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Article

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

1
Center for Physical and Chemical Analysis, Xinjiang University, Urumqi 830046, China
2
Key Laboratory of Coal Cleaning Conversion and Chemical Engineering Process, Xinjiang Uyghur Autonomous Region, College of Chemistry and Chemical Engineering, Xinjiang University, Urumqi 830046, China
*
Authors to whom correspondence should be addressed.
Molecules 2019, 24(7), 1346; https://doi.org/10.3390/molecules24071346
Submission received: 6 March 2019 / Revised: 31 March 2019 / Accepted: 4 April 2019 / Published: 5 April 2019

Abstract

:
The physicochemical properties of four 1-alkyl-3-methylimidazolium bromide ([CnC1im]Br, n = 5, 6, 7, 8) ionic liquids (ILs) were investigated in this work by using inverse gas chromatography (IGC) from 303.15 K to 343.15 K. Twenty-eight organic solvents were used to obtain the physicochemical properties between each IL and solvent via the IGC method, including the specific retention volume and the Flory–Huggins interaction parameter. The Hildebrand solubility parameters of the four [CnC1im]Br ILs were determined by linear extrapolation to be δ 2 ( [ C 5 C 1 im ] Br ) = 25.78 (J·cm−3)0.5, δ 2 ( [ C 6 C 1 im ] Br ) = 25.38 (J·cm−3)0.5, δ 2 ( [ C 7 C 1 im ] Br ) =24.78 (J·cm−3)0.5 and δ 2 ( [ C 8 C 1 im ] Br ) = 24.23 (J·cm−3)0.5 at room temperature (298.15 K). At the same time, the Hansen solubility parameters of the four [CnC1im]Br ILs were simulated by using the Hansen Solubility Parameter in Practice (HSPiP) at room temperature (298.15 K). The results were as follows: δ t ( [ C 5 C 1 im ] Br ) = 25.86 (J·cm−3)0.5, δ t ( [ C 6 C 1 im ] Br ) = 25.39 (J·cm−3)0.5, δ t ( [ C 7 C 1 im ] Br ) = 24.81 (J·cm−3)0.5 and δ t ( [ C 8 C 1 im ] Br ) = 24.33 (J·cm−3)0.5. These values were slightly higher than those obtained by the IGC method, but they only exhibited small errors, covering a range of 0.01 to 0.1 (J·cm−3)0.5. In addition, the miscibility between the IL and the probe was evaluated by IGC, and it exhibited a basic agreement with the HSPiP. This study confirms that the combination of the two methods can accurately calculate solubility parameters and select solvents.

Graphical Abstract

1. Introduction

Ionic liquids (ILs), as demonstrated by green and neoteric solvent research in recent years [1,2], are salts that are commonly made up of asymmetric organic cations, and either inorganic or organic anions [3]. ILs have been widely used as novel electrolytes, separation solvents, and reaction media [4,5], due to their excellent thermal stability, adjustable density, low melting point, strong solvation and high electrochemical stability [6,7]. However, their cost and high viscosity hinders their application. Knowledge about the thermophysical properties of each ionic liquid is essential for scaling up its potential applications. Moreover, 1-alkyl-3-methylimidazolium bromides ([CnC1im]Br) are one of the most commonly investigated types of ILs, solely for their use as an intermediate compound. Ma [8] separated algae within an entire aquatic ecosystem, according to their stability and high solubility of [CnC1im]Br (n = 4, 6, 8, 10, 12). In addition, he found that the acute toxicities of these ionic liquids were positively correlated with the alkyl chain length of imidazolium-based ILs. This indicated that [C12C1im]Br-separated algae was the best, and it could be stored in purified water. Ekka [9] removed Pb(II) from an aqueous solution using [CnC1im]Br (n = 4, 10, 16) as a template-synthesized mesoporous silica, because [CnC1im]Br has a high thermal stability, and it is reusable and amphiphilic. The results showed that the ILs bearing a longer alkyl chain [(C16C1im)Br] were suitable adsorbents for Pb (II) removal, due to their surface area increasing with the increase of carbon chain length. The use of ILs is of great significance in promoting the removal of metals from water.
For a clearer understanding of how the intermolecular interactions of two components influence their applications, many researchers have studied different parameters that are relevant to ILs [10]. The Flory–Huggins interaction parameter ( χ 12 ) is a vital tool that is used to predict the thermodynamic state of ILs and select suitable solvents [11]. The Hildebrand solubility parameter ( δ 2 ) is a physical and chemical parameter that is inherent to a substance, which is commonly used in the formulation design, chemical additive distribution, solvent selection, and system stability studies and membrane penetration [12,13]. The Hildebrand solubility parameter is usually obtained by dynamic mechanical analysis, titration methods, swelling measurements, group contribution calculation methods, and viscosity measurements [14,15]. However, these methods are often time-consuming and laborious. Thus, inverse gas chromatography (IGC) has been applied to the study of the thermodynamic properties of polymers, carbon blacks, ILs, and other materials [16,17]. In addition, Dr. Charles M. Hansen has proposed the Hansen solubility parameter (HSP) theory, which splits the Hildebrand solubility parameter into three parts: the dispersive interactions, δ D , the polar interactions, δ P , and the hydrogen bonding interactions, δ H . Furthermore, he has developed software known as the Hansen Solubility Parameter in Practice (HSPiP) [18], which uses a genetic algorithm to calculate HSPs [19]. Recently, Ni [20] researched the solubility parameters of alkali lignins using IGC and HSPiP, and found that acetone was a moderately suitable solvent for alkali lignins. It has been confirmed that IGC and HSPiP can be used to determine the solubility parameters of materials, and they are useful for solvent selection. Yu [21] determined the solubility parameters of [CnC1im][OAC] (n = 2, 4, 6, 8) by IGC and HSPiP, and found that the results were the same. This provides another method for determining the solubility parameters of ILs. Liu [22] has researched the HSP of hydrogenated nitrile rubber (HNBR) by IGC and HSPiP, and has calculated the energy differences (Ra) between HNBR and solvents or solvent mixtures according to their HSP values. In addition, he found that the swelling volume decreases with increasing Ra values. Therefore, it may be possible to use HSP to predict the swelling phenomena of cured rubber articles in mixed fluids, such as bio-fuels or lubricants. However, solubility parameter data that are related to [CnC1im]Br (n = 5, 6, 7, 8) have not been reported.
In this study, a widely used method, the IGC method, is proposed for the calculation of the miscibility and δ 2 of ILs in various solvents. In addition, HSPiP software is used to calculate the miscibilities and HSPs of four ILs via solubility testing, and a comparative study with the results derived from the IGC is performed.

