Corrosion Inhibition of Aluminium in Gas and Acid Media by Some Chalcone-Based N-(3-Aminopropyl)Imidazoles: TD-DFT-Based FMO, Conceptual DFT, QTAIM and EDA Studies
The efficacy and mode of action of five chalcone-based imidazole derivatives as corrosion inhibitors of aluminium metal in gas-phase and acidic medium have been investigated herein via quantum chemical calculations. Dispersion-corrected DFT (DFT-D3) and time-dependent DFT (TD-DFT) calculations were performed at PBE0/def2-TZVP//PBEh-3c and CAM-B3LYP/def2- TZVP levels of theory, respectively. Conceptual DFT, the quantum theory of atoms-in-molecules (QTAIM) and local energy decomposition (LED) analyses have been performed. The LED analysis was performed at the coupled-cluster singles and doubles with perturbative triples (CCSD(T))/def2-SVP level of theory. Frontier molecular orbital energy gaps calculated using the TD-DFT method are found to lie in the range 3.574 - 4.444 eV, indicative of good adsorption and corrosion inhibition efficacies of the investigated molecules. The interactions between aluminium and the inhibitor molecules studied are found to be energetically favorable, owing to negative computed interaction energy values. Furthermore, QTAIM analysis revealed metal-carbon, metal-oxygen and metal-nitrogen interactions in the inhibitor-aluminium complexes, which are predominantly electrostatic in character, according to LED analysis results. Calculated proton affinities (PAs) have revealed the anticorrosion potentials of the investigated inhibitors in acidic medium, with a noticeable dependency on temperature within the range 273.15 - 343.15 K.
References
[1]
Rani, B.E.A. and Basu, B.B.J. (2012) Green Inhibitors for Corrosion Protection of Metals and Alloys: An Overview. International Journal of Corrosion, 2012, Article ID: 380217. https://doi.org/10.1155/2012/380217
[2]
Fang, J. and Li, J. (2002) Quantum Chemistry Study on the Relationship between Molecular Structure and Corrosion Inhibition Efficiency of Amides. Journal of Molecular Structure, 593, 179-185. https://doi.org/10.1016/S0166-1280(02)00316-0
[3]
Salim, M.K., Ghassab, M.A. and Nozha, M.A. (2016) DFT Calculations on Corrosion Inhibition of Aluminium by Some Carbohydrates. International Journal of Biochemical Research Reviews, 14, 1-7. https://doi.org/10.9734/IJBCRR/2016/29288
[4]
Kolawole, O.A. and Banjo, S. (2018) Theoretical Studies of Anti-Corrosion Properties of Triphenylimidazole Derivatives in Corrosion Inhibition of Carbon Steel in Acidic Media via DFT Approach. Analytical and Bioanalytical Electrochemistry, 10, 136-146.
[5]
Beda, R.H.B., Niamien, P.M., Bilé, E.B.A. and Trokourey, A. (2017) Inhibition of Aluminium Corrosion in 1.0M HCl by Caffeine: Experimental and DFT Studies. Advances in Chemistry, 2017, Article ID: 6975248. https://doi.org/10.1155/2017/6975248
[6]
Singh, P., Anand, A. and Kumar, V. (2014) Recent Developments in Biological Activities of Chalcones: A Mini Review. European Journal of Medicinal Chemistry, 85, 758-777. https://doi.org/10.1016/j.ejmech.2014.08.033
[7]
Sirsat, S.B., Halikar, N.K., Pund, M.M. and Vartale, S.P. (2012) Synthesis and Biological Screening of Some Novel Hetero-Aryl Chalcone and Their Complexes. Research Journal of Pharmaceutical, Biological and Chemical Sciences, 3, 240-248.
