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Hindawi Publishing Corporation Advances in Physical Chemistry V olume 2010, Article ID 787813,  5 pages doi:10.1155/2010/787813 Research Article Comparison bet ween In ve st iga tional IR and CrystallographicDat a with Comput ati onal Chemistry T ools as V al idat ion of th e Met hods U. C. Abdul Ja leel , 1 M. Rakhil a, 1 and Gee tha Pa rame swa ran 2 1 Cheminformatics division, Malabar Christian College, Calicut 673001, India  2 Department of Chemistry, University of Calicut, India Correspondence should be addressed to U. C. Abdul Jaleel,  [email protected] Received 30 June 2009; Revised 12 December 2009; Accepted 14 March 2010 Academic Editor: Kimihiko Hirao Copyright © 2010 U. C. Abdul Jaleel et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Computational tools, specically molecular mechanical force eld (MM+) and semiempirical (PM3) and density functional methods (DFT) are applied to sets of schi ff  bases and their complexes. The results are compared with experimental data. It is also found that the simulated IR spectra are in consistence with the experimental data. 1. Intr oductio n Pr evio usl y the the ory of tran sit ion-me tal che mis try has lagged behind the computational theory of organic chem- istry because quantitative methods were more complicated [1] .  In recent years computational coordination chemistry is pas sing the inf anc y and gainin g its moment um. The molecular mechanics and quantum mechanical theories are predicting comparatively accurate results. A major place in the comp utatio nal tools parame teriza tion and subs tanti ation is done by evaluating how well the experimental data are reproduced and comparing their correctness to the accuracy needed in the parameterization and substantiation of the particu lar metho d [2] .  As a validation tool, our research group decided to compare the X-ray crystallographic data and experimen tal IR dat a with the mol ecu lar mechanics (MM+) , semi empirical data(PM3 ), and density functi onal metho d (DFT) obtained by variou s mole cular modeling softwares. We selected certain schi ff  bases and complexes for which X ray crysta llograp hic and IR data we re av ail abl e in the literature. One of the selected series of complexes was that of schiff -base ligands containing salicylaldehyde and amino acids. The crystal and IR studies of this compound were published by Sreenivasulu et al. [ 3]. These model studies of the metal complexes had focused upon the binding mode of these ligands. Sree nivas ulu et al. had synth esized and charact erized three Schiff -base ligands: (1)  { [(E)-(2-hydroxyphenyl) methylidene] amino }  me- thanesulfonic acid which is abbreviated as  Figure 1 structure of H 2 Sams, (2) 2-{[(E)- (2-h ydro xyphen yl) meth ylide ne] amino} ethanesulfonic acid which is abbreviated as  Figure 2 structure of H 2 Sae, (3) 2-[(2- hyd roxy benzy l) amino ] ethane sulfo nic acid which abbreviated as  Figure 3 structure of H 2 Sae and their Cu complex es by some experime ntal methods. They gav e obs erve d wa ve numbe rs for the imp ortant inf rare d spectral bands of the ligands and their metal complexes by using IR spectroscopy. They have reported observed X ray crystallographic bond distances and bond angles. X-ra y crys tal stru ctures of comple xe s thu s obtained demonstrated that the schi ff -base ligand acts as a tridentate moiety , coord inati ng throu gh the pheno lato oxygen [ 4], imine nitrogen, and carboxylate oxygen [ 58]. Our group is interested in this series of schi ff -base ligands, specically N-(2-hydroxybenzyl) amino acids, because the exibility of 

Comparison Between Investigational IR and Crystallographic Data With Computational Chemistry Tools as Validation of the Methods_Abdul Jaleel

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