increasing temperature and concentrations of sulphuric acid and sodium nitrate increase the leaching degree of copper, while increasing particle size and stirring speed reduce copper extraction. In this paper, second-order polynomial models (SOP) were applied to experimental data. Presented results show that mathematical models fit experimental data. The conclusion is that SOP models are a promising tool to be used for modelling leaching processes of metals.
PB  - Bulgarian Academy of Sciences
T2  - Bulgarian Chemical Communications
T1  - Copper leaching from chalcopyrite concentrate by sodium nitrate in sulphuric acid solution – chemometric approach
EP  - 463
IS  - 3
SP  - 457
VL  - 51
DO  - 10.34049/bcc.51.3.5119
UR  - conv_1022
ER  - 

@article{
author = "Sokić, Miroslav and Marković, Branislav and Pezo, Lato and Stanković, S.B. and Patarić, Aleksandra and Janjušević, Zoran and Lončar, B.Lj.",
year = "2019",
abstract = "Hydrometallurgical processing of the copper concentrates is a promising alternative to the conventional pyrometallurgical production of copper due to significantly lower environmental impact, capital and operational costs. Development of the hydrometallurgical process for copper recovery from mineral concentrate requires extensive work in testing and optimization of operational parameters from laboratory to semi-industrial scale. Mathematical modelling of the copper leaching process can save human labour and time. Leaching of copper from chalcopyrite concentrate using sulphuric acid and sodium nitrate as an oxidant was tested, and the influence of temperature, particle size, stirring speed and concentrations of sulphuric acid and sodium nitrate were evaluated. Obtained results showed that increasing temperature and concentrations of sulphuric acid and sodium nitrate increase the leaching degree of copper, while increasing particle size and stirring speed reduce copper extraction. In this paper, second-order polynomial models (SOP) were applied to experimental data. Presented results show that mathematical models fit experimental data. The conclusion is that SOP models are a promising tool to be used for modelling leaching processes of metals.",
publisher = "Bulgarian Academy of Sciences",
journal = "Bulgarian Chemical Communications",
title = "Copper leaching from chalcopyrite concentrate by sodium nitrate in sulphuric acid solution – chemometric approach",
pages = "463-457",
number = "3",
volume = "51",
doi = "10.34049/bcc.51.3.5119",
url = "conv_1022"
}

Sokić, M., Marković, B., Pezo, L., Stanković, S.B., Patarić, A., Janjušević, Z.,& Lončar, B.Lj.. (2019). Copper leaching from chalcopyrite concentrate by sodium nitrate in sulphuric acid solution – chemometric approach. in Bulgarian Chemical Communications
Bulgarian Academy of Sciences., 51(3), 457-463.
https://doi.org/10.34049/bcc.51.3.5119
conv_1022

Sokić M, Marković B, Pezo L, Stanković S, Patarić A, Janjušević Z, Lončar B. Copper leaching from chalcopyrite concentrate by sodium nitrate in sulphuric acid solution – chemometric approach. in Bulgarian Chemical Communications. 2019;51(3):457-463.
doi:10.34049/bcc.51.3.5119
conv_1022 .

Sokić, Miroslav, Marković, Branislav, Pezo, Lato, Stanković, S.B., Patarić, Aleksandra, Janjušević, Zoran, Lončar, B.Lj., "Copper leaching from chalcopyrite concentrate by sodium nitrate in sulphuric acid solution – chemometric approach" in Bulgarian Chemical Communications, 51, no. 3 (2019):457-463,
https://doi.org/10.34049/bcc.51.3.5119 .,
conv_1022 .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Milicić, Ljiljana
AU  - Mijatović, Nevenka
AU  - Radojević, Zagorka
AU  - Radulović, Dragan
AU  - Andrić, Ljubiša
PY  - 2019
UR  - https://ritnms.itnms.ac.rs/handle/123456789/503
AB  - Mineral additives are extensively applied as cement replacement materials in both construction concrete and mortar. Fly ash is one of the most commonly utilized additives which improve Theological properties, as well as thermal and mechanical behavior of mortar, and as such it has been widely investigated. This industrial byproduct comprises heavy metals in its composition; therefore further research is needed to optimize its effective dosage. Moreover, certain sorptive clays, such as natural zeolite and bentonite, can prevent migration of toxic elements from fly ash by immobilizing them in their structure. Ten experimental mortars are prepared with Portland cement, river sand and addition of fly ash, zeolite and/or bentonite in accordance with chemometric experimental design rules. The aim of the study was to investigate the effect of mineral additives on thermal and mechanical performances of mortar. Thermal characteristics were monitored via dilatometric analysis and DTA method. Principal component analysis was used on the results of physico-mechanical testing (workability, bulk density, water absorption, shrinkage, compressive and flexural strength) to enable the divisions of the observed samples into groups in the factor space. The performance of Artificial Neural Network was compared with the experimental data in order to develop rapid and accurate method for prediction of mechanical parameters of mortar. The ANN model showed high overall prediction accuracy (r(2) = 0.989, during training cycle). The test results indicate that incorporation of the mineral additives gave cost effective mortars with sufficiently good properties. However, tools of analytical modeling highlighted mortar with zeolite and fly ash as the optimal composition regarding its mechanical performance.
PB  - Međunarodni Institut za nauku o sinterovanju, Beograd
T2  - Science of Sintering
T1  - Thermal and Mechanical Behavior of Composite Mortars Containing Natural Sorptive Clays and Fly Ash
EP  - 56
IS  - 1
SP  - 39
VL  - 51
DO  - 10.2298/SOS1901039T
UR  - conv_865
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Milicić, Ljiljana and Mijatović, Nevenka and Radojević, Zagorka and Radulović, Dragan and Andrić, Ljubiša",
year = "2019",
abstract = "Mineral additives are extensively applied as cement replacement materials in both construction concrete and mortar. Fly ash is one of the most commonly utilized additives which improve Theological properties, as well as thermal and mechanical behavior of mortar, and as such it has been widely investigated. This industrial byproduct comprises heavy metals in its composition; therefore further research is needed to optimize its effective dosage. Moreover, certain sorptive clays, such as natural zeolite and bentonite, can prevent migration of toxic elements from fly ash by immobilizing them in their structure. Ten experimental mortars are prepared with Portland cement, river sand and addition of fly ash, zeolite and/or bentonite in accordance with chemometric experimental design rules. The aim of the study was to investigate the effect of mineral additives on thermal and mechanical performances of mortar. Thermal characteristics were monitored via dilatometric analysis and DTA method. Principal component analysis was used on the results of physico-mechanical testing (workability, bulk density, water absorption, shrinkage, compressive and flexural strength) to enable the divisions of the observed samples into groups in the factor space. The performance of Artificial Neural Network was compared with the experimental data in order to develop rapid and accurate method for prediction of mechanical parameters of mortar. The ANN model showed high overall prediction accuracy (r(2) = 0.989, during training cycle). The test results indicate that incorporation of the mineral additives gave cost effective mortars with sufficiently good properties. However, tools of analytical modeling highlighted mortar with zeolite and fly ash as the optimal composition regarding its mechanical performance.",
publisher = "Međunarodni Institut za nauku o sinterovanju, Beograd",
journal = "Science of Sintering",
title = "Thermal and Mechanical Behavior of Composite Mortars Containing Natural Sorptive Clays and Fly Ash",
pages = "56-39",
number = "1",
volume = "51",
doi = "10.2298/SOS1901039T",
url = "conv_865"
}

Terzić, A., Pezo, L., Milicić, L., Mijatović, N., Radojević, Z., Radulović, D.,& Andrić, L.. (2019). Thermal and Mechanical Behavior of Composite Mortars Containing Natural Sorptive Clays and Fly Ash. in Science of Sintering
Međunarodni Institut za nauku o sinterovanju, Beograd., 51(1), 39-56.
https://doi.org/10.2298/SOS1901039T
conv_865

Terzić A, Pezo L, Milicić L, Mijatović N, Radojević Z, Radulović D, Andrić L. Thermal and Mechanical Behavior of Composite Mortars Containing Natural Sorptive Clays and Fly Ash. in Science of Sintering. 2019;51(1):39-56.
doi:10.2298/SOS1901039T
conv_865 .

Terzić, Anja, Pezo, Lato, Milicić, Ljiljana, Mijatović, Nevenka, Radojević, Zagorka, Radulović, Dragan, Andrić, Ljubiša, "Thermal and Mechanical Behavior of Composite Mortars Containing Natural Sorptive Clays and Fly Ash" in Science of Sintering, 51, no. 1 (2019):39-56,
https://doi.org/10.2298/SOS1901039T .,
conv_865 .

