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Thermodynamic study of the solubility of triclocarban in ethanol + propylene glycol mixtures

Abstract

By using the van't Hoff and Gibbs equations the apparent thermodynamic functions Gibbs energy, enthalpy, and entropy of solution for triclocarban in ethanol + propylene glycol mixtures were evaluated from solubility data determined at temperatures from (293.15 to 313.15) K. The drug solubility was greatest in the mixture with 0.60 in mass fraction of ethanol and lowest in neat propylene glycol at almost all the temperatures studied. Non-linear enthalpy-entropy compensation is found indicating apparently different mechanisms of the solution process according to the mixtures composition.

cosolvency; solubility; triclocarban


ARTIGO

Thermodynamic study of the solubility of triclocarban in ethanol + propylene glycol mixtures

Andres R. Holguín; Daniel R. Delgado; Fleming Martínez* * e-mail: fmartinezr@unal.edu.co

Departamento de Farmacia, Facultad de Ciencias, Universidad Nacional de Colombia, A.A. 14490, Bogotá D.C., Colombia

ABSTRACT

By using the van't Hoff and Gibbs equations the apparent thermodynamic functions Gibbs energy, enthalpy, and entropy of solution for triclocarban in ethanol + propylene glycol mixtures were evaluated from solubility data determined at temperatures from (293.15 to 313.15) K. The drug solubility was greatest in the mixture with 0.60 in mass fraction of ethanol and lowest in neat propylene glycol at almost all the temperatures studied. Non-linear enthalpy-entropy compensation is found indicating apparently different mechanisms of the solution process according to the mixtures composition.

Keywords: cosolvency; solubility; triclocarban.

INTRODUCTION

Triclocarban (TCC, 3,4,4'-trichlorocarbanilide, Figure 1) is a synthetic antibacterial agent used as antiseptic in cosmetic and health-consumer products that presents low acute and chronic toxicity.1 The extremely low solubility of TCC in water (approx. 50 ng cm-3) constrains the development of water-based antibacterial TCC-containing formulations.2 Different technological approaches are being investigated in order to enhance the solubility of poorly-water soluble drugs.3 As an example, the improved aqueous solubility of TCC by means of encapsulation into two branched poly(ethylene oxide)-poly(propylene oxide) (PEO-PPO) block copolymers has been reported.4


Despite the impact the dissolution process in both organic and aqueous media have on the interaction of this drug with the biological environment and also in the context of the solubilization in polymeric nanocarriers, these fundamental aspects were not thoroughly investigated yet.5 In this context, the thermodynamic aspects of dissolution processes in some organic solvents used in QSAR studies have been reported.5

As a basic stage towards a deeper understanding of the molecular forces involved, the present work studied the thermodynamic of solubility of TCC in solvent mixtures of ethanol and propylene glycol as has been made with analgesic drugs such as acetaminophen, ibuprofen and naproxen.6 It is well known that ethanol and propylene glycol are the cosolvents most widely used in drug formulation design, especially those intended for peroral and parenteral administration and several examples of pharmaceutical formulations using these cosolvents have been presented by Rubino.7 It is remarkable that both cosolvents have antimicrobial properties.8

As has been already described, the solubility behavior of drugs in cosolvent mixtures is very important because cosolvent blends are frequently used in purification methods, preformulation studies, and pharmaceutical dosage forms design, among other applications.9 For these reasons, it is important to determine systematically the solubility of pharmaceutical compounds. Besides, as was already said temperature-solubility dependence allows us to carry out the respective thermodynamic analysis, which, on the other hand, also permits insight the molecular mechanisms, involved toward the solution processes.9

The goal of the present work was to present a more complete and systematic information about the properties of dissolution in alcoholic media and transfer between solvents of different polarity for this drug. The equilibrium solubility was determined at several temperatures in the binary mixtures and the respective dissolution thermodynamic analysis was made by using the van't Hoff and Gibbs equations. Otherwise, by using the values reported for the TCC fusion process the contribution due to the mixing-process toward the overall dissolution was also analyzed.4

EXPERIMENTAL

Materials

Triclocarban A.R. Sigma; absolute ethanol A. R. (Merck); propylene glycol conformed to the quality requirements of the American Pharmacopeia, USP;10 molecular sieve (Merck, numbers 3 and 4); Millipore Corp. Swinnex®-13 filter units.

