Experimental and theoretical consideration of the factors influencing cationic pollutants retention by seashell waste
Само за регистроване кориснике
2018
Аутори
Egerić, MarijaSmičiklas, Ivana D.
Mraković, Ana Đ.
Jović, Mihajlo D.
Šljivić-Ivanović, Marija Z.
Antanasijević, Davor Z.
Ristić, Mirjana
Чланак у часопису (Објављена верзија)
,
© 2017 Society of Chemical Industry
Метаподаци
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BACKGROUNDSeashell waste (SW) is rich in biogenic calcium carbonate and potentially can substitute geological sources in various applications, such as the separation of heavy metals and radionuclides from contaminated solutions. This study aims to compare SW sorption efficiency towards different chemical species (Cu2+, Zn2+, Pb2+ and Sr2+) and to evaluate the effects of various factors based on the experimental data and modeling approach. RESULTSThe reaction of SW with aqueous metal solutions is a combination of several processes that result in metal retention, Ca2+ release, and changes in pH. SW demonstrates variable selectivity for investigated cations, depending on their concentrations and reaction times. Maximum sorption capacities declined in the order Zn2+ > Pb2+ approximate to Sr2+ > Cu2+. The model based on general regression neural network (GRNN) architecture was developed, which enabled prediction of removal efficiency taking into account the process specific, metal specific ...parameters and their non-linear interactions. Initial concentration and covalent radius of a cation exhibit the highest, while the initial pH the lowest significance. CONCLUSIONEcological problems caused by SW accumulation in coastal areas could be mitigated by mastering technologies for their practical utilization. The results obtained facilitate the understanding of cationic pollutants removal by SW in the range of experimental conditions, while the GRNN approach demonstrates advantages in modeling complex sorption processes. (c) 2017 Society of Chemical Industry
Кључне речи:
biosorption / mathematical modeling / waste treatment / decontamination / green chemistry / heavy metals / waste minimisationИзвор:
Journal of Chemical Technology & Biotechnology, 2018, 93, 5, 1477-1487Финансирање / пројекти:
- Нове технологије за мониторинг и заштиту животног окружења од штетних хемијских супстанци и радијационог оптерећења (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-43009)
DOI: 10.1002/jctb.5516
ISSN: 0268-2575
WoS: 000429714500028
Scopus: 2-s2.0-85040077249
Колекције
Институција/група
VinčaTY - JOUR AU - Egerić, Marija AU - Smičiklas, Ivana D. AU - Mraković, Ana Đ. AU - Jović, Mihajlo D. AU - Šljivić-Ivanović, Marija Z. AU - Antanasijević, Davor Z. AU - Ristić, Mirjana PY - 2018 UR - https://vinar.vin.bg.ac.rs/handle/123456789/7657 AB - BACKGROUNDSeashell waste (SW) is rich in biogenic calcium carbonate and potentially can substitute geological sources in various applications, such as the separation of heavy metals and radionuclides from contaminated solutions. This study aims to compare SW sorption efficiency towards different chemical species (Cu2+, Zn2+, Pb2+ and Sr2+) and to evaluate the effects of various factors based on the experimental data and modeling approach. RESULTSThe reaction of SW with aqueous metal solutions is a combination of several processes that result in metal retention, Ca2+ release, and changes in pH. SW demonstrates variable selectivity for investigated cations, depending on their concentrations and reaction times. Maximum sorption capacities declined in the order Zn2+ > Pb2+ approximate to Sr2+ > Cu2+. The model based on general regression neural network (GRNN) architecture was developed, which enabled prediction of removal efficiency taking into account the process specific, metal specific parameters and their non-linear interactions. Initial concentration and covalent radius of a cation exhibit the highest, while the initial pH the lowest significance. CONCLUSIONEcological problems caused by SW accumulation in coastal areas could be mitigated by mastering technologies for their practical utilization. The results obtained facilitate the understanding of cationic pollutants removal by SW in the range of experimental conditions, while the GRNN approach demonstrates advantages in modeling complex sorption processes. (c) 2017 Society of Chemical Industry T2 - Journal of Chemical Technology & Biotechnology T1 - Experimental and theoretical consideration of the factors influencing cationic pollutants retention by seashell waste VL - 93 IS - 5 SP - 1477 EP - 1487 DO - 10.1002/jctb.5516 ER -
@article{ author = "Egerić, Marija and Smičiklas, Ivana D. and Mraković, Ana Đ. and Jović, Mihajlo D. and Šljivić-Ivanović, Marija Z. and Antanasijević, Davor Z. and Ristić, Mirjana", year = "2018", abstract = "BACKGROUNDSeashell waste (SW) is rich in biogenic calcium carbonate and potentially can substitute geological sources in various applications, such as the separation of heavy metals and radionuclides from contaminated solutions. This study aims to compare SW sorption efficiency towards different chemical species (Cu2+, Zn2+, Pb2+ and Sr2+) and to evaluate the effects of various factors based on the experimental data and modeling approach. RESULTSThe reaction of SW with aqueous metal solutions is a combination of several processes that result in metal retention, Ca2+ release, and changes in pH. SW demonstrates variable selectivity for investigated cations, depending on their concentrations and reaction times. Maximum sorption capacities declined in the order Zn2+ > Pb2+ approximate to Sr2+ > Cu2+. The model based on general regression neural network (GRNN) architecture was developed, which enabled prediction of removal efficiency taking into account the process specific, metal specific parameters and their non-linear interactions. Initial concentration and covalent radius of a cation exhibit the highest, while the initial pH the lowest significance. CONCLUSIONEcological problems caused by SW accumulation in coastal areas could be mitigated by mastering technologies for their practical utilization. The results obtained facilitate the understanding of cationic pollutants removal by SW in the range of experimental conditions, while the GRNN approach demonstrates advantages in modeling complex sorption processes. (c) 2017 Society of Chemical Industry", journal = "Journal of Chemical Technology & Biotechnology", title = "Experimental and theoretical consideration of the factors influencing cationic pollutants retention by seashell waste", volume = "93", number = "5", pages = "1477-1487", doi = "10.1002/jctb.5516" }
Egerić, M., Smičiklas, I. D., Mraković, A. Đ., Jović, M. D., Šljivić-Ivanović, M. Z., Antanasijević, D. Z.,& Ristić, M.. (2018). Experimental and theoretical consideration of the factors influencing cationic pollutants retention by seashell waste. in Journal of Chemical Technology & Biotechnology, 93(5), 1477-1487. https://doi.org/10.1002/jctb.5516
Egerić M, Smičiklas ID, Mraković AĐ, Jović MD, Šljivić-Ivanović MZ, Antanasijević DZ, Ristić M. Experimental and theoretical consideration of the factors influencing cationic pollutants retention by seashell waste. in Journal of Chemical Technology & Biotechnology. 2018;93(5):1477-1487. doi:10.1002/jctb.5516 .
Egerić, Marija, Smičiklas, Ivana D., Mraković, Ana Đ., Jović, Mihajlo D., Šljivić-Ivanović, Marija Z., Antanasijević, Davor Z., Ristić, Mirjana, "Experimental and theoretical consideration of the factors influencing cationic pollutants retention by seashell waste" in Journal of Chemical Technology & Biotechnology, 93, no. 5 (2018):1477-1487, https://doi.org/10.1002/jctb.5516 . .