Solubility Prediction of Satranidazole in Methanol-Water Mixtures Using Extended Hildebrand Solubility Parameter Approach

 

P.B. Rathi*

Department of Pharmaceutics, Shri Bhagwan College of Pharmacy, N-6, CIDCO, Auranagabad-431003, INDIA.

*Corresponding Author E-mail: pavanbrathi@gmail.com

 

ABSTRACT:

Models for predicting solubility of drugs in solvent mixtures have an important practical application in drug formulation. Solvent mixtures are widely used in pharmacy, and theoretical and semiempirical approaches save experiments that are often expensive and time-consuming. The study of solubility behaviour of satranidazole in solvent blends and individual solvents ranging from non-polar to highly polar is essential. The total solubility parameter explains the interactions of the drug between solute and solvent. The solutions containing excess drug were shaken in a water bath for 72 h at 25oC. The solutions attained equilibrium were then filtered and analyzed for drug content. The Extended Hildebrand Solubility Approach was used to process the solubility data of satranidazole. For understanding the solute-solvent interactions, total solubility parameter concept was utilized. A multiple regression method using the Extended Hildebrand Solubility Parameter Approach was applied to verify the solubility’s of satranidazole in pure polar solvents. Fedors group contribution method was used to calculate the solubility parameter of satranidazole and to support the results obtained from Extended Hildebrand Theory. The method has potential usefulness in preformulation and formulation studies during which solubility prediction is important for drug design.

 

KEYWORDS: Satranidazole; Solubility parameter; Fedors group contribution method; Extended hildebrand approach.

 


 

INTRODUCTION:

An irregular solution is one in which self-association of solute or solvent, solvation of the solute by the solvent molecules, or complexation of two or more solute species are involved.1 Polar systems exhibit irregular solution behaviour and are commonly encountered in pharmacy.2 The extended Hildebrand solubility approach (EHS) a modification of the Hildebrand-Scatchard equation, permits calculation of the solubility of polar and nonpolar solutes in solvents ranging from nonpolar hydrocarbons to highly polar solvents such as water, ethanol, and glycols.3,4 The solubility parameters of solute and solvent were introduced to explain the behaviour of regular and irregular solutions.

 

Solubility parameter, δT, is an intrinsic physicochemical property of a substance, and is expressed as square root of the cohesive energy density of the substance.5 The cohesive energy density itself is defined as the ratio of the energy of vaporization to the molar volume at the same temperature.6

 

This has been used to explain drug action, structure activity relationship, drug transport kinetics, in situ release of drug, gas solid chromatography.7-11 Therefore, the precise value of the solubility parameter of a drug is of interest.

 

Different methods are available to determine the solubility parameter of drugs. Firstly, group contribution methods (theoretical methods) such as Fedors, Hoy, and partial solubility parameters methods are used to determine the solubility parameter of the drugs.12,13 Secondly, Hildebrand regular solution theory according to which, peak solubility technique is used to obtain the solubility parameter of a solute. In non-regular solutions, the peak solubility does not approximate the ideal solubility. Therefore, a criterion X2 (experimental solubility) = X2i (ideal mole fraction solubility) is selected to decide the δT value. At present, for predicting the solubility, the extended hildebrand solubility approach (EHS) 14, 15 has evoked considerable interest. This approach is largely empirical and permits the estimation of solubility parameter also.16, 17

 

Satranidazole:

Satranidazole, 1-methylsulphonyl-3-(1-methyl-5-nitro-2-imidazolyl)-2-midazolidinone, is one of the large series of nitroimidazoles with a potent antiprotozoal activity, against E. hystolytica, T.vaginalis and giardia .18 It is not official in IP, USP and BP till date.19, 20 Though the molecule is found to be effective against these microorganisms, its therapeutic efficacy is hindered due to its poor aqueous solubility.21 The drugs with low aqueous solubility i.e., less than 1 mg/ml usually suffer oral bioavailability problems because of limited gastrointestinal transit time of the undissolved drug particles and limited solubility at the absorption site.22 The poor aqueous solubility and wettability of satranidazole give rise to difficulties in pharmaceutical formulations meant for oral or parenteral use, which may lead to variation in bioavailability.23

 

A perusal to the structure of Satranidazole indicates that the molecule is highly aromatic and the functional groups may not contribute much to the aqueous solubility. The solution behaviour of satranidazole in different solvents and total solubility parameter of satranidazole is not reported, therefore this candidate is chosen for the study.

