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1
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Application of genetic algorithms to determine heavy metal ions sorption dynamics on clinoptilolite bed

100%
Tomczak E., Kamiński W.
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vol. 33
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issue 1
103-116
EN
In the last decade a growing interest was observed in low-cost adsorbents for heavy metal ions. Clinoptilolite is a mineral sorbent extracted in Poland that is used to remove heavy metal ions from diluted solutions. The experiments in this study were carried out in a laboratory column for multicomponent water solutions of heavy metal ions, i.e. Cu(II), Zn(II) and Ni(II). A mathematical model to calculate the metals' concentration of water solution at the column outlet and the concentration of adsorbed substances in the adsorbent was proposed. It enables determination of breakthrough curves for different process conditions and column dimensions. The model of process dynamics in the column took into account the specificity of sorption described by the Elovich equation (for chemical sorption and ion exchange). Identification of the column dynamics consisted in finding model coefficients β, KE and Deff and comparing the calculated values with experimental data. Searching for coefficients which identify the column operation can involve the use of optimisation methods to find the area of feasible solutions in order to obtain a global extremum. For that purpose our own procedure of genetic algorithm is applied in the study.
2
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Dietary supplementation with mannan oligosaccharide and clinoptilolite modulates innate and adaptive immune parameters of weaned pigs

88%
Valpotić H., Žura Žaja I., Samardžija M., Habrun B., Ostović M., Duricić D., Maćesić N., Mikulec Z., Kočila P., Sobiech P., Valpotić I., Vince S.
Polish Journal of Veterinary Sciences
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2018
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vol. 21
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issue 1
3
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Application of genetic algorithms to determine heavy metal ions sorption dynamics on clinoptilolite bed

88%
Tomczak E., Kamiński W.
Chemical and Process Engineering
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2012
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issue 1
4
Content available remote

The effect of electron irradiation on the optical properties of the natural armenian zeolite-clinoptilolite

75%
Yeritsyan H., Harutiunian V., Gevorkyan V., Grigoryan N., Hakhverdyan E., Nikoghosyan S., Sahakyan A., Gevorgyan R., Sargisyan H., Keheyan Y.
Open Physics
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2005
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vol. 3
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issue 4
623-635
EN
Infrared (IR) absorption and luminescence in chemically and radiation-modified natural Armenian Zeolite (clinoptilolite) samples have been studied. The luminescence was studied in 390–450 nm and 620–710 nm wavelength bands, and the IR measurements were carried out in the 400–5400 cm−1 range. It is shown that the luminescence intensity depends on the content of pure clinoptilolite in the samples and, probably on the distribution of “passive” luminescence centers over Si and Al sites that became “active” under radiation or chemical treatment. The samples of electron irradiated clinoptilolite have higher luminescence intensity than the chemically and thermally treated ones. A decrease in the intensity of IR absorption bands at 3550 cm−1 and 3650 cm−1 was found after irradiation.
5
Content available remote

Application of ANN to the Sorption Equilibrium Modelling of Heavy Metal Ions on Clinoptilolite

63%
Tomczak E., Kaminski W.
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vol. 19
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issue 2
227-237
EN
The latest achievements in the field of mathematical modelling include the application of artificial neural networks (ANN). A growing interest in the ANN is confirmed by the number of publications devoted to the applicability of ANN in chemical, process and environmental engineering. A recent dynamic development of ANN provided an efficient and universal tool that is used to solve many tasks, including modelling, approximation and identification of objects. The initial step of applying the network to a given process consists in the determination of weights of the proposed neural network structure. This is performed on the basis of training data. A network that is properly trained allows correct information to be obtained on the basis of other data which have not been used in the network training. In most cases the network training is performed on the basis of a known mathematical model. However, the training of a network can be also performed using experimental data. In this paper, the sorption isotherms were predicted by means of a multilayer perceptron (MLP). Calculations were made using a training program written in Matlab, which took advantage of the Lavenberg-Marquardt procedure. In the last decade a growing interest is observed in inexpensive and very cheap adsorbents to remove heavy metal ions. Clinoptilolite is the mineral sorbent extracted in Poland used to remove heavy metal ions from diluted solutions. Equilibrium experiments were carried out to estimate sorptivity of a clinoptilolite and its selectivity towards Cu(II), Zn(II) and Ni(II) ions for multicomponent solution. Calculations with the use of MLP enabled description of sorption isotherms for one, two and three ions which were present at the same time in the solution. The network also enabled an analysis of sorption of the single ion, taking into account the effect of its concentration.
PL
W ostatnich dekadach obserwuje się rosnące zainteresowanie zastosowaniem tanich adsorbentów w celu usuwania zanieczyszczeń z roztworów wodnych. Klinoptylolit jest sorbentem mineralnym wydobywanym w Polsce, stosowanym do usuwania jonów metali ciężkich z rozcieńczonych roztworów. Eksperymenty równowagi przeprowadzono w celu oszacowania efektywności sorpcji klinoptylolitu i jego selektywności wobec Cu(II), Zn(II) i Ni(II) w roztworach wieloskładnikowych. SSN umożliwiają obliczenia izoterm sorpcji dla jednego, dwóch lub trzech jonów jednocześnie obecnych w roztworze. W pracy izotermy sorpcji przewidywano za pomocą wielowarstwowego perceptronu (MLP). Obliczenia prowadzono za pomocą własnych algorytmów zgodnie z procedurą Matlaba z zastosowaniem metody uczenia Lavenberga-Marquardta.
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