Solvent mixtures preparation

All ethanol + propylene glycol solvent mixtures were prepared by mass, using an Ohaus Pioneer TM PA214 analytical balance with sensitivity ± 0.1 mg, in quantities of 50 g. The mass fractions of ethanol of the nine binary mixtures prepared varied by 0.10 from 0.10 to 0.90.

Solubility determinations

An excess of TCC was added to approximately 10 g of each solvent mixture or neat solvent, in stoppered dark glass flasks. Solid-liquid mixtures were placed with stirring in a thermostatic mechanical shaker (Julabo SW23) kept at 303.15, 308.15, or 313.15 (± 0.05) K at least for 7 days or placed in re-circulating thermostatic baths (Neslab RTE 10 Digital One Thermo Electron Company) kept at 293.15 or 298.15 (± 0.05) K with sporadic manual stirring at least for 7 days to reach the saturation equilibrium. After this time the supernatant solutions were filtered (at isothermal conditions) to ensure that they were free of particulate matter before sampling. TCC concentrations were determined after appropriate alcoholic dilution by measuring the light absorbance and interpolation from a previously constructed UV spectrophotometry calibration curve (UV/VIS BioMate 3 Thermo Electron Company spectrophotometer). Equilibrium time was established by measuring the TCC concentrations till they became constant. All the solubility experiments were run in triplicate at least. In order to make the equivalence between molarity and mole fraction concentration scales, the density of the saturated solutions was determined with a digital density meter (DMA 45 Anton Paar) connected to the same recirculating thermostatic baths.

RESULTS AND DISCUSSION

It is important to remark that this drug acts in solution mainly as a Lewis acid (>N-H groups) in order to establish hydrogen bonds with proton-acceptor functional groups present in the solvents (oxygen in -OH groups), although it also could act as Lewis base because of its carbonyl moiety.5,11

Ideal and experimental solubility of TCC

Table 1 shows the experimental solubilities of TCC expressed in mole fractions, x3, as well as the ideal solubilities already reported.5 It is important to keep in mind that drug ideal solubility is just dependent on solid-solute properties without considering the solvent properties. Thus, ideal solubility depends both on temperature and enthalpy of fusion.11 In almost all cases the coefficients of variation of the solubility were smaller than 2.0 %. On similar way, Figure 2 shows TCC solubility expressed in molarity at all temperatures studied. The solubility trends are described by normal polynomials in order 3.


It may be observed that the highest solubility value in mole fraction for this drug was obtained in the mixture of 0.60 in mass fraction of ethanol at 313.15 K, while the lowest value was found in neat ethanol at 293.15 K. By comparing the solubility in neat solvents the greater solubility at almost all temperatures is found in neat ethanol except at 293.15 K. On the other hand, in the literature there are not reported solubility values for this drug in these solvents, and therefore, no direct comparison is possible.

TCC activity coefficients

The solute activity coefficient in the solution (γ2) is calculated as X2id/X2 and it is an indication of the deviation presented by TCC from its ideal behavior.9Table 2 shows TCC activity coefficients as a function of temperature. Accordingly, γ2 values are close to 2.0 and increase as temperature increases indicating less ideal behavior at high temperatures. On the other hand, the lower γ2 values are obtained in the same mixture of maximum solubility (µEtOH = 0.60).

From the different magnitudes obtained for the γ2 values presented in Table 2 an approximate estimation of solute-solvent intermolecular interactions can be made by considering the following expression:

where w11, w22 y w12 represent the solvent-solvent, solute-solute and solvent-solute interaction energies, respectively; V2 is the molar volume of the supercooled liquid solute, and finally, Φ1 is the volume fraction of the solvent. In a first approach the term (V2Φ12/RT)T,P may be considered approximately constant at the same temperature, and then γ2 depends almost exclusively on w11,w22 and w12.12 While the term w12 term favors the solution process, both w11 and w22 terms are unfavorable for solubility. This happens because energy must be supplied first, against the cohesive forces of the solute in solid state to separate them, and second, against the cohesive forces of the solvent to create the respective cavity (for solute accommodation). These processes decrease drug solubility. On the other hand, solute-solvent interaction is exothermic and results mainly from van der Waals and Lewis acid-base interactions, which increases the drug solubility. The contribution of w22 is proportional to the work necessary to transfer drug molecules from the solid to the vapor state and, therefore, it could be considered as constant in all mixtures and pure solvents.