TY  - JOUR
AU  - Milojković, Jelena
AU  - Popović-Đorđević, Jelena B.
AU  - Pezo, Lato
AU  - Brceski, Ilija D.
AU  - Kostić, Aleksandar
AU  - Milošević, Vladan
AU  - Stojanović, Mirjana
PY  - 2018
UR  - https://ritnms.itnms.ac.rs/handle/123456789/478
AB  - The preliminary assessment of the properties of alginate immobilized aquatic weed Myriophyllum spicatum beads-MsAlg in a multi-element system of nine Serbian lakes water samples was done. Herein, the results obtained in the biosorption experiment with MsAlg contents of twenty-two elements analysed by inductively coupled plasma-optical emission spectrometry, biosorption capacity, element removal efficiency, total hardness (TH) and quality index of water (WQI) are presented. Scanning electron microscopy with energy dispersive X-ray spectroscopy was used for the characterization of M. spicatum and its beads. The study showed that aluminium, magnesium and strontium were adsorbed by MsAlg in the water samples from all examined lakes; barium and iron in the water samples from six lakes. The overall average efficiency of MsAlg in biosorption of elements was in the following order: Al > Ba > Sr > Fe > Mg (58.6, 51.7, 48.2, 23.9 and 17.7%, respectively). The increase of TH and WQI values after the biosorption was noticed in all studied lake water samples. The most significant correlations for pH were regarding the contents of B, Mg and Ca, whereas WQI was highly correlated to the contents of B and Mg, and pH. The complexity of the obtained data was explained by Cluster Analysis and Principal Component Analysis, which showed good discrimination capabilities between the water samples taken from different locations. Considering that the invasive M. spicatum is natural, widespread and that its immobilization is cheap and eco-friendly, presented findings could be helpful in further assessment of MsAlg beads for its potential use as biofilter.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Water Research
T1  - Applying multi-criteria analysis for preliminary assessment of the properties of alginate immobilized Myriophyllum spicatum in lake water samples
EP  - 171
SP  - 163
VL  - 141
DO  - 10.1016/j.watres.2018.05.014
UR  - conv_828
ER  - 

@article{
author = "Milojković, Jelena and Popović-Đorđević, Jelena B. and Pezo, Lato and Brceski, Ilija D. and Kostić, Aleksandar and Milošević, Vladan and Stojanović, Mirjana",
year = "2018",
abstract = "The preliminary assessment of the properties of alginate immobilized aquatic weed Myriophyllum spicatum beads-MsAlg in a multi-element system of nine Serbian lakes water samples was done. Herein, the results obtained in the biosorption experiment with MsAlg contents of twenty-two elements analysed by inductively coupled plasma-optical emission spectrometry, biosorption capacity, element removal efficiency, total hardness (TH) and quality index of water (WQI) are presented. Scanning electron microscopy with energy dispersive X-ray spectroscopy was used for the characterization of M. spicatum and its beads. The study showed that aluminium, magnesium and strontium were adsorbed by MsAlg in the water samples from all examined lakes; barium and iron in the water samples from six lakes. The overall average efficiency of MsAlg in biosorption of elements was in the following order: Al > Ba > Sr > Fe > Mg (58.6, 51.7, 48.2, 23.9 and 17.7%, respectively). The increase of TH and WQI values after the biosorption was noticed in all studied lake water samples. The most significant correlations for pH were regarding the contents of B, Mg and Ca, whereas WQI was highly correlated to the contents of B and Mg, and pH. The complexity of the obtained data was explained by Cluster Analysis and Principal Component Analysis, which showed good discrimination capabilities between the water samples taken from different locations. Considering that the invasive M. spicatum is natural, widespread and that its immobilization is cheap and eco-friendly, presented findings could be helpful in further assessment of MsAlg beads for its potential use as biofilter.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Water Research",
title = "Applying multi-criteria analysis for preliminary assessment of the properties of alginate immobilized Myriophyllum spicatum in lake water samples",
pages = "171-163",
volume = "141",
doi = "10.1016/j.watres.2018.05.014",
url = "conv_828"
}

Milojković, J., Popović-Đorđević, J. B., Pezo, L., Brceski, I. D., Kostić, A., Milošević, V.,& Stojanović, M.. (2018). Applying multi-criteria analysis for preliminary assessment of the properties of alginate immobilized Myriophyllum spicatum in lake water samples. in Water Research
Pergamon-Elsevier Science Ltd, Oxford., 141, 163-171.
https://doi.org/10.1016/j.watres.2018.05.014
conv_828

Milojković J, Popović-Đorđević JB, Pezo L, Brceski ID, Kostić A, Milošević V, Stojanović M. Applying multi-criteria analysis for preliminary assessment of the properties of alginate immobilized Myriophyllum spicatum in lake water samples. in Water Research. 2018;141:163-171.
doi:10.1016/j.watres.2018.05.014
conv_828 .

Milojković, Jelena, Popović-Đorđević, Jelena B., Pezo, Lato, Brceski, Ilija D., Kostić, Aleksandar, Milošević, Vladan, Stojanović, Mirjana, "Applying multi-criteria analysis for preliminary assessment of the properties of alginate immobilized Myriophyllum spicatum in lake water samples" in Water Research, 141 (2018):163-171,
https://doi.org/10.1016/j.watres.2018.05.014 .,
conv_828 .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Mijatović, Nevenka
AU  - Stojanović, Jovica
AU  - Kragović, Milan
AU  - Milicić, Ljiljana
AU  - Andrić, Ljubiša
PY  - 2018
UR  - https://ritnms.itnms.ac.rs/handle/123456789/469
AB  - Instrumental analyses accompanied by analytical modeling tools were employed to assess physico-chemical changes induced by variations in chemical composition of cementitious composites, i.e. mortar binders. Coal combustion ash was utilized as pozzolanic mineral additive. The binders' mix-design was supplemented with sorptive clays to prevent migration of toxic elements from fly ash. The experiment was established on the premise of clay's ion-exchanging ability. Ten binders comprising cement CEM I 42.5 and fly ash, zeolite and/or bentonite additions were prepared in accordance with chemometric experimental design rules. Chemical composition was determined via XRF method. The changes in mineral phases and crystallinity were traced by X-ray diffraction. Hydration mechanisms and thermal behavior were investigated via DTA/TGA. The chemical bonds were identified by FTIR. Morphology of hardened samples was detected by SEM. Mathematical tools employed data sets of instrumental analyses to form a clear differentiation between binders and to assess changes caused by adoption of mineral additives in the mix designs. Sorptive clays showed pozzolanic behavior, thereby causing no incapacitation to the cement hydration mechanism, and classifying as a possible economical resources which can be used in production technology of construction materials to redeem environmental pollution issues of building industry.
PB  - Elsevier Sci Ltd, Oxford
T2  - Construction and Building Materials
T1  - The effect of alternations in mineral additives (zeolite, bentonite, fly ash) on physico-chemical behavior of Portland cement based binders
EP  - 210
SP  - 199
VL  - 180
DO  - 10.1016/j.conbuildmat.2018.06.007
UR  - conv_829
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Mijatović, Nevenka and Stojanović, Jovica and Kragović, Milan and Milicić, Ljiljana and Andrić, Ljubiša",
year = "2018",
abstract = "Instrumental analyses accompanied by analytical modeling tools were employed to assess physico-chemical changes induced by variations in chemical composition of cementitious composites, i.e. mortar binders. Coal combustion ash was utilized as pozzolanic mineral additive. The binders' mix-design was supplemented with sorptive clays to prevent migration of toxic elements from fly ash. The experiment was established on the premise of clay's ion-exchanging ability. Ten binders comprising cement CEM I 42.5 and fly ash, zeolite and/or bentonite additions were prepared in accordance with chemometric experimental design rules. Chemical composition was determined via XRF method. The changes in mineral phases and crystallinity were traced by X-ray diffraction. Hydration mechanisms and thermal behavior were investigated via DTA/TGA. The chemical bonds were identified by FTIR. Morphology of hardened samples was detected by SEM. Mathematical tools employed data sets of instrumental analyses to form a clear differentiation between binders and to assess changes caused by adoption of mineral additives in the mix designs. Sorptive clays showed pozzolanic behavior, thereby causing no incapacitation to the cement hydration mechanism, and classifying as a possible economical resources which can be used in production technology of construction materials to redeem environmental pollution issues of building industry.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Construction and Building Materials",
title = "The effect of alternations in mineral additives (zeolite, bentonite, fly ash) on physico-chemical behavior of Portland cement based binders",
pages = "210-199",
volume = "180",
doi = "10.1016/j.conbuildmat.2018.06.007",
url = "conv_829"
}

Terzić, A., Pezo, L., Mijatović, N., Stojanović, J., Kragović, M., Milicić, L.,& Andrić, L.. (2018). The effect of alternations in mineral additives (zeolite, bentonite, fly ash) on physico-chemical behavior of Portland cement based binders. in Construction and Building Materials
Elsevier Sci Ltd, Oxford., 180, 199-210.
https://doi.org/10.1016/j.conbuildmat.2018.06.007
conv_829

Terzić A, Pezo L, Mijatović N, Stojanović J, Kragović M, Milicić L, Andrić L. The effect of alternations in mineral additives (zeolite, bentonite, fly ash) on physico-chemical behavior of Portland cement based binders. in Construction and Building Materials. 2018;180:199-210.
doi:10.1016/j.conbuildmat.2018.06.007
conv_829 .

