versión On-line ISSN 0717-9707
J. Chil. Chem. Soc. vol.57 no.1 Concepción mar. 2012
J. Chil. Chem. Soc, 57, No 1 (2012); págs.: 1054-1057
EVALUATION OF PROTONATION CONSTANTS OF MERCAPTOSUCCINIC ACID IN AQUEOUS SOLUTIONS OF PROPYLENE GLYCOL AND DIOXAN
MEKONEN TIRFU ZEKARIAS and GOLLAPALLI NAGESWARA RAO*
School of Chemistry, Andhra University, Visakhapatnam-530003, India. * e-mail: email@example.com
The protonation constants values of mercaptosuccinic acid were determined in propylene glycol- and dioxan-water mixtures (0-60% v/v) at 303.0 K at an ionic strength of 0.16 M using pH-metric technique. The protonation constants were calculated with the computer program MINIQUAD75 and selection of the best fit chemical models was based on the statistical parameters. The log K values were found to increase with increase of the organic solvent content. The linear variations of the protonation constants with the reciprocal of the dielectric constant of the medium have been attributed to the dominance of electrostatic forces. Distribution of species, protonation equilibria and effect of influential parameters on the protonation constants have also been presented.
Keywords: Mercaptosuccinic acid, propylene glycol, dioxan, protonation constant, dielectric constant.
Mercaptosuccinic acid (MSA) or thiomalic acid (HOOC-CH(SH)-CH2-COOH) is a dicarboxylic acid containing a thiol functional group (-SH group) instead of an -OH group in malic acid.1 It is an important organic compound with multifunctional intermediate in organic synthesis. It is widely used in the synthesis of various biologically active sulfur containing compounds such as the antileukemic spiro[indoline-3,2'-thiazolidine]-2,4'-diones,2 and the antimicrobial3,4 and antitubercular 4-thiazolidinones. It is also used as a building block in the synthesis of novel polyanionic inhibitors of human immunodeficiency virus and other viruses,5 and as a starting material in the synthesis of isocysteine, an important non-proteinogenic amino acid in a potent peptide inhibitor of stromelysin.6 In addition, sodium salt of the anionic Au(I) complex of 2-mercaptosuccinic acid is an effective antiarthritic drug.7-10 MSA is widely applied in industry and technology as corrosion inhibitor, electrolyte for electroplating bath, and components of bleach-fixing baths for photographic films and as active materials for depilatories and hair straightening.11
MSA is a tridentate ligand which has the ability to form strong complexes with many metal ions in natural environment and within cells12 and it has three replaceable hydrogen ions (two from the carboxylic and one from the sulfhydryl functional groups). The determination of protonation constants of MSA is important in understanding its physico-chemical behavior and its interaction with metals under low dielectric constants in organic solvent-water mixtures because it is known that such mixed solvents produce a solvent with quite different properties, both, physically (dielectric, density and viscosity) and chemically (acid-base and donor-acceptor properties) and provide a better model for in vivo reactions.13,14
In this paper, the protonation constants of mercaptosuccinic acid have been determined pH-metrically in aqueous solutions containing propylene glycol (PG) and dioxan (DOX), which are binary mixtures used as a solvent frequently in pharmaceutical industry and biochemistry.
1.1 Chemicals and Standard Solutions
All the chemicals used in this investigation were of Analytical Reagent grade purity. Triple-distilled deionized water was used for the preparation of all the solutions. 0.05 M Solution of mercaptosuccinic acid (Acros Organic, USA) was prepared by maintaining 0.05 M nitric acid concentration to increase the solubility. 1,2-propanediol and 1,4-dioxan (Merck, India) were used as received. 0.2 M nitric acid (Merck, India) solution was prepared. 2.0 M Sodium nitrate (Merck, India) was prepared to maintain the ionic strength in the titrand. 0.4 M Sodium hydroxide (Merck, India) was used as titrant.