2. Results

2.1. Hildebrand Solubility Parameter

2.1.1. Miscibility of the IL and the Probe

The specific retention volume, V g 0 , at the zero-pressure standard state was determined experimentally from Equation (1) [23,24], which is:
V g 0 = 273.15 m T a F P 0 P w P 0 ( t r t 0 ) 3 2 ( P i / P 0 ) 2 1 ( P i / P 0 ) 3 1
where tr is the retention time of the probe, Ta is the room temperature, and F is the flow rate of carrier gas, m is the mass of the IL on the column, t0 is the retention time of the non-interacting probe, Pw represents the saturated vapor pressure, and P0 and Pi are the outlet and inlet pressures of the column, respectively.
The specific retention volume, V g 0 , is an important term used in determining the thermodynamic parameters of the IL by the IGC. V g 0 of 28 probes on four ILs from 303.15 K to 343.15 K were calculated by Equation (1). The results are listed in Table S1. To obtain the retention graph of the probes, In V g 0 was plotted with the temperatures from 303.15 K to 343.15 K. For [C5C1im]Br, Figure 1 demonstrates that the In V g 0 value decreased with increasing temperature. In addition, a linear relationship between the probe and [C5C1im]Br was obtained within the range of the experimental temperature. This results indicated that a balance had been established between the probe and [C5C1im]Br. For the n-alkane series, the V g 0 increased as the numbers of CH2 groups increased because of the increase of the interaction forces between the IL and the probe caused by the greater amount of CH2 added into the probe.
The Flory–Huggins interaction parameter, χ 12 , which was obtained using IGC experiments, was calculated by using the expression [13,25].
χ 12 = ln ( 273.15 R V 2 P 1 0 V g 0 V 1 ) 1 P 1 0 ( B 11 V 1 ) R T
where V2 is the specific volume of the IL, T is the column temperature, V1 is the molar volume of the probes, P 1 0 represents the probe vapor pressure at the column temperature, R represents the gas constant, and B11 is the second viral coefficient of the probe, where the probe solvent solubility parameter, δ1, can be obtained from the literature acquired by using Equation (3) [26], which is:
B 11 / V c = 0.430 0.886 ( T c / T ) 0.694 ( T c / T ) 2 0.0375 ( n 1 ) ( T c / T ) 4.5
where Vc is the critical molar volume of the solvent, Tc represents the critical temperature of the solvent [27], and n is the number of carbon atoms in the solute.
The Flory–Huggins interaction parameter, χ 12 , plays a significant role in predicting the miscibility between the IL and the probe. The χ 12 values were calculated according to Equation (2), as listed in Table 1, which shows that χ 12 of some probes, such as thiophene, increased when the temperature increased. However, χ 12 of other probes, such as n-butyl benzene, o-xylene, m-xylene, p-xylene, ethyl benzene, toluene, nitromethane, methanol, ethanol, n-propyl benzene, cyclohexene, octene, pentanone, 3-pentanone, propanol, benzene, isopropanol, butanol, n-C6 to n-C12, 2-butanol, and isobutanol decreased when the temperature increased. The reasons for this change in χ 12 may include: enthalpy, χ H , and entropic, χ S [28]. χ H is related to the intermolecular forces between the IL and the probe, which gradually decrease with increasing temperature. Compared with the enthalpy, χ S displays an opposite, trend, and it is associated with the free solvent volume. The decrease in the χ 12 value means that the IL–probe interactions are becoming strong. According to the Flory–Huggins theory, an χ 12 value below 0.5, indicates that the IL and the probe are completely miscible. By contrast, an χ 12 value above 0.5 indicates that the IL and probe are insoluble or partially dissolved. In other words, a low χ 12 value reflects good compatibility. The following rules have been developed for the system [29,30]: an χ 12 value that is lower than 0.5 indicates that the solvent is good, and a value of between 0.5 and 1 indicates a moderately suitable solvent, whereas a χ 12 value that is larger than 1 indicates a poor solvent. The results are listed in Table 1. The χ 12 values indicated that nitromethane, methanol, ethanol, butanol, thiophene, 2-butanol, isopropanol, propanol, and isobutanol were excellent solvents for all of the examined ILs. By contrast, n-propyl benzene, cyclohexene, ethyl benzene, o-xylene, m-xylene, p-xylene, the n-alkanes (n-C6 to n-C12), octane, and n-butyl benzene were poor solvents for all of the examined ILs. Table 1 shows that at the same temperature, the best solvents for dissolving the four ILs were alcohols, followed by benzenes and n-alkanes. This finding was related to the polarities of the solvents.

2.1.2. The Hildebrand Solubility Parameter

The Hildebrand solubility parameter is defined as the square root of the cohesive energy (CED) [31].
δ 1 = ( Δ E v V 1 ) 1 / 2 = ( Δ H v R T V 1 ) 1 / 2 = ( C E D ) 1 / 2
where Δ E v is the energy of vaporization, V1 is the molar volume, and Δ H v is molar enthalpy of evaporation.
For the ILs, the calculation formula for the Hildebrand solubility parameter, δ2, was calculated using the following equation [32,33]:
( δ 1 2 R T χ 12 V 1 ) = ( 2 δ 2 R T ) δ 1 δ 2 2 R T
By plotting the left-hand side of Equation (5) as a function of the probe solubility parameter δ1 at different temperatures [34], δ2 was obtained from the slope of the straight line.
The variable δ2 plays a significant role in selecting solvents to dissolve or swell materials, judging the compatibility of blends, and selecting the pharmaceutical solvents. The δ2 for the IL [C5C1im]Br from 303.15 K to 343.15 K was calculated from δ 1 2 / R T χ 12 / V 1 versus δ1, as shown in Figure 2. The δ 1 2 / R T χ 12 / V 1 versus δ1 graphs for the three ILs are shown in Figures S1–S3. The δ2 of the four examined ILs and the literature are given in Table 2. As shown in Table 2, the increase of temperature from 303.15 to 343.15 K is accompanied by a decrease in the δ2 of the four ILs, varying within the ranges of 25.71–25.21 (J·cm−3)0.5, 25.32–24.82 (J·cm−3)0.5, 24.70–24.22 (J·cm−3)0.5, and 24.11–23.58 (J·cm−3)0.5, respectively. The δ2 shows a slight decrease with increasing temperature, something that has also been observed by Marciniak [35] and Moganty [36]. As the temperature increases, the δ2 values decrease, because the molar enthalpy of evaporation decreases with temperature, and the molar volume increases with temperature. We also found that δ2 decreases with increasing alkyl chain length at same temperature, due to the molar enthalpy of evaporation decreasing with the molar mass increase of cations, which is in agreement with the results reported by Alavianmehr [37] and Marciniak [38]. In other words, the more aliphatic the character of the imidazolium cation, the lower the solubility parameters. In addition, we were able to obtain the δ2 of the ILs at room temperature, using the extrapolation method, based on the relationship curve seen in Figure 3. The δ2 values of three ILs at 298.15 K are shown in Table 2. They also follow the rule: [C5C1im]Br > [C6C1im]Br > [C7C1im]Br > [C8C1im]Br.