Terzić, Anja, Pezo, Lato, Mijatović, Nevenka, Stojanović, Jovica, Kragović, Milan, Milicić, Ljiljana, Andrić, Ljubiša, "The effect of alternations in mineral additives (zeolite, bentonite, fly ash) on physico-chemical behavior of Portland cement based binders" in Construction and Building Materials, 180 (2018):199-210,
https://doi.org/10.1016/j.conbuildmat.2018.06.007 .,
conv_829 .

TY  - JOUR
AU  - Radulović, Dragan
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
AU  - Grigorova, Irena
PY  - 2017
UR  - https://ritnms.itnms.ac.rs/handle/123456789/435
AB  - The limestone, as an economically sustainable and easily available basic raw material, is frequently utilized in the building industry for resolving of the environmental protection issues. The limestone is incorporated in a cementitious system either by grinding with cement clinker, or by blending with the binder during concrete production. The employing of powdery limestone as partial cement replacement gives the construction composites with properties comparable to that of conventional concrete. The study of limestone thermal behavior and its chemistry is crucial for the prognosis of the designed composites properties. In this work, the instrumental techniques (atomic emission spectroscopy, differential thermal and thermo-gravimetric analysis, Fourier transform infrared spectroscopy) and the Principal component analysis were employed to discriminate and classify 22 limestone types. The PCA statistical method, as a means of spectra and experimental data fingerprinting, grouped the samples in a multi-dimensional factor space producing four graphical prognosis - one for each instrumental method. DTA/TG peak values varied the most in a short range between 830-870 degrees C, while FTIR spectra showed the highest diversity in the 867-887 cm(-1) and 1237-1647 cm(-1) ranges. This research was governed by an idea to reveal whether it is possible to differentiate various limestone types and to predict the possibility of their employment in construction composites on the basis of the results of instrumental and mathematical analyses.
PB  - Međunarodni Institut za nauku o sinterovanju, Beograd
T2  - Science of Sintering
T1  - The Chemometric Study of Limestone Physico-chemical Properties and Thermal Behavior for Application in Construction Composites
EP  - 261
IS  - 3
SP  - 247
VL  - 49
DO  - 10.2298/SOS1703247R
UR  - conv_807
ER  - 

@article{
author = "Radulović, Dragan and Terzić, Anja and Pezo, Lato and Andrić, Ljubiša and Grigorova, Irena",
year = "2017",
abstract = "The limestone, as an economically sustainable and easily available basic raw material, is frequently utilized in the building industry for resolving of the environmental protection issues. The limestone is incorporated in a cementitious system either by grinding with cement clinker, or by blending with the binder during concrete production. The employing of powdery limestone as partial cement replacement gives the construction composites with properties comparable to that of conventional concrete. The study of limestone thermal behavior and its chemistry is crucial for the prognosis of the designed composites properties. In this work, the instrumental techniques (atomic emission spectroscopy, differential thermal and thermo-gravimetric analysis, Fourier transform infrared spectroscopy) and the Principal component analysis were employed to discriminate and classify 22 limestone types. The PCA statistical method, as a means of spectra and experimental data fingerprinting, grouped the samples in a multi-dimensional factor space producing four graphical prognosis - one for each instrumental method. DTA/TG peak values varied the most in a short range between 830-870 degrees C, while FTIR spectra showed the highest diversity in the 867-887 cm(-1) and 1237-1647 cm(-1) ranges. This research was governed by an idea to reveal whether it is possible to differentiate various limestone types and to predict the possibility of their employment in construction composites on the basis of the results of instrumental and mathematical analyses.",
publisher = "Međunarodni Institut za nauku o sinterovanju, Beograd",
journal = "Science of Sintering",
title = "The Chemometric Study of Limestone Physico-chemical Properties and Thermal Behavior for Application in Construction Composites",
pages = "261-247",
number = "3",
volume = "49",
doi = "10.2298/SOS1703247R",
url = "conv_807"
}

Radulović, D., Terzić, A., Pezo, L., Andrić, L.,& Grigorova, I.. (2017). The Chemometric Study of Limestone Physico-chemical Properties and Thermal Behavior for Application in Construction Composites. in Science of Sintering
Međunarodni Institut za nauku o sinterovanju, Beograd., 49(3), 247-261.
https://doi.org/10.2298/SOS1703247R
conv_807

Radulović D, Terzić A, Pezo L, Andrić L, Grigorova I. The Chemometric Study of Limestone Physico-chemical Properties and Thermal Behavior for Application in Construction Composites. in Science of Sintering. 2017;49(3):247-261.
doi:10.2298/SOS1703247R
conv_807 .

Radulović, Dragan, Terzić, Anja, Pezo, Lato, Andrić, Ljubiša, Grigorova, Irena, "The Chemometric Study of Limestone Physico-chemical Properties and Thermal Behavior for Application in Construction Composites" in Science of Sintering, 49, no. 3 (2017):247-261,
https://doi.org/10.2298/SOS1703247R .,
conv_807 .

TY  - JOUR
AU  - Terzić, Anja
AU  - Radulović, Dragan
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
AU  - Milicić, Ljiljana
AU  - Stojanović, Jovica
AU  - Grigorova, Irena
PY  - 2017
UR  - https://ritnms.itnms.ac.rs/handle/123456789/454
AB  - The effect of the combined actions of milling and hydrophobization procedures applied in construction composites synthesis was investigated. The mortars were prepared with cement (CEM I 42.5) and calcite aggregate complying the standard 1:3 mix ratio. The limestone filler (10 wt%) was added to the mixture upon its mechano-chemical activation in an ultra-centrifugal mill. The activation variables (milling time, rotor velocity, sieve mesh size) were altered to achieve the optimal quality of the powder. The treatment was optimized via chemometric tools. The r(2) values (0.955-0.998) of second order polynomial models accurately predicted the output and the Standard score analysis chose the optimal activation parameters: 4.25 min; 48.58 m/s and 80 gm sieve. The selected filler and all three aggregate fractions were coated with stearic acid via dry procedure. The mortar mixes, prepared with uncoated (M1) and coated (M2) aggregate and filler, were cured for a period of 28 days during which compressive strength and water absorption were monitored. The dimensional changes in mortars were estimated via TMA dilatometer measurements. Thermo-analytical methods (DTA/TGA) were applied in the thermal behavior analysis. Mineralogical and morphological changes in the structure of hardened composite were detected by XRD and SEM, respectively. Limestone aggregate led to lower final compressive strengths in mortar, but it produced an infinitesimally small shrinkage at 1000 degrees C. The hydrophobization via stearic acid initiated the decrease in water absorption and formation of needle-like micro-network that filled structural voids reducing open porosity. The assessment of the effects of limestone utilization as a filler and as an aggregate on the mortar performances confirmed that this novel water-repellent composite is applicable in structural design.
PB  - Elsevier Sci Ltd, Oxford
T2  - Composites Part B-Engineering
T1  - The effect of mechano-chemical activation and surface treatment of limestone filler on the properties of construction composites
EP  - 73
SP  - 61
VL  - 117
DO  - 10.1016/j.compositesb.2017.02.041
UR  - conv_794
ER  - 

