Effect of choline-based ionic liquids as novel green solvents on the aqueous solubility enhancement and thermodynamic properties of acetaminophen

Effect of choline-based ionic liquids as novel green solvents on the aqueous solubility enhancement and thermodynamic properties of acetaminophen

Journal Pre-proof Effect of choline-based ionic liquids as novel green solvents on the aqueous solubility enhancement and thermodynamic properties of ...

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Journal Pre-proof Effect of choline-based ionic liquids as novel green solvents on the aqueous solubility enhancement and thermodynamic properties of acetaminophen

Masumeh Mokhtarpour, Negar Basteholia, Hemayat Shekaari, Mohammed Taghi Zafarani-Moattar PII:

S0167-7322(19)35951-3

DOI:

https://doi.org/10.1016/j.molliq.2020.112504

Reference:

MOLLIQ 112504

To appear in:

Journal of Molecular Liquids

Received date:

27 October 2019

Revised date:

28 December 2019

Accepted date:

14 January 2020

Please cite this article as: M. Mokhtarpour, N. Basteholia, H. Shekaari, et al., Effect of choline-based ionic liquids as novel green solvents on the aqueous solubility enhancement and thermodynamic properties of acetaminophen, Journal of Molecular Liquids(2018), https://doi.org/10.1016/j.molliq.2020.112504

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© 2018 Published by Elsevier.

Journal Pre-proof

Effect of choline-based ionic liquids as novel green solvents on the aqueous solubility enhancement and thermodynamic properties of acetaminophen Masumeh Mokhtarpour, Negar Basteholia, Hemayat Shekaari, Mohammed Taghi ZafaraniMoattar Department of Physical Chemistry, University of Tabriz, Tabriz, Iran

Abstract A highly efficient and ecofriendly co-solvency method using choline-based ionic liquids (ILs) as novel green solvents was developed to enhance aqueous solubility of acetaminophen (ACP).

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ACP is a drug that is widely used as an antipyretic analgesic in clinical practice and its paediatric

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use is common. In this study the solubility of ACP in aqueous choline lactate (ChLa) and choline bitartrate (ChBi) solutions were measured at different temperatures for the first time. The

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temperature and solvent composition dependence of ACP solubility was analyzed through the

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some important semi-empirical and activity coefficient models acquiring the average relative deviation percent as e-NRTL (0.39%) < Wilson (1.40%) < Apelblat (1.86%) < λh (Buchowski)

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(2.34%) < Yalkowsky (4.39%) for correlative investigations. We also examined the intermolecular interaction between ACP and co-solvents using thermodynamic properties

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including volumetric and compressibility properties based on density and speed of sound measurements at experimental temperatures. Thermodynamic parameters results show that there

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obtained solubility data.

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are strong interactions between ACP and ILs. Finally these results were further confirmed by the

Keywords: Choline-based ionic liquids; Solubility; Acetaminophen; Volumetric properties; Compressibility properties.



Corresponding author. Tel.: +98-41-33393094. Fax: +98-41-33340191.

E-mail address: [email protected] (H. Shekaari).

Journal Pre-proof 1. Introduction The level of interest in green technology in pharmaceutical science has improved in recent years because of its unique properties and environmental impacts [1, 2]. One of the most important issues for sustainable and green chemical practices is the use of environmentally friendly solvents having lowest impact on environment [3]. In this respect, a new generation of green solvents has been recently introduced which has applications in many fields of science [4,

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5]. These components were named ionic liquids (ILs) which are the organic salts that are liquids

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at ambient temperature due to their low melting point. They are chemically synthesized, non-

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volatile, and thermally stable and recyclable. The high cost, low biodegradability, bio-

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compatibility and sustainability are the difficulties of the traditional ILs. There is therefore a

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general need for introducing new ILs which can overcome drawbacks. In this regard, choline chloride (ChCl) based ILs are one of the most important and water soluble, biodegradable and in-

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expensive organic compounds. Researches on choline based ILs have attracted more and more

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attentions in recent decades as they possess many attractive benefits and properties and they have

sciences [6].