2.2. Hansen Solubility Parameter

According to the HSP concept, the total solubility parameter ( δ t ) of an IL can be divided into partial solubility parameters, namely, polar ( δ P ), hydrogen bonding ( δ H ) and dispersion ( δ D ) [39,40,41]:
δ t 2 = δ D 2 + δ P 2 + δ H 2
The distance (Ra) between the solvent and the IL within a three-dimensional (3D) diagram was calculated using Equation (7) [42,43]:
R a = [ 4 ( δ D 1 δ D 2 ) 2 + ( δ P 1 δ P 2 ) 2 + ( δ H 1 δ H 2 ) 2 ] 1 / 2
The relative energy difference (RED), which plays a significant role in predicting the compatibility of the IL and the solvent, can be calculated by Equation (8):
R E D = R a / R 0
where R0 is the interaction radius of the IL, Ra is the distance between the solvent and center of the solubility sphere, δ i 1 represents the HSP for the IL, and δ i 2 is the HSP for the solvent. RED ≤ 1 indicates a good solvent, while a progressively higher RED value implies a poor solvent.
The double-sphere is divided into two domains (the blue solid blue ball at the center represents D1, and the green ball represents D2). The Hansen solubility parameters of the ILs can be acquired by Equation (9)–(11) [44], which are:
a = R 01 / ( R 01 + R 02 )
b = R 02 / ( R 01 + R 02 )
δ i ( Midpoint ) = a × δ i 1 + b × δ i 2
where δ i 1 and δ i 2 are the solubility parameters of the D1 and D2 domains, R01 are the interaction radii of the D1 domain, R02 represent the interaction radii of the D2 domain, and δ i (the Midpoint) is a solubility parameter that considers the volume of spheres.

2.2.1. Solubility Test for ILs

The solubility test results of each ionic liquid in 51 pure solvents are summarized in Table 3. We found that good and poor solvents could be obtained from the RED values. The four ILs were found to be poorly dissolved in n-propyl benzene, m-xylene, cyclohexene, o-xylene, ethyl benzene, p-xylene, n-C6, n-C7, n-C8, n-C9, n-C10, n-C11, n-C12, octane, and n-butyl benzene, whereas nitromethane, methanol, ethanol, butanol, thiophene, 2-butanol, isopropanol, propanol, and isobutanol were favorable solvents for the four examined ILs. These results are basically consistent with those derived from IGC, based on the χ 12 values. The determination of the miscibility between the IL and the probe by HSPiP is a supplement to the determination of IGC, due to the huge amount of HSPiP data. In practical applications, the combination of the two methods can accurately select solvents.

2.2.2. HSPs of the ILs

Considering [C5C1im]Br as an example, 51 solvents were used to dissolve this. The results of the 3D solubility parameter spheres and the two-dimensional (2D) graphs of the Hansen space are shown in Figure 4. From Figure 4a, we can see that the green sphere is [C5C1im]Br, the blue solid blue ball at the center represents the D1 domain, and the green ball represents D2. The blue ball points represent good solvents, and the red data points without the sphere represent solvents, which will, advantageously, not dissolve the IL. Moreover, we can clearly see the solvent distribution from the 2D graphs (Figure 4b). The graphs of HSPs for the other ILs are listed in Figures S4–S6. The simulation results of the four ILs are given in Table 4. The δt values of the four ILs fitted the following rule: [C5C1im]Br > [C6C1im]Br > [C7C1im]Br > [C8C1im]Br. The δ2 values of the ILs decreased with an increase of the alkyl chain. It should be added that the values δ2 of the four ILs obtained by the HSPiP were higher than those obtained by IGC. However, the results obtained by both methods were within an error range of 0.01–0.1 (J·cm−3)0.5. The harmony between the calculated and experimental values of the solubility parameters is remarkable. The IGC method calculates the δ2 values through a series of formulas, producing theoretical values, while the HSPiP method is based on solubility testing used to obtain the HSPs of ILs, producing experimental values, which are closer to the true values.

3. Materials and Methods

3.1. Materials

The 1-pentyl-3-methylimidazolium bromide ([C5C1im]Br), 1-hexyl-3-methylimidazolium bromide ([C6C1im]Br), 1-heptyl-3-methylimidazolium bromide ([C7C1im]Br), and 1-octyl-3-methylimidazolium bromide ([C8C1im]Br) were supplied by Chengjie Chemical Co., Ltd. (Shanghai, China). The water content and volatile compounds in the ILs were reduced by vacuum evaporation before the experiment. The vacuum evaporation pressure was 0.8 KPa, and the temperature was 363 K. The water content after vacuum evaporation was determined by using the Karl–Fisher titration technique [45], and the mass fraction of the water was less than 600 ppm. The required solvents for the experiment were purchased from J & K Scientific Ltd. (JULABO TitroLine 7750, Germany). All of the studied solvents were used without further purification. The solutes (J & K Scientific Ltd.) with purities better than 0.97 were used without further purification. The CASRN, initial mole fraction purity, initial mole fraction purity, source, and chemical name of the ILs are given in Table S2 in the Supplementary Materials.

3.2. Inverse Gas Chromatography

All experiments were performed on an Agilent 6890 gas chromatograph (Santa Clara, CA, USA) equipped with a flame ionization detector. The detector temperature was kept at 503.15 K and the injector was operated at 523.15 K during all of the experiments. Methane was used to determine the column holdup time, to calculate the retention times of the various probe solvents. High-purity nitrogen was used as a carrier gas, and the flow rate was 20 mL/min. The oven temperature was varied in 10 K intervals, between 303.15 and 343.15 K. Each experiment was repeated at least three times to check its reproducibility.
The stationary phase used in the experiments was prepared by dissolving a weighed sample of the IL in dichloromethane, and then adding it into a weighed amount of 102 silicon alkylation monomer support (80–100 mesh). The mixture was allowed to dry under a rotary evaporator by slow evaporation, to ensure a homogeneous mixture. The chromatographic column was a stainless steel column, with an inner diameter of 2 mm and a length of 1.2 m, and it was purchased from Dalian Ripley Technological Instruments Co., Ltd. (Dalian, China). The coated support was packed into the stainless steel column, and the stationary phase consisted of 20% IL, which was finally heated for 8 h under nitrogen conditions.

3.3. HSPiP Method

To determine the HSP of each IL, its interactions with 51 organic solutes were used to plot the Hansen spheres. A total of 0.2 g IL was placed in a test tube containing 2 mL test solvent. After thorough stirring, the solution was allowed to stand for 24 h at 298.15 K, and dissolution was visually observed. The solvents which could be categorized as good, i.e., those which were totally dissolved in the IL, were given a score of “1”, and poor solvents, which were partially dissolved or insoluble, were given a score of “0”. The experimental data were inputted via HSPiP (Ver.4.1.07, Louisville, KY, USA) to obtain the Hildebrand solubility parameters and HSPs of the ILs.

