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Article

Solubility Data of the Bioactive Compound Piperine in (Transcutol + Water) Mixtures: Computational Modeling, Hansen Solubility Parameters and Mixing Thermodynamic Parameters

Department of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia
*
Author to whom correspondence should be addressed.
Molecules 2020, 25(12), 2743; https://doi.org/10.3390/molecules25122743
Submission received: 28 May 2020 / Revised: 8 June 2020 / Accepted: 11 June 2020 / Published: 13 June 2020
(This article belongs to the Special Issue 25th Anniversary of Molecules—Recent Advances in Physical Chemistry)

Abstract

:
The solubility values and thermodynamic parameters of a natural phytomedicine/nutrient piperine (PPN) in Transcutol-HP (THP) + water combinations were determined. The mole fraction solubilities (xe) of PPN in THP + water combinations were recorded at T = 298.2–318.2 K and p = 0.1 MPa by the shake flask method. Hansen solubility parameters (HSPs) of PPN, pure THP, pure water and THP + water mixtures free of PPN were also computed. The xe values of PPN were correlated well with “Apelblat, Van’t Hoff, Yalkowsky–Roseman, Jouyban–Acree and Jouyban–Acree–Van’t Hoff” models with root mean square deviations of < 2.0%. The maximum and minimum xe value of PPN was found in pure THP (9.10 × 10−2 at T = 318.2 K) and pure water (1.03 × 10−5 at T = 298.2 K), respectively. In addition, HSP of PPN was observed more closed with that of pure THP. The thermodynamic parameters of PPN were obtained using the activity coefficient model. The results showed an endothermic dissolution of PPN at m = 0.6–1.0 in comparison to other THP + water combinations studied. In addition, PPN dissolution was recorded as entropy-driven at m = 0.8–1.0 compared with other THP + water mixtures evaluated.

1. Introduction

Piperine (PPN; Figure 1) is a bioactive alkaloidal phytomedicine/nutrient that is present in the fruits and roots of Piper nigrum and Piper longum [1,2]. The pungency and bitter taste of pepper are due to the presence of PPN [2]. PPN is a potent bioactive compound, which has been reported to have several therapeutic activities including “anti-metastatic [3], enzyme activity stimulator [4], antimicrobial [5], antifertility [6], hepatoprotective [7], antiulcer [8], antiamoebic [9], antidiarrheal [10], anti-fibrotic [11], antifungal [12], acaricidal [13], anti-inflammatory [14,15], antioxidant [2,16,17] and anticancer activity [2,18]”. In addition, PPN has also been reported as a permeation and bioavailability enhancer for several weakly soluble drugs as well as nutrients [1,2,19,20,21]. The solubilization of phytomedicines/nutrients in co-solvent–water mixtures had significant role in their “isolation, extraction, purification, recrystallization, drug discovery and dosage form design” [22,23,24]. Therefore, the solubilization of PPN in co-solvent–water mixtures should be studied in order to obtain its application in pharmaceutical and food industries. Transcutol-HP (THP) is a potential co-solvent that is miscible with all proportions of water [24,25]. Its potential in increasing the solubilization of several poorly soluble bioactive compounds including vanillin, reserpine, sinapic acid and apigenin has been very well reported in the literature [24,25,26,27]. Some formulation technologies including solid dosage forms [28,29], emulsion/self-emulsifying formulations [30,31,32], nanomedicine-based drug delivery systems [33,34,35,36] and solid dispersion technology [37] have been studied in order to enhance solubility and bioactivity/bioavailability of PPN. The solubility of PPN in pure solvents including pure water, pure propylene glycol (PG), pure polyethylene glycol-400 (PEG-400) and pure THP at ambient temperature was reported elsewhere [1,30,31]. The solubility and mixing thermodynamic parameters of PPN in twelve different pure solvents including “water, methanol, ethanol, isopropanol, 1-butanol, 2-butanol, ethylene glycol, PG, PEG-400, ethyl acetate, dimethyl sulfoxide and THP” at “T = 298.2–318.2 K” and “p = 0.1 MPa” have also been reported [38]. The solubility data of PPN in water–ethanol and water–surfactant mixtures was also found elsewhere [39,40,41]. The solubility values of PPN in super critical carbon dioxide (CO2) and near critical CO2 at different temperatures has also been reported elsewhere [42]. So far, there is no report on PPN solubilization in “THP + water” mixtures at “T = 298.2–318.2 K” and “p = 0.1 MPa”. Therefore, in this research, the solubility profile of PPN in various “THP + water” mixtures, including pure water and pure THP at “T = 298.2–318.2 K” and “p = 0.1 MPa” is studied and reported. Mixing thermodynamic parameters of PPN are also computed and reported using an activity coefficient model. The solubility values of PPN reported in this research could be beneficial in “isolation, extraction, purification, recrystallization, drug discovery, pre-formulation studies and dosage form design” of PPN.