@article{
author = "Terzić, Anja and Radulović, Dragan and Pezo, Lato and Andrić, Ljubiša and Milicić, Ljiljana and Stojanović, Jovica and Grigorova, Irena",
year = "2017",
abstract = "The effect of the combined actions of milling and hydrophobization procedures applied in construction composites synthesis was investigated. The mortars were prepared with cement (CEM I 42.5) and calcite aggregate complying the standard 1:3 mix ratio. The limestone filler (10 wt%) was added to the mixture upon its mechano-chemical activation in an ultra-centrifugal mill. The activation variables (milling time, rotor velocity, sieve mesh size) were altered to achieve the optimal quality of the powder. The treatment was optimized via chemometric tools. The r(2) values (0.955-0.998) of second order polynomial models accurately predicted the output and the Standard score analysis chose the optimal activation parameters: 4.25 min; 48.58 m/s and 80 gm sieve. The selected filler and all three aggregate fractions were coated with stearic acid via dry procedure. The mortar mixes, prepared with uncoated (M1) and coated (M2) aggregate and filler, were cured for a period of 28 days during which compressive strength and water absorption were monitored. The dimensional changes in mortars were estimated via TMA dilatometer measurements. Thermo-analytical methods (DTA/TGA) were applied in the thermal behavior analysis. Mineralogical and morphological changes in the structure of hardened composite were detected by XRD and SEM, respectively. Limestone aggregate led to lower final compressive strengths in mortar, but it produced an infinitesimally small shrinkage at 1000 degrees C. The hydrophobization via stearic acid initiated the decrease in water absorption and formation of needle-like micro-network that filled structural voids reducing open porosity. The assessment of the effects of limestone utilization as a filler and as an aggregate on the mortar performances confirmed that this novel water-repellent composite is applicable in structural design.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Composites Part B-Engineering",
title = "The effect of mechano-chemical activation and surface treatment of limestone filler on the properties of construction composites",
pages = "73-61",
volume = "117",
doi = "10.1016/j.compositesb.2017.02.041",
url = "conv_794"
}

Terzić, A., Radulović, D., Pezo, L., Andrić, L., Milicić, L., Stojanović, J.,& Grigorova, I.. (2017). The effect of mechano-chemical activation and surface treatment of limestone filler on the properties of construction composites. in Composites Part B-Engineering
Elsevier Sci Ltd, Oxford., 117, 61-73.
https://doi.org/10.1016/j.compositesb.2017.02.041
conv_794

Terzić A, Radulović D, Pezo L, Andrić L, Milicić L, Stojanović J, Grigorova I. The effect of mechano-chemical activation and surface treatment of limestone filler on the properties of construction composites. in Composites Part B-Engineering. 2017;117:61-73.
doi:10.1016/j.compositesb.2017.02.041
conv_794 .

Terzić, Anja, Radulović, Dragan, Pezo, Lato, Andrić, Ljubiša, Milicić, Ljiljana, Stojanović, Jovica, Grigorova, Irena, "The effect of mechano-chemical activation and surface treatment of limestone filler on the properties of construction composites" in Composites Part B-Engineering, 117 (2017):61-73,
https://doi.org/10.1016/j.compositesb.2017.02.041 .,
conv_794 .

TY  - JOUR
AU  - Stojanović, Mirjana
AU  - Pezo, Lato
AU  - Lačnjevac, Časlav
AU  - Mihajlović, Marija
AU  - Petrović, Jelena
AU  - Milojković, Jelena
AU  - Stanojević, Marija
PY  - 2016
UR  - https://ritnms.itnms.ac.rs/handle/123456789/412
AB  - This paper promotes the biometric classification system of plant cultivars, unique characteristics, in terms of the uranium (U) uptake, primarily in the function of the application for phytoremediation. It is known that the degree of adoption of U depends on the plant species and its morphological and physiological properties, but it is less known what impact have plants cultivars, sorts, and hybrids. Therefore, we investigated the U adoption in four cultivars of three plant species (corn, sunflower and soy bean). Vegetation experiments were carried out in a plastic-house filled with soil (0.66 mgU) and with tailing (15.3 mgU kg(-1)) from closed uranium mine Gabrovnica-Kalna southeast of Serbia. Principal Component Analysis (PCA), Cluster Analysis (CA) and analysis of variance (ANOVA) were used for assessing the effect of different substrates cultivars, plant species and plant organs (root or shoot) on U uptake. Obtained results showed that a difference in U uptake by three investigated plant species depends not only of the type of substrate types and plant organs but also of their cultivars. Biometrics techniques provide a good opportunity for a better understanding the behavior of plants and obtaining much more useful information from the original data.
PB  - Taylor & Francis Inc, Philadelphia
T2  - International Journal of Phytoremediation
T1  - Biometric approach in selecting plants for phytoaccumulation of uranium
EP  - 533
IS  - 5
SP  - 527
VL  - 18
DO  - 10.1080/15226514.2015.1115966
UR  - conv_750
ER  - 

@article{
author = "Stojanović, Mirjana and Pezo, Lato and Lačnjevac, Časlav and Mihajlović, Marija and Petrović, Jelena and Milojković, Jelena and Stanojević, Marija",
year = "2016",
abstract = "This paper promotes the biometric classification system of plant cultivars, unique characteristics, in terms of the uranium (U) uptake, primarily in the function of the application for phytoremediation. It is known that the degree of adoption of U depends on the plant species and its morphological and physiological properties, but it is less known what impact have plants cultivars, sorts, and hybrids. Therefore, we investigated the U adoption in four cultivars of three plant species (corn, sunflower and soy bean). Vegetation experiments were carried out in a plastic-house filled with soil (0.66 mgU) and with tailing (15.3 mgU kg(-1)) from closed uranium mine Gabrovnica-Kalna southeast of Serbia. Principal Component Analysis (PCA), Cluster Analysis (CA) and analysis of variance (ANOVA) were used for assessing the effect of different substrates cultivars, plant species and plant organs (root or shoot) on U uptake. Obtained results showed that a difference in U uptake by three investigated plant species depends not only of the type of substrate types and plant organs but also of their cultivars. Biometrics techniques provide a good opportunity for a better understanding the behavior of plants and obtaining much more useful information from the original data.",
publisher = "Taylor & Francis Inc, Philadelphia",
journal = "International Journal of Phytoremediation",
title = "Biometric approach in selecting plants for phytoaccumulation of uranium",
pages = "533-527",
number = "5",
volume = "18",
doi = "10.1080/15226514.2015.1115966",
url = "conv_750"
}

Stojanović, M., Pezo, L., Lačnjevac, Č., Mihajlović, M., Petrović, J., Milojković, J.,& Stanojević, M.. (2016). Biometric approach in selecting plants for phytoaccumulation of uranium. in International Journal of Phytoremediation
Taylor & Francis Inc, Philadelphia., 18(5), 527-533.
https://doi.org/10.1080/15226514.2015.1115966
conv_750

Stojanović M, Pezo L, Lačnjevac Č, Mihajlović M, Petrović J, Milojković J, Stanojević M. Biometric approach in selecting plants for phytoaccumulation of uranium. in International Journal of Phytoremediation. 2016;18(5):527-533.
doi:10.1080/15226514.2015.1115966
conv_750 .

Stojanović, Mirjana, Pezo, Lato, Lačnjevac, Časlav, Mihajlović, Marija, Petrović, Jelena, Milojković, Jelena, Stanojević, Marija, "Biometric approach in selecting plants for phytoaccumulation of uranium" in International Journal of Phytoremediation, 18, no. 5 (2016):527-533,
https://doi.org/10.1080/15226514.2015.1115966 .,
conv_750 .