The acid and base solutions were standardized by standard methods. Thus, the concentration of the alkali was determined by titrating it with standard oxalic acid and potassium hydrogen phthalate solutions, while the normality of nitric acid was determined using standardized sodium hydroxide and the primary standard borax solutions. In assessing the errors that might have crept into the determination of the concentrations, the data were subjected to analysis of variance of one way classification (ANOVA) using the computer program COST.15 The concentration of the carbonate-free sodium hydroxide solution was determined by titrating it against nitric acid solution using the Gran plot method.16
1.2 Alkalimetric Titrations
The pH measurements of proton-ligand system were carried out in aqueous media containing varying compositions of organic solvent (propylene glycol or dioxan) in the range of 0-60% v/v maintaining an ionic strength of 0.16 M with sodium nitrate at 303.0 ± 0.1 K using a Digital pH meter MK-VI type (readability 0.01) with mechanical stirring carried by a teflon stirrer. The pH metric titration assembly consisted of a double walled spoutless pyrex glass vessel of 100 ml capacity fitted with a perspex lid through which the glass combination pH electrode, gas inlet-outlet tubes and burette tip were admitted. Water from a thermostat was pumped at constant rate through the annular space between the walls of the titration vessel. The titrand in the double walled spoutless pyrex glass vessel was maintained inert by bubbling dried and pure nitrogen gas throughout the course of the titration to purge carbon dioxide and oxygen. Potassium hydrogen phthalate (0.05 mol) and borax (0.01 mol) solutions were used to calibrate the pH meter. In each titration, the titrand consisted of approximately 1 mmol of nitric acid in a total volume of 50 ml. The amounts of MSA in the titrands ranged between 0.25 and 0.50 mmols. The glass electrode was equilibrated in a well stirred organic solvent-water mixture containing inert electrolyte for several days. At regular intervals, the strong acid was titrated against alkali to check the complete equilibration of the glass electrode. The details of the experimental procedure and titration assembly used in our laboratory have been given elsewhere.17
RESULTS AND DISCUSSION
1.3 Bestfit Models
The computer program SCPHD18 was used to calculate the correction factor applied to pH meter dial reading to calculate approximate protonation constants of mercaptosuccinic acid. The best fit chemical model for each system investigated was arrived at using non-linear least-squares computer program, MINIQUAD75 which exploits the advantage of constrained least-squares method in the initial refinement and reliable convergence of Marquardt algorithm.19 The variation of stepwise protonation constants was analyzed mainly on electrostatic grounds on the basis of solute-solute and solute-solvent interactions.
The results of best fit models that contain the type of species and overall protonation constants of mercaptosuccinic acid along with some important statistical parameters are given in Table 1. A low standard deviation in log β values indicates the precision of these parameters. The small values of Uco״ (the sum of the squares of deviations in concentrations of ligand and hydrogen ion at all experimental points) corrected for degrees of freedom, indicate that the experimental data can be represented by the model. Small values of mean, standard deviation and mean deviation for the system confirm that the residuals are around a zero mean with little dispersion. For an ideal normal distribution, the values of kurtosis and skewness should be three and zero, respectively. The kurtosis values in the present study indicate that the residuals form leptokurtic patterns. The values of skewness recorded in the table are between -1.88 and 1.56. These data evince that the residuals form part of a normal distribution; hence, least squares method can be applied to the present data. The sufficiency of the model is further evident from the low crystallographic R values. Thus, the statistical parameters show that the best fit models represent the acid-base equilibria of mercaptosuccinic acid in both PG- and DOX-water mixtures.
The primary alkalimetric titration data were simulated and compared with the experimental alkalimetric titration data, to verify the sufficiency of the model. The overlap of the typical experimental and simulated titrations data given in Figure 1 indicates that the proposed models correctly represent the experimental data collected from the refinements carried in the pH rang of 2.0 to 11.0.