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been extensively used in many chemical processes including as solvents in pharmaceutical

Acetaminophen (ACP, Fig.1) has been used as an analgesic for pain relief and as an antipyretic agent by all age groups, because of its lesser harmful effects on human body [7, 8]. However, this drug exhibits low solubility in water (14 g∙L-1 at 298.15 K [9]), which affects many physicochemical properties and should be increased toward new formulations. There are various methodological approaches to increase the solubility of drugs including pH adjustment, co-solvency, surfactants and etc. Hence, solubilization using co-solvents is the most common

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Journal Pre-proof technique used in the pharmaceutical industry and these new ILs can be applied as sustainable co-solvents. A key aim of this work is to evaluate ACP solubility in the presence of two choline-based ILs + water at T = (298.15 to 313.15) K. The experimentally measured values were correlated using the e-NRTL [10], Wilson [11], Yalkowsky [12, 13] , λh (Buchowski) [14] and Modified Apelblat [15, 16] models. In next step, physicochemical and thermodynamic tests should be

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simultaneously conducted to better and deep understand the interactions between the drug and

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solvents and development of ILs applications in pharmaceutical sciences. Therefore, the density

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and speed of sound of the solutions containing ACP + water + IL were measured at (298.15 to

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313.15) K and applied to calculate some thermodynamic parameters such as the apparent molar volume, V , standard partial molar volume, V0 , apparent molar isentropic compressibility, κφ, and

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infinite dilution apparent molar isentropic compressibility,  0 values. The corresponding

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parameters obtained from the volumetric and compressibility calculations are useful in

2.1. Chemicals

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2. Experimental

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theoretical studies of solute-solvents interactions.

Acetaminophen used in this work was obtained from Zahravi pharmaceutical company (Tabriz, Iran), all chemicals and regents in analytical reagent grade used for ILs preparation were purchased from Merck (Germany) and Sigma-Aldrich. The choline chloride were dried then stored in desiccator before use. Deionized water was obtained by a Milli-Q water purification system (Millipore, Billerica, MA). The description of the material has been comprehensively reported in Table 1. Finally, we note that choline lactate was synthesized and then used in this study, but choline bitartrate was purchased from Sigma-Aldrich. 3

Journal Pre-proof 2.2. Preparation of the choline lactate The ILs was prepared as following: this synthesis is generally involves (1:1 mole ratio) choline hydroxide neutralization reaction and the second component (lactic acid). The dehydrating reaction is conducted at reduced pressure and high temperature (343.15 K) to obtain the pure salt. For example, a certain amount of ChLa was prepared by a slowly addition of lactic acid to 45% methanolic choline hydroxide solution in an ice bath. The reaction mixture was

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stirred overnight at room temperature then evaporated under reduced pressure [17].

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2.3. Apparatus and procedure

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2.3.1. Solubility measurement

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The commonly used methods for solubility measurements are available in literature [18]. The saturation shake-flask method [19] was applied in this work. The experimental data were

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measured at weight fractions ranging from 0.00 to 0.15 for used ILs. For this purpose, the solvent

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mixtures were prepared by combination of the appropriate masses of the pure solvents (water and ILs). Then, excess amounts of ACP were added to the solvents in glass vials under permanent

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stirring in a system with thermostat (ED, Julabo Co., Germany T = ±0.1 K). Initial experiments

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showed that an equilibrium period of 72 h was appropriate for measuring the solubility of the drug at temperature ranges (298.15 to 313.15) K. After this time the supernatant solutions were filtered through a 0.45 μm membrane (Durapore® membrane filters, type HV, 0.45 µm, Millipore, MA). Finally the absorbance of diluted solutions was recorded at 248 nm using a UV– Vis spectrophotometer (Biotech-Ultraspec 2000, England). Each data point shown is the average of at least three independent experiments. 2.3.2. Density measurement procedure