2. Results and Discussion

2.1. Experimental Solubility Values of PPN and Literature Comparison

The “mole fraction solubility (xe)” values of PPN in various “THP + water” combinations including pure water and pure THP at “T = 298.2–318.2 K’ and “p = 0.1 MPa” are summarized in Table 1. The solubility values of PPN in pure water and pure THP have been reported [38]. However, its solubility values in “THP + water” mixtures have not been reported elsewhere so far.
The solubility of PPN in pure water at “T = 298.2 K” was recorded as 0.164 mg g−1 (equivalent to xe = 1.04 × 10−5) and 10 µg g−1 (equivalent to xe = 6.31 × 10−7) by Shao et al. and Veerareddy et al., respectively [30,31]. In addition, the solubility of PPN in water at “T = 291.2 K” was obtained as 40 µg g−1 (equivalent to xe = 2.53 × 10−6) by another report [1]. The xe value of PPN in pure water at “T = 298.2 K” was calculated as 1.03 × 10−5 in the current research (Table 1). The solubility of PPN in pure THP at “T = 298.2 K” was obtained as 185.29 mg g−1 (equivalent to xe = 8.01 × 10−2) [31]. The xe value of PPN in pure THP at “T = 298.2 K” was calculated as 7.88 × 10−2 in the current research (Table 1). The xe values of PPN in pure water and pure THP obtained in the current research were found to be very close to those reported by Shao et al. [31]. However, the xe value of PPN in pure water obtained in the current research was found to have deviated much from those reported by Veerareddy et al. and Vasavirama and Upender [1,30]. This deviation could be due to the variation in shaking speed, equilibrium time and analysis method of PPN [1,30,38]. The solubility values of PPN in pure water and pure THP at five different temperatures, i.e., “T = 298.2–318.2 K” have also been reported [38]. The graphical comparison between xe and literature solubility values of PPN in pure water and pure THP at “T = 298.2–318.2 K” are summarized in Figure 2A,B, respectively. The data summarized in Figure 2A,B suggested an excellent correlation of xe values of PPN with the literature solubility data of PPN in pure water and pure THP at “T = 298.2–318.2 K”. Overall, the experimental solubility values of PPN obtained in the current research were found in good agreement with those reported in the literature. The reliability of the proposed method of solubility measurement was verified by obtaining the xe values of another phytomedicine/nutraceutical apigenin in pure THP at T = 298.2 K and T = 318.2 K. The xe value of apigenin in pure THP at T = 298.2 K and T = 318.2 K was found as 3.36 × 10−1 and 3.82 × 10−1, respectively, in the literature [27]. The xe value of apigenin in pure THP at T = 298.2 K and T = 318.2 K was determined as 3.33 × 10−1 and 3.84 × 10−1, respectively, in the current research. These results suggested that the xe value of apigenin in pure THP obtained using the current technique was very close to those reported in the literature [27]. Therefore, the present technique of solubility measurement was reliable for the solubility determination of PPN.
As per the results summarized in Table 1, the xe values of PPN were found to increase with increases in both THP mass fraction (m) in various “THP + water” combinations and temperature, and therefore the minimum xe value of PPN was obtained in pure water (xe = 1.03 × 10−5) at “T = 298.2 K”, and the maximum xe value of PPN was observed in pure THP (xe = 9.10 × 10−2) at “T = 318.2 K”. The maximum xe value of PPN in pure THP could be due to the lower polarity and low Hansen solubility parameter (HSP) of THP in comparison to high polarity and higher HSP of water [25,26]. The impact of m value of THP on PPN solubility at “T = 298.15–318.15 K” is summarized in Figure 3.
As per these results, the PPN solubility was found to increase linearly with increases in m values of THP at all five temperatures studied. It was also observed that the xe values of PPN were significantly enhanced from pure water to pure THP, and therefore THP could be utilized as an excellent co-solvent in PPN solubility enhancement.

2.2. Hansen Solubility Parameters (HSPs)

The results of HSPs of different “THP + water” systems free of PPN are tabulated in Supplementary Materials Table S1. The HSP (δ) value of PPN was computed as 22.30 MPa1/2. The HSP value for pure THP (δ1) and pure water (δ2) were computed as 21.40 and 47.80 MPa1/2, respectively. The HSP values for various “THP + water” mixtures free of PPN (δmix) were computed as 24.04–45.16 MPa1/2. As per the data recorded, the HSP value of pure THP (δ2 = 21.40 MPa1/2) and “THP + water” mixtures (at m = 0.9; δmix = 24.04 MPa1/2) were found to close to that of PPN (δ = 22.30 MPa1/2). The xe values of PPN were also obtained at the maximum in pure THP and at m = 0.9 of THP in “THP + water” mixtures. Hence, the obtained solubility data of PPN in various “THP + water” mixtures was in good agreement with their HSPs

2.3. Mixing Thermodynamic Parameters of PPN Solution

The computed values of various mixing thermodynamic parameters such as “mixing Gibbs energy (ΔmixG), mixing enthalpy (ΔmixH) and mixing entropy (ΔmixS)” along with activity coefficients (γi) for PPN in different “THP + water” combinations including pure water and pure THP are given in Supplementary Materials Table S2. The ΔmixG values for PPN at m = 0.6–1.0 were found as negative values, which decreased with the increase in temperature. Hence, PPN dissolution was proposed as endothermic at m = 0.6–1.0. The ΔmixS values for PPN at m = 0.8–1.0 were found as positive values, which also decreased with increases in temperature. Therefore, PPN dissolution was proposed as entropy-driven at m = 0.8–1.0. The ΔmixH values for PPN were found as negative values in most of the “THP + water” combinations studied.

2.4. Solute–Solvent Molecular Interactions

The data of γi for PPN in different “THP + water” combinations including pure water and pure THP at “T = 298.2–318.2 K” is summarized in Table 2. The γi value obtained for PPN was highest in pure water at all five temperatures studied. However, the γi value obtained for PPN was lowest in pure THP at all five temperatures. The highest γi value for PPN in pure water could be possible due to the lowest xe value of PPN in pure water. As per these results, the γi value for PPN was found to increase with increases in temperature in all “THP + water” mixtures studied. Based on these results, the maximum solute–solvent interactions were considered in PPN–THP compared with PPN–water.

2.5. Modeling of PPN Solubility

The solubility data obtained for PPN was correlated using “Van’t Hoff, Apelblat, Yalkowsky–Roseman, Jouyban–Acree and Jouyban–Acree–Van’t Hoff” models [26,43,44,45,46,47,48]. Results of the “Van’t Hoff model” for PPN in different “THP + water” mixtures including pure water and pure THP are summarized in Table 3.
The graphical correlation between xe and “Van’t Hoff model solubility (xVan’t)” of PPN is presented in Supplementary Materials Figure S1, which shows good graphical correlation. The root mean square deviations (RMSDs) for PPN in various “THP + water” combinations including pure water and pure THP were recorded as 0.31–1.11% with an average RMSD of 0.65%. In addition, the determination coefficients (R2) were obtained as 0.9935–0.9985.
The results of the “Apelblat model” for PPN in different “THP + water” mixtures including pure water and pure THP are summarized in Table 4.
The graphical correlation between xe and “Alelblat model solubility (xApl)” values of PPN are presented in Figure 4, which expressed good graphical correlation.
The RMSDs for PPN in various “THP + water” combinations including pure water and pure THP were estimated as 0.34–0.78% with an average RMSD of 0.54%. In addition, the R2 values were estimated as 0.9978–0.9999.
Results of the “Yalkowsky–Roseman model” for PPN in different “THP + water” combinations are listed in Table 5. The RMSD values for PPN in different “THP + water” combinations were computed as 0.46–2.81% with an average RMSD of 1.24%.
Results of the “Jouyban–Acree model” for PPN in “THP + water” mixtures are listed in Table 6. The average RMSD for PPN was estimated as 0.42%.
Results of the “Jouyban–Acree–Van’t Hoff model” for PPN in “THP + water” mixtures are tabulated in Table 6. The average RMSD for PPN was estimated as 0.54%.
As per the results recorded for solubility modeling, it was observed that all investigated models showed low RMSDs (average RMSD < 2.0%), which indicated good correlation of obtained solubility data of PPN with all investigated models. However, it should be noted that the error values of every model could not be compared with each other as each model was related with different parameters and model coefficients [49]. In general, the performance of all investigated models was good, but the “Jouyban–Acree model” could be considered as the most suitable model because it utilized the least number of model coefficients in addition to having a low RMSD value.