 

Therefore, the present communication reports the behavior of satranidazole solubility in the context of existing theories of solutions such as ideal, regular, and irregular solutions. Furthermore, the solubility parameter of satranidazole is determined using Fedor’s group contribution method and solubility of satranidazole in methanol-water system was investigated to highlight the irregular solution behaviour. This allows further to test the reliability and validity of the models.

 

MATERIALS AND METHODS:

Materials:

Satranidazole, obtained as gift sample (Alkem Laboratories Ltd., Baddi, India) and used as received. Methanol was purchased from Dipa Chemical Industries, Pvt., Ltd., Aurangabad. Double distilled water was prepared in the laboratory using all glass distillation apparatus and used for experimental purpose throughout the study. Double beam UV/Vis spectrophotometer, Shimadzu model 1601 with spectral bandwidth of 2 nm, wavelength accuracy ±0.5 nm and a pair of 1 cm matched quartz cells was used to measure absorbance of the resulting solutions. Differential Scanning Calorimeter, Shimadzu TA-60 WS, was used for determination of melting point and heat of fusion of satranidazole.

 

Solubility Determination:

The solubility of satranidazole was determined in mixed solvents as well as individual solvents. About 10 ml of methanol, water, or mixed solvent blends were placed into screw-capped vials containing excess of satranidazole. The vials were agitated in a cryostat constant temperature reciprocating shaker bath at room temperature (25 ± 1°C) for at least 72 h in order to obtain equilibrium. Preliminary studies showed that this period was sufficient to ensure saturation at 25oC.24

 

After 72 h of equilibrium, aliquots were withdrawn, filtered (0.22 µm pore size), diluted, and analyzed at 319.80 nm on Shimadzu UV/Vis spectrophotometer. All solubility experiments were conducted in triplicate and the average value was reported.

 

Heat of Fusion:

The heat of fusion of satranidazole was determined by using Differential Scanning Calorimeter. The thermogram is shown in Fig. 1. The heat of fusion is 112.30 J/g (7763.838 cal/mol).

 

Solubility Parameter of Mixed Solvents:

The solubility parameter, δ1, for the mixture of two solvents methanol and water was calculated from the relationship25;

 

Where δMTH and δW are the solubility parameters of individual solvents in the blend, respectively, and Ф1MTH + ФW is the total volume fraction of two solvents.

 

Volume Fraction and Mean Molar Volume in Mixed Solvents:

The volume fraction for a solvent blend (Ф1) was calculated either by an iteration procedure (Martin and Mauger, 1988) or by using the experimental mole fraction solubility (X2).26, 27

 

Where, X2 is the mole fraction solubility of the solute in the mixed solvent, V1 and V2 are the molar volumes of the solvent blends and the solute (Satranidazole), respectively. An iteration procedure was used for the analysis in binary solvents and Eq. 2 was used for the data in individual solvents. For each mixed solvent composed of MTH and water in various proportions: 28

 

Where, X and M are the mole fraction and molecular weight of the particular solvent in the mixture, respectively, and ρ1 is the density of the solvent mixture at the experimental temperature (25oC).

The mean molar volume of the solvent blend (V1) is calculated by the equation,

V1 = VMTH ФMTH + VW ФW ----------------- (4)

Where, VMTH and VW are the molar volumes of the respective solvents.

Solubility Parameter and Molar Volume of Satranidazole:

Group contribution method was used to calculate the total solubility parameter (δ2) and molar volume of satranidazole (Table 1.). In present investigation, the total solubility parameter of satranidazole was calculated by the methods of Fedor’s. The molar volume of satranidazole taken as a supercooled liquid at 25oC is also calculated by using the Fedor’s group contribution method. For the rest of the work, the molar volume of satranidazole was determined experimentally by the floatation technique by immersion of the solid in methanol (δ = 14.5 H).29 The solubility parameter of the methanol and water are collected from the literature.30,31

 

Table 1. Calculation of solubility parameter of satranidazole by Fedor’s Group Contribution Methiod

Drug fragments

No. of Fragments

Cohesive Energy

(Cal/mol)

Molar Volume

(Cm3/mol)

=CH

[1]

1030

13.5

=C<

[3]

1690

6.5

-CH3

[2]

1125

33.5

-NO2

[1]

3670

32.0

-SO2

[1]