1.4 Effect of systematic errors on best fit model
Any variation in the concentrations of ingredients like alkali, mineral acid and the ligand affects the magnitudes of protonation constants. Such parameters are termed influential parameters. MINIQUAD75 does not have provision to study the effect of systematic errors in the influential parameters on the magnitude of protonation constant. In order to rely upon the best chemical model for critical evaluation and application under varied experimental conditions with different accuracies of data acquisition, an investigation was made by introducing pessimistic errors in the concentrations of mineral acid, alkali, ligand and volume. The results of a typical system given in Table 2 emphasize that the errors in the concentrations of alkali and mineral acid affect the protonation constants more than that of the ligand and volume of the solution. Increased standard deviations in the protonation constants with increased errors in the concentrations of the ingredients corroborate the appropriateness of the experimental conditions. Statistically the best chemical models that represent acid-base equilibria under study should have very low standard deviation in their protonation constant (log β) values that indicate the precision of the parameters. The increased standard deviation in protonation constants and even rejection of some species on the introduction of errors confirms the correctness of the proposed models. This type of investigation is significant as the data acquisition was done under varied experimental conditions with different accuracies.
1.5 Protonation equilibria
The step-wise protonation constants and number of equilibria can be determined from the secondary formation functions such as average number of protons bound per mole of ligand (nH). The pH values at half integral values of nH correspond to the protonation constants of the ligand and the number of half integrals in the pH range of the study corresponds to the number of equilibria. Thus, three half integrals (0.5, 1.5 and 2.5) in the versus pH curve of Figure 2 conform the presence of three protonation-deprotonation equilibria. The maximum value of in the formation curve of Figure 2 is three, which clearly shows that MSA has three bound protons per molecule.
|Figure 2. Formation function (o) and distribution diagrams (solid lines) of protonated and deprotonated MSA species in 40.0% v/v DOX-water mixture.|
The typical distribution plots (Figure 2) produced using the protonation constants from the best fit models given in Table I show the existence of LH3, LH2 LH2- and L3- species. The LH3 species is predominant at low pH and its amount decreases exponentially and becomes almost zero around pH 6, and LH2 exists in the pH ranges 2.0-9.0. The most predominant species, LH2- form of mercaptosuccinic acid is present to an extent of 90% starting around pH 3.0. The free ligand (L3-) concentration progressively increases starting from around pH 9.0 and attains its maximum at higher pH in both the media. The plotting percent of species vs. pH could be also used to approximate protonation constants because at the upper intersections where the points [LHn] =[LHn-1] occurs at a pH values equal to the protonation constants.
The protonation-deprotonation equilibria of MSA and pH ranges of existence of the species are shown in Figure 3 in which mercaptosuccinic acid loses carboxylic and thiol protons successively as the amount of alkali added increases.
|Figure 3. Protonation-deprotonation equilibria of MSA.|
1.6 Effect of Solvent
The reaction medium is one of the most important influencing factors in determining the equilibrium constants. The solvent effect on protonation constants could be explained on the basis of dielectric constant of the medium, solvent structure, preferential solvation, and microscopic parameters.20-23 The variation of protonation constant or change in free energy with the organic solvent content depends up on two factors: electrostatic one, which can be estimated by the Born's equation24 and non-electrostatic one, which includes specific solute-solvent interactions. When the electrostatic effects dominate the equilibrium proceeds, according to Born's equation, the energy of electrostatic interaction is related inversely to dielectric constant.25 Hence, the logarithm of step-wise protonation constant (log K) should vary linearly as a function of the reciprocal of the dielectric constant of the medium.
It is observed that in both the media the log K values of mercaptosuccinic acid increase linearly as the content of organic solvent increases. The result is in agreement with those reported in the literature for the media containing pure water as solvent26-29 but the small differences are possibly due to the different experimental procedures, temperature and different background electrolytes used. In this study, the linear variation of log K values as a function of 1/D (Figure 4) in both PG- and DOX- water mixtures shows the dominance of electrostatic interactions. This linear increase can be attributed to ion-association reaction, solute-solvent interactions, proton-solvent interactions and solvent basicity (acidity) effects.
Mercaptosuccinic acid has three dissociable protons exists in LH3 form at low pH and gets deprotonated with the formation of, and LH2, LH2- and L3' species, successively, with increase in pH. The linear variation of log values of stepwise protonation constants with decreasing dielectric constant of the media confirms the dominance of electrostatic forces in the protonation-deprotonation equilibria of mercaptosuccinic acid. The effect of systematic of errors in the influential parameters on the protonation constants shows that the errors in the concentrations of alkali and mineral acid affect the protonation constants more than those in the concentration of ligand and volume of the solution.