3. Experimental

3.1. Materials

PPN and THP were procured from “Beijing Mesochem Technology Co. Pvt. Ltd. (Beijing, China)” and “Gattefosse (Lyon, France)”, respectively. Water was collected from a Milli-Q water purification unit. The properties of materials are listed in Table 7.

3.2. PPN Solubility Measurement

A well-known saturation shake flask method was applied to measure the solubility of PPN in various “THP + water” combinations (m = 0.1–0.9) including pure water (m = 0.0) and pure THP (m = 1.0) [50]. This study was performed at “T = 298.2–318.2 K” and “p = 0.1 MPa”, and each study was repeated at least for three times. Excess PPN powder was taken into glass vials having 1.0 g of each “THP + water” mixtures including pure solvents. All the prepared samples were transferred to a “OLS 200 Grant Scientific Biological Shaker (Grant Scientific, Cambridge, UK)” after temperature and shaker speed settings. After equilibrium, the samples were removed from the shaker, centrifuged and diluted using methanol (mobile phase) and utilized for the determination of PPN content using the reported high-performance liquid chromatography method at 254 nm [38]. The amount of PPN in each sample was determined using a calibration curve of PPN. The xe values of PPN were calculated using Equations (1) and (2) [26,27]:
x e = m 1 / M 1 m 1 / M 1 + m 2 / M 2
x e = m 1 / M 1 m 1 / M 1 + m 2 / M 2 + m 3 / M 3
Here, m1 = PPN mass; m2 = THP mass; m3 = water mass; M1 = PPN molar mass; M2 = THP molar mass and M3 = water molar mass. PPN solubility in pure water and pure THP was computed by applying Equation (1). PPN solubility in “THP + water” mixtures was calculated using Equation (2).

3.3. Computation of HSPs

If the solubility parameter of the solute is close to that of pure solvents or cosolvent mixtures, the solubility of solute will be higher in that particular pure solvent or cosolvent mixtures [51]. Therefore, HSPs for PPN, pure THP, pure water and various “THP + water” mixtures free of PPN were computed in this research. The δ value for PPN, pure THP and pure water was computed by applying Equation (3) [49,51,52] as follows:
δ 2 = δ d 2 + δ p 2 + δ h 2
in which “δ = total HSP; δd = dispersion HSP; δp = polar HSP and δh = hydrogen-bonded HSP”. The HSPs for PPN, pure THP and pure water were estimated using “HSPiP software (version 4.1.07, Louisville, KY, USA)” [51]. The HSPs of various “THP + water” mixtures free of PPN (δmix) were calculated using Equation (4) [26,53] as follows:
δ mix = δ 1 + ( 1 ) δ 2
Here, α = volume fraction of THP in “THP + water” mixtures; δ1 = HSP of pure THP and δ2 = HSP of pure water.

3.4. Mixing Thermodynamics Parameters of PPN Solution

Different mixing thermodynamic parameters of PPN solution were computed using the “Lewis–Randall rule”. For an ideal solution, different mixing thermodynamic parameters such as “mixing Gibbs energy (ΔmixGid), mixing entropy (ΔmixSid) and mixing enthalpy (ΔmixHid)” in different “THP + water” mixtures including pure water and pure THP can be calculated using Equations (5)–(7) [54,55] as follows:
Δ mix G id = R T   ( x 1 ln x 1 + x 2 ln x 2 + x 3 ln x 3 )
Δ mix S id = R   ( x 1 ln x 1 + x 2 ln x 2 + x 3 ln x 3 )
Δ mix H id = 0
Here, R = universal gas constant (R = 8.314 J/mol/K); x1 = PPN mole fraction; x2 = THP mole fraction and x3 = water mole fraction.
For a non-ideal solution, various mixing thermodynamic parameters such as ΔmixG, ΔmixH and ΔmixS in different “THP + water” mixtures including pure water and pure THP can be calculated using Equations (8)–(10) [54,55,56] as follows:
Δ mix G = Δ mix G id + G E
Δ mix H = Δ mix H id + H E
Δ mix H = Δ mix H id + H E
Here, GE = excess Gibbs energy and HE = excess enthalpy. The GE and HE values were computed using the activity coefficient-based Wilson model by applying Equations (11) and (12) [56,57] as follows:
G E = R T   ( x 1 ln γ i + x 2 ln γ i + x 3 ln γ i )
H E = T 2 [ ( G E / T T ) ]
The γi value for PPN in different THP + water combinations including pure water and pure THP was calculated by applying Equation (13) [58,59,60] as follows:
γ i = x idl x e
Here, xidl = ideal solubility of PPN which was computed using Equation (14) [58] as follows:
ln   x idl = Δ H fus ( T fus T ) R T fus T + ( Δ C p R ) [ T fus T T + ln ( T T fus ) ]  
Here, ∆Cp = difference between the molar heat capacity of solid state and liquid state; Tfus = fusion temperature of PPN and ∆Hfus = fusion enthalpy of PPN [59,61]. The values of Tfus, ∆Hfus and ∆Cp for PPN were taken as 404.88 K, 32.69 kJ mol−1 and 80.74 J mol−1 K−1, respectively, from reference [38].

3.5. Solute–Solvent Molecular Interactions

The molecular interactions between PPN and various “THP + water” mixtures including pure water and pure THP can be explained using activity coefficients values. The γi values for PPN in different “THP + water” mixtures and pure solvents at “T = 298.2–318.2 K” were calculated by applying Equation (13) listed above.