3700

23.8

>N-

[3]

2800

5.0

-CH2-

[2]

1180

16.1

=N-

[1]

2800

5.0

Conjugation

[2]

400

-2.2

Ring Closure

[2]

250

16

 

Total

30580

235.6

 

δ2 (Cal/cm3)0.5

=(30580/235.6)0.5

=11.3928

 

Table 2. Absorbance data of satranidazole in MTH-Water mixtures

Concentration (μg/ml)

Absorbance

Concentration (μg/ml)

Absorbance

5

0.162

30

0.968

10

0.325

35

1.126

15

0.498

40

1.296

20

0.642

45

1.432

25

0.805

50

1.594

 

Calculation of Ideal Solubility:

The ideal mole fraction solubility (X2i) of crystalline solids in polar and non-polar solvents is calculated from32

 

The entropy of fusion, ΔSf, is evaluated by using the relationship33

ΔHf = T0. ΔSf ----------- (6)

Where, ΔHf is heat of fusion, T0 is the melting point of solute in absolute scale, T is working temperature of solutions in Kelvin at which the solubility was determined, and R is the real gas constant. The DSC of satranidazole is given in Fig. 1.

 

Fig. 1. Differential scanning calorimetry of satranidazole.

 

RESULTS AND DISCUSSION:

The absorption spectrum of satranidazole in methanol solution was obtained (λmax - 319.80 nm, Fig. 2.). Lambert-Beer’s law obeys in the concentration range of 5–50 μg/ml (R2 = 0.9997) as shown in Table 2 and the calibration curve (Fig. 3) was constructed. The ΔHf value of 7763.838 cal/mol and T0 value of 461.83 K were obtained. Then ΔSf was calculated to yield a value of 16.811 cal/mol/degree. The ideal mole fraction solubility of satranidazole is 0.0245614 (– logX2i = 1.60974602).34 The experimental molar volume of satranidazole obtained is 271.3497 cm3/mol. The molar volume from Fedors group contribution method is 235.6 cm3/mol. The experimentally determined mole fraction solubilities of satranidazole at 25oC in the solvent series are found in the Table 3 together with the molar volumes and solubility parameters of solvent mixtures. The (log γ2)/A (obs) values are also found in the Table 4.

 

Fig. 2. UV spectrum of satranidazole.

 

The experimental mole fraction solubility of satranidazole in the solvent series is recorded in Fig. 4. The δ value of satranidazole was determined by measuring the solubility in different solvent blends.35 The experimental mole fraction solubility of satranidazole shows peak solubility and the δ value of solvent blend at peak solubility is taken as the solubility parameter of satranidazole. According to regular solution theory, when δ1 = δ2, the experimental mole fraction solubility is equal to the ideal mole fraction solubility. In regular solutions, maximum solubility occurs when δ of the solvent is approximately equal to δ of the solute. The peak solubility for satranidazole in the methanol-water series is observed (Fig.4.) at the δ value of solvent blend 15.39 H which is nearer to the 11.39 H value calculated by Fedor’s Group Contribution Method.

 

Fig. 3. Lambert-Beer plot of satranidazole.

 

Fig. 4. Mole fraction solubility of satranidazole in MTH-water binary mixtures.

 

In irregular solutions, these relations do not apply exactly as in regular solutions. It appears that the condition X2 = X2i is still valid, although the peak solubility technique was disregarded. In case of the solubility of satranidazole in a dioxane-water system, the solute and solvent (Lewis acid-base) interaction might have unduly lowered the δ2 value.36 Therefore; the peak solubility does not provide the δ value of solute in irregular solutions.

 

Observed solubility data was then subjected to the evaluation of interaction energy. The interaction term W can be calculated from Eq. (7) at each experimental point (X2, δ1). The results are also presented in Table 3. Experimental values of interaction energy (Wobs) were regressed against solubility parameter to obtain Wcal (Fig. 5.), which was then used to back calculate the mole fraction solubility (X2cal).

 

Fig. 5. Plot of observed interaction energy versus solubility parameter of MTH-water binary mixtures.

 

The EHS approach was proposed to understand the non-regular behavior of solutions. This involves regression of W values against a power series, namely quartic, of the solvent solubility parameter.37

 

In our case, the following fit was obtained:

Wcal = -226.46176099 + 58.87254598 δ1 – 3.98276898 δ12 + 0.14952617 δ13 – 0.00185420 δ14

(n = 11, R2=0.99999989)

Validation of this equation has been done by comparing experimentally obtained and calculated values of mole fraction solubility by estimating residuals and percent difference (Table 4).

