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Dawood Salman A, Alardhi SM, AlJaberi FY, Jalhoom MG, Le PC, Al-Humairi ST, Adelikhah M, Miklós Jakab, Farkas G, Abdulhady Jaber A. Defining the optimal conditions using FFNNs and NARX neural networks for modelling the extraction of Sc from aqueous solution by Cryptand-2.2.1 and Cryptand-2.1.1. Heliyon 2023; 9:e21041. [PMID: 37928005 PMCID: PMC10623173 DOI: 10.1016/j.heliyon.2023.e21041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 10/10/2023] [Accepted: 10/13/2023] [Indexed: 11/07/2023] Open
Abstract
The main aim of this study is to figure out how well cryptand-2.2.1 (C 2.2.1) and cryptand-2.1.1 (C 2.1.1) macrocyclic compounds (MCs) work as novel extractants for scandium (Sc) by using an artificial neural network (ANN) models in MATLAB software. Moreover, C2.2.1 and C2.1.1 have never been evaluated to recover Sc. The independent variables impacting the extraction process (concentration of MC, concentration of Sc, pH, and time), and a nonlinear autoregressive network with exogenous input (NARX) and feed-forward neural network (FFNN) models were used to estimate their optimum values. The greatest obstacle in the selective recovery process of the REEs is the similarity in their physicochemical properties, specifically their ionic radius. The recovery of Sc from the aqueous solution was experimentally evaluated, then the non-linear relationship between those parameters was predictively modeled using (NARX) and (FFNN). To confirm the extraction and stripping efficiency, an atomic absorption spectrophotometer (AAS) was employed. The results of the extraction investigations show that, for the best conditions of 0.008 mol/L MC concentration, 10 min of contact time, pH 2 of the aqueous solution, and 75 mg/L Sc initial concentration, respectively, the C 2.1.1 and C 2.2.1 extractants may reach 99 % of Sc extraction efficiency. Sc was recovered from a multi-element solution of scandium (Sc), yttrium (Y), and lanthanum (La) under these circumstances. Whereas, at a concentration of 0.3 mol/L of hydrochloric acid, the extraction of Sc was 99 %, as opposed to Y 10 % and La 7 %. The Levenberg-Marquardt training algorithm had the best training performance with an mean-squared-error, MSE, of 5.232x10-6 and 6.1387x10-5 for C 2.2.1 and C 2.1.1 respectively. The optimized FFNN architecture of 4-10-1 was constructed for modeling recovery of Sc. The extraction process was well modeled by the FFNN with an R2 of 0.999 for the two MC, indicating that the observed Sc recovery efficiency consistent with the predicted one.
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Affiliation(s)
- Ali Dawood Salman
- Sustainability Solutions Research Lab, University of Pannonia, Egyetem str. 10, H-8200 Veszprem, Hungary
- Department of Chemical and Petroleum Refining Engineering, College of Oil and Gas Engineering, Basra University for Oil and Gas, Iraq
| | - Saja Mohsen Alardhi
- Nanotechnology and advanced material research center, University of Technology- Iraq
| | - Forat Yasir AlJaberi
- Chemical Engineering Department, College of Engineering, Al-Muthanna University, Al-Muthanna, Iraq
| | - Moayyed G. Jalhoom
- Nanotechnology and advanced material research center, University of Technology- Iraq
| | - Phuoc-Cuong Le
- The University of Danang,University of Science and Technology, Danang 550000, Viet Nam
| | | | - Mohammademad Adelikhah
- Institute of Radiochemistry and Radioecology, Research Centre for Biochemical, Environmental and Chemical Engineering, University of Pannonia, 8200 Veszprem, Hungary
| | - Miklós Jakab
- Department of Materials Engineering, Faculty of Engineering, University of Pannonia, 8201 Veszprém, Hungary
| | - Gergely Farkas
- Department of Organic Chemistry, Institute of Environmental Engineering, University of Pannonia, H-8201 Veszprém, P. O. Box 158, Hungary
| | - Alaa Abdulhady Jaber
- Mechanical Engineering Department, University of Technology - Iraq, Baghdad, Iraq
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Ćoćić D, Manaa A, Siegl S, Puchta R, Eldik R. [3.2.1] and [4.1.1] isomers of Lehn's [2.2.2] Cryptand: Prediction of ion selectivity by quantum chemical calculations XV**. Z Anorg Allg Chem 2021. [DOI: 10.1002/zaac.202000452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Dušan Ćoćić
- Inorganic Chemistry Department of Chemistry and Pharmacy University of Erlangen-Nuremberg Egerlandstr. 1 91058 Erlangen Germany
- Central Institute for Scientific Computing (CISC) University of Erlangen-Nuremberg Martensstr. 5a 91058 Erlangen Germany
- Computer Chemistry Center Department of Chemistry and Pharmacy University of Erlangen-Nuremberg Nägelsbachstr. 25 91052 Erlangen Germany
- Department of Chemistry Faculty of Science University of Kragujevac Radoja Domanovića 12, P. O. Box 60 34000 Kragujevac Serbia
| | - Aliya Manaa
- Lothar-von-Faber-Schule Staatliche Fachoberschule Nuremberg Nuremberg Germany
| | - Selina Siegl