3.6. Thermodynamics-Based Computational Models

The solubility value obtained in the current research for PPN in various “THP + water” combinations including pure solvents was correlated using “Van’t Hoff, Apelblat, Yalkowsky–Roseman, Jouyban–Acree and Jouyban–Acree–Van’t Hoff” models [26,43,44,45,46,47,48]. The xVan’t value of PPN in different “THP + water” mixtures including pure water and pure THP was calculated by applying Equation (15) [26] as follows:
ln   x Va n t = a + b T
in which a and b = model coefficients of Equation (15), which were determined by the graphs constructed between ln xe of PPN and 1/T. The correlation between xe and xVan’t values of PPN was carried out using RMSD and R2. The RMSDs of for PPN were calculated using its formula reported previously in the literature [27]. The xApl value of PPN in various “THP + water” combinations including pure water and pure THP was calculated using Equation (16) [43,44].
ln   x Apl = A + B T + C ln ( T )
Here, A, B and C = the model coefficients of Equation (16), which were obtained using “nonlinear multivariate regression analysis” of xe values of PPN summarized in Table 1 [26]. The correlation between xe and xApl values of PPN was again performed using RMSD and R2. The logarithmic solubility of “Yalkowsky–Roseman model (log xYal)” for PPN in various “THP + water” mixtures was calculated by applying Equation (17) [45] as follows:
log x Yal = m 1 l o g x 1 + m 2 l o g x 2
Here, x1 = mole fraction solubility of PPN in THP; x2 = mole fraction solubility of PPN in water; m1 = THP mass fraction and m2 = water mass fraction.
The “Jouyban–Acree model solubility (xm,T)” of PPN in different “THP + water” combinations was calculated by applying Equation (18) [62,63,64] as follows:
ln   x m , T = m 1 ln x 1 + m 2   ln   x 2 + [ m 1   m 2 T i = 0 2   J i ( m 1 m 2 ) ]
Here, Ji = model coefficient of Equation (18) which was obtained using “no-intercept regression analysis” [65,66]. Based on the current data set, the trained version of Equation (18) can be expressed using Equation (19).
ln   x m , T = m 1 ln x 1 + m 2   ln   x 2 + 14.43 m 1   m 2 T
The correlation between xe and xm,T of PPN was conducted using RMSD. The “Jouyban–Acree–Van’t Hoff model solubility of PPN (xm,T)” in different “THP + water” combinations was calculated by applying Equation (20) [26,66] as follows:
ln   x m , T = m 1 ( A 1 + B 1 T ) + m 2   ( A 2 + B 2 T ) + [ m 1 m 2 T   i = 0 2 J i ( m 1 m 2 ) ]
Here, A1, B1, A2, B2 and Ji = the model coefficient of Equation (20). Based on the current data set, the trained version of Equation (20) can be expressed using Equation (21).
ln   x m , T = m 1 ( 0.21 696.21 T ) + m 2   ( 4.45 2093.60 T ) + 16.42 m 1 m 2 T

4. Conclusions

This study was aimed to determine the solubility of a bioactive compound PPN in various “THP + water” combinations including pure water and pure THP at “T = 298.2–318.2 K” and “p = 0.1 MPa”. The solubility of PPN was recorded as increasing with arise in both m value of THP and temperature in all “THP + water” mixtures including pure water and pure THP. Obtained solubility data of PPN was correlated well by “Apelblat, Van’t Hoff, Yalkowsky–Roseman, Jouyban–Acree and Jouyban–Acree–Van’t Hoff” models with an average RMSD of <2.0%. Overall, the “Jouyban–Acree model” was found as the most suitable for this modeling. The maximum solute–solvent interactions were observed in the PPN–THP combination in comparison to PPN–water. The results of mixing thermodynamics showed an endothermic dissolution of PPN at m = 0.6–1.0. In addition, the dissolution of PPN was found as entropy-driven at m = 0.8–1.0.

Supplementary Materials

The following are available online, Figure S1: Correlation of experimental solubility values of PPN with “Van’t Hoff model” in different “THP + water” mixtures at “T = 298.2–318.2 K”; Van’t Hoff model solubility values of PPN are represented by solid lines, and experimental solubility values of PPN are represented by the symbols, Table S1: Hansen solubility parameters (δmix/MPa1/2) for various THP + water mixtures free of PPN at “T = 298.2 K”, Table S2: The values of mixing enthalpy (ΔmixH/J mol−1), mixing entropy (ΔmixS/J mol−1 K−1), mixing Gibbs energy (ΔmixG/J mol−1) and activity coefficient (γi) for PPN dissolution in different “THP + water” mixtures.

Author Contributions

Conceptualization and supervision, S.A.; Methodology, N.H., F.S. and S.A.; Validation, N.H. and F.S.; Writing—original draft, F.S. and S.A.; Writing—review and editing, N.H., F.S. and S.A.; Software, N.H. and F.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia via grant number RGP-1438-013, and the article processing charge (APC) was also supported by the Deanship of Scientific Research.

Acknowledgments

The authors would like to extend their sincere appreciation to the Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia for funding this work through the research group project number RGP-1438-013.

Conflicts of Interest

The authors report no conflict of interest associated with this manuscript.