4. Conclusions

It is necessary to know the solubility parameters of ILs. In this study, the δ2 values of four ILs were calculated by IGC, and the HSPs of the ILs were determined using the HSPiP method, based on solubility testing. It was found that δ2 decreased with increasing alkyl chain length, as well as when the temperature increased. At room temperature, the δ2 values of the four [CnC1im]Br ILs considered were consistent across both methods. In addition, the miscibility between the IL and the probe was successfully determined, using χ 12 values and solubility testing, the results were basically consistent across both methods.

Supplementary Materials

The following are available online, Figure S1: Variation of the term δ 1 2 / R T χ 12 / V 1 with the solubility parameters of the solvent δ1 in [C6C1im]Br (a) at 303.15 K; (b) at 313.15 K; (c) at 323.15 K; (d) at 333.15 K.; (e) at 343.15 K, Figure S2: Variation of the term δ 1 2 / R T χ 12 / V 1 with the solubility parameters of the solvent δ1 in [C7C1im]Br (a) at 303.15 K; (b) at 313.15 K; (c) at 323.15 K; (d) at 333.15 K.; (e) at 343.15 K, Figure S3: Variation of the term δ 1 2 / R T χ 12 / V 1 with the solubility parameters of the solvent δ1 in [C8C1im]Br (a) at 303.15 K; (b) at 313.15 K; (c) at 323.15 K; (d) at 333.15 K.; (e) at 343.15 K, Figure S4: (a) The 3D graph with the coordinates of [C6C1im]Br; (b) The 2D graphs corresponding to the 3D graph of [C6C1im]Br. Figure S5: (a)The 3D graph with the coordinates of [C7C1im]Br; (b) The 2D graphs corresponding to the 3D graph of [C7C1im]Br. Figure S6: (a) The 3D graph with the coordinates of [C8C1im]Br; (b) The 2D graphs corresponding to the 3D graph of [C8C1im]Br, Table S1:The specific retention volume, V g 0 , between the probe and IL at various temperatures for the hypothetical liquids at zero pressure, Table S2: Probe description table.

Author Contributions

Writing—original draft preparation, Q.-N.Z.; data curation, Q.-N.Z.; writing—review and editing, Q.W., Q.-N.Z., Y.-B.H. and X.A.