The γ2 values vary from 1.46 to 3.26 indicating quasi-ideal solubility behavior of this drug in this binary solvent system. It is important to note that this drug has high temperature and enthalpy of fusion and therefore the term w22 would be great.5 On similar way, ethanol and propylene glycol are hydrogen-bonded solvents implying the w11 term is relatively great in all mixtures.11 Therefore, the term w12 would be significant to obtain the low γ2 values presented in Table 2. That is, the solute-solvent interactions are very important for dissolution of this drug in these solvent mixtures.

Apparent thermodynamic functions of solution

According to van't Hoff analysis, the apparent standard enthalpy change of solution (∆solnH°) for non electrolyte drugs is obtained by using the mean harmonic temperature (Thm is 303 K in the present case) according to Equation 2.9

where, R is the universal gas constant (8.314 J mol-1 K-1). As an example, Figure 3 shows the modified van't Hoff plot for TCC in mixtures containing 0.40, 0.60, and 0.80 in mass fraction of ethanol. In all cases linear models were obtained with good determination coefficients (r2) were obtained.


The apparent standard Gibbs energy change for the solution process (∆solnG°) of non electrolyte drugs considering the approach proposed by Krug et al.,13 is calculated at mean harmonic temperature by means of,

in which, the intercept used is the one obtained in the analysis by treatment of ln x2 as a function of 1/T - 1/Thm. This intercept corresponds to the value of ln X2 obtained from the respective regression model at 303 K, and thus, Equation 3 is almost coincident with the classical equation ∆solnG° = -RT × ln X2 at mean harmonic temperature.11 Finally, the apparent standard entropic change for solution process (∆solnS°) is obtained from the respective ∆solnH° and ∆solnG° values by using:

Table 3 summarizes the apparent standard thermodynamic functions for experimental solution process of TCC in all ethanol + propylene glycol solvent mixtures. In order to calculate the thermodynamic quantities for the experimental solution processes some propagation of uncertainties' methods were used. In particular, the uncertainty in enthalpy was calculated from the respective uncertainty in the van't Hoff plot slope multiplied by R, the uncertainty in Gibbs energy was calculated as the mean of the variation coefficients obtained in solubility values obtained at all temperatures, and finally, the uncertainty in entropy was obtained as the root square of the sum of squares of uncertainties obtained for enthalpy and Gibbs energy.14 It is found that the standard Gibbs energy of solution is positive in all cases as expected because the mole fraction is always lower than the unit and thus, its logarithmic term is negative, and therefore, standard Gibbs energy will be a positive quantity. δsolnG° values diminish from neat propylene glycol to the mixture of 0.60 in mass fraction of ethanol.

The apparent enthalpy of solution is positive in all cases, therefore the process is always endothermic. In opposite way, the entropy of solution is negative indicating that nor enthalpic or entropic driving on the overall solution process is obtained, except for the mixture with 0.90 in mass fraction of ethanol and in neat ethanol where positive entropies were obtained. In these cases the solution process is entropy-driven. In different way to Gibbs energy of solution, δsolnH° and δsolnS° values decrease from neat propylene glycol to the mixture of 0.30 in mass fraction of ethanol and increase beyond this mixture composition.

With the aim to compare the relative contributions by enthalpy (ζH) and by entropy (ζTS) toward the solution process, Equations 5 and 6 were employed, respectively.15

From Table 3 it follows that enthalpy is the main contributor to standard Gibbs energy of solution process of TCC in all the systems studied and thus the energetic factor predominates.

Apparent thermodynamic functions of mixing of TCC

The solution process may be represented by the following hypothetic stages,9

where the solution stages are solute fusion, cooling the liquid solute to the mean harmonic temperature Thm (303 K), and subsequent mixing of the hypothetical super-cooled liquid solute with the solvent at this temperature. This allows also the calculation of the partial thermodynamic contributions to the overall solution process by means of Equations 7 and 8, respectively.

where ΔfusH303 and ΔfusS303 represent the thermodynamic functions of fusion of TCC and its cooling to the mean temperature, 303 K.

