Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann)
This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from an aqueous solution. Various physicochemical analyses such as Fourier transform infrared spectroscopy (FTIR), field-emission scanning electron microscopy (FESEM), carbon, hydrogen, nitrogen, and s...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/81775/1/molecules-25-03263.pdf http://irep.iium.edu.my/81775/7/81775_Modeling%20of%20Cu%28II%29%20adsorption%20from%20an%20aqueous_scopus.pdf http://irep.iium.edu.my/81775/ https://www.mdpi.com/1420-3049/25/14/3263 |
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| Summary: | This research optimized the adsorption performance of rice husk char (RHC4) for copper
(Cu(II)) from an aqueous solution. Various physicochemical analyses such as Fourier transform
infrared spectroscopy (FTIR), field-emission scanning electron microscopy (FESEM), carbon,
hydrogen, nitrogen, and sulfur (CHNS) analysis, Brunauer–Emmett–Teller (BET) surface area
analysis, bulk density (g/mL), ash content (%), pH, and pHZPC were performed to determine the
characteristics of RHC4. The effects of operating variables such as the influences of aqueous pH,
contact time, Cu(II) concentration, and doses of RHC4 on adsorption were studied. The maximum
adsorption was achieved at 120 min of contact time, pH 6, and at 8 g/L of RHC4 dose. The
prediction of percentage Cu(II) adsorption was investigated via an artificial neural network (ANN).
The Fletcher–Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all
of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). The
pseudo-second-order kinetic model fitted well with the experimental data, thus indicating
chemical adsorption. The intraparticle analysis showed that the adsorption process proceeded by
boundary layer adsorption initially and by intraparticle diffusion at the later stage. The Langmuir
and Freundlich isotherm models interpreted well the adsorption capacity and intensity. The
thermodynamic parameters indicated that the adsorption of Cu(II) by RHC4 was spontaneous. The
RHC4 adsorption capacity is comparable to other agricultural material-based adsorbents, making
RHC4 competent for Cu(II) removal from wastewater. |
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