References

  1. Vasavirama, K.; Upender, M. Piperine: A valuable alkaloid from piper species. Int. J. Pharm. Pharm. Sci. 2014, 6, 34–38. [Google Scholar]
  2. Gorgani, G.; Mohammadi, M.; Najafpour, G.D.; Nikzad, M. Piperine-the bioactive compound of black pepper: From isolation to medicinal formulations. Compr. Rev. Food Sci. Food Saf. 2017, 16, 124–140. [Google Scholar] [CrossRef]
  3. Pradeep, C.R.; Kuttan, G. Effect of piperine on the inhibition of lung metastatis induced B16F-10 melanoma cells in mice. Clin. Exp. Metast. 2002, 19, 703–708. [Google Scholar] [CrossRef] [PubMed]
  4. Platel, K.; Srinivasan, K. Influence of dietary spices and their active principles on pancreatic digestive enzymes in albino rats. Food/Nahrung. 2000, 44, 42–46. [Google Scholar] [CrossRef]
  5. Yang, Y.C.; Lee, S.G.; Lee, H.K.; Kim, M.K.; Lee, S.H.; Lee, H.S. A piperidine amide extracted from piper longum L. fruit shows activity against Aedes aegypti mosquito larvae. J. Agric. Food Chem. 2002, 50, 3765–3767. [Google Scholar] [CrossRef]
  6. Piyachaturawat, P.; Glinsukon, T.; Peugvicha, P. Postcoital antifertility effect of piperine. Contraception 1982, 26, 625–633. [Google Scholar] [CrossRef]
  7. Sethiya, N.K.; Shah, P.; Rajpara, A.; Nagar, P.A.; Mishra, S.H. Antioxidants and hepatoprotective effects of mixed micellar lipid formulation of phyllanthin and piperine in carbon tetrachloride-induced liver injury in rodents. Food Funct. 2015, 6, 3593–3603. [Google Scholar] [CrossRef]
  8. Bai, Y.F.; Xu, H. Protective action of piperine against experimental gastric ulcer. Acta Pharmacol. Sin. 2000, 21, 357–359. [Google Scholar]
  9. Meghwal, M.; Goswami, T.K. Piper nigrum and piperine: An update. Compr. Phytother. Res. 2013, 27, 1121–1130. [Google Scholar] [CrossRef]
  10. Shamkuwar, P.B.; Shahi, S.R. Study of antidiarrhoeal activity of piperine. Der Pharm. Lett. 2012, 4, 217–221. [Google Scholar]
  11. Ma, Z.G.; Yuan, Y.P.; Zhang, X.; Xu, S.C.; Wang, S.S.; Tang, Q.Z. Piperine attenuates pathological cardiac fibrosis via PPAR-γ/AKT pathways. EBioMedicine 2017, 18, 179–187. [Google Scholar] [CrossRef] [Green Version]
  12. Moon, Y.S.; Choi, W.S.; Park, E.S.; Bae, I.K.; Choi, S.D.; Paek, O.; Kim, S.H.; Chun, H.S.; Lee, S.E. Antifungal and antiaflatoxigenic methylene-dioxy containing compounds and piperine-like synthetic compounds. Toxins 2016, 8, 240. [Google Scholar] [CrossRef] [Green Version]
  13. Singh, N.K.; Saini, S.P.S.; Singh, H.; Jyoti; Sharma, S.K.; Rath, S.S. In vitro assessment of the acaricidal activity of piper longum, piper nigrum, and zingiber officinale extracts against hyalomma anatolicum ticks. Exp. Appl. Acarol. 2017, 71, 303–317. [Google Scholar] [CrossRef] [PubMed]
  14. Sosa, S.; Balick, M.; Arvigo, R.; Esposito, R.; Pizza, C.; Altinier, G.; Tubaro, A. Screening of the topical anti-inflammatory activity of some Central American plants. J. Ethnopharmacol. 2002, 81, 211–215. [Google Scholar] [CrossRef]
  15. Bang, J.S.; Choi, H.M.; Sur, B.J.; Lim, S.J.; Kim, J.Y.; Yang, H.I.; Yoo, M.C.; Hahm, D.H.; Kim, K.S. Anti-inflammatory and antiarthritic effects of piperine in human interleukin 1β-stimulated fibroblast-like synoviocytes and in rat arthritis models. Arthritis Res. Ther. 2009, 11, 1–9. [Google Scholar] [CrossRef] [Green Version]
  16. Kaul, I.; Kapil, A. Evaluation of liver protective potential of piperine: An active principle of black pepper. Planta Med. 1993, 59, 413–417. [Google Scholar] [CrossRef] [PubMed]
  17. Sabina, E.P.; Souriyan, A.D.H.; Jackline, D.; Rasool, M.K. Piperine, an active ingredient of black pepper attenuates acetaminophen-induced hepatotoxicity in mice. Asian Pac. J. Trop. Dis. 2010, 3, 971–976. [Google Scholar] [CrossRef] [Green Version]
  18. Raman, G.; Gaikar, V.G. Microwave-assisted extraction of piperine from Piper nigrum. Ind. Eng. Chem. Res. 2002, 41, 2521–2528. [Google Scholar] [CrossRef]
  19. Shoba, G.; Joy, D.; Joseph, T.; Majeed, M.; Rajendran, R.; Srinivas, P.S. Influence of piperine on the pharmacokinetics of curcumin in animals and human volunteers. Planta Med. 1998, 64, 353–356. [Google Scholar] [CrossRef] [Green Version]
  20. Mujumdar, A.M.; Dhuley, J.N.; Deshmukh, V.K.; Naik, S.R. Effect of piperine on bioavailability oxyphenylbutazone in rats. Indian Drugs 1999, 36, 123–126. [Google Scholar]
  21. Johnson, J.J.; Nihal, M.; Siddiqui, I.A.; Scarlett, C.O.; Bailey, H.H.; Mukhtar, H.; Ahmad, N. Enhancing the bioavailability of resveratrol by combining it with piperine. Mol. Nutr. Food Res. 2011, 55, 1169–1176. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Shakeel, F.; Haq, N.; Salem-Bekhit, M.M.; Raish, M. Solubility and dissolution thermodynamics of sinapic acid in (DMSO + water) binary solvent mixtures at different temperatures. J. Mol. Liq. 2017, 225, 833–839. [Google Scholar] [CrossRef]
  23. Shakeel, F.; Haq, N.; Siddiqui, N.A.; Alanazi, F.K.; Alsarra, I.A. Solubility and thermodynamic behavior of vanillin in propane-1,2-diol + water cosolvent at different temperatures. Food Chem. 2015, 188, 57–61. [Google Scholar] [CrossRef]
  24. Shakeel, F.; Haq, N.; Siddiqui, N.A.; Alanazi, F.K.; Alsarra, I.A. Solubility and thermodynamics of vanillin in Carbitol-water mixtures at different temperatures. LWT Food Sci. Technol. 2015, 64, 1278–1282. [Google Scholar] [CrossRef]
  25. Shakeel, F.; Haq, N.; Siddiqui, N.A.; Alanazi, F.K.; Alsarra, I.A. Thermodynamics of the solubility of reserpine in {{2-(2-ethoxyethoxy)ethanol + water}} mixed solvent systems at different temperatures. J. Chem. Thermodyn. 2015, 82, 57–60. [Google Scholar] [CrossRef]
  26. Shakeel, F.; Haq, N.; Alanazi, F.K.; Alanazi, S.A.; Alsarra, I.A. Solubility of sinapic acid in various (Carbitol + water) systems: Computational modeling and solution thermodynamics. J. Therm. Anal. Calorim. 2020, in press. [Google Scholar] [CrossRef]
  27. Shakeel, F.; Alshehri, S.; Haq, N.; Elzayat, E.; Ibrahim, M.; Altamimi, M.A.; Mohsin, K.; Alanazi, F.K.; Alsarra, I.A. Solubility determination and thermodynamic data apigenin in binary {Transcutol® + water} mixtures. Ind. Crops Prod. 2018, 116, 56–63. [Google Scholar] [CrossRef]
  28. Ezawa, T.; Inoue, Y.; Tunvichien, S.; Suzuki, R.; Kanamoto, I. Changes in the physicochemical properties of piperine/β-cyclodextrin due to the formation of inclusion complexes. Int. J. Med. Chem. 2016, 2016, E8723139. [Google Scholar] [CrossRef] [Green Version]
  29. Khatri, S.; Awasthi, R. Piperine containing floating microspheres: An approach for drug targeting to the upper gastrointestinal tract. Drug Deliv. Transl. Res. 2016, 6, 299–303. [Google Scholar] [CrossRef]
  30. Veerareddy, P.R.; Vobalaboina, V.; Nahid, A. Formulation and evaluation of oil-in-water emulsions of piperine in visceral leishmaniasis. Pharmazie 2004, 59, 194–197. [Google Scholar]
  31. Shao, B.; Cui, C.; Ji, H.; Tang, J.; Wang, Z.; Liu, H.; Qin, M.; Li, X.; Wu, L. Enhanced oral delivery of piperine by self-emulsifying drug delivery systems: In vitro, in vivo and in situ intestinal permeability studies. Drug Deliv. 2015, 22, 740–747. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Li, Q.; Zhai, W.; Jiang, Q.; Huang, R.; Liu, L.; Dai, J.; Gong, W.; Du, S.; Wu, Q. Curcumin-piperine mixtures in self-microemulsifying drug delivery system for ulcerative colitis therapy. Int. J. Pharm. 2015, 490, 22–31. [Google Scholar] [CrossRef] [PubMed]