TY  - JOUR
AU  - Milojković, Jelena
AU  - Pezo, Lato
AU  - Stojanović, Mirjana
AU  - Mihajlović, Marija
AU  - Lopičić, Zorica
AU  - Petrović, Jelena
AU  - Stanojević, Marija
AU  - Kragović, Milan
PY  - 2016
UR  - https://ritnms.itnms.ac.rs/handle/123456789/390
AB  - In this study adsorption characteristics of lead, copper, cadmium, nickel and zinc ions onto the compost of Myriophyllum spicatum were examined. The effects of sorbent dose, duration of sorption and solution concentration on the sorption of heavy metals have been investigated. Scanning electron microscope (SEM) and thermogravimetric and differential thermal analysis (TG-DTA) were used for the characterization of this biosorbent. Low coefficients of variation have been obtained for each applied assay, which confirmed the high accuracy of measurements. Principal component analysis (PCA) was applied for differentiation of samples. Mathematical models (form of second order polynomials) were developed for prediction of adsorption. Score analysis is being useful for accessing the effect of process parameters and the tool for determination of sorption quality. On the basic of experimental results and model parameters, it can be concluded that compost has a high biosorption capacity can be utilized for the removal of selected metals from wastewater.
PB  - Elsevier Science Bv, Amsterdam
T2  - Ecological Engineering
T1  - Selected heavy metal biosorption by compost of Myriophyllum spicatum-A chemometric approach
EP  - 119
SP  - 112
VL  - 93
DO  - 10.1016/j.ecoleng.2016.05.012
UR  - conv_760
ER  - 

@article{
author = "Milojković, Jelena and Pezo, Lato and Stojanović, Mirjana and Mihajlović, Marija and Lopičić, Zorica and Petrović, Jelena and Stanojević, Marija and Kragović, Milan",
year = "2016",
abstract = "In this study adsorption characteristics of lead, copper, cadmium, nickel and zinc ions onto the compost of Myriophyllum spicatum were examined. The effects of sorbent dose, duration of sorption and solution concentration on the sorption of heavy metals have been investigated. Scanning electron microscope (SEM) and thermogravimetric and differential thermal analysis (TG-DTA) were used for the characterization of this biosorbent. Low coefficients of variation have been obtained for each applied assay, which confirmed the high accuracy of measurements. Principal component analysis (PCA) was applied for differentiation of samples. Mathematical models (form of second order polynomials) were developed for prediction of adsorption. Score analysis is being useful for accessing the effect of process parameters and the tool for determination of sorption quality. On the basic of experimental results and model parameters, it can be concluded that compost has a high biosorption capacity can be utilized for the removal of selected metals from wastewater.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Ecological Engineering",
title = "Selected heavy metal biosorption by compost of Myriophyllum spicatum-A chemometric approach",
pages = "119-112",
volume = "93",
doi = "10.1016/j.ecoleng.2016.05.012",
url = "conv_760"
}

Milojković, J., Pezo, L., Stojanović, M., Mihajlović, M., Lopičić, Z., Petrović, J., Stanojević, M.,& Kragović, M.. (2016). Selected heavy metal biosorption by compost of Myriophyllum spicatum-A chemometric approach. in Ecological Engineering
Elsevier Science Bv, Amsterdam., 93, 112-119.
https://doi.org/10.1016/j.ecoleng.2016.05.012
conv_760

Milojković J, Pezo L, Stojanović M, Mihajlović M, Lopičić Z, Petrović J, Stanojević M, Kragović M. Selected heavy metal biosorption by compost of Myriophyllum spicatum-A chemometric approach. in Ecological Engineering. 2016;93:112-119.
doi:10.1016/j.ecoleng.2016.05.012
conv_760 .

Milojković, Jelena, Pezo, Lato, Stojanović, Mirjana, Mihajlović, Marija, Lopičić, Zorica, Petrović, Jelena, Stanojević, Marija, Kragović, Milan, "Selected heavy metal biosorption by compost of Myriophyllum spicatum-A chemometric approach" in Ecological Engineering, 93 (2016):112-119,
https://doi.org/10.1016/j.ecoleng.2016.05.012 .,
conv_760 .

TY  - JOUR
AU  - Stanković, Slavka
AU  - Jović, Mihajlo
AU  - Tanaskovski, Bojan
AU  - Mihajlović, Marija
AU  - Joksimović, Danijela
AU  - Pezo, Lato
PY  - 2015
UR  - https://ritnms.itnms.ac.rs/handle/123456789/352
AB  - To assess metal pollution, Fe, Mn, Cu, Zn, Pb, Ni, Co, As, Cd, and Hg contents in samples of the seagrass Posidonia oceanica and surface sediment, collected at eight locations along the Montenegrin coast, were determined. The metal pollution index (MPI) and metal enrichment factor (EF) were then calculated. MPI and EF were lower in sediment than in P. oceanica at the same locations. This was very evident for EF values of Hg and Cd. Based on the Pearson's correlations and EF values, it was possible to conclude that the last two metals' content in the seagrass did not originate from the crustal sources or natural weathering processes.
PB  - Springer Heidelberg, Heidelberg
T2  - Environmental science and pollution research
T1  - Can the origin of some metals in the seagrass Posidonia oceanica be determined by the indexes of metals pollutions?
EP  - 8263
IS  - 11
SP  - 8253
VL  - 22
DO  - 10.1007/s11356-014-3953-x
UR  - conv_730
ER  - 

@article{
author = "Stanković, Slavka and Jović, Mihajlo and Tanaskovski, Bojan and Mihajlović, Marija and Joksimović, Danijela and Pezo, Lato",
year = "2015",
abstract = "To assess metal pollution, Fe, Mn, Cu, Zn, Pb, Ni, Co, As, Cd, and Hg contents in samples of the seagrass Posidonia oceanica and surface sediment, collected at eight locations along the Montenegrin coast, were determined. The metal pollution index (MPI) and metal enrichment factor (EF) were then calculated. MPI and EF were lower in sediment than in P. oceanica at the same locations. This was very evident for EF values of Hg and Cd. Based on the Pearson's correlations and EF values, it was possible to conclude that the last two metals' content in the seagrass did not originate from the crustal sources or natural weathering processes.",
publisher = "Springer Heidelberg, Heidelberg",
journal = "Environmental science and pollution research",
title = "Can the origin of some metals in the seagrass Posidonia oceanica be determined by the indexes of metals pollutions?",
pages = "8263-8253",
number = "11",
volume = "22",
doi = "10.1007/s11356-014-3953-x",
url = "conv_730"
}

Stanković, S., Jović, M., Tanaskovski, B., Mihajlović, M., Joksimović, D.,& Pezo, L.. (2015). Can the origin of some metals in the seagrass Posidonia oceanica be determined by the indexes of metals pollutions?. in Environmental science and pollution research
Springer Heidelberg, Heidelberg., 22(11), 8253-8263.
https://doi.org/10.1007/s11356-014-3953-x
conv_730

Stanković S, Jović M, Tanaskovski B, Mihajlović M, Joksimović D, Pezo L. Can the origin of some metals in the seagrass Posidonia oceanica be determined by the indexes of metals pollutions?. in Environmental science and pollution research. 2015;22(11):8253-8263.
doi:10.1007/s11356-014-3953-x
conv_730 .

Stanković, Slavka, Jović, Mihajlo, Tanaskovski, Bojan, Mihajlović, Marija, Joksimović, Danijela, Pezo, Lato, "Can the origin of some metals in the seagrass Posidonia oceanica be determined by the indexes of metals pollutions?" in Environmental science and pollution research, 22, no. 11 (2015):8253-8263,
https://doi.org/10.1007/s11356-014-3953-x .,
conv_730 .

TY  - JOUR
AU  - Patarić, Aleksandra
AU  - Gulišija, Zvonko
AU  - Jordović, Branka
AU  - Pezo, Lato
AU  - Mihailović, Marija
AU  - Stefanović, Milentije
PY  - 2015
UR  - https://ritnms.itnms.ac.rs/handle/123456789/354
AB  - In this study the mechanical properties (reduction of area, S-0, tensile strength, R-m, yield strength, R-p, and elongation, A) of EN AW 7075 aluminum alloy obtained by electromagnetic casting were investigated at different operating parameters: frequency (V), field strength (T) and current intensity (I). The predictive mathematical models using Response Surface Methodology, with second order polynomial (SOP) regression models, and Artificial Neural Network model (ANN), were afterwards compared to obtained experimental results. Analysis of variance and post-hoc Tukey's HSD test at 95% confidence limit ("honestly significant differences") have been utilised to show significant differences between various samples. SOP models showed good prediction capabilities, with high coefficients of determination (r(2)), 0.531-0.977, while ANN model performed even better prediction accuracy: 0.800-0.992. The optimal samples were chosen depending on mechanical properties of the product (S-0 = 50.49mm(2), R-m = 405.75Nmm(-2), R-p = 302.49Nmm(-2), A = 6.86%), using optimal operating parameters (V = 30 Hz, I = 250 A, T = 18 x 10(-3) At).
PB  - Japan Inst Metals, Sendai
T2  - Materials Transactions
T1  - Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process
EP  - 839
IS  - 6
SP  - 835
VL  - 56
DO  - 10.2320/matertrans.M2015058
UR  - conv_734
ER  - 