However, the Δsolnid and Δsolnid values for the ideal solution processes were used instead of ΔfusH303 and ΔfusS303 for reasons described in the literature.16 Briefly, ΔfusH303 is calculated as ∆fusHMP - ∆Cp(Tfus - T) by using ∆fusSMP instead of δCp obtaining a value of 24.05 kJ mol-1, which is coincident with the enthalpic change for an ideal solution of this drug (Table 3); in contrast, the entropy of fusion at 303 K (79.4 J mol-1 K-1) is not coincident with the entropy of ideal solution at this temperature (35.29 J mol-1 K-1).5 This replacement was used also with some analgesic drugs studied at similar conditions in this solvent system.6Table 4 summarizes the thermodynamic functions of mixing of supercooled liquid TCC with the solvent mixtures. δmixG° values are positive indicating apparently non spontaneity of the liquids mixing process. This result is in agreement with the fact that experimental solubility in all case was lower than the ideal one.

The ideal dissolution contributions (related to solute fusion process) to the enthalpy and entropy of dissolution of TCC, Δsolnid and Δsolnid, are positive (Table 3). In opposite way to ideal process, both thermodynamic quantities of mixing are negative indicating just enthalpic driving in this hypothetical subprocess because of its exothermic nature.

Apparent thermodynamic functions of transfer of TCC

In order to verify the effect of cosolvent composition on the thermodynamic function driving the solution process, Table 5 summarizes the thermodynamic functions of transfer of TCC from the more polar solvents to the less polar ones. These new functions were calculated as the differences between the thermodynamic quantities of solution in the more polar mixtures and the less polar mixtures.

If the addition of ethanol to neat propylene glycol is considered (being the solvent mixture less polar as the ethanol proportion increases), as has been done earlier,6 it happens the following, from neat propylene glycol to 0.30 in mass fraction of ethanol (∆A→BG° < 0, ∆A→BH° < 0, and ∆A→BS° < 0) the solubility process is driven by the enthalpy; whereas, from this composition up to 0.60 in mass fraction of ethanol (∆A→BG° < 0, ∆A→BH° > 0, and ∆A→BS° > 0) the dissolution process is entropy driven. Ultimately, from this ethanol proportion to neat ethanol (∆A→BG° > 0, ∆A→BH° > 0, and ∆A→BS° > 0), the solution process is enthalpy driven, again. Nevertheless, the molecular events involved on solution processes are unclear because of the lack of structural effects in this binary alcoholic system.

Enthalpy-entropy compensation of solution process of TCC

According to the literature, the making of weighted graphs of ∆solnH° as a function of ∆solnG° at mean harmonic temperature allows us to observe similar mechanisms for the solution process according to the tendencies obtained.17

In this context, Figure 4 shows fully that TCC in the ethanol + propylene glycol solvent system exhibits non-linear ∆solnH° vs. ∆solnG° compensation with positive slope if an interval from neat propylene glycol to 0.30 in mass fraction of ethanol is considered, whereas from this ethanol proportion to 0.60 in mass fraction of ethanol positive slope is obtained, and finally, from this ethanol proportion to neat ethanol positive slope is obtained again. Accordingly to this graph it follows that the driving function for TCC solubility is the enthalpy in the first and third cases, while in the second case, the driving function is the entropy. Nevertheless, the molecular events involved in the dissolution of this drug in this binary system are unclear as was already said but it is conjecturable that the enthalpy driving could be due to the energy requirement to separate the molecules of each individual solvent to accommodate the drug molecules. The compensation behavior obtained for TCC is similar to that reported for acetaminophen but different with those reported for ibuprofen and naproxen where almost linear compensations were obtained.6 On the other hand, Khalief explained the almost linear compensation of ibuprofen solubility in this solvent mixture in terms of the same mechanism for dissolution process independent of the mixture composition because no structural change is observed in the solvent mixture.18


CONCLUSIONS

From all topics discussed previously it can be concluded that the solution process of TCC in ethanol + propylene glycol mixtures is variable depending on the solvent composition. Non linear enthalpy-entropy compensation was found for this drug in this binary system. In this context, enthalpy-driving was found for ethanol-rich (0.60 < µEtOH < 1.00) and propylene glycol-rich mixtures (0.00 < µEtOH < 0.30), whereas, for the intermediate composition mixtures (0.30 < µEtOH< 0.60) entropy-driving was found, nevertheless, the molecular events involved in the dissolution of this drug in this solvent system are unclear. Ultimately, it can be stated that the data presented in this report expand the physicochemical information about drugs in alcoholic solutions.