Funding

This research was funded by the National Natural Science Foundation of China under Grant 21566036 and 21868037, 111 Project (D18022).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hayamizu, K.; Aihara, Y.; Nakagawa, H.; Nukuda, T.; Price, W.S. Ionic Conduction and Ion Diffusion in Binary Room-Temperature Ionic Liquids Composed of [emim][BF4] and LiBF4. J. Phys. Chem. B 2018, 108, 19527–19532. [Google Scholar] [CrossRef]
  2. Zeindlhofer, V.; Berger, M.; Steinhauser, O.; Schröder, C. A shell-resolved analysis of preferential solvation of coffee ingredients in aqueous mixtures of the ionic liquid 1-ethyl-3-methylimidazolium acetate. J. Chem. Phys. 2018, 148, 193819. [Google Scholar] [PubMed]
  3. Allal, F.; Mutelet, F.; Dahmani, A.; Saidat, B. Measurements of activity coefficients at infinite dilution of organic solutes in the ionic liquid 1-ethyl-3-methylimidazolium ethylphosphonate [EMIM][(EtO)(H)PO2] using gas-liquid chromatography. J. Mol. Liq. 2016, 220, 243–247. [Google Scholar] [CrossRef]
  4. Zhang, S.; Zhang, J.; Yan, Z.; Deng, Y. Nanoconfined Ionic Liquids. Chem. Rev. 2017, 117, 6755–6833. [Google Scholar] [CrossRef]
  5. Mu, L.; Shi, Y.; Guo, X.; Ji, T.; Chen, L.; Yuan, R.; Brisbin, L.; Wang, H.; Zhu, J. Non-corrosive green lubricants: Strengthened lignin–[choline][amino acid] ionic liquids interaction via reciprocal hydrogen bonding. RSC Adv. 2015, 5, 66067–66072. [Google Scholar] [CrossRef]
  6. Livi, S.; Duchet-Rumeau, J.; Gérard, J.F. Effect of Ionic Liquid Modified Synthetic Layered Silicates on Thermal and Mechanical Properties of High Density Polyethylene Nanocomposites. Macromol. Symp. 2015, 342, 46–55. [Google Scholar] [CrossRef]
  7. Zhan, Z.; Salih, A.A.M.; Li, M.; Yang, B. Synthesis and Characterization of Functionalized Ionic Liquids for Thermal Storage. Energy Fuels 2014, 28, 2802–2810. [Google Scholar] [CrossRef]
  8. Ma, J.M.; Cai, L.L.; Zhang, B.J.; Hu, L.W.; Li, X.Y.; Wang, J.J. Acute toxicity and effects of 1-alkyl-3-methylimidazolium bromide ionic liquids on green algae. Ecotoxicol. Environ. Saf. 2010, 73, 1465–1469. [Google Scholar] [CrossRef] [PubMed]
  9. Ekka, B.; Rout, L.; Kumar, M.K.S.A.; Patel, R.K.; Dash, P. Removal efficiency of Pb(II) from aqueous solution by 1-alkyl-3-methylimidazolium bromide ionic liquid mediated mesoporous silica. J. Environ. Chem. Eng. 2015, 3, 1356–1364. [Google Scholar] [CrossRef]
  10. Chen, L.; Han, J.; Ge, L.; Fan, L.; Guo, R. Improvement in lubricating properties of TritonX-100/n-C10H21OH/H2O lamellar liquid crystals with the amphiphilic ionic liquid 1-alkyl-3-methylimidazolium hexafluorophosphate. J. Colloid Interface Sci. 2018, 522, 200–207. [Google Scholar] [CrossRef] [PubMed]
  11. Santos, D.; Lourenço, É.; Santos, M.; Santos, J.P.; Franceschi, E.; Barison, A.; Mattedi, S. Properties of Aqueous Solutions of Ammonium-based ionic liquids and Thermodynamic modelling using Flory Theory. J. Mol. Liq. 2017, 229, 508–513. [Google Scholar] [CrossRef]
  12. Li, X.; Wang, Q.; Li, L.; Deng, L.; Zhang, Z.; Tian, L. Determination of the thermodynamic parameters of ionic liquid 1-hexyl-3-methylimidazolium chloride by inverse gas chromatography. J. Mol. Liq. 2014, 200, 139–144. [Google Scholar] [CrossRef]
  13. Chen, Y.; Wang, Q.; Zhang, Z.; Tang, J. Determination of the Solubility Parameter of Ionic Liquid 1-Hexyl-3-methylimidazolium Hexafluorophosphate by Inverse Gas Chromatography. Ind. Eng. Chem. Res. 2012, 51, 15293–15298. [Google Scholar] [CrossRef]
  14. Moghaddam, M.B.; Goharshadi, E.K.; Moosavi, F. Structural and transport properties and solubility parameter of graphene/glycerol nanofluids: A molecular dynamics simulation study. J. Mol. Liq. 2016, 222, 82–87. [Google Scholar] [CrossRef]
  15. Azmin, S.N.H.M.; Mustaffa, A.A.; Alwi, S.R.W.; Manan, Z.A.; Chua, L.S. Solubility Parameter Prediction for Kacip Fatimah Herb using Group Contribution-Based Models. Comput.-Aided Chem. Eng. 2014, 33, 1225–1230. [Google Scholar]
  16. Xia, Y.; Chen, J.; Wu, Z.; Wang, T.; Li, J. Measurement of solubility thermodynamic and diffusion kinetic characteristic of solvents in PDMS by inverse gas chromatography. Eur. Polym. J. 2015, 73, 259–267. [Google Scholar] [CrossRef]
  17. Niu, C.; Xia, W.; Peng, Y. Analysis of coal wettability by inverse gas chromatography and its guidance for coal flotation. Fuel 2018, 228, 290–296. [Google Scholar] [CrossRef]
  18. Peña-Gil, A.D.L.; Toro-Vazquez, J.F.; Rogers, M.A. Simplifying Hansen Solubility Parameters for Complex Edible Fats and Oils. Recent Adv. Food Sci. 2016, 11, 1–9. [Google Scholar] [CrossRef]
  19. Hansen, C.M. The three-dimensional solubility parameter—key to paint component affinities: Solvents, plasticizers, polymers, and resins. II. Dyes, emulsifiers, mutual solubility and compatibility, and pigments. III. Independent cal-culation of the parameter component. J. Paint Technol. 1967, 39, 505–510. [Google Scholar]
  20. Ni, H.; Ren, S.; Fang, G.; Ma, Y. Determination of Alkali Lignin Solubility Parameters by Inverse Gas Chromatography and Hansen Solubility Parameters. Bioresources 2016, 11, 4353–4368. [Google Scholar] [CrossRef]
  21. Kaile, Y.U.; Pan, X.; Zhang, Z.; Wang, Q. Determination of Solubility Parameters of Imidazolyl Acetate Ionic Liquid by Inverse Gas Chromatography and Hansen Solubility Parameters. Chem. Gaodeng Xuexiao Huaxue Xuebao 2018, 39, 1048–1054. [Google Scholar]
  22. Liu, G.; Hoch, M.; Wrana, C.; Kulbaba, K.; Qiu, G. A new way to determine the three-dimensional solubility parameters of hydrogenated nitrile rubber and the predictive power. Polym. Test. 2013, 32, 1128–1134. [Google Scholar] [CrossRef]