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Journal Pre-proof The binary solutions were prepared in water + IL mixtures with different concentrations based on ACP molal solubility (molkg–1). The solvent mixtures were obtained by weighting with the analytical balance (AW 220, GR220, Shimadzu, Japan) and the solutions were kept in sealed glass vials protected using parafilm. A vibrating tube densimeter (Anton Paar, DSA 5000 densimeter and speed of sound analyzer, Austria) was used to measure the densities of mixtures (ACP (1) + water (2) + IL (3)). Periodically between uses, the densimeter was calibrated to the

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correct reading by using ultra-pure water and dry air. Additionally, the solutions speed of sound

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is measured using a propagation time technique. In the precision each measurement, density and

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speed of sound and temperature were ± 3×10-3 kg∙m-3, ±0.01 m∙s-1 and ±10−3 K, respectively.

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3. Thermodynamic modeling

Attempts at modeling the solubility of solid solutes in solvent mixtures for the purpose of

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correlation or prediction have followed experimental studies. The purpose of this work is to

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present results of improvement of ACP solubility for pharmaceutical research and industries. The co-solvency models could be divided into three types including theoretical [20, 21], semi-

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empirical [22, 23] and empirical [24] ones. It has been shown that some of the proper co-

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solvency models to define the experimental solubility in solvent mixtures at different temperatures are the Apelblat [15, 16], λh [14], Yalkowsky [25], Wilson [11] and e-NRTL [26] models which provide adequate and suitable correlations for ACP in aqueous ILs solutions. The general properties of the used models are discussed in more detail as following. 3.1. Modified Apelblat equation The modified Apelblat equation is known as a semi-empirical model having three parameters. This model was used in this study to fit the experimental solubility data [29].

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Journal Pre-proof According to this model, the solubility of the drug can potentially change by variations in temperature and the Eq. (1) shows this [27]:

ln x1  A 

(1)

B  C ln T / K T/K

where A, B, and C are empirical constants. The values of A and B represent the variation the activity coefficient of the solutions components and the C value reveals the temperature impact

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on fusion enthalpy.

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3.2. λh (Buchowski) equation

Buchowski et al. [28] expressed the solubility behavior of solid component in liquid

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solvents as the Buchowski equation. This equation provided a good explanation for many solid –

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liquid systems using two adjustable parameters, λ and h, as reported in previous studies [30, 31].

1  x1 1 1 )  h (  ) x1 T / K Tm1 / K

(2)

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ln(1  

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This equation can be written as:

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where λ and h are two parameters and Tm1 is the melting temperature of ACP. The value of λ is recognized as the approximate mean association number of solute molecules, which shows the

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non-ideality of the solution system, and h estimates the excess mixing enthalpy of solution [28]. 3.3. Yalkowsky equation

The log-linear equation defines an exponential increase in drugs solubility with a linear increase in co-solvent amount in the solutions. This relationship is described algebraically by: ln x1mix  ln x1 water  w3

(3)

where x1-mix and x1-water are the total solute solubilities in the cos-olvent−water mixture and in water, respectively, σ is the co-solvent solubilization power for the particular co-solvent − solute system, and w3 is the weight fraction of the co-solvent in the aqueous mixture. 6

Journal Pre-proof 3. 4. Local composition models The next equation is used to express a solid-liquid equilibrium (SLE) framework [27]:  ln x1 

 fus H 1 1 (  )  ln  1 R T T fus

(4)

where T fus ,  fusH , T , x1 and  1 are: fusion temperature and enthalpy for the pure drug, the experimental temperature, equilibrium mole fraction, and the activity coefficient of the ACP in

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the saturated solutions, respectively. Moreover, the fusion enthalpy appears to be temperature

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independent. To correlate the solubility data of the present drug, the molar excess Gibbs energy,

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Gex, is identified as sum of two contributions in order to generalize the e-NRTL and Wilson for a

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multi component aqueous solution containing electrolytes,

(5)

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G ex* G ex*,LR G ex*,SR   RT RT RT

where superscript *, LR and SR, represent the asymmetric convention, long-range

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and short-range interactions, respectively. The extended version of the Pitzer–Debye–Hückel

