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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Jamshidi, M. Ghaedi, A. M. Goudarzi, A. Hajati, S. Dashtian, K. Ghaedi, M. Alipanahpour, E. |
| Description | Country affiliation: Iran Author Affiliation: Jamshidi M ( Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran.); Ghaedi M ( Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran. Electronic address: m_ghaedi@mail.yu.ac.ir.); Dashtian K ( Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran.); Ghaedi AM ( Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran.); Hajati S ( Physics Department, Yasouj University, Yasouj 75914-35, Iran.); Goudarzi A ( Department of Polymer Engineering, Golestan University, Gorgan 49188-88369, Iran.); Alipanahpour E ( Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran.) |
| Abstract | In this work, central composite design (CCD) combined with response surface methodology (RSM) and desirability function approach (DFA) gives useful information about operational condition and also to obtain useful information about interaction and main effect of variables concerned to simultaneous ultrasound-assisted removal of brilliant green (BG) and eosin B (EB) by zinc sulfide nanoparticles loaded on activated carbon (ZnS-NPs-AC). Spectra overlap between BG and EB dyes was extensively reduced and/or omitted by derivative spectrophotometric method, while multi-layer artificial neural network (ML-ANN) model learned with Levenberg-Marquardt (LM) algorithm was used for building up a predictive model and prediction of the BG and EB removal. The ANN efficiently was able to forecast the simultaneous BG and EB removal that was confirmed by reasonable numerical value i.e. MSE of 0.0021 and R(2) of 0.9589 and MSE of 0.0022 and R(2) of 0.9455 for testing data set, respectively. The results reveal acceptable agreement among experimental data and ANN predicted results. Langmuir as the best model for fitting experimental data relevant to BG and EB removal indicates high, economic and profitable adsorption capacity (258.7 and 222.2 mg g(-1)) that supports and confirms its applicability for wastewater treatment. |
| ISSN | 13861425 |
| Journal | Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy |
| Volume Number | 153 |
| e-ISSN | 18733557 |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2016-01-15 |
| Publisher Place | Great Britain (UK) |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Spectroscopy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Spectroscopy Atomic and Molecular Physics, and Optics Analytical Chemistry Instrumentation |
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