  23. Cruickshank, A.J.B.; Gainey, B.W.; Hicks, C.P.; Letcher, T.M.; Moody, R.W.; Young, C.L. Gas-liquid chromatographic determination of cross-term second virial coefficients using glycerol. Benzene + nitrogen and benzene + carbon dioxide at 50 °C. Trans. Faraday Soc. 1969, 65, 1014–1031. [Google Scholar] [CrossRef]
  24. Horváth, C. Physicochemical measurements by gas chromatography. Chromatographia 1980, 13, 712. [Google Scholar] [CrossRef]
  25. Wang, Q.; Chen, Y.; Zhang, Z.; Tang, J. Determination of Surface Characteristics of Ionic Liquid [1-Hexyl-3-methylimidazolium Hexafluorophosphate] by Inverse Gas Chromatography. J. Chem. Eng. Data 2013, 58, 2142–2146. [Google Scholar] [CrossRef]
  26. Mcglashan, M.L.; Potter, D.J.B. An Apparatus for the Measurements of the Second Virial Coefficient Using Glycerol. Proc. R. Soc. 1951, 267, 448–456. [Google Scholar]
  27. Cox, K.R.; Chapman, W.G. The Properties of Gases and Liquids, 5th ed.; Poling, B.E., Prausnitz, J.M., O’Connell, J.P., Eds.; McGraw-Hill: New York, NY, USA, 2001. [Google Scholar]
  28. Blanks, R.F.; Prausnitz, J. Thermodynamics of polymer solubility in polar and nonpolar systems. Ind. Eng. Chem. Fundam. 1964, 3, 1–8. [Google Scholar] [CrossRef]
  29. Yazıcı, D.T.; Aşkın, A.; Bütün, V. GC Investigation of the Solubility Parameters of Water-Soluble Homopolymers and Double-Hydrophilic Diblock Copolymers. Chromatographia 2008, 67, 741–747. [Google Scholar] [CrossRef]
  30. Yazici, O.; Cakar, F.; Cankurtaran, O.; Karaman, F. Determination of crystallinity ratio and some physicochemical properties of poly (4-methyl-1-pentene). J. Appl. Polym. Sci. 2009, 113, 901–906. [Google Scholar] [CrossRef]
  31. Weerachanchai, P.; Chen, Z.; Leong, S.S.J.; Chang, M.W.; Lee, J.M. Hildebrand solubility parameters of ionic liquids: Effects of ionic liquid type, temperature and DMA fraction in ionic liquid. Chem. Eng. J. 2012, 213, 356–362. [Google Scholar] [CrossRef]
  32. Voelkel, A.; Kopczyński, T. Inverse gas chromatography in the examination of organic compounds: Polarity and solubility parameters of isoquinoline derivatives. J. Chromatogr. A 1998, 795, 349–357. [Google Scholar] [CrossRef]
  33. Voelkel, A.; Janas, J. Attempts to use Laffort’s solubility factors as polarity parameters for organic compounds in inverse gas chromatography. J. Chromatogr. A 1991, 555, 205–210. [Google Scholar] [CrossRef]
  34. Kwei, T.K. CRC Handbook of Polymer–Liquid Interaction Parameters and Solubility Parameters; CRC Press: Brooklyn, NY, USA, 1990. [Google Scholar]
  35. Marciniak, A. The Hildebrand Solubility Parameters of Ionic Liquids—Part 2. Int. J. Mol. Sci. 2011, 12, 3553–3575. [Google Scholar] [CrossRef] [Green Version]
  36. Moganty, S.S.; Baltus, R.E. Regular Solution Theory for Low Pressure Carbon Dioxide Solubility in Room Temperature Ionic Liquids: Ionic Liquid Solubility Parameter from Activation Energy of Viscosity. Ind. Eng. Chem. Res. 2010, 49, 5846–5853. [Google Scholar] [CrossRef]
  37. Alavianmehr, M.M.; Hosseini, S.M.; Mohsenipour, A.A.; Moghadasi, J. Further property of ionic liquids: Hildebrand solubility parameter from new molecular thermodynamic model. J. Mol. Liq. 2016, 218, 332–341. [Google Scholar] [CrossRef]
  38. Marciniak, A. The solubility parameters of ionic liquids. Int. J. Mol. Sci. 2010, 11, 1973–1990. [Google Scholar] [CrossRef]
  39. Benazzouz, A.; Moity, L.; Pierlot, C.; Molinier, V.; Aubry, J.-M. Hansen approach versus COSMO-RS for predicting the solubility of an organic UV filter in cosmetic solvents. Colloids Surf. A 2014, 458, 101–109. [Google Scholar] [CrossRef]
  40. Domingues, R.C.C.; Pereira, C.C.; Borges, C.P. Morphological control and properties of poly(lactic acid) hollow fibers for biomedical applications. J. Appl. Polym. Sci. 2017, 134, 454941–4549410. [Google Scholar] [CrossRef]
  41. Huth, M.; Chen, C.-W.; Köhling, J.; Wagner, V. Influence of Hansen solubility parameters on exfoliation of organophilic fluoromica. Appl. Clay Sci. 2018, 161, 412–418. [Google Scholar] [CrossRef]
  42. Sato, T.; Araki, S.; Morimoto, M.; Tanaka, R.; Yamamoto, H. Comparison of Hansen Solubility Parameter of Asphaltenes Extracted from Bitumen Produced in Different Geographical Regions. Energy Fuels 2014, 28, 891–897. [Google Scholar] [CrossRef]
  43. Bonnet, J.; Suissa, G.; Raynal, M.; Bouteiller, L. Organogel formation rationalized by Hansen solubility parameters: Dos and don’ts. Soft Matter 2014, 10, 3154–3160. [Google Scholar] [CrossRef] [PubMed]
  44. Agata, Y.; Yamamoto, H. Determination of Hansen Solubility Parameters of Ionic Liquids Using Double-Sphere Type of Hansen Solubility Sphere Method. Chem. Phys. 2018, 513, 165–173. [Google Scholar] [CrossRef]
  45. Domańska, U.; Karpińska, M.; Zawadzki, M. Activity coefficients at infinite dilution for organic solutes and water in 1-ethyl-1-methylpyrrolidinium lactate. J. Chem. Thermodyn. 2015, 89, 127–133. [Google Scholar] [CrossRef]
Sample Availability: Samples of the compounds are not available from the authors.
Figure 1. [C5C1im]Br: Plot of In V g 0 versus 1000K/T for the probes: (a) n-C6, n-C7, n-C8, n-C9, n-C10, n-C11, n-C12; (b) benzene, toluene, o-xylene, m-xylene, ethyl benzene, n-propyl benzene, n-butyl benzene; (c) cyclohexene, octene, pentanone, 3-pentanone, thiophene, nitromethane, p-xylene; (d) methanol, ethanol, propanol, isopropanol, butanol, 2-butanol, isobutanol.
Figure 1. [C5C1im]Br: Plot of In V g 0 versus 1000K/T for the probes: (a) n-C6, n-C7, n-C8, n-C9, n-C10, n-C11, n-C12; (b) benzene, toluene, o-xylene, m-xylene, ethyl benzene, n-propyl benzene, n-butyl benzene; (c) cyclohexene, octene, pentanone, 3-pentanone, thiophene, nitromethane, p-xylene; (d) methanol, ethanol, propanol, isopropanol, butanol, 2-butanol, isobutanol.
Molecules 24 01346 g001