@article{
author = "Patarić, Aleksandra and Gulišija, Zvonko and Jordović, Branka and Pezo, Lato and Mihailović, Marija and Stefanović, Milentije",
year = "2015",
abstract = "In this study the mechanical properties (reduction of area, S-0, tensile strength, R-m, yield strength, R-p, and elongation, A) of EN AW 7075 aluminum alloy obtained by electromagnetic casting were investigated at different operating parameters: frequency (V), field strength (T) and current intensity (I). The predictive mathematical models using Response Surface Methodology, with second order polynomial (SOP) regression models, and Artificial Neural Network model (ANN), were afterwards compared to obtained experimental results. Analysis of variance and post-hoc Tukey's HSD test at 95% confidence limit ("honestly significant differences") have been utilised to show significant differences between various samples. SOP models showed good prediction capabilities, with high coefficients of determination (r(2)), 0.531-0.977, while ANN model performed even better prediction accuracy: 0.800-0.992. The optimal samples were chosen depending on mechanical properties of the product (S-0 = 50.49mm(2), R-m = 405.75Nmm(-2), R-p = 302.49Nmm(-2), A = 6.86%), using optimal operating parameters (V = 30 Hz, I = 250 A, T = 18 x 10(-3) At).",
publisher = "Japan Inst Metals, Sendai",
journal = "Materials Transactions",
title = "Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process",
pages = "839-835",
number = "6",
volume = "56",
doi = "10.2320/matertrans.M2015058",
url = "conv_734"
}

Patarić, A., Gulišija, Z., Jordović, B., Pezo, L., Mihailović, M.,& Stefanović, M.. (2015). Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process. in Materials Transactions
Japan Inst Metals, Sendai., 56(6), 835-839.
https://doi.org/10.2320/matertrans.M2015058
conv_734

Patarić A, Gulišija Z, Jordović B, Pezo L, Mihailović M, Stefanović M. Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process. in Materials Transactions. 2015;56(6):835-839.
doi:10.2320/matertrans.M2015058
conv_734 .

Patarić, Aleksandra, Gulišija, Zvonko, Jordović, Branka, Pezo, Lato, Mihailović, Marija, Stefanović, Milentije, "Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process" in Materials Transactions, 56, no. 6 (2015):835-839,
https://doi.org/10.2320/matertrans.M2015058 .,
conv_734 .

TY  - JOUR
AU  - Petrović, Marija
AU  - Šoštarić, Tatjana
AU  - Pezo, Lato
AU  - Stanković, Slavka
AU  - Lačnjevac, Časlav
AU  - Milojković, Jelena
AU  - Stojanović, Mirjana
PY  - 2015
UR  - https://ritnms.itnms.ac.rs/handle/123456789/371
AB  - U radu je ispitana mogućnost upotrebe lokalno dostupnih lignoceluloznih materijala kao potencijalnih biosorbenata u svrhu uklanjanja jona bakra iz vodenih rastvora. Ispitivani materijali predstavljaju čvrst otpad koji nastaje nakon prerade kukuruza (oklasak kukuruza) i nakon prerade voća (koštice kajsije). Ovakav otpad ima malu ekonomsku vrednost a njegovo odlaganje predstavlja ekološki problem. U šaržnom sistemu ispitani su uticaj inicijalne koncentracije Cu(II) jona (Ci), količine biomase (m) i zapremine rastvora (V) na efikasnost biosorpcije i vrednost biosorpcionog kapaciteta. Utvrđeni su optimalni procesni parametri. Eksperimentalni rezultati su poređeni sa dva modela: SOP (second order polynomial regression models) i ANN (artificial neural networks), pri čemu je SOP model pokazao prihvatljiv determinacioni koefijent (0,842-0,997), dok je ANN pokazao visoku tačnost prognoze (0,980-0,986) u odnosu na eksperimentalne rezultate.
AB  - The purpose of this study was to investigate the adsorption properties of locally available lignocellulose biomaterials as biosorbents for the removal of copper ions from aqueous solution. Materials are generated from juice production (apricot stones) and from the corn milling process (corn cob). Such solid wastes have little or no economic value and very often present a disposal problem. Using batch adsorption techniques the effects of initial Cu(II) ions concentration (Ci), amount of biomass (m) and volume of metal solution (V) on biosorption efficiency and capacity were studied for both materials, without any pre-treatments. The optimal parameters for both biosorbents were selected depending on the highest sorption capability of biosorbent in removal of Cu(II). Experimental data were compared with second order polynomial regression models (SOPs) and artificial neural networks (ANNs). SOPs showed acceptable coefficients of determination (0.842-0.997), while ANNs performed with high prediction accuracy (0.980-0.986) in comparison to experimental results.
PB  - Savez hemijskih inženjera, Beograd
T2  - Chemical Industry and Chemical Engineering Quarterly / CICEQ
T1  - Primena ANN modela na proces uklanjanja bakra iz vodenih rastvora upotrebom agro-industrijskog otpada
T1  - Usefulness of ANN-based model for copper removal from aqueous solutions using agro industrial waste materials
EP  - 259
IS  - 2
SP  - 249
VL  - 21
DO  - 10.2298/CICEQ140510023P
UR  - conv_392
ER  - 

@article{
author = "Petrović, Marija and Šoštarić, Tatjana and Pezo, Lato and Stanković, Slavka and Lačnjevac, Časlav and Milojković, Jelena and Stojanović, Mirjana",
year = "2015",
abstract = "U radu je ispitana mogućnost upotrebe lokalno dostupnih lignoceluloznih materijala kao potencijalnih biosorbenata u svrhu uklanjanja jona bakra iz vodenih rastvora. Ispitivani materijali predstavljaju čvrst otpad koji nastaje nakon prerade kukuruza (oklasak kukuruza) i nakon prerade voća (koštice kajsije). Ovakav otpad ima malu ekonomsku vrednost a njegovo odlaganje predstavlja ekološki problem. U šaržnom sistemu ispitani su uticaj inicijalne koncentracije Cu(II) jona (Ci), količine biomase (m) i zapremine rastvora (V) na efikasnost biosorpcije i vrednost biosorpcionog kapaciteta. Utvrđeni su optimalni procesni parametri. Eksperimentalni rezultati su poređeni sa dva modela: SOP (second order polynomial regression models) i ANN (artificial neural networks), pri čemu je SOP model pokazao prihvatljiv determinacioni koefijent (0,842-0,997), dok je ANN pokazao visoku tačnost prognoze (0,980-0,986) u odnosu na eksperimentalne rezultate., The purpose of this study was to investigate the adsorption properties of locally available lignocellulose biomaterials as biosorbents for the removal of copper ions from aqueous solution. Materials are generated from juice production (apricot stones) and from the corn milling process (corn cob). Such solid wastes have little or no economic value and very often present a disposal problem. Using batch adsorption techniques the effects of initial Cu(II) ions concentration (Ci), amount of biomass (m) and volume of metal solution (V) on biosorption efficiency and capacity were studied for both materials, without any pre-treatments. The optimal parameters for both biosorbents were selected depending on the highest sorption capability of biosorbent in removal of Cu(II). Experimental data were compared with second order polynomial regression models (SOPs) and artificial neural networks (ANNs). SOPs showed acceptable coefficients of determination (0.842-0.997), while ANNs performed with high prediction accuracy (0.980-0.986) in comparison to experimental results.",
publisher = "Savez hemijskih inženjera, Beograd",
journal = "Chemical Industry and Chemical Engineering Quarterly / CICEQ",
title = "Primena ANN modela na proces uklanjanja bakra iz vodenih rastvora upotrebom agro-industrijskog otpada, Usefulness of ANN-based model for copper removal from aqueous solutions using agro industrial waste materials",
pages = "259-249",
number = "2",
volume = "21",
doi = "10.2298/CICEQ140510023P",
url = "conv_392"
}

Petrović, M., Šoštarić, T., Pezo, L., Stanković, S., Lačnjevac, Č., Milojković, J.,& Stojanović, M.. (2015). Primena ANN modela na proces uklanjanja bakra iz vodenih rastvora upotrebom agro-industrijskog otpada. in Chemical Industry and Chemical Engineering Quarterly / CICEQ
Savez hemijskih inženjera, Beograd., 21(2), 249-259.
https://doi.org/10.2298/CICEQ140510023P
conv_392

Petrović M, Šoštarić T, Pezo L, Stanković S, Lačnjevac Č, Milojković J, Stojanović M. Primena ANN modela na proces uklanjanja bakra iz vodenih rastvora upotrebom agro-industrijskog otpada. in Chemical Industry and Chemical Engineering Quarterly / CICEQ. 2015;21(2):249-259.
doi:10.2298/CICEQ140510023P
conv_392 .

Petrović, Marija, Šoštarić, Tatjana, Pezo, Lato, Stanković, Slavka, Lačnjevac, Časlav, Milojković, Jelena, Stojanović, Mirjana, "Primena ANN modela na proces uklanjanja bakra iz vodenih rastvora upotrebom agro-industrijskog otpada" in Chemical Industry and Chemical Engineering Quarterly / CICEQ, 21, no. 2 (2015):249-259,
https://doi.org/10.2298/CICEQ140510023P .,
conv_392 .