 

The predictive capability of the model for satranidazole is represented in Fig. 6., which indicates a very high degree of correlation coefficient (R2) 0.9995 and negligible intercept equal to zero.

 

CONCLUSIONS:

The Extended Hildebrand Solubility Parameter Approach applied to the solubility data of satranidazole in MTH-water mixtures leads to an expansion of the W interaction term as a fourth degree power series in δ1 which reproduces the satranidazole solubility within the accuracy ordinarily achieved in such measurements.

 


 

Fig. 6. Relationship of observed and calculated mole fraction solubility of satranidazole.

 


 

 


Table 3. Mole fraction solubility of satranidazole (X2) and other related parameters against the volume fraction of MTH (ΦMTH)

ΦMTH

X2( obs)

δ1

Ф1

V1

δ1δ2

W (obs)

0

3.1576E-05

23.40

0.99959

18.00

265.36

330.28

0.1

3.9727E-05

22.51

0.99954

20.27

255.27

310.14

0.2

4.5705E-05

21.62

0.99952

22.54

245.18

290.67

0.3

5.3440E-05

20.73

0.99949

24.81

235.08

272.02

0.4

6.9743E-05

19.84

0.99939

27.08

224.99

254.30

0.5

9.1735E-05

18.95

0.99926

29.35

214.90

237.38

0.6

1.2194E-04

18.06

0.99909

31.62

204.80

221.27

0.7

1.6510E-04

17.17

0.99885

33.89

194.71

205.97

0.8

1.9717E-04

16.28

0.99872

36.16

184.62

191.31

0.9

2.1006E-04

15.39

0.99871

38.43

174.53

177.30

1.0

1.6598E-04

14.50

0.99904

40.70

164.43

163.70

 

 

Table 4. Comparison of experimental and calculated mole fraction solubilities and their residuals

W(obs)

W(cal)

X2(obs)

X2(calc)

logγ2/A(obs)

logγ2/A(cal)

Residual

Percent Error

330.272796

330.285428

3.1576E-05

3.1895E-05

16.746508

16.721245

-1.0092E-02

-1.01E+00

310.130923

310.101714

3.9727E-05

3.8815E-05

16.170353

16.228772

2.2951E-02

2.30E+00

290.669155

290.672277

4.5705E-05

4.5818E-05

15.818190

15.811946

-2.4848E-03

-2.48E-01

272.019659

272.056865

5.3440E-05

5.5044E-05

15.425682

15.351270

-3.0014E-02

-3.00E+00

254.299524

254.287305

6.9743E-05

6.9069E-05

14.758652

14.783089

9.6629E-03

9.66E-01

237.381056

237.367505

9.1735E-05

9.0752E-05

14.072488

14.099590

1.0708E-02

1.07E+00

221.267538

221.273450

1.2194E-04

1.2251E-04

13.360624

13.348801

-4.7061E-03

-4.71E-01

205.968785

205.953205

1.6510E-04

1.6307E-04

12.603429

12.634591

1.2292E-02

1.23E+00

191.305479

191.326914

1.9717E-04

2.0055E-04

12.159542

12.116671

-1.7156E-02

-1.72E+00

177.292054

177.286802

2.1006E-04

2.0918E-04

12.000091

12.010596

4.1594E-03

4.16E-01

163.698346

163.697171

1.6598E-04

1.6582E-04

12.585408

12.587758

9.3269E-04

9.33E-02

 


On the basis of validation parameters, it can be expressed that the behavior of non regular solution can be quantified more precisely using EHSA. The procedure can be explored further to predict the solubility of satranidazole in pure water or methanol and in any water-methanol mixtures.

Simultaneously, this tool may become useful in optimization problems of clear solution formulations. Thus the method has potential usefulness in preformulation and formulation studies during which solubility prediction is important for drug design.

 

ACKNOWLEDGEMENTS:

Author takes this opportunity to express his gratitude to M/S Alkem Laboratories Ltd., Baddi, India, for providing gift sample of Satranidazole.

 

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Received on 06.10.2010        Modified on 27.10.2010

Accepted on 04.11.2010        © AJRC All right reserved

Asian J. Research Chem. 4(2): February 2011; Page 260-265