Figure 2. Variation of the term δ 1 2 / R T χ 12 / V 1 with solubility parameters of the solvent δ1 in [C5C1im]Br (a) at 303.15 K; (b) at 313.15 K; (c) at 323.15 K; (d) at 333.15 K; (e) at 343.15 K.
Figure 2. Variation of the term δ 1 2 / R T χ 12 / V 1 with solubility parameters of the solvent δ1 in [C5C1im]Br (a) at 303.15 K; (b) at 313.15 K; (c) at 323.15 K; (d) at 333.15 K; (e) at 343.15 K.
Molecules 24 01346 g002
Figure 3. The relation between the solubility parameters of four ILs, δ2, and the temperatures.
Figure 3. The relation between the solubility parameters of four ILs, δ2, and the temperatures.
Molecules 24 01346 g003
Figure 4. (a) The 3D graph with coordinates of [C5C1im]Br; (b)The 2D graphs corresponding to the 3D ones of [C5C1im]Br.
Figure 4. (a) The 3D graph with coordinates of [C5C1im]Br; (b)The 2D graphs corresponding to the 3D ones of [C5C1im]Br.
Molecules 24 01346 g004
Table 1. The Flory–Huggins interaction parameter, χ 12 between the probe and IL at various temperatures for the hypothetical liquid at zero pressure.
Table 1. The Flory–Huggins interaction parameter, χ 12 between the probe and IL at various temperatures for the hypothetical liquid at zero pressure.
ProbesILs χ 12
303.15 K313.15 K323.15 K333.15 K343.15 K
n-C6[C5C1im]Br3.33 3.22 3.16 2.96 2.91
[C6C1im]Br3.20 3.16 3.13 2.89 2.80
[C7C1im]Br3.00 2.85 2.82 2.79 2.71
[C8C1im]Br2.38 2.35 2.32 2.29 2.19
n-C7[C5C1im]Br3.27 3.18 3.13 3.06 2.99
[C6C1im]Br3.19 3.10 3.01 2.97 2.95
[C7C1im]Br2.94 2.81 2.77 2.71 2.65
[C8C1im]Br2.43 2.37 2.33 2.29 2.24
n-C8[C5C1im]Br3.26 3.19 3.13 3.09 3.04
[C6C1im]Br3.12 3.01 2.94 2.91 2.88
[C7C1im]Br2.97 2.73 2.69 2.67 2.65
[C8C1im]Br2.42 2.39 2.35 2.31 2.28
n-C9[C5C1im]Br3.39 3.30 3.22 3.16 3.10
[C6C1im]Br3.17 3.06 2.97 2.91 2.83
[C7C1im]Br3.02 2.93 2.84 2.77 2.70
[C8C1im]Br2.61 2.54 2.47 2.40 2.33
n-C10[C5C1im]Br3.47 3.38 3.28 3.20 3.13
[C6C1im]Br3.26 3.14 3.05 2.98 2.89
[C7C1im]Br3.13 3.02 2.94 2.86 2.79
[C8C1im]Br2.70 2.62 2.54 2.46 2.39
n-C11[C5C1im]Br3.62 3.51 3.41 3.33 3.23
[C6C1im]Br3.43 3.31 3.22 3.12 3.02
[C7C1im]Br3.31 3.18 3.09 3.00 2.91
[C8C1im]Br2.85 2.76 2.66 2.58 2.50
n-C12[C5C1im]Br3.76 3.63 3.55 3.44 3.34
[C6C1im]Br3.58 3.47 3.36 3.27 3.17
[C7C1im]Br3.49 3.36 3.26 3.13 3.06
[C8C1im]Br3.04 2.92 2.81 2.70 2.65
benzene[C5C1im]Br0.580 0.551 0.503 0.465 0.414
[C6C1im]Br0.646 0.603 0.582 0.539 0.486
[C7C1im]Br0.695 0.660 0.630 0.607 0.538
[C8C1im]Br0.781 0.758 0.733 0.696 0.640
toluene[C5C1im]Br0.892 0.850 0.822 0.742 0.699
[C6C1im]Br0.973 0.920 0.882 0.783 0.758
[C7C1im]Br1.04 0.980 0.844 0.826 0.808
[C8C1im]Br1.00 0.962 0.947 0.918 0.893
o-xylene[C5C1im]Br1.08 1.03 1.01 0.823 0.804
[C6C1im]Br1.14 1.07 1.05 0.909 0.865
[C7C1im]Br1.15 1.10 0.961 0.933 0.918
[C8C1im]Br1.10 1.06 1.03 1.00 0.970
m-xylene[C5C1im]Br1.32 1.27 1.24 1.04 1.02
[C6C1im]Br1.34 1.32 1.26 1.11 1.09
[C7C1im]Br1.16 1.11 1.10 1.09 1.07
[C8C1im]Br1.26 1.21 1.18 1.15 1.11
p-xylene[C5C1im]Br1.24 1.20 1.17 0.990 0.970
[C6C1im]Br1.27 1.20 1.14 1.06 1.00
[C7C1im]Br1.12 1.08 1.07 1.06 1.04
[C8C1im]Br1.23 1.18 1.16 1.12 1.09
ethyl benzene[C5C1im]Br1.23 1.20 1.13 0.957 0.933
[C6C1im]Br1.26 1.20 1.15 1.04 1.00
[C7C1im]Br1.13 1.05 1.04 1.03 1.00
[C8C1im]Br1.23 1.16 1.13 1.10 1.06
n-propyl benzene[C5C1im]Br1.56 1.48 1.44 1.25 1.21
[C6C1im]Br1.26 1.22 1.18 1.16 1.11
[C7C1im]Br1.34 1.29 1.24 1.20 1.17
[C8C1im]Br1.35 1.30 1.26 1.22 1.18
n-butyl benzene[C5C1im]Br1.82 1.75 1.69 1.47 1.42
[C6C1im]Br1.46 1.40 1.37 1.33 1.28
[C7C1im]Br1.47 1.41 1.34 1.31 1.28
[C8C1im]Br1.47 1.40 1.36 1.30 1.26
cyclohexene[C5C1im]Br2.28 2.08 2.05 2.02 1.92
[C6C1im]Br2.09 2.01 1.96 1.91 1.87
[C7C1im]Br2.15 2.02 1.98 1.92 1.90
[C8C1im]Br2.13 2.02 1.97 1.92 1.86
octene[C5C1im]Br3.11 2.95 2.93 2.89 2.82
[C6C1im]Br2.86 2.78 2.73 2.68 2.63
[C7C1im]Br2.71 2.59 2.57 2.50 2.47
[C8C1im]Br2.51 2.43 2.40 2.36 2.31
pentanone[C5C1im]Br0.648 0.560 0.536 0.510 0.494
[C6C1im]Br0.805 0.741 0.708 0.666 0.623
[C7C1im]Br0.933 0.842 0.811 0.794 0.775
[C8C1im]Br1.07 1.00 0.977 0.938 0.900
3-pentanone[C5C1im]Br0.836 0.788 0.770 0.739 0.703
[C6C1im]Br0.997 0.939 0.914 0.857 0.820
[C7C1im]Br1.13 1.05 1.01 0.994 0.970
[C8C1im]Br1.27 1.22 1.18 1.14 1.09
thiophene[C5C1im]Br−0.204−0.196−0.202−0.162−0.153
[C6C1im]Br−0.0210 −0.0170 −0.015 −0.0130 −0.006
[C7C1im]Br0.246 0.252 0.254 0.263 0.264
[C8C1im]Br0.481 0.494 0.538 0.584 0.645
nitromethane[C5C1im]Br−0.358 −0.404 −0.415 −0.443 −0.457
[C6C1im]Br−0.0602 −0.112 −0.140 −0.185 −0.198
[C7C1im]Br0.309 0.243 0.209 0.194 0.167
[C8C1im]Br0.666 0.566 0.503 0.457 0.414
methanol[C5C1im]Br−1.35 −1.39 −1.41 −1.43 −1.47
[C6C1im]Br−1.16 −1.17 −1.21 −1.25 −1.34
[C7C1im]Br−0.762 −0.799 −0.820 −0.841 −0.863
[C8C1im]Br−0.468 −0.543 −0.579 −0.601 −0.636
ethanol[C5C1im]Br−1.13 −1.17 −1.21 −1.26 −1.33
[C6C1im]Br−0.963 −1.01 −1.04 −1.06 −1.07
[C7C1im]Br−0.665 −0.693 −0.740 −0.761 −0.790
[C8C1im]Br−0.401 −0.496 −0.541 −0.575 −0.619
propanol[C5C1im]Br−1.16 −1.25 −1.27 −1.31 −1.35
[C6C1im]Br−1.04 −1.11 −1.17 −1.19 −1.21
[C7C1im]Br−0.815 −0.857 −0.894 −0.921 −0.956
[C8C1im]Br−0.540 −0.664 −0.732 −0.764 −0.816
isopropanol[C5C1im]Br−0.975 −1.032 −1.05 −1.08 −1.13
[C6C1im]Br−0.867 −0.914 −0.955 −0.988 −1.01
[C7C1im]Br−0.627 −0.676 −0.702 −0.722 −0.743
[C8C1im]Br−0.397 −0.487 −0.529 −0.562 −0.599
butanol[C5C1im]Br−1.01 −1.12 −1.17 −1.22 −1.27
[C6C1im]Br−0.889−0.969−0.997−1.03 −1.09
[C7C1im]Br−0.779−0.839−0.892−0.931−0.999
[C8C1im]Br−0.555−0.691−0.752−0.797−0.852
2-butanol[C5C1im]Br−1.00 −1.02 −1.06 −1.09 −1.13
[C6C1im]Br−0.863−0.883−0.907−0.955−1.008
[C7C1im]Br−0.735−0.781−0.800 −0.817−0.834
[C8C1im]Br−0.510 −0.615−0.658−0.690−0.710
isobutanol[C5C1im]Br−1.21 −1.25 −1.33 −1.38 −1.41
[C6C1im]Br−1.05 −1.13 −1.17 −1.20 −1.23
[C7C1im]Br−0.906 −0.982 −1.04 −1.07 −1.10
[C8C1im]Br−0.683 −0.822 −0.892 −0.939 −0.975
