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Matrix analysis of corrosion inhibition phenomena: Theoretical technique for inhibitor prediction and pre-selection | ||
Journal of the Iranian Chemical Research | ||
مقاله 1، دوره 2، شماره 2، شهریور 2009، صفحه 79-86 اصل مقاله (61.13 K) | ||
نویسندگان | ||
Mohsen Lashgari* 1؛ Mohammad-Reza Arshadi2؛ Gholam-Abbas Parsafar2 | ||
1Department of Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), P.O. Box 45195- 1159, Zanjan, Iran | ||
2Department of Chemistry, Sharif University of Technology, P.O. Box 11365-9516, Tehran, Iran | ||
چکیده | ||
Matrix Analysis of Corrosion Inhibition Phenomena (MACIP), in which an inhibitor is considered as a point in a multi-dimensional virtual efficiency space, was performed on some pyridine derivatives. The needed molecular parameters such as HOMO and LUMO energy levels, charge densities on hetero atom, dipole moment, heat of formation, and total energy values were obtained by means of semi-empirical quantum chemical methods; such as the AM1, MNDO, MINDO/3, and PM3. The obtained results for 3,5- dimethyl pyridine and 2,4- dimethyl pyridine reveal out the fact that the last molecule is a better corrosion inhibitor as indicated in literature. | ||
کلیدواژهها | ||
Pyridine corrosion inhibitors؛ Isolated inhibitor model؛ Matrix analysis؛ Virtual efficiency space؛ Semi-empirical methods | ||
مراجع | ||
[1] H.H. Uhlig, R.W. Revie, Corrosion and Corrosion Control, 3rd Edition, John Wiley & Sons, New York, 1985. [2] V.S. Sastri, Corrosion Inhibitors; Principales and application, John Wiley & Sons, New York, 1998. [3] J. Vosta, J. Eliasek, Corros. Sci. 11 (1971) 223. [4] J.M. Costa, J.M. Lluch, Corros. Sci. 24 (1984) 929. [5] V.S. Sastri, J.R. Perumareddi, Corrosion (Houston) 53 (1997) 617. [6] C. Ogretir, B. Mihici, G. Bereket, J. Mol. Struct. (Theochem) 488 (1999) 223. [7] M. Lashgari, M.R. Arshadi, Gh.A Parsafar, Corrosion (Houston) 61 (2005) 778. [8] M. Lashgari, M.R. Arshadi, V.S. Sastri, J. Electrochem. Soc. 154 (2007) 93. [9] R.C. Ayers, N. Hackerman, J. Electrochem. Soc. 110 (1963) 507. [10] A.J. Miller, Subset selection in regression, Monographs on Statistics and Applied Probabilities, Vol. 40, Chapman and Hall, London, 1990. [11] I.N. Levine, Quantum Chemistry, 4th Edition, Prentice-Hall, New Jersey, 1991. | ||
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