  33. Pentak, D. In vitro spectroscopic study of piperine-encapsulated nanosize liposomes. Eur. Biophys. J. 2016, 45, 175–186. [Google Scholar] [CrossRef]
  34. Cherniakov, I.; Izgelov, D.; Barasch, D.; Davidson, E.; Domb, A.J.; Hoffman, A. Piperine-pro-nanolipospheres as a novel oral delivery system of cannabinoids: Pharmacokinetic evaluation in healthy volunteers in comparison to buccal spray administration. J. Control. Release 2017, 266, 1–7. [Google Scholar] [CrossRef]
  35. Cherniakov, I.; Izgelov, D.; Domb, A.J.; Hoffman, A. The effect of pro nanolipospheres (PNL) formulation containing natural enhancers on the oral bioavailability of delta-9-tetrahydrocannabinol (THC) and cannabidiol (CBD) in a rat model. Eur. J. Pharm. Sci. 2017, 109, 21–30. [Google Scholar] [CrossRef] [PubMed]
  36. Yusuf, M.; Khan, M.; Khan, R.A.; Ahmed, B. Preparation, characterization, in vivo and biochemical evaluation of brain targeted piperine solid lipid nanoparticles in an experimentally induced Alzheimer’s disease model. J. Drug Target. 2013, 21, 300–311. [Google Scholar] [CrossRef]
  37. Thenmozhi, K.; Yoo, Y.J. Enhanced solubility of piperine using hydrophilic carrier-based potent solid dispersion systems. Drug Dev. Ind. Pharm. 2017, 43, 1501–1509. [Google Scholar] [CrossRef] [PubMed]
  38. Alshehri, S.; Haq, N.; Shakeel, F. Solubility, molecular interactions and mixing thermodynamic properties of piperine in various pure solvents at different temperatures. J. Mol. Liq. 2018, 250, 63–70. [Google Scholar] [CrossRef]
  39. Raman, G.; Gaikar, V.G. Extraction of piperine from piper nigrum (black pepper) by hydrotropic solubilization. Ind. Eng. Chem. Res. 2002, 41, 2966–2976. [Google Scholar] [CrossRef]
  40. Padalkar, K.V.; Gaikar, V.G. Extraction of piperine from piper nigrum (black pepper) by aqueous solutions of surfactant and surfactant + hydrotrope mixtures. Sep. Sci. Technol. 2008, 43, 3097–3118. [Google Scholar] [CrossRef]
  41. Huang, X.; Lin, X.; Guo, M.; Zou, Y. Characteristics of piperine solubility in multiple solvent. Adv. Mater. Res. 2011, 236–238, 2495–2498. [Google Scholar] [CrossRef]
  42. Kumoro, A.C.; Singh, H.; Hasan, M. Solubility of piperine in supercritical and near critical carbon dioxide. Chin. J. Chem. Eng. 2009, 17, 1014–1020. [Google Scholar] [CrossRef]
  43. Apelblat, A.; Manzurola, E. Solubilities of o-acetylsalicylic, 4-aminosalicylic, 3,5-dinitrosalicylic and p-toluic acid and magnesium-DL-aspartate in water from T = (278–348) K. J. Chem. Thermodyn. 1999, 31, 85–91. [Google Scholar] [CrossRef]
  44. Manzurola, E.; Apelblat, A. Solubilities of L-glutamic acid, 3-nitrobenzoic acid, acetylsalicylic, p-toluic acid, calcium-L-lactate, calcium gluconate, magnesium-DL-aspartate, and magnesium-L-lactate in water. J. Chem. Thermodyn. 2002, 34, 1127–1136. [Google Scholar] [CrossRef]
  45. Yalkowsky, S.H.; Roseman, T.J. Solubilization of drugs by cosolvents. In Techniques of Solubilization of Drugs; Yalkowsky, S.H., Ed.; Marcel Dekker Inc.: New York, NY, USA, 1981; pp. 91–134. [Google Scholar]
  46. Sotomayor, R.G.; Holguín, A.R.; Romdhani, A.; Martínez, F.; Jouyban, A. Solution thermodynamics of piroxicam in some ethanol + water mixtures and correlation with the Jouyban–Acree model. J. Sol. Chem. 2013, 42, 358–371. [Google Scholar] [CrossRef]
  47. Jouyban, A. Review of the cosolvency models for predicting solubility of drugs in water-cosolvent mixtures. J. Pharm. Pharm. Sci. 2008, 11, 32–58. [Google Scholar] [CrossRef]
  48. Babaei, M.; Shayanfar, A.; Rahimpour, E.; Barzegar-Jalali, M.; Martínez, F.; Jouyban, A. Solubility of bosentan in {propylene glycol + water} mixtures at various temperatures: Experimental data and mathematical modeling. Phys. Chem. Liq. 2019, 57, 338–348. [Google Scholar] [CrossRef]
  49. Alshahrani, S.M.; Shakeel, F. Solubility data and computational modeling of baricitinib in various (DMSO + water) mixtures. Molecules 2020, 25, 2124. [Google Scholar] [CrossRef]
  50. Higuchi, T.; Connors, K.A. Phase-solubility techniques. Adv. Anal. Chem. Inst. 1965, 4, 117–122. [Google Scholar]
  51. Zhu, Q.N.; Wang, Q.; Hu, Y.B.; Abliz, X. Practical determination of the solubility parameters of 1-alkyl-3-methylimidazolium bromide ([CnC1im]Br, n = 5, 6, 7, 8) ionic liquids by inverse gas chromatography and the Hansen solubility parameter. Molecules 2019, 24, 1346. [Google Scholar] [CrossRef] [Green Version]
  52. Shakeel, F.; Haq, N.; Alsarra, I.A.; Alshehri, S. Solubility, Hansen solubility parameters and thermodynamic behavior of emtricitabine in various (polyethylene glycol-400 + water) mixtures: Computational modeling and thermodynamics. Molecules 2020, 25, 1559. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Wan, Y.; He, H.; Huang, Z.; Zhang, P.; Sha, J.; Li, T.; Ren, B. Solubility, thermodynamic modeling and Hansen solubility parameter of 5-norbornene-2,3-dicarboximide in three binary solvents (methanol, ethanol, ethyl acetate + DMF) from 278.15 K to 323.15 K. J. Mol. Liq. 2020, 300, E112097. [Google Scholar] [CrossRef]
  54. Smith, J.M.; Ness, H.C.V.; Abbott, M.M. Introduction to Chemical Engineering Thermodynamics; McGraw-Hill: New York, NY, USA, 2001. [Google Scholar]
  55. Li, X.; Cong, Y.; Du, C.; Zhao, H. Solubility and solution thermodynamics of 2-methyl-4-nitroaniline in eleven organic solvents at elevated temperatures. J. Chem. Thermodyn. 2017, 105, 276–288. [Google Scholar] [CrossRef]
  56. Zhao, K.; Yang, P.; Du, S.; Li, K.; Li, X.; Li, Z.; Liu, Y.; Lin, L.; Hou, B.; Gong, J. Determination and correlation of solubility and thermodynamics of mixing of 4-aminobutyric acid in mono-solvents and binary solvent mixtures. J. Chem. Thermodyn. 2016, 102, 276–286. [Google Scholar] [CrossRef]
  57. Vanderbilt, B.M.; Clayton, R.E. Bonding of fibrous glass to elastomers. Ind. Eng. Chem. Prod. Res. Dev. 1965, 4, 18–22. [Google Scholar] [CrossRef]
  58. Ruidiaz, M.A.; Delgado, D.R.; Martínez, F.; Marcus, Y. Solubility and preferential solvation of indomethacin in 1,4-dioxane + water solvent mixtures. Fluid Phase Equilib. 2010, 299, 259–265. [Google Scholar] [CrossRef]
  59. Manrique, Y.J.; Pacheco, D.P.; Martínez, F. Thermodynamics of mixing and solvation of ibuprofen and naproxen in propylene glycol + water cosolvent mixtures. J. Sol. Chem. 2008, 37, 165–181. [Google Scholar] [CrossRef]
  60. Shakeel, F.; Alshehri, S.; Imran, M.; Haq, N.; Alanazi, A.; Anwer, M.K. Experimental and computational approaches for solubility measurement of pyridazinone derivative in binary (DMSO + water) systems. Molecules 2020, 25, 171. [Google Scholar] [CrossRef] [Green Version]
  61. Hildebrand, J.H.; Prausnitz, J.M.; Scott, R.L. Regular and Related Solutions; Van Nostrand Reinhold: New York, NY, USA, 1970. [Google Scholar]
  62. Jouyban, A.; Chan, H.K.; Chew, N.Y.; Khoubnasabiafari, N.; Acree, W.E., Jr. Solubility prediction of paracetamol in binary and ternary solvent mixtures using Jouyban-Acree model. Chem. Pharm. Bull. 2006, 54, 428–431. [Google Scholar] [CrossRef] [Green Version]