[8]
Quraishi, M.A., Chauhan, D.S. and Saji, V.S. (2020) Computational Methods of Inhibitor Evaluation. In: Quraishi, M.A., Chauhan, D.S. and Saji, V.S., Eds., Heterocyclic Organic Corrosion Inhibitors, Elsevier, Amsterdam, 59-86. https://doi.org/10.1016/B978-0-12-818558-2.00003-5
[9]
Obot, I.B., Haruna, K. and Saleh, T.A. (2018) Atomistic Simulation: A Unique and Powerful Computational Tool for Corrosion Inhibition Research. Arabian Journal of Science and Engineering, 44, 1-32. https://doi.org/10.1007/s13369-018-3605-4
[10]
Xu, B., Yang, W.Z., Liu, Y., Yin, X.S., Gong, W.N. and Chen, Y.Z. (2014) Experimental and Theoretical Evaluation of Two Pyridinecarboxaldehyde Thiosemicarbazone Compounds as Corrosion Inhibitors for Mild Steel in Hydrochloric Acid Solution. Corrosion Science, 78, 260-268. https://doi.org/10.1016/j.corsci.2013.10.007
[11]
Zhang, Z., Tian, N.C., Zhang, W.N., Huang, X.D., Ruan, L. and Wu, L. (2016) Inhibition of Carbon Steel Corrosion in Phase-Change Materials Solution by Methionine and Proline. Corrosion Science, 111, 675-689. https://doi.org/10.1016/j.corsci.2016.06.005
[12]
Singh, P., Ebenso, E.E., Olasunkanmi, L.O., Obot, I. and Quraishi, M. (2016) Electrochemical, Theoretical, and Surface Morphological Studies of Corrosion Inhibition Effect of Green Naphthyridine Derivatives on Mild Steel in Hydrochloric Acid. Journal of Physical. Chemistry C, 120, 3408-3419. https://doi.org/10.1021/acs.jpcc.5b11901
[13]
Wang, D.P., Yang, D., Zhang, D.Q., Li, K., Gao, L.X. and Lin, T. (2015) Electrochemical and DFT Studies of Quinoline Derivatives on Corrosion Inhibition of AA5052 Aluminium Alloy in NaCl Solution. Applied Surface Science, 357, 2176-2183. https://doi.org/10.1016/j.apsusc.2015.09.206
[14]
Singh, A., Ansari, K.R., Haque, J., Dohare, P., Lgaz, H., Salghi, R., et al. (2018) Effect of Electron Donating Functional Groups on Corrosion Inhibition of Mild Steel in Hydrochloric Acid: Experimental and Quantum Chemical Study. Journal of Taiwan Institute of Chemical Engineers, 82, 233-251. https://doi.org/10.1016/j.jtice.2017.09.021
[15]
Obot, I.B., Ebenso, E.E. and Dao, D.Q. (2018) Editorial: Discovery of Novel Molecules for Corrosion Protection Using Computational Chemistry. Frontiers in Chemistry, 6, 277. https://doi.org/10.3389/fchem.2018.00277
[16]
Neese, F. (2012) The ORCA Program System. Wiley Interdisciplinary Reviews: Computational Molecular Science, 2, 73-78. https://doi.org/10.1002/wcms.81
[17]
Hanwell, M.D., Curtis, D.E., Lonie, D.C., Vandermeersch, T., Zurek, E. and Hutchison, G.R. (2012) Avogadro: An Advanced Semantic Chemical Editor, Visualization, and Analysis Platform. Journal of Cheminformatics, 4, Article ID: 17. https://doi.org/10.1186/1758-2946-4-17
[18]
Grimme, S., Brandenburg, J.G., Bannwarth, C. and Hansen, A. (2015) Consistent Structures and Interactions by Density Functional Theory with Small Atomic Orbital Basis Sets. Journal of Chemical Physics, 143, Article ID: 054107. https://doi.org/10.1063/1.4927476
[19]
Kruse, H. and Grimme, S. (2012) A Geometrical Correction for the Inter- and Intra-Molecular Basis Set Superposition Error in Hartree-Fock and Density Functional Theory Calculations for Large Systems. Journal of Chemical Physics, 136, Article ID: 154101. https://doi.org/10.1063/1.3700154
[20]
Grimme, S., Ehrlich, S. and Goerigk, L. (2011) Effect of the Damping Function in Dispersion Corrected Density Functional Theory. Journal of Computational Chemistry, 32, 1456-1465. https://doi.org/10.1002/jcc.21759
[21]