ACKNOWLEDGMENTS

We thank the DIB of the Universidad Nacional de Colombia (UNC) for the financial support. Additionally we thank the Department of Pharmacy of UNC for facilitating the equipment and laboratories used.

REFERENCES

1. Budavari, S.; O'Neil, M. J.; Smith, A.; Heckelman, P. E.; Obenchain Jr., J. R.; Gallipeau, J. A. R.; D'Arecea, M. A.; The Merck Index: An Encyclopedia of Chemicals, Drugs, and Biologicals; 13th ed. Merck & Co., Inc.: Whitehouse Station, New Jersey, 2001; Breneman, D. L.; Hanifin, J. M.; Berge, C. A.; Kewick, B. H.; Neumann, P. B.; Cutis 2000, 66, 296; Luby, S.; Agboatwalla, M.; Feikin, D.; Painter, J.; Billhimer, W.; Altaf, A.; Hoekstra R.; Lancet 2005, 366, 225.

2. Duan, M. S.; Zhao, N.; Össurardóttir, Í. B.; Thorsteinsson, T.; Loftsson, T.; Int. J. Pharm. 2005, 297, 213.

3. Sosnik, A.; Carcaboso, A. M.; Chiappetta, D. A.; Recent Pat. Biomed. Eng. 2008, 1, 43.

4. Chiappetta, D. A.; Degrossi, J.; Lizarazo, R. A.; Salinas, D. L.; Martínez, F.; Sosnik, A. In Polymer Aging, Stabilizers and Amphiphilic Block Copolymers; Segewicz, L.; Petrowsky, M., eds., Nova Science Publishers, Inc.: New York, 2010.

5. Aragón, D. M.; Sosnik, A.; Martínez, F.; J. Solution Chem. 2009, 38, 1493.

6. Jiménez, J. A.; Martínez, F.; J. Solution Chem. 2006, 35, 335; Pacheco, D. P.; Manrique, Y. J.; Martínez, F.; Fluid Phase Equilibr. 2007, 262, 23.

7. Rubino, J. T. In Encyclopedia of Pharmaceutical Technology; Swarbrick, J.; Boylan, J. C., eds.; Marcel Dekker, Inc.: New York, 1988, vol. 3, p. 375-398.

8. Aulton, M. E.; Pharmaceutics, The Science of Dosage Forms Design, 2nd ed., Churchill Livingstone: London, 2002.

9. Pacheco, D. P.; Martínez, F.; Phys. Chem. Liq. 2007, 45, 581.

10. US Pharmacopeia, 23rd ed., The United States Pharmacopeial Convention: Rockville, 1994.

11. Martin, A.; Bustamante, P.; Chun, A. H. C.; Physical Pharmacy: Physical Chemical Principles in the Pharmaceutical Sciences, 4th ed.; Lea & Febiger: Philadelphia, 1993; Florence, A. T.; Atwood, D.; Physicochemical Principles of Pharmacy, 3rd ed.; MacMillan Press Ltd.: London, 1998, p. 64-67.

12. Kristl, A.; Vesnaver, G.; J. Chem. Soc. Faraday Trans. 1995, 91, 995.

13. Krug, R. R.; Hunter, W. G.; Grieger, R. A.; J. Phys. Chem. 1976, 80, 2341.

14. Bevington, P. R.; Data Reduction and Error Analysis for the Physical Sciences, McGraw-Hill Book Co.: New York, 1969, p. 56-91; Barrante, J. R.; Applied Mathematics for Physical Chemistry; 2nd ed.; Prentice Hall, Inc.: Upper Saddle River, 1998, p. 179-191.