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model, Gex*,PDH, proposed by Pitzer [28] can be used for the long-range contribution term. Also,

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in this study, the activity coefficient models e-NRTL [10] and Wilson [11] were applied for representing short-range interactions, Gex*SR. 3. 4. 1. The Pitzer–Debye–Hückel (PDH) equation The PDH equation for excess Gibbs energy, Gex*LR, can be written as [28]: 1/ 2

G ex*,PDH 1000   x j ( ) RT Ms j

4 A I x



(6)

ln(1  I x0.5 )

where MS is the molar mass of the solvent. The parameter ρ in Eq. (6) is related to the e closest approach parameter of ions in solution. The value of ρ = 14.9 has been commonly applied for aqueous electrolyte solutions [29]. Ix is the ionic strength on a mole fraction basis 7

Journal Pre-proof ( Ix 

1 xi Z i2 ), Z is the charge number of ions in the solution, x is the mole fraction of ions  2

and Aφ signifies the usual Debye-Huckel parameter for the osmotic coefficient, which is stated by:

1 2N A 1/ 2 e2 A  ( ) ( )3 / 2 3 VS 4DS kT

(7)

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VS is the molar volume, NA is Avogadro’s number, e is the charge of an electron, ε is the average

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dielectric constant of the solvent, k is the Boltzmann constant, and T is the temperature in Kelvin. 3. 4. 2. Electrolyte-NRTL model

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In thermodynamics, commonly considered models are based on activity coefficient for

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industrial systems such as electrolyte-NRTL model (e-NRTL) introduced by Chen (1982) [10]

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and Chen and Evans (1986) [30]. For each component, the activity coefficient is defined as the

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sum of the NRTL and the PDH contributions [10].

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3. 4. 3. Wilson model

(8)

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ln(  i* )  ln(  i*PDH )  ln(  i* NRTL )

A non-linear model, known as the Wilson model is used to represent the solubility values of drugs in the binary solvents at experimental temperatures. The equation for this model in a solution with n-component was shown in terms of the activity coefficient as [11]:

  n  n  x ln i  1  ln x j ij     nk ki   j 1  k 1   j 1x j  kj 

(9)

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Journal Pre-proof where  ij is the interaction parameters between two components, which is related to the molar volumes of the pure components,  , and to characteristic energy,  , differences by:  ij 

j  ij  ii   exp  i RT  

(10)

Interaction parameters were determined by minimized the value of the objective function as: n

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OF   (ln  iexp  ln  ical ) 2

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i 1

(11)

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where n is the experimental points, and ln  iexp and ln  ical are expressing the experimental and calculated activity coefficients.

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To evaluate the goodness of fit between the experimental and correlated solubility data,

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the average relative deviation percent (ARD%) is used. This parameter for comparison of the

xiexp  xical

i 1

xiexp

 % ARD  100 (

N

)

(12)

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N

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models can be calculated using the following equation:

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where xiexp , xical and N are experimental and calculated solubility mole fraction and the total number of experimental measurements, respectively. 4. Results and discussion 4.1. Solubility measurement results The mole fraction solubility of ACP (x1) in the two mixtures is obtained with Eq. (13):

w1 M1 x1  w w1 w  2  3 M1 M 2 M 3

(13)

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Journal Pre-proof where Mi and wi are the molar mass and weight fractions of i component in the saturated solution, respectively [31]. The experimental values of ACP solubility in the binary solvent mixtures with different concentration of co-solvent at various temperatures (298.15 to 313.15 K) are reported in Table 2. The ACP solubility in the presence of these ILs is 2 times more than its solubility in neat water at 313.15 K. On the other hand, there are some reports on solubility of ACP in co-solvent systems. In methanol + water co-solvent with methanol weight fraction of 0.1

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obtained at the same temperature and weight fraction for solubility of

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The value of 3.44 × 10

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and 298.15 K, the value of 2.65×10-3 (mole fraction) has been reported by Muñoza et al.[32].