Altun, A., Saitow, M., Neese, F. and Bistoni, G. (2019) Local Energy Decomposition of Open-Shell Molecular Systems in the Domain-Based Local Pair Natural Orbital Coupled Cluster Framework. Journal of Chemical Theory and Computation, 15, 1616-1632. https://doi.org/10.1021/acs.jctc.8b01145
[22]
Schneider, W.B., Bistoni, G., Sparta, M., Saitow, M., Riplinger, C., Auer, A.A. and Neese, F. (2016) Decomposition of Intermolecular Interaction Energies within the Local Pair Natural Orbital Coupled Cluster Framework. Journal of Chemical Theory and Computation, 12, 4778-4792. https://doi.org/10.1021/acs.jctc.6b00523
[23]
Neese, F. (2003) An Improvement of the Resolution of the Identity Approximation for the Calculation of the Coulomb Matrix. Journal of Computational Chemistry, 24, 1740-1747. https://doi.org/10.1002/jcc.10318
[24]
Neese, F. (2009) Prediction of Molecular Properties and Molecular Spectroscopy with Density Functional Theory: From Fundamental Theory to Exchange-Coupling. Coordination Chemistry Reviews, 253, 526-563. https://doi.org/10.1016/j.ccr.2008.05.014
[25]
Chattaraj, P.K., Giri, S. and Duley, S. (2011) Update 2 of: Electrophilicity Index. Chemical Reviews, 111, PR43-PR75. https://doi.org/10.1021/cr100149p
[26]
Yang, W. and Mortier, W.J. (1986) The Use of Global and Local Molecular Parameters for the Analysis of the Gas-Phase Basicity of Amines. Journal of the American Chemical Society, 108, 5708-5711. https://doi.org/10.1021/ja00279a008
[27]
Pérez, P., Domingo, L.R. and Aizman, A. (2007) The Electrophilicity Index in Organic Chemistry. In: Toro-Labbe, A., Ed., Theoretical Aspects of Chemical Reactivity, Vol. 19, Elsevier, Amsterdam, 139-201. https://doi.org/10.1016/S1380-7323(07)80010-0
[28]
Lukovit, I., Kalman, E. and Zucchi, F. (2001) Corrosion Inhibitors-Correlation between Electronic Structure and Efficiency. Corrosion, 57, 3-8. https://doi.org/10.5006/1.3290328
[29]
Lesar, A. and Milošev, I. (2009) Density Functional Study of the Corrosion Inhibition Properties of 1,2,4-triazole and Its Amino Derivatives. Chemical Physics Letters, 483, 198-203. https://doi.org/10.1016/j.cplett.2009.10.082
[30]
Kokalj, A. and Kovacevic, N. (2011) On the Consistent Use of Electrophilicity Index and HSAB-Based Electron Transfer and Its Associated Change of Energy Parameters. Chemical Physics Letters, 507, 181-184. https://doi.org/10.1016/j.cplett.2011.03.045
[31]
Barone, V. and Cossi, M. (1998) Quantum Calculation of Molecular Energies and Energy Gradients in Solution by a Conductor Solvent Model. Journal of Physical Chemistry A, 102, 1995-2001. https://doi.org/10.1021/jp9716997
[32]
Sangalli, D., Ferretti, A., Miranda, H., Attaccalite, C., Marri, I., Cannuccia, E., Melo, P., Marsili, M., Paleari, F., Marrazzo, A., Prandini, G., Bonfà, P., Atambo, M.O., Affinito, M. P., Molina-Sánchez, A., Hogan, C., Grüning, M., Varsano, D. and Marini, A.F. (2019) Many-Body Perturbation Theory Calculations Using the Yambo Code. Journal of Physics: Condensed Matter, 31, Article ID: 325902. https://doi.org/10.1088/1361-648X/ab15d0
[33]
Zhang, G. and Musgrave, C.B. (2007) Comparison of DFT Methods for Molecular Orbital Eigenvalue Calculations. Journal of Physical Chemistry A, 111, 1554-1561. https://doi.org/10.1021/jp061633o
[34]
Adamo, C. and Jacquemin, D. (2013) The Calculations of Excited-State Properties with Time-Dependent Density Functional Theory. Chemical Society Reviews, 42, 845-856. https://doi.org/10.1039/C2CS35394F
[35]
Costa, D., Ribeiro, T., Cornette, P. and Marcus, P. (2016) DFT Modeling of Corrosion Inhibition by Organic Molecules: Carboxylates as Inhibitors of Aluminium Corrosion. Journal of Physical Chemistry C, 120, 28607-28616. https://doi.org/10.1021/acs.jpcc.6b09578
[36]