15. Perlovich, G. L.; Kurkov, S. V.; Kinchin, A. N.; Bauer-Brandl, A.; Eur. J. Pharm. Biopharm. 2004, 57, 411.

16. Ruidiaz, M. A.; Delgado, D. R.; Martínez, F.; Marcus, Y.; Fluid Phase Equilibr. 2010, 299, 259.

17. Bustamante, P.; Romero, S.; Reillo, A.; Pharm. Sci. 1995, 1, 505 ; Tomlinson, E.; Int. J. Pharm. 1983, 13, 115.

18. Khalifeh, I.; Ph.D. Thesis, Purdue University, USA, 2000.

Recebido em 19/1/11; aceito em 1/8/11; publicado na web em 26/9/11

  • 1. Budavari, S.; O'Neil, M. J.; Smith, A.; Heckelman, P. E.; Obenchain Jr., J. R.; Gallipeau, J. A. R.; D'Arecea, M. A.; The Merck Index: An Encyclopedia of Chemicals, Drugs, and Biologicals; 13th ed. Merck & Co., Inc.: Whitehouse Station, New Jersey, 2001;
  • Breneman, D. L.; Hanifin, J. M.; Berge, C. A.; Kewick, B. H.; Neumann, P. B.; Cutis 2000, 66, 296;
  • Luby, S.; Agboatwalla, M.; Feikin, D.; Painter, J.; Billhimer, W.; Altaf, A.; Hoekstra R.; Lancet 2005, 366, 225.
  • 2. Duan, M. S.; Zhao, N.; Össurardóttir, Í. B.; Thorsteinsson, T.; Loftsson, T.; Int. J. Pharm. 2005, 297, 213.
  • 3. Sosnik, A.; Carcaboso, A. M.; Chiappetta, D. A.; Recent Pat. Biomed. Eng. 2008, 1, 43.
  • 4. Chiappetta, D. A.; Degrossi, J.; Lizarazo, R. A.; Salinas, D. L.; Martínez, F.; Sosnik, A. In Polymer Aging, Stabilizers and Amphiphilic Block Copolymers; Segewicz, L.; Petrowsky, M., eds., Nova Science Publishers, Inc.: New York, 2010.
  • 5. Aragón, D. M.; Sosnik, A.; Martínez, F.; J. Solution Chem. 2009, 38, 1493.
  • 6. Jiménez, J. A.; Martínez, F.; J. Solution Chem. 2006, 35, 335;
  • Pacheco, D. P.; Manrique, Y. J.; Martínez, F.; Fluid Phase Equilibr. 2007, 262, 23.
  • 7. Rubino, J. T. In Encyclopedia of Pharmaceutical Technology; Swarbrick, J.; Boylan, J. C., eds.; Marcel Dekker, Inc.: New York, 1988, vol. 3, p. 375-398.
  • 8. Aulton, M. E.; Pharmaceutics, The Science of Dosage Forms Design, 2nd ed., Churchill Livingstone: London, 2002.
  • 9. Pacheco, D. P.; Martínez, F.; Phys. Chem. Liq. 2007, 45, 581.
  • 10. US Pharmacopeia, 23rd ed., The United States Pharmacopeial Convention: Rockville, 1994.
  • 11. Martin, A.; Bustamante, P.; Chun, A. H. C.; Physical Pharmacy: Physical Chemical Principles in the Pharmaceutical Sciences, 4th ed.; Lea & Febiger: Philadelphia, 1993;
  • Florence, A. T.; Atwood, D.; Physicochemical Principles of Pharmacy, 3rd ed.; MacMillan Press Ltd.: London, 1998, p. 64-67.
  • 12. Kristl, A.; Vesnaver, G.; J. Chem. Soc. Faraday Trans. 1995, 91, 995.
  • 13. Krug, R. R.; Hunter, W. G.; Grieger, R. A.; J. Phys. Chem 1976, 80, 2341.
  • 14. Bevington, P. R.; Data Reduction and Error Analysis for the Physical Sciences, McGraw-Hill Book Co.: New York, 1969, p. 56-91;
  • Barrante, J. R.; Applied Mathematics for Physical Chemistry; 2nd ed.; Prentice Hall, Inc.: Upper Saddle River, 1998, p. 179-191.
  • 15. Perlovich, G. L.; Kurkov, S. V.; Kinchin, A. N.; Bauer-Brandl, A.; Eur. J. Pharm. Biopharm 2004, 57, 411.
  • 16. Ruidiaz, M. A.; Delgado, D. R.; Martínez, F.; Marcus, Y.; Fluid Phase Equilibr. 2010, 299, 259.
  • 17. Bustamante, P.; Romero, S.; Reillo, A.; Pharm. Sci 1995, 1, 505
  • ; Tomlinson, E.; Int. J. Pharm 1983, 13, 115.
  • 18. Khalifeh, I.; Ph.D. Thesis, Purdue University, USA, 2000.
  • *
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  • Publication Dates

    • Publication in this collection
      03 Apr 2012
    • Date of issue
      2012

    History

    • Received
      19 Jan 2011
    • Accepted
      01 Aug 2011
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