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ACP in co-solvent system containing ChLa indicate that there is an improvement in the solubility

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of this drug using this IL. According to Jiménez et al. [33] solubility of ACP in propylene glycol + water co-solvent mixtures at 298.15 K and weight fraction of 0.1 for propylene glycol, is

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2.37×10-3, this value is lower than solubility we found in the presence of ChLa and ChBi. There

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are some co-solvent systems like ethanol + water, dioxin and deep eutectic solvent + water in which slightly higher solubility of ACP have been reported [34-36].

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The relationship between mole fraction solubility of ACP, x1, versus the weight fraction

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of IL (w3) in aqueous ILs solutions at 298.15 and 313.15 K is shown in Fig. 2. It can be understood from this figures that the solubility of ACP rises when temperature and weight fraction of ILs increases. Fig. 2 further illustrates that the efficiency order of studied ILs in the increasing of ACP solubility is: ChLa > ChBi. The levels of solubility observed for drugs in the presence of studied ILs could be due to solute−solvent interactions. Interactions such as Hbonds, van der Waals forces, ion-dipole and dipole-dipole between solute−solvent can be responsible for the solubilization of hydrophobic drugs in a solvent [37, 38]. At the atomic level, ACP molecules and ILs can interact with each other mainly via H-bonds interactions. ACP has

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Journal Pre-proof ability to act as HBDs or HBAs, forming H-bonds with ILs. The H-bond is formed between the NH and hydroxyl groups of the drug and the hydroxyl groups of the ILs. The solvating power of ILs is remarkable rather than water, because, there are H-bonds and dipole-dipole interactions in water + drug system. But in IL + drug systems, there are strong ion-dipole interactions in addition to H-bonds and dipole – dipole interactions. These interactions caused significant increase in the solubility of ACP in the presence of ILs. Some interactions in ILs + drug systems

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are shown in Fig. 3. On the other hand, it should also be noted that the ability of any IL as a

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powerful solubilizing agent for a drug is different. ChBi with stronger intermolecular interactions

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have much less interaction with the ACP. However, it seems that ChLa weak intermolecular

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interactions between the hydroxyl groups of the IL causing strong interactions of ChLa-ACP. 4. 2. Modeling results

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In the next step, all the solubility data were satisfactorily correlated to several

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thermodynamic equations. The modeling results are collected in Tables 2, 3 and 4. Also, the corresponding ARD% values for the used models are summarized in Table 5. Thus, ARD%

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values confirm that the used models performance were very good and can be ordered as e-NRTL

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(0.39%)  Wilson (1.40%)  Apelblat (1.86%)  λh (Buchowski) (2.34%)  Yalkowsky (4.39%) for the investigated systems. The models applied in this study are in two groups: semiempirical (Apelblat, λh (Buchowski) and Yalkowsky) and activity coefficient models (Wilson and NRTL). It can be noticed that the good fit between the activity coefficient models and the experimental data is probably due in part to the interactions parameters present in these models. But in semi-empirical models the interaction parameters aren’t considered. However, the empirical models are also suitable for correlating ACP solubility in selected co-solvents. 4.3. Volumetric properties

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Journal Pre-proof The measured densities, d, for ACP in the aqueous IL solutions (w3 = 0.05, 0.10 and 0.15 w/w) are reported in Table 6. The apparent molar volume, V , of drug can be stated as a function of the molality b of that solute and of the densities of the solution and solvent: V 

M  (d  d 0 )    d  mdd 0 

(14)

where m is the molality of the ACP in the solvents (water + IL), M is represented the molar mass

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of the drug and d0, d are the solvent and solutions densities, respectively. The values of V for

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the investigated systems are given in Table 6. The obtained values for V describe the interaction

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of solvent with molecules of ACP. It was clearly observed that the V values decreased as the

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drug concentration enhanced. The values of apparent molar volumes at infinite dilution (standard

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partial molar volume), V0 , can be calculated using next relation: (15)

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V  V  0  S v m

where S v (experimental slope) reflects the interactions between solute−solute and m is the