TY  - JOUR
AU  - Stojanović, Mirjana
AU  - Pezo, Lato
AU  - Mihajlović, Marija
AU  - Petrović, Jelena
AU  - Petrović, Marija
AU  - Šoštarić, Tatjana
AU  - Milojković, Jelena
PY  - 2014
UR  - https://ritnms.itnms.ac.rs/handle/123456789/324
AB  - Understanding the effect of soil parameters (pH, Eh and organic and inorganic ligands availability) on uranium mobility under different geochemical conditions is fundamental for reliable prediction of its behaviour and fate in the environment. In this study, the impact of total and available phosphorus content, humus and acidity of Serbian agricultural soils on the content of total and available uranium were evaluated by Response Surface Methodology (RSM), second order polynomial regression models (SOPs) and artificial neural networks (ANNs). The performance of ANNs was compared with the performance of SOPs and experimental results. SOPs showed high coefficients of determination (0.785-0.956), while ANN model performed high prediction accuracy: 0.8893-0.904. According to the results, total and available uranium content in the soil were mostly affected by pH, statistically significant at p  LT  0.05 level. For the same responses the total phosphorus was found to be also very influential, statistically significant at p  LT  0.05 and p  LT  0.10 levels. The impact of available phosphourus and humus was much more influential on total and available uranium content, compared to total phosphorus content. Proposed chemometric approach will be very helpful in preserving the natural resources and practical application for risk assessment modeling of uranium environmental pathways.
PB  - Walter De Gruyter Gmbh, Berlin
T2  - Radiochimica Acta
T1  - Chemometric approach for prediction of uranium pathways in the soil
EP  - 710
IS  - 8
SP  - 701
VL  - 102
DO  - 10.1515/ract-2013-2178
UR  - conv_694
ER  - 

@article{
author = "Stojanović, Mirjana and Pezo, Lato and Mihajlović, Marija and Petrović, Jelena and Petrović, Marija and Šoštarić, Tatjana and Milojković, Jelena",
year = "2014",
abstract = "Understanding the effect of soil parameters (pH, Eh and organic and inorganic ligands availability) on uranium mobility under different geochemical conditions is fundamental for reliable prediction of its behaviour and fate in the environment. In this study, the impact of total and available phosphorus content, humus and acidity of Serbian agricultural soils on the content of total and available uranium were evaluated by Response Surface Methodology (RSM), second order polynomial regression models (SOPs) and artificial neural networks (ANNs). The performance of ANNs was compared with the performance of SOPs and experimental results. SOPs showed high coefficients of determination (0.785-0.956), while ANN model performed high prediction accuracy: 0.8893-0.904. According to the results, total and available uranium content in the soil were mostly affected by pH, statistically significant at p  LT  0.05 level. For the same responses the total phosphorus was found to be also very influential, statistically significant at p  LT  0.05 and p  LT  0.10 levels. The impact of available phosphourus and humus was much more influential on total and available uranium content, compared to total phosphorus content. Proposed chemometric approach will be very helpful in preserving the natural resources and practical application for risk assessment modeling of uranium environmental pathways.",
publisher = "Walter De Gruyter Gmbh, Berlin",
journal = "Radiochimica Acta",
title = "Chemometric approach for prediction of uranium pathways in the soil",
pages = "710-701",
number = "8",
volume = "102",
doi = "10.1515/ract-2013-2178",
url = "conv_694"
}

Stojanović, M., Pezo, L., Mihajlović, M., Petrović, J., Petrović, M., Šoštarić, T.,& Milojković, J.. (2014). Chemometric approach for prediction of uranium pathways in the soil. in Radiochimica Acta
Walter De Gruyter Gmbh, Berlin., 102(8), 701-710.
https://doi.org/10.1515/ract-2013-2178
conv_694

Stojanović M, Pezo L, Mihajlović M, Petrović J, Petrović M, Šoštarić T, Milojković J. Chemometric approach for prediction of uranium pathways in the soil. in Radiochimica Acta. 2014;102(8):701-710.
doi:10.1515/ract-2013-2178
conv_694 .

Stojanović, Mirjana, Pezo, Lato, Mihajlović, Marija, Petrović, Jelena, Petrović, Marija, Šoštarić, Tatjana, Milojković, Jelena, "Chemometric approach for prediction of uranium pathways in the soil" in Radiochimica Acta, 102, no. 8 (2014):701-710,
https://doi.org/10.1515/ract-2013-2178 .,
conv_694 .

TY  - JOUR
AU  - Mihajlović, Marija
AU  - Perišić, Nebojša
AU  - Pezo, Lato
AU  - Stojanović, Mirjana
AU  - Milojković, Jelena
AU  - Lopičić, Zorica
AU  - Petrović, Marija
PY  - 2014
UR  - https://ritnms.itnms.ac.rs/handle/123456789/315
PB  - Amer Chemical Soc, Washington
T2  - Journal of Agricultural and Food Chemistry
T1  - Utilization of Phosphate Rock from Lisina for Direct Application: Release of Plant Nutrients in the Exchange-Fertilizer Mixtures (vol 62, pg 9965, 2014)
EP  - 10845
IS  - 44
SP  - 10845
VL  - 62
DO  - 10.1021/jf505105q
UR  - conv_713
ER  - 

@article{
author = "Mihajlović, Marija and Perišić, Nebojša and Pezo, Lato and Stojanović, Mirjana and Milojković, Jelena and Lopičić, Zorica and Petrović, Marija",
year = "2014",
publisher = "Amer Chemical Soc, Washington",
journal = "Journal of Agricultural and Food Chemistry",
title = "Utilization of Phosphate Rock from Lisina for Direct Application: Release of Plant Nutrients in the Exchange-Fertilizer Mixtures (vol 62, pg 9965, 2014)",
pages = "10845-10845",
number = "44",
volume = "62",
doi = "10.1021/jf505105q",
url = "conv_713"
}

Mihajlović, M., Perišić, N., Pezo, L., Stojanović, M., Milojković, J., Lopičić, Z.,& Petrović, M.. (2014). Utilization of Phosphate Rock from Lisina for Direct Application: Release of Plant Nutrients in the Exchange-Fertilizer Mixtures (vol 62, pg 9965, 2014). in Journal of Agricultural and Food Chemistry
Amer Chemical Soc, Washington., 62(44), 10845-10845.
https://doi.org/10.1021/jf505105q
conv_713

Mihajlović M, Perišić N, Pezo L, Stojanović M, Milojković J, Lopičić Z, Petrović M. Utilization of Phosphate Rock from Lisina for Direct Application: Release of Plant Nutrients in the Exchange-Fertilizer Mixtures (vol 62, pg 9965, 2014). in Journal of Agricultural and Food Chemistry. 2014;62(44):10845-10845.
doi:10.1021/jf505105q
conv_713 .

Mihajlović, Marija, Perišić, Nebojša, Pezo, Lato, Stojanović, Mirjana, Milojković, Jelena, Lopičić, Zorica, Petrović, Marija, "Utilization of Phosphate Rock from Lisina for Direct Application: Release of Plant Nutrients in the Exchange-Fertilizer Mixtures (vol 62, pg 9965, 2014)" in Journal of Agricultural and Food Chemistry, 62, no. 44 (2014):10845-10845,
https://doi.org/10.1021/jf505105q .,
conv_713 .