Standard uncertainties are as follows: u (T) = ± 0.5 K, u ( χ 12 ) = 0.03.
Table 2. The Hildebrand solubility parameter, δ2, of ILs at various temperatures taken from the literature for the hypothetical liquids at zero pressure.
Table 2. The Hildebrand solubility parameter, δ2, of ILs at various temperatures taken from the literature for the hypothetical liquids at zero pressure.
ILsT/(K)δ2/(J·cm−3)0.5Reference
[C4C1pip][SCN]298.1530.70[35]
318.1530.10
328.1529.80
338.1529.50
348.1529.10
358.1528.80
[C2C1im][TfO]283.1523.10[36]
298.1523.00
313.1522.90
[C4C1im][PF6]298.1529.80[37]
[C6C1im][PF6]298.1528.60
[C8C1im][PF6]298.1527.80
[C2C1im][BF4]298.1524.40[38]
[C4C1im][BF4]298.1524.30
[C6C1im][BF4]298.1523.30
[C4C1im][NTf2]298.1526.70
[C6C1im][NTf2]298.1525.60
[C8C1im][NTf2]298.1525.00
[C4C1im][SCN]298.1524.64
[C6C1im][SCN]298.1523.65
[C5C1im]Br298.1525.78 aIn this work
303.1525.71
313.1525.59
323.1525.48
333.1525.32
343.1525.21
[C6C1im]Br298.1525.38 aIn this work
303.1525.32
313.1525.19
323.1525.07
333.1524.91
343.1524.82
[C7C1im]Br298.1524.78 aIn this work
303.1524.70
313.1524.51
323.1524.35
333.1524.18
343.1524.02
[C8C1im]Br298.1524.23 aIn this work
303.1524.11
313.1524.06
323.1523.94
333.1523.75
343.1523.58
Standard uncertainties are as follows: u (T) = ±0.5 K, u (δ2) = 0.02 (J·cm−3)0.5. a: Obtained by extrapolation
Table 3. Solubility test results.
Table 3. Solubility test results.
SolventsHSP/(J·cm−3)0.5[C5C1im]Br[C6C1im]Br[C7C1im]Br[C8C1im]Br
δDδpδHScoreREDScoreREDScoreREDScoreRED
acetonitrile15.318.06.110.99510.88610.85711.165 a
2-butanol15.85.714.510.92510.93410.76810.642
butanol16.05.715.810.80010.77710.63210.591
tetrahydrofuran16.85.78.011.043 a10.90210.93510.977
isobutanol15.15.715.910.88210.88410.68010.516
ethylene glycol17.011.026.010.94410.75310.60510.914
isopropanol15.86.116.410.72410.69110.54610.501
dichloromethane17.07.37.110.90610.78110.84710.848
ethanol15.88.819.410.31710.32610.20110.387
pyridine19.08.85.910.79910.75110.85610.756
N,N-dimethyl formamide17.413.711.310.24310.25410.10010.299
methanol14.712.322.310.77810.71810.52710.794
nitromethane15.818.86.110.96710.88210.85011.152 a
thiophene18.92.47.811.352 a11.361 a11.381 a11.286 a
propanol16.06.817.410.56210.52610.41010.445
acetone15.510.47.010.87310.72910.77210.885
dimethyl sulfoxide18.416.410.210.65010.40810.33410.483
cyclohexanone17.88.45.110.89410.83310.94410.864
propylene oxide15.28.66.701.04501.07701.01401.043
methyl ethyl ketone16.09.05.101.00100.891 b00.966 b01.003
n-C915.70.00.002.08602.35302.36902.117
cyclohexene17.21.02.001.78701.83101.86501.786
cyclopentane16.40.01.801.93001.95601.97501.938
3-pentaone15.87.64.701.14701.08501.15001.145
n-C1015.70.00.002.08602.38702.40402.095
n-C614.90.00.002.14702.29802.30302.186
benzene18.40.02.001.86201.89601.92501.859
1,4-dioxane17.51.89.001.40401.41601.41401.339
n-C715.30.00.002.11502.30602.31702.149
o-xylene17.81.03.101.63502.13101.80801.642
chloroform17.83.15.701.35601.32201.36501.309
n-C1216.00.00.002.06702.42902.44902.117
p-xylene17.81.03.101.70501.80501.84101.690
n-butyl benzene17.40.11.101.92302.13102.16101.931
octene15.31.02.401.88002.05602.07201.892
n-C1116.00.00.002.06702.39902.41902.095
carbon tetrachloride17.80.00.601.95602.01002.03901.968
2,2,4-trimethylpentane14.10.00.002.22202.47202.46502.270
m-xylene17.82.62.801.64601.74501.7801.619
ethyl acetate15.85.37.201.20701.16701.19401.169
methyl acetate15.57.27.601.06401.06401.09901.036
methyl propionate15.56.57.701.12001.06201.08401.087
ethyl benzene17.80.61.401.99501.93601.96002.009
toluene18.01.42.001.73101.79301.83601.725
cyclohexane16.80.00.202.01202.09502.12002.033
pentaone16.07.64.701.12401.06201.13301.118
n-C815.50.00.002.10002.33102.34402.133
n-propyl benzene17.32.22.301.02201.02501.03401.286
methyl formate15.38.410.202.02301.03001.00801.319
n-C514.50.00.002.07302.28802.28802.226
ethyl propionate15.56.14.901.28301.26101.30801.275
a: Worry out, which means that the Hansen Solubility Parameter in Practice (HSPiP) software prediction should be in the sphere, contrary to the experimental result. b: Worry in, which means that the HSPiP software prediction should be out of the sphere, contrary to the experimental result.
Table 4. The HSP and Hildebrand solubility parameters of ILs at room temperature.
Table 4. The HSP and Hildebrand solubility parameters of ILs at room temperature.
ILsDomainδ/(J·cm−3)0.5R0Fits
δDδPδHδtδ2
[C5C1im]BrD116.8910.2818.8727.33-7.10.974
D218.4013.8510.5825.34 -8.7
Midpoint17.72 12.25 14.31 25.86 a 25.78 b-
[C6C1im]BrD117.00 8.80 20.30 27.91-7.40.962
D217.90 13.20 9.50 24.18-7.9
Midpoint17.46 11.07 14.72 25.39 a25.38 b-
[C7C1im]BrD117.50 7.20 18.60 26.55-10.40.957
D217.50 14.30 8.60 24.16-7.9
Midpoint17.50 10.27 14.28 24.81 a 24.75 b-
[C8C1im]BrD114.94 9.37 17.12 24.58 -7.50.943
D218.43 12.48 10.75 24.72-8.2
Midpoint16.76 10.99 13.79 24.33 a 24.23 b-
a: Obtained by simulation from the double-sphere type. b: Obtained by extrapolation from the IGC data. Standard uncertainties are as follows: u (δt) = 0.03.

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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. https://doi.org/10.3390/molecules24071346

AMA Style

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(7):1346. https://doi.org/10.3390/molecules24071346

Chicago/Turabian Style

Zhu, Qiao-Na, Qiang Wang, Yan-Biao Hu, and Xawkat Abliz. 2019. "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 24, no. 7: 1346. https://doi.org/10.3390/molecules24071346

APA Style

Zhu, Q. -N., Wang, Q., Hu, Y. -B., & Abliz, X. (2019). 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, 24(7), 1346. https://doi.org/10.3390/molecules24071346

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