  63. Jouyban, A.; Acree, W.E., Jr. In silico prediction of drug solubility in water-ethanol mixtures using Jouyban-Acree model. J. Pharm. Pharm. Sci. 2006, 9, 262–269. [Google Scholar]
  64. Khoubnasabjafari, M.; Shayanfar, A.; Martínez, F.; Acree, W.E., Jr.; Jouyban, A. Generally trained models to predict solubility of drugs in carbitol + water mixtures at various temperatures. J. Mol. Liq. 2016, 219, 435–438. [Google Scholar] [CrossRef]
  65. Jouyban, A.; Fakhree, M.A.A.; Acree, W.E., Jr. Comment on “Measurement and correlation of solubilities of (Z)-2-(2-aminothiazol-4-yl)-2-methoxyiminoacetic acid in different pure solvents and binary mixtures of water + (ethanol, methanol, or glycol)”. J. Chem. Eng. Data 2012, 57, 1344–1346. [Google Scholar] [CrossRef]
  66. Jouyban-Gharamaleki, A.; Hanaee, J. A novel method for improvement of predictability of the CNIBS/R-K equation. Int. J. Pharm. 1997, 154, 245–247. [Google Scholar] [CrossRef]
Sample Availability: Samples of the compound PPN are available from the authors.
Figure 1. Chemical structure of piperine (PPN).
Figure 1. Chemical structure of piperine (PPN).
Molecules 25 02743 g001
Figure 2. Comparison of mole fraction solubility of PPN in (A) pure water and (B) pure Transcutol-HP (THP) with reported solubilities at “T = 298.2 K to 318.2 K”; the symbol Molecules 25 02743 i001 shows the experimental mole fraction solubility of PPN in (A) pure water and (B) pure THP, and the symbol Molecules 25 02743 i002 shows the reported solubilities of PPN in (A) pure water and (B) pure THP taken from reference [38].
Figure 2. Comparison of mole fraction solubility of PPN in (A) pure water and (B) pure Transcutol-HP (THP) with reported solubilities at “T = 298.2 K to 318.2 K”; the symbol Molecules 25 02743 i001 shows the experimental mole fraction solubility of PPN in (A) pure water and (B) pure THP, and the symbol Molecules 25 02743 i002 shows the reported solubilities of PPN in (A) pure water and (B) pure THP taken from reference [38].
Molecules 25 02743 g002
Figure 3. Effect of mass fraction of THP (m) on solubility of PPN at “T = 298.2–318.2 K”.
Figure 3. Effect of mass fraction of THP (m) on solubility of PPN at “T = 298.2–318.2 K”.
Molecules 25 02743 g003
Figure 4. Correlation of experimental solubility values of PPN with “Apelblat model” in different “THP + water” mixtures at “T = 298.2–318.2 K”; Apelblat model solubility values of PPN are represented by solid lines, and experimental solubility values of PPN are represented by the symbols.
Figure 4. Correlation of experimental solubility values of PPN with “Apelblat model” in different “THP + water” mixtures at “T = 298.2–318.2 K”; Apelblat model solubility values of PPN are represented by solid lines, and experimental solubility values of PPN are represented by the symbols.
Molecules 25 02743 g004
Table 1. Experimental solubilities (xe) of piperine (PPN) in mole fraction in different “Transcutol-HP (THP) + water” mixtures (m) at “T = 298.2–318.2 K” and “p = 0.1 MPa” a.
Table 1. Experimental solubilities (xe) of piperine (PPN) in mole fraction in different “Transcutol-HP (THP) + water” mixtures (m) at “T = 298.2–318.2 K” and “p = 0.1 MPa” a.
mxe
T = 298.2 KT = 303.2 KT = 308.2 KT = 313.2 KT = 318.2 K
0.01.03 × 10−51.17 × 10−51.31 × 10−51.47 × 10−51.59 × 10−5
0.12.57 × 10−52.85 × 10−53.19 × 10−53.55 × 10−53.80 × 10−5
0.26.20 × 10−56.88 × 10−57.61 × 10−58.40 × 10−59.01 × 10−5
0.31.59 × 10−41.71 × 10−41.86 × 10−41.99 × 10−42.15 × 10−4
0.43.71 × 10−44.07 × 10−44.42 × 10−44.79 × 10−45.09 × 10−4
0.59.06 × 10−49.80 × 10−41.08 × 10−31.16 × 10−31.25 × 10−3
0.62.23 × 10−32.39 × 10−32.56 × 10−32.74 × 10−32.88 × 10−3
0.75.40 × 10−35.74 × 10−36.10 × 10−36.51 × 10−36.80 × 10−3
0.81.35 × 10−21.40 × 10−21.47 × 10−21.55 × 10−21.63 × 10−2
0.93.26 × 10−23.37 × 10−23.53 × 10−23.70 × 10−23.87 × 10−2
1.07.88 × 10−28.12 × 10−28.44 × 10−28.79 × 10−29.10 × 10−2
xidl5.13 × 10−26.02 × 10−27.06 × 10−28.26 × 10−29.63 × 10−2
a The relative uncertainties ur are ur(T) = 0.010, ur(m) = 0.001%, u(p) = 0.003 and ur(xe) = 0.11.
Table 2. Activity coefficients (γi) of PPN in different “THP + water” mixtures (m) at “T = 298.2–318.2 K”.
Table 2. Activity coefficients (γi) of PPN in different “THP + water” mixtures (m) at “T = 298.2–318.2 K”.
mγi
T = 298.2 KT = 303.2 KT = 308.2 KT = 313.2 KT = 318.2 K
0.04980.005150.005380.005620.006050.00
0.11995.202108.922215.742339.592533.27
0.2827.00875.00927.00984.001070.00
0.3322.00353.00380.00416.00448.00
0.4138.00148.00160.00173.00189.00
0.556.6061.4065.5071.4077.30
0.623.0025.2027.6030.2033.40
0.75.405.746.106.516.80
0.83.814.314.825.335.92
0.91.571.792.002.232.49
1.00.650.740.830.941.06
Table 3. Results of “Van’t Hoff model” for PPN in “THP + water” combinations (m) b.
Table 3. Results of “Van’t Hoff model” for PPN in “THP + water” combinations (m) b.
mabR2RMSD (%)Overall RMSD (%)
0.0−4.45−2093.600.99601.11
0.1−4.20−1897.300.99630.91
0.2−3.65−1799.000.99730.70
0.3−3.98−1421.500.99820.33
0.4−2.83−1509.300.99680.62
0.5−1.90−1520.500.99810.770.65
0.6−1.95−1238.700.99850.42
0.7−1.49−1112.000.99730.42
0.8−1.24−916.750.99350.56
0.9−0.64−829.340.99321.01
1.0−0.21−696.210.99600.31
b The average relative uncertainties are u(a) = 0.30 and u(b) = 0.07.
Table 4. Results of “Apelblat model” for PPN in “THP + water” combinations (m) c.
Table 4. Results of “Apelblat model” for PPN in “THP + water” combinations (m) c.
mABCR2RMSD (%)Overall RMSD (%)
0.0331.19−17,505.00−49.840.99950.78
0.1224.66−12,407.50−33.980.99820.73
0.2217.93−11,974.50−32.900.99930.58
0.3−105.093214.87 15.01 0.99880.57
0.4228.14−12,114.70 −34.29 0.99990.60
0.545.42−3697.43−7.020.99810.450.54
0.687.58−5351.77−13.290.99910.34
0.784.34−5054.78−12.740.99810.44
0.8−157.866268.7923.260.99780.61
0.9−157.976388.7323.360.99850.45
1.0−84.703179.6112.540.99820.47
c The average relative uncertainties are u(A) = 0.92, u(B) = 1.54 and u(C) = 0.90.
Table 5. Results of “Yalkowsky–Roseman model” for PPN in different “THP + water” mixtures (m) at “T = 298.2–318.2 K”.
Table 5. Results of “Yalkowsky–Roseman model” for PPN in different “THP + water” mixtures (m) at “T = 298.2–318.2 K”.
mLog xYalRMSD (%)Overall RMSD (%)
T = 298.2 KT = 303.2 KT = 308.2 KT = 313.2 KT = 318.2 K
0.1−4.59−4.54−4.50−4.45−4.421.21
0.2−4.21−4.16−4.12−4.07−4.040.46
0.3−3.82−3.77−3.74−3.69−3.672.81
0.4−3.43−3.39−3.35−3.32−2.290.91
0.5−3.04−3.01−2.97−2.94−2.912.271.24
0.6−2.65−2.62−2.59−2.56−2.541.11
0.7−2.26−2.24−2.21−2.18−2.160.38
0.8−1.88−1.85−1.83−1.81−1.791.31
0.9−1.49−1.47−1.45−1.43−1.410.78
Table 6. Results of “Jouyban–Acree” and “Jouyban–Acree–Van’t Hoff” models for PPN in “THP + water” combinations.
Table 6. Results of “Jouyban–Acree” and “Jouyban–Acree–Van’t Hoff” models for PPN in “THP + water” combinations.
SystemJouyban–AcreeJouyban–Acree–Van’t Hoff
A1–0.21
PEG-400 + waterJi–14.43B1–696.21
A2–4.45
B2–2093.60
RMSD (%)0.42Ji–16.42
0.54
Table 7. List of materials used.
Table 7. List of materials used.
MaterialMolecular FormulaMolar Mass (g mol−1)CAS Registry No.Purification MethodMass Fraction PurityAnalysis MethodAnalysis MethodSource
PPNC17H19NO3285.3494-62-2None>0.99HPLCHPLCSigma Aldrich
THPC6H14O3134.17111-90-0None>0.99GCGCGattefosse
WaterH2O18.077732-18-5None---Milli-Q
Purity and method of analysis were provided by supplier of each material.