- Lothar-von-Faber-Schule Staatliche Fachoberschule Nuremberg Nuremberg Germany
| | - Ralph Puchta
- Inorganic Chemistry Department of Chemistry and Pharmacy University of Erlangen-Nuremberg Egerlandstr. 1 91058 Erlangen Germany
- Central Institute for Scientific Computing (CISC) University of Erlangen-Nuremberg Martensstr. 5a 91058 Erlangen Germany
- Computer Chemistry Center Department of Chemistry and Pharmacy University of Erlangen-Nuremberg Nägelsbachstr. 25 91052 Erlangen Germany
- Lothar-von-Faber-Schule Staatliche Fachoberschule Nuremberg Nuremberg Germany
| | - Rudi Eldik
- Inorganic Chemistry Department of Chemistry and Pharmacy University of Erlangen-Nuremberg Egerlandstr. 1 91058 Erlangen Germany
- Faculty of Chemistry Nicolaus Copernicus University Gagarina 7 87-100 Toruń Poland
- Faculty of Chemistry Jagiellonian University, Kraków Gronostajowa 2 30-087 Krakow Poland
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Gholiee Y, Salehzadeh S. The solvent effect on selectivity of four well-known cryptands and crown ethers toward Na+ and K+ cations; A computational study. J Mol Liq 2020. [DOI: 10.1016/j.molliq.2020.113149] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Brown A, Bunchuay T, Crane CG, White NG, Thompson AL, Beer PD. A Bis-Triazacyclononane Tris-Pyridyl N 9 -Azacryptand "Beer Can" Receptor for Complexation of Alkali Metal and Lead(II) Cations. Chemistry 2018; 24:10434-10442. [PMID: 29668116 DOI: 10.1002/chem.201801300] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Indexed: 11/08/2022]
Abstract
A new bis-triazacyclononane tris-pyridyl N9 -azacryptand ligand is prepared via a convenient one-pot [2+3] condensation reaction between triazacyclononane and 2,6-bis(bromomethyl) pyridine in the presence of M2 CO3 (M=Li, Na, K). The proton, lithium, sodium, potassium and lead(II) complexes of the ligand are characterised in the solid state. Preliminary solution-phase competition experiments indicate that the cryptand ligand preferentially binds lead(II) in the presence of sodium, calcium, potassium and zinc cations in methanol solution.
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Affiliation(s)
- Asha Brown
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Mansfield Road, Oxford, OX1 3TA, UK
| | - Thanthapatra Bunchuay
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Mansfield Road, Oxford, OX1 3TA, UK
| | - Christopher G Crane
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Mansfield Road, Oxford, OX1 3TA, UK
| | - Nicholas G White
- Research School of Chemistry, The Australian National University, Canberra, ACT, Australia
| | - Amber L Thompson
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Mansfield Road, Oxford, OX1 3TA, UK
| | - Paul D Beer
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Mansfield Road, Oxford, OX1 3TA, UK
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Su JW, Burnette RR. First principles investigation of noncovalent complexation: a [2.2.2]-cryptand ion-binding selectivity study. Chemphyschem 2008; 9:1989-96. [PMID: 18792032 DOI: 10.1002/cphc.200800376] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
A first principles methodology, aimed at understanding the roles of molecular conformation and energetics in host-guest binding interactions, is developed and tested on a system that pushes the practical limits of ab initio methods. The binding behavior between the [2.2.2]-cryptand host (4,7,13,16,21,24-hexaoxa-1,10-diaza-bicyclo[8.8.8]hexacosane) and alkali metal cations (Li(+), Na(+), and K(+)) in gas, water, methanol, and acetonitrile is characterized. Hartree-Fock and density functional theory methods are used in concert with crystallographic information to identify gas phase, energy-minimized conformations. Gas phase free energies of binding, with vibrational contributions, are compared to solution-state binding constants through relative binding selectivity analysis. Calculated relative binding free energies qualitatively correlated with solution state experiments only after gas phase metal desolvation is considered. The B3LYP exchange-correlation functional improves theoretical correlations with experimental relative binding free energies. The relevance of gas phase calculations towards understanding binding in condensed phases is discussed. Natural bond orbital methods highlights previously unidentified intramolecular and intermolecular M(+)(222) chemistries, such as an intramolecular n'(O)-->sigma*(CH) hydrogen bond.
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Affiliation(s)
- Joe W Su
- School of Pharmacy, University of Wisconsin, 777 Highland Ave., Madison, WI 53705, USA
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Puchta R, Eldik R. Host–guest complexes of mixed glycol-phenanthroline cryptands: prediction of ion selectivity by quantum chemical calculations IV. J INCL PHENOM MACRO 2008. [DOI: 10.1007/s10847-007-9388-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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