The first author (MTZ) thanks the Federal Democratic Republic of Ethiopia Ministry of Education and Universities Capacities Building Program for financial assistance.
(Received: September 14, 2011 - Accepted: December 12, 2011)
1. S. Patai, The Chemistry of the Thiol Group, Vol. 15, Wiley-Interscience, London, 1974; pp. 569. [ Links ]
2. M. Rajopadhye, F. D. Popp, J. Heterocyclic Chem. 24, 1637, (1987) [ Links ]
3. B. S. Vashi, D. S. Mehta, V. H. Shah, Indian J. Chem. 34B, 802, (1995) [ Links ]
4. K. Desai, A. J. Baxi, J. Indian Chem. Soc. 69, 212, (1992) [ Links ]
5. M. P. Dave, J. M. Patel, N. A. Langalia, K. A. Thaker, J. Indian Chem. Soc. 61, 891, (1984) [ Links ]
6. R. Pires, K. Burger, Tetrahedron Lett. 37, 8159, (1996) [ Links ]
7. K. Nomiya, H. Yokoyama H. Nagano, M. Oda, S. Sakuma Bull. Chem. Soc. Jpn. 68, 2875, (1995) [ Links ]
8. K. C. Dash, H. Schmidbaur, Metals Ions in Biological Systems, Vol. 14, H. Sigel eds. Marcel Dekker Inc., New York, USA, 1982; pp. 179 [ Links ]
9. P. J. Sadler, Adv. Inorg. Chem. 36, 1, (1991) [ Links ]
10. A. Lorber, T. M. Simon, Gold Bull. 12, 149, (1979) [ Links ]
11. C. Witold, K. Anna, Z. Urszula Chem. Anal. (Warsaw) 50, 397, (2005) [ Links ]
12. H. Rozan, M. E. Lassman, D. P. Ridge, G. W. Luther, Nature 406, 879, (2000) [ Links ]
13. J. Crosby, R. Stone, G.E. Lienhard, J. Am. Chem. Soc. 92, 2891, (1970) [ Links ]
14. M. Arroyo, R. Torres-Guzman, I. Mata, M.P. Castillon, C. Acebal, Enzyme Microb. Technol. 27, 122 ,(2000) [ Links ]
15. R. S. Rao, G. N. Rao, Computer Applications in Chemistry, Himalaya Publishing House, Mumbai, India, 2005. [ Links ]
16. G. Gran, Anal. Chim. Acta 206, 111, (1988) [ Links ]
17. M. P. Latha, V. M. Rao, T. S. Rao , G. N. Rao, Bull. Chem. Soc. Ethiop. 21, 363, (2007) [ Links ]
18. G. N. Rao, Ph. D. Thesis, Andhra University, Visakhapatnam, India, 1989. [ Links ]
19. P. Gans, A. Sabatini, A. Vacca, Inorg. Chim. Acta 18, 237, (1976) [ Links ]
20. M. Jabbar, F. Gharib, Acta Chim. Slov. 57, 325, (2010) [ Links ]
21. J. Barbosa, D. Barron, J. L. Beltran, S. Buti, Talanta 45, 817, (1998) [ Links ]
22. D. Barron, S. Buti , M. Ruiz, J. Barbosa, Polyhedron 18, 3281, (1999) [ Links ]
23. A. Dogan, F. Goseoglu, E. Kilic, Anal. Biochem. 309,75, (2002) [ Links ]
24. R. G. Bates, Determination of pH: Theory and Practice, J. Wiley & Sons, Inc., New York, 1964. [ Links ]
25. M. Born, Z. Phys. 45, 1, (1920) [ Links ]
26. A. P. Arnold, A. J. Canty, Can. J. Chem. 61,1428, (1983) [ Links ]
27. G. R. Lenz, A. E. Martell, Inorg. Chem. 4, 378, (1965) [ Links ]
28. G. E. Cheney, Q. Fernando and H. Freiser, J. Phys. Chem. 63, 2055, (1959) [ Links ]
29. L. J. Perrin, D. D. Perrin, Aust. J. Chem. 22, 267, (1969) [ Links ]