TY  - JOUR
AU  - Mihajlović, Marija
AU  - Perišić, Nebojša
AU  - Pezo, Lato
AU  - Stojanović, Mirjana
AU  - Milojković, Jelena
AU  - Lopičić, Zorica
AU  - Petrović, Marija
PY  - 2014
UR  - https://ritnms.itnms.ac.rs/handle/123456789/319
AB  - This study examined the possibility of direct application of phosphate rock (PR) from Lisina deposit, in a mixture with natural clinoptilolite (Cp) and clinoptilolite partially saturated with ammonium ions (NH4Cp). Solution P concentrations of the NH4Cp/PR mixtures were sufficient for plant growth and ranged from 0.36 to 0.82 mg L-1. The median NH4Cp/PR ratio and the longest proposed mixing time had the most positive impact on the P concentration. Solution Ca concentrations of the NH4Cp/PR mixtures were between 112.5 and 700.5 mg L-1, indicating that use of the proposed NH4Cp/PR mixtures solves the potential lack of Ca2+ in the solution, which is typical for substrates of similar composition. Selected artificial neural networks (ANNs) were able to predict experimental variables for a broad range of the process parameters all through assay. Manifold effects of small changes in composition of the mixtures and time on the observed concentrations of nutrients were shown using the sensitivity analysis.
PB  - Amer Chemical Soc, Washington
T2  - Journal of Agricultural and Food Chemistry
T1  - Utilization of Phosphate Rock from Lisina for Direct Application: Release of Plant Nutrients in the Exchange-Fertilizer Mixtures
EP  - 9973
IS  - 41
SP  - 9965
VL  - 62
DO  - 10.1021/jf502704j
UR  - conv_708
ER  - 

@article{
author = "Mihajlović, Marija and Perišić, Nebojša and Pezo, Lato and Stojanović, Mirjana and Milojković, Jelena and Lopičić, Zorica and Petrović, Marija",
year = "2014",
abstract = "This study examined the possibility of direct application of phosphate rock (PR) from Lisina deposit, in a mixture with natural clinoptilolite (Cp) and clinoptilolite partially saturated with ammonium ions (NH4Cp). Solution P concentrations of the NH4Cp/PR mixtures were sufficient for plant growth and ranged from 0.36 to 0.82 mg L-1. The median NH4Cp/PR ratio and the longest proposed mixing time had the most positive impact on the P concentration. Solution Ca concentrations of the NH4Cp/PR mixtures were between 112.5 and 700.5 mg L-1, indicating that use of the proposed NH4Cp/PR mixtures solves the potential lack of Ca2+ in the solution, which is typical for substrates of similar composition. Selected artificial neural networks (ANNs) were able to predict experimental variables for a broad range of the process parameters all through assay. Manifold effects of small changes in composition of the mixtures and time on the observed concentrations of nutrients were shown using the sensitivity analysis.",
publisher = "Amer Chemical Soc, Washington",
journal = "Journal of Agricultural and Food Chemistry",
title = "Utilization of Phosphate Rock from Lisina for Direct Application: Release of Plant Nutrients in the Exchange-Fertilizer Mixtures",
pages = "9973-9965",
number = "41",
volume = "62",
doi = "10.1021/jf502704j",
url = "conv_708"
}

Mihajlović, M., Perišić, N., Pezo, L., Stojanović, M., Milojković, J., Lopičić, Z.,& Petrović, M.. (2014). Utilization of Phosphate Rock from Lisina for Direct Application: Release of Plant Nutrients in the Exchange-Fertilizer Mixtures. in Journal of Agricultural and Food Chemistry
Amer Chemical Soc, Washington., 62(41), 9965-9973.
https://doi.org/10.1021/jf502704j
conv_708

Mihajlović M, Perišić N, Pezo L, Stojanović M, Milojković J, Lopičić Z, Petrović M. Utilization of Phosphate Rock from Lisina for Direct Application: Release of Plant Nutrients in the Exchange-Fertilizer Mixtures. in Journal of Agricultural and Food Chemistry. 2014;62(41):9965-9973.
doi:10.1021/jf502704j
conv_708 .

Mihajlović, Marija, Perišić, Nebojša, Pezo, Lato, Stojanović, Mirjana, Milojković, Jelena, Lopičić, Zorica, Petrović, Marija, "Utilization of Phosphate Rock from Lisina for Direct Application: Release of Plant Nutrients in the Exchange-Fertilizer Mixtures" in Journal of Agricultural and Food Chemistry, 62, no. 41 (2014):9965-9973,
https://doi.org/10.1021/jf502704j .,
conv_708 .

TY  - JOUR
AU  - Mihajlović, Marija
AU  - Perišić, Nebojša
AU  - Pezo, Lato
AU  - Stojanović, Mirjana
AU  - Milojković, Jelena
AU  - Petrović, Marija
AU  - Petrović, Jelena
PY  - 2014
UR  - https://ritnms.itnms.ac.rs/handle/123456789/310
AB  - The application of natural fertilizer mixtures that improve nutrient retention ability of soils has attracted considerable attention in recent years. In addition to rock phosphate (RP), the basic components of these mixtures are zeolites modified with selected cations, such as the ammonium ion. The NH4-zeolite serves as a carrier of nutrients as well as a soil conditioner, and it promotes the RP dissolution in all soil types. The purpose of the present work was to prepare cost-effective NH4-zeolite supplement, using 3 2 full factorial experimental designs, with concentration of modifier and processing time as variables. Saturation processes were carried out on two types of natural zeolites, K-clinoptilolite (K-Cp) and Ca-clinoptilolite (Ca-Cp). The Response Surface Method (RSM) was applied for evaluation of cation exchange, suggesting an effective NH4+ modification of natural zeolite at lower quantities of modifier than commonly found in other studies on the topic. Using Principal Component Analysis (PCA), differences between samples relative to the process variables were clearly outlined and correlated with concentrations of the exchanged cations. The best results were obtained for the K-Cp type modified with 1.5 M solution of ammonium sulfate (at a Cp/NH4+ stochiometric ratio 1: 7.5) for all three processing intervals. By optimizing the modification process parameters, an experimental design of partially saturated NH4-Cp supplement that has the potential to supply all major plant nutrients was proposed.
PB  - Mineralogical Soc, Twickenham
T2  - Clay Minerals
T1  - Optimization of process parameters to obtain NH4-clinoptilolite as a supplement to ecological fertilizer
EP  - 745
IS  - 5
SP  - 735
VL  - 49
DO  - 10.1180/claymin.2014.049.5.09
UR  - conv_727
ER  - 

@article{
author = "Mihajlović, Marija and Perišić, Nebojša and Pezo, Lato and Stojanović, Mirjana and Milojković, Jelena and Petrović, Marija and Petrović, Jelena",
year = "2014",
abstract = "The application of natural fertilizer mixtures that improve nutrient retention ability of soils has attracted considerable attention in recent years. In addition to rock phosphate (RP), the basic components of these mixtures are zeolites modified with selected cations, such as the ammonium ion. The NH4-zeolite serves as a carrier of nutrients as well as a soil conditioner, and it promotes the RP dissolution in all soil types. The purpose of the present work was to prepare cost-effective NH4-zeolite supplement, using 3 2 full factorial experimental designs, with concentration of modifier and processing time as variables. Saturation processes were carried out on two types of natural zeolites, K-clinoptilolite (K-Cp) and Ca-clinoptilolite (Ca-Cp). The Response Surface Method (RSM) was applied for evaluation of cation exchange, suggesting an effective NH4+ modification of natural zeolite at lower quantities of modifier than commonly found in other studies on the topic. Using Principal Component Analysis (PCA), differences between samples relative to the process variables were clearly outlined and correlated with concentrations of the exchanged cations. The best results were obtained for the K-Cp type modified with 1.5 M solution of ammonium sulfate (at a Cp/NH4+ stochiometric ratio 1: 7.5) for all three processing intervals. By optimizing the modification process parameters, an experimental design of partially saturated NH4-Cp supplement that has the potential to supply all major plant nutrients was proposed.",
publisher = "Mineralogical Soc, Twickenham",
journal = "Clay Minerals",
title = "Optimization of process parameters to obtain NH4-clinoptilolite as a supplement to ecological fertilizer",
pages = "745-735",
number = "5",
volume = "49",
doi = "10.1180/claymin.2014.049.5.09",
url = "conv_727"
}

Mihajlović, M., Perišić, N., Pezo, L., Stojanović, M., Milojković, J., Petrović, M.,& Petrović, J.. (2014). Optimization of process parameters to obtain NH4-clinoptilolite as a supplement to ecological fertilizer. in Clay Minerals
Mineralogical Soc, Twickenham., 49(5), 735-745.
https://doi.org/10.1180/claymin.2014.049.5.09
conv_727

Mihajlović M, Perišić N, Pezo L, Stojanović M, Milojković J, Petrović M, Petrović J. Optimization of process parameters to obtain NH4-clinoptilolite as a supplement to ecological fertilizer. in Clay Minerals. 2014;49(5):735-745.
doi:10.1180/claymin.2014.049.5.09
conv_727 .

Mihajlović, Marija, Perišić, Nebojša, Pezo, Lato, Stojanović, Mirjana, Milojković, Jelena, Petrović, Marija, Petrović, Jelena, "Optimization of process parameters to obtain NH4-clinoptilolite as a supplement to ecological fertilizer" in Clay Minerals, 49, no. 5 (2014):735-745,
https://doi.org/10.1180/claymin.2014.049.5.09 .,
conv_727 .