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Shakeel, F.; Haq, N.; Alshehri, S. Solubility Data of the Bioactive Compound Piperine in (Transcutol + Water) Mixtures: Computational Modeling, Hansen Solubility Parameters and Mixing Thermodynamic Parameters. Molecules 2020, 25, 2743. https://doi.org/10.3390/molecules25122743

AMA Style

Shakeel F, Haq N, Alshehri S. Solubility Data of the Bioactive Compound Piperine in (Transcutol + Water) Mixtures: Computational Modeling, Hansen Solubility Parameters and Mixing Thermodynamic Parameters. Molecules. 2020; 25(12):2743. https://doi.org/10.3390/molecules25122743

Chicago/Turabian Style

Shakeel, Faiyaz, Nazrul Haq, and Sultan Alshehri. 2020. "Solubility Data of the Bioactive Compound Piperine in (Transcutol + Water) Mixtures: Computational Modeling, Hansen Solubility Parameters and Mixing Thermodynamic Parameters" Molecules 25, no. 12: 2743. https://doi.org/10.3390/molecules25122743

APA Style

Shakeel, F., Haq, N., & Alshehri, S. (2020). Solubility Data of the Bioactive Compound Piperine in (Transcutol + Water) Mixtures: Computational Modeling, Hansen Solubility Parameters and Mixing Thermodynamic Parameters. Molecules, 25(12), 2743. https://doi.org/10.3390/molecules25122743

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