Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Aleksandra A. Perić-Grujić"'
Autor:
KATARINA M. ŠUĆUR, MIRA P. ANIČIĆ, MILICA N. TOMAŠEVIĆ, DAVOR Z. ANTANASIJEVIĆ, ALEKSANDRA A. PERIĆ-GRUJIĆ, MIRJANA DJ. RISTIĆ
Publikováno v:
Journal of the Serbian Chemical Society, Vol 75, Iss 10, Pp 1453-1461 (2010)
Leaves of common deciduous trees: horse chestnut (Aesculus hippocastanum) and linden (Tilia spp.) from three parks within the urban area of Belgrade were studied as biomonitors of trace element (As, V, and Cd) atmospheric pollution. The May–Septemb
Externí odkaz:
https://doaj.org/article/23a3e154183e4c4b94611cdce448d625
Publikováno v:
Journal of the Serbian Chemical Society, Vol 85, Iss 6, Pp 831-844 (2020)
In this paper, the results of decolourisation of Reactive Orange 16 (RO 16), Reactive Blue 19 (RB 19) and Direct Red 28 (DR 28) textile dyes in aqueous solution by plasma needle are presented. Treatment time, feed gas flow rate (1, 4 and 8 dm3 min-1)
Autor:
Marija Vukčević, Katarina Trivunac, Biljana Pejic, Mirjana Ristić, Aleksandra A. Perić-Grujić, Snežana Mihajlović
Publikováno v:
Journal of Natural Fibers
The possibility of using waste cotton and cotton/polyester yarns to remove lead and chromium ions from polluted water was investigated in this work. Structural, morphological, and adsorption properties of yarns were determined by iodine sorption, wat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6302288bb639b48075e834efc3fb53bb
http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4991
http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4991
Autor:
Marija Vukčević, Katarina Trivuna, Aleksandar D. Marinković, Nataša Karić, Aleksandra A. Perić-Grujić, Tijana Stanišić, Maja Đolić, Mirjana Ristić
Publikováno v:
Proceedings of the 34th International Congress on Process Industry.
In this study, a simple and eco-efficient way to prepare cationized modified starch with cationic reactants, such as glycidyltrimethylammonium chloride (GTMAC) and betaine hydrochloride (BHC), without using an organic solvents was developed. The proc
Autor:
Aleksandra A. Perić-Grujić, Tijana Stanišić, Mirjana Ristić, Milica Karanac, Maja Đolić, Nataša Karić
Publikováno v:
Proceedings of the 34th International Congress on Process Industry.
The aim of this research is to examine the efficiency of raw mineral materials that possess good adsorption and techno-economic properties applicable in real systems for the removal of heavy metal ions, primarily lead and arsenic. The adsorption stud
Autor:
Dragana Mitić-Ćulafić, Jovana S. Vuković, Aleksandra A. Perić-Grujić, Simonida Lj. Tomić, Biljana Dj. Božić Nedeljković
Publikováno v:
Macromolecular Research
Since the management of infections becomes prior global healthcare issue, the "post antibiotic era" requires innovative and interdisciplinary approach. As an alternative to widespread and, nowdays mostly uneffective, antibiotic treatment of infection
Autor:
Ana Janković, Katarina Nešović, Maja Vukašinović-Sekulić, Vesna Mišković-Stanković, Tamara Radetić, Soo-Jin Park, Kyong Yop Rhee, Ljiljana Živković, Aleksandra A. Perić-Grujić
Publikováno v:
Journal of Industrial and Engineering Chemistry
Silver nanoparticles (AgNPs) were synthesized by in situ electrochemical reduction of Ag+ ions in poly(vinyl alcohol)/chitosan/graphene (PVA/CHI/Gr) hydrogel matrices with different concentrations of chitosan. The physicochemical properties of nanoco
Autor:
Viktor Pocajt, Aleksandra A. Perić-Grujić, Davor Antanasijević, Mirjana Ristić, Darinka Radojević
Publikováno v:
Atmospheric Pollution Research
In recent decades, artificial neural networks (ANNs) have been used for the prediction of concentration of air pollutants in urban areas. Beside meteorological variables, periodic parameters, such as hour of the day or month of the year, have been fr
Autor:
Aleksandra A. Perić-Grujić, Tatjana Mitrović, Mirjana Ristić, Davor Antanasijević, Saša Lazović
Publikováno v:
Science of the Total Environment
Rationalization of water quality monitoring stations nowadays is applied in many countries. In some cases, missing data from abandoned/inactive stations, spatial and temporal, could be very important, hence the use of artificial neural networks (ANNs
Publikováno v:
Neural Computing & Applications
In this study, a self-organizing network-based monitoring location similarity index (LSI) was coupled with Ward neural networks (WNNs) with the aim to create a more accurate, but less complex, multiple sites model for the prediction of dissolved oxyg