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molality of the ACP in binary solvent (water + IL) mixtures. In contrast, the values of V  0

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provide deep insight of solute-solvent interactions and also illustrates how different solvents interact differently with the same solute. Table 7 shows the values of V  0 and S v together and the observed trend indicates strong interactions between solute and solvent. Subsequently, these results were further strengthened with increasing the concentration of ILs in the solutions. The values of S v for ACP are currently being negative in the investigated solutions at experimental temperature. The negative values of S v represent weak interactions between drug molecules in the presence of ILs in the aqueous solutions. The values of S v are negative and less than V0 values indicate the weak solute-solute and stronger solute-solvent interactions. The comparison 12

Journal Pre-proof of V0 values for ACP in aqueous IL solutions are graphically shown in Fig. 4. It can be seen that the corresponding values for ACP in the ChLa solutions were higher than its values in ChBi solutions. 4.4. Compressibility properties The apparent molar isentropic compressibility,   , for ACP in IL aqueous solutions at

0 M s   s d   s d 0  )  d  mdd 0 

(16)

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  (

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various temperatures was obtained using next equation:

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where m shows the ACP molality in the aqueous IL solutions, M is the molar mass of the drug

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and d and d0 are the densities of the solutions containing (ACP + water + DES) and (water + IL)

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solutions, respectively. The  s 0 and  s are the isentropic compressibility of pure solvent and

1 u 2d

(17)

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s 

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solution, respectively, which calculated using:

  values for

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where u and d are speed of sound and the density of the solution. The obtained

ACP in aqueous IL solutions at the studied temperature are presented in Table 8. This parameter values increase by rising IL concentration. The positive values of   show that the co-solvent species around the drug molecules are significantly compressible [39] which revealing strong interaction between ACP and co-solvent. Eq. (18) shows the variation of   with molal concentration:

    0  S .m

(18)

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Journal Pre-proof where  0 is infinite dilution apparent molar isentropic compressibility, and S is an empirical slope revealing the interactions between solute and solute. The value of  0 and S together are collected in Table 9. The positive values of  0 for the drug reveal strong attractive interactions of ACP-ILs [40]. The values of  0 for the ILs employed in this study are plotted versus temperatures for aqueous IL solutions of ACP in Fig. 5. The maximum values are observed with

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IL ChLa.

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5. Conclusions

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This work involved two main steps. An important step in this process was the acetaminophen aqueous solubility measurements in the presence of two choline-based ionic

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liquids (ChLa and ChBi) in water under normal pressure and at temperatures 298.15 K, 303.15

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K, 308.15 K and 313.15 K. By increasing the co-solvent concentration and temperatures, the

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higher solubility of acetaminophen is obtained. Some semi-empirical and activity coefficient models were applied to fit the obtained solubility data and their performance was as e-NRTL

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(4.39%).

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(0.39%)  Wilson (1.40%)  Apelblat (1.86%)  λh (Buchowski) (2.34%)  Yalkowsky

In second step, using the density and speed of sound data it is possible to determine the standard partial molar volumes, V0 , and isentropic compressibility,  0 , of acetaminophen. The resulting behavior shows that their values have raised by increasing the concentration of ionic liquids. These prominent thermodynamic properties prove that strong solvent-solute (acetaminophen-ionic liquid) interactions make the process of solvation more favorable. Additionally, it is concluded that the interactions of the ionic liquids with drug become stronger

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Journal Pre-proof by raising the concentration of co-solvent in the aqueous solutions. The work also provided data clearly showing that ChLa has high efficiency for solubility enhancement of acetaminophen in this investigation and the thermodynamic studies containing compressibility and volumetric properties also confirm it. Acknowledgment

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The authors wish to thank University of Tabriz for the financial support.

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[4] A. Sindhu, N.K. Mogha, P. Venkatesu, Int. J. Biol. Macromol. 126 (2019) 1.

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[5] P.K. Kumar, M. Bisht, P. Venkatesu, I. Bahadur, E.E. Ebenso, J. Phys. Chem B. 122 (2018) 10435. [6] B.L. Gadilohar, G.S. Shankarling, J. Mol. Liq. 227 (2017) 234.

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[7] W. Zhang, A. Jones, M. Doherty, Ann. Rheum. Dis. 63 (2004) 901.

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[8] J.G. Hardman, L.E. Limbird, Chapter 27 (2001) 712.

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[9] S.H. Yalkowsky, R.M. Dannenfelser, College of Pharmacy, University of Arizona, Tucson, AZ (1992).

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[10] C.C. Chen, H.I. Britt, J. Boston, L. Evans, AIChE J. 28 (1982) 588. [11] G.M. Wilson, J. Am. Chem. Soc. 86 (1964) 127.

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[12] S.H. Yalkowsky, T.J. Roseman, (1981).

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[13] S.H. Yalkowsky, Solubility and solubilization in aqueous media. Am. Chem. Soc. 1999. [14] H. Buchowski, A. Ksiazczak, S. Pietrzyk, The J. Phys. Chem. 84 (1980) 975. [15] A. Apelblat, E. Manzurola, J. Chem. Thermodyn. 31 (1999) 85. [16] A. Apelblat, E. Manzurola, J. Chem. Thermodyn. 19 (1987) 317. [17] S. Montes, I. Azcune, G. Cabañero, H.-J. Grande, I. Odriozola, J. Labidi, Materials 9 (2016) 499. [18] A. Jouyban, M.A. Fakhree, Toxicity and drug testing, IntechOpen, 2012. [19] V. Jouyban, M. Khoubnasabjafari, F. Martinez, A. Peña, A. Jouyban, J. Drug. Deliv. Sci. Technol. 22 (2012) 545. [20] W.E. Acree Jr, Thermochim. Acta 198 (1992) 71.

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Journal Pre-proof [21] A. Jouyban-Gharamaleki, W. Acree Jr, Int. J. Pharm. 167 (1998) 177. [22] A. Jouyban-Gharamaleki, Chem. Pharm. Bull. 46 (1998) 1058. [23] A. Jouyban, A. Shayanfar, V. Panahi‐Azar, J. Soleymani, B.H. Yousefi, W.E. Acree, P. York, J. Pharm. Sci. 100 (2011) 4368. [24] M. Barzegar-Jalali, J. Hanaee, Int. J. Pharm. 109 (1994) 291. [25] J.T. Rubino, S.H. Yalkowsky, Pharm. Res. 4 (1987) 231.

of

[26] C.C. Chen, Y. Song, AIChE J. 50 (2004) 1928. [27] J.M. Prausnitz, R.N. Lichtenthaler, E.G. de Azevedo, Molecular thermodynamics of fluid-phase

ro

equilibria. Pearson Education, 1998.

-p

[28] K.S. Pitzer, J. Am. Chem. Soc. 102 (1980) 2902.

re

[29] J.M. Simonson, K.S. Pitzer, J. Am. Chem. Soc. 90 (1986) 3009. [30] C.C. Chen, L.B. Evans, AIChE J. 32 (1986) 444.

lP

[31] A. Forte, C.I. Melo, R. Bogel-Łukasik, E. Bogel-Łukasik, Fluid Phase Equilib. 318 (2012) 89.

na

[32] M.M. Muñoz, A. Jouyban, F. Martínez, Phys. Chem. Liq. 54 (2016) 515. [33] J.A. Jiménez, F. Martínez, ‎J. Braz. Chem. Soc. 17 (2006) 125.

Jo

(2013) 298.

ur

[34] D.R. Delgado, M.Á. Peña, F. Martínez, Revista Colombiana de Ciencias Químico-Farmacéuticas 42

[35] P. Bustamante, S. Romero, A. Peña, B. Escalera, A. Reillo, J. Pharm. Sci. 87 (1998) 1590. [36] H. Shekaari, M.T. Zafarani-Moattar, A. Shayanfar, M. Mokhtarpour