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BY-NC-ND 3.0 license Open Access Published by De Gruyter Open Access April 26, 2013

Reliability of protonation constants of vildagliptin dimers by the regression analysis of pH-titration data

  • Milan Meloun EMAIL logo , Zuzana Ferenčíková , Irena Niesnerová and Tomáš Pekárek
From the journal Open Chemistry

Abstract

Protonation constants of protonated monomers and dimers of the vildagliptin are determined potentiometrically. For the low concentration c L = 3.3 mmol dm−3 the monomers L and LH dominate, while for a higher concentration c L = 6.3 mmol dm−3 the dimers L2H2, L2H3, L2H4 and L2H are mainly present. The algorithm used has little influence on the precision of the formation constants in comparison with the reproducibility of the titration. The mixed protonation constants of vildagliptin dimers Lq Hr at various temperatures are determined using FBSTAC4 and HYPERQUAD regression analysis of the potentiometric titration data. The accuracy of the protonation constants log10 βqr depends on the accuracy of the group parameters. As two group parameters L 0, H T are ill conditioned in a model, their determination is therefore uncertain; both can significantly cause a systematic error in the estimated common parameters log10 βqr . Using various regression diagnostics the goodness-of-fit proves the reliability of all parameter estimates. A rough estimation of thermodynamic enthalpies ΔH 0 (kJ mol−1) and entropies ΔS 0 (J K−1 mol−1) is determined from the temperature variation of protonation constants. The enthalpy shows the protonation process is exothermic, and the entropy indicates that it is spontaneous.

[1] N. Matikainen, S. Manttari, A. Schweizer, A. Ulvestad, D. Mills, B.E. Dunning, J.E. Foley, M.R. Taskinen, Diabetologia 49, 2049 (2006) http://dx.doi.org/10.1007/s00125-006-0340-210.1007/s00125-006-0340-2Search in Google Scholar

[2] I. Brandt, J. Joossens, X. Chen, M.B. Maes, S. Scharpe, I. De Meester, A.M. Lambeir, Biochem. Pharmacol. 70, 134 (2005) http://dx.doi.org/10.1016/j.bcp.2005.04.00910.1016/j.bcp.2005.04.009Search in Google Scholar

[3] A. Mari, W.M. Sallas, Y.L. He, C. Watson, M. Ligueros-Saylan, B.E. Dunning, C.F. Deacon, J.J. Holst, J.E. Foley, J. Clin. Endocrinol. Metab. 90, 4888 (2005) http://dx.doi.org/10.1210/jc.2004-246010.1210/jc.2004-2460Search in Google Scholar

[4] B. F. Burkey, X. Li, L. Bolognese, B. Balkan, M. Mone, M. Russell, T.E. Hughes, P.R. Wang, J. Pharmacol. Exp. Ther. 315, 688 (2005) http://dx.doi.org/10.1124/jpet.105.08706410.1124/jpet.105.087064Search in Google Scholar

[5] S. Ristic, S. Byiers, J. Foley, D. Holmes, Diabetes Obes. Metab. 7, 692 (2005) http://dx.doi.org/10.1111/j.1463-1326.2005.00539.x10.1111/j.1463-1326.2005.00539.xSearch in Google Scholar

[6] B. Ahren, M. Landin-Olsson, P.A. Jansson, M. Svensson, D. Holmes, A. Schweizer, J. Clin. Endocrinol. Metab. 89, 2078 (2004) http://dx.doi.org/10.1210/jc.2003-03190710.1210/jc.2003-031907Search in Google Scholar

[7] R. Mentlein, B. Gallwitz, W.E. Schmidt, Eur. J. Biochem. 214, 829 (1993) http://dx.doi.org/10.1111/j.1432-1033.1993.tb17986.x10.1111/j.1432-1033.1993.tb17986.xSearch in Google Scholar

[8] C. Rigano, M. Grasso, S. Sammartano, Ann. Chim. (Rome) 74, 537 (1984) Search in Google Scholar

[9] C. De Stefano, P. Princi, C. Rigano, S. Sammartano, Ann. Chim. (Rome) 77, 643 (1987) Search in Google Scholar

[10] S. Capone, A. De Robertis, C. De Stefano, S. Sammartano, R. Scarcella, Talanta 34, 593 (1987) http://dx.doi.org/10.1016/0039-9140(87)80198-410.1016/0039-9140(87)80198-4Search in Google Scholar

[11] C. De Stefano, P. Mineo, C. Rigano, S. Sammartano, Ann. Chim. (Rome) 83, 243 (1993) Search in Google Scholar

[12] C. DeStefano, C. Foti, O. Giuffre, P. Mineo, C. Rigano, S. Sammartano, Ann. Chim. (Rome) 86, 257 (1996) Search in Google Scholar

[13] P. Gans, A. Sabatini, A. Vacca, Talanta 43, 1739 (1996) http://dx.doi.org/10.1016/0039-9140(96)01958-310.1016/0039-9140(96)01958-3Search in Google Scholar

[14] M. Meloun, J. Havel, E. Högfeldt, Computation of solution equilibria: a guide to methods in potentiometry, extraction, and spectrophotometry (E. Horwood, Chichester, England, 1988) 10.1016/S0003-2670(00)85305-2Search in Google Scholar

[15] M. Meloun, J. Militký, M. Forina, Chemometrics for analytical chemistry, Volume 2: PC-aided regression and related methods (Ellis Horwood, Chichester, 1994) Search in Google Scholar

[16] M. Meloun, V. Říha, J. Žáček, Chem. Listy 82, 765 (1988), (in Czech) Search in Google Scholar

[17] P. M. May, D. R. Williams, P. W. Linder, R. G. Torrington, Talanta 29, 249 (1982) http://dx.doi.org/10.1016/0039-9140(82)80108-210.1016/0039-9140(82)80108-2Search in Google Scholar

[18] M. Meloun, J. Militký, Statistical Data Anaylsis: A Practical Guide (Woodhead Publishing, New Delhi, India, 2011) http://dx.doi.org/10.1533/978085709720010.1533/9780857097200Search in Google Scholar

[19] A. Halama, B. Kafková, T. Chvojka, WIPO Patent Application WO/2010/022690, 2010.04.04 Search in Google Scholar

[20] S. Winter, J. Bosch, J.P. Serrano, J.J. Soto, United states patent application US 2008/0167479 A1, 2008.07.10 Search in Google Scholar

Published Online: 2013-4-26
Published in Print: 2013-7-1

© 2013 Versita Warsaw

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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