Lien, E.J., Guo, Z.R., Li, R.R. and Su, C.T. (1982) Use of Dipole Moment as a Parameter in Drug-Receptor Interaction and Quantitative Structure-Activity Relationship Studies. Journal of Pharmaceutical Science, 71, 641-655. https://doi.org/10.1002/jps.2600710611
[37]
Gomez, B., Likhanova, N.V., Dominguez-Aguilar, M.A., Martınez-Palou, R., Vela, A. and Gazquez, J.L. (2006) Quantum Chemical Study of the Inhibitive Properties of 2-Pyridyl-Azoles. Journal of Physical Chemistry B, 110, 8928-8934. https://doi.org/10.1021/jp057143y
[38]
Guo, L., Safi, Z.S., Kaya, S., Shi, W., Tüzün, B., Altunay, N. and Kaya C. (2018) Anticorrosive Effects of Some Thiophene Derivatives Against the Corrosion of Iron: A Computational Study. Frontiers in Chemistry, 6, 155. https://doi.org/10.3389/fchem.2018.00155
[39]
Kalanithi, M., Rajarajan, M., Tharmaraj, P. and Sheela, C.D. (2012) Spectral, Biological Screening of Metal Chelates of Chalcone Based Schiff Bases of N-(3- aminopropyl) Imidazole. Spectrochimica Acta Part A, 87, 155-162. https://doi.org/10.1016/j.saa.2011.11.031
[40]
Canneaux, S., Bohr, F. and Henon, E. (2014) KiSThelP: A Program to Predict Thermodynamic Properties and Rate Constants from Quantum Chemistry Results. Journal of Computational Chemistry, 35, 82-93. https://doi.org/10.1002/jcc.23470
[41]
Niepötter, B., Herbst-Irmer, R., Kratzert, D., Prinson, P.S., Mondal, K.C., Roesky, H.W., Jerabek, P., Frenking, G. and Stalke, D. (2014) Experimental Charge Density Study of a Silylone. Angewandte Chemie International Edition, 53, 2766-2770. https://doi.org/10.1002/anie.201308609
[42]
Nkungli, K.N. and Ghogomu, N.J. (2017) Theoretical Analysis of the Binding of iron (III) Protoporphyrin IX to 4 Methoxyacetophenone Thiosemicarbazone via DFT-D3, MEP, QTAIM, NCI, ELF, and LOL Studies. Journal of Molecular Modeling, 23, Article ID: 200. https://doi.org/10.1007/s00894-017-3370-4
[43]
Cremer, D. and Kraka, E. (1985) Theoretical Determination of Molecular Structure and Conformation. 15. Three-Membered Rings: Bent Bonds, Ring Strain, and Surface Delocalization. Journal of the American Chemical Society, 107, 3800-3810. https://doi.org/10.1021/ja00299a009
[44]
Bayat, M., Yaghoobi, F., Salehzadeh, S. and Hokmi, S. (2011) A Theoretical Study on the Interaction of [Al(H2O)6]3+ and [Mg(H2O)6]2+ Cations with Fullerene (C60), Coronene and Benzene π-Systems. Polyhedron, 30, 2809-2814. https://doi.org/10.1016/j.poly.2011.08.017
[45]
Espinosa, E., Molins, E. and Lecomte, C. (1998) Hydrogen Bond Strength Revealed by Topological Analyses of Experimentally Observed Electron Densities. Chemical Physics Letters, 285, 170-173. https://doi.org/10.1016/S0009-2614(98)00036-0
Melin, J., Ayers, P.W. and Ortiz, J.V. (2007) Removing Electrons Can Increase the Electron Density: A Computational Study of Negative Fukui Functions. Journal of Physical Chemistry A, 111, 10017-10019. https://doi.org/10.1021/jp075573d
[48]
Bartmess, J.E. (1994) Thermodynamics of the Electron and the Proton. Journal of Physical Chemistry, 98, 6420-6424. https://doi.org/10.1021/j100076a029
[49]
Marenich, A.V., Cramer, C.J. and Truhlar, D.G. (2009) Universal Solvation Model Based on Solute Electron Density and on a Continuum Model of the Solvent Defined by the Bulk Dielectric Constant and Atomic Surface Tensions. Journal of Physical Chemistry B, 113, 6378-6396. https://doi.org/10.1021/jp810292n
[50]
Guan, D., Lui, R. and Matthews, S. (2020) LogP Prediction Performance with the SMD Solvation Model and the M06 Density Functional Family for SAMPL6 Blind Prediction Challenge Molecules. Journal of Computer-Aided Molecular Design, 34, 511-522. https://doi.org/10.1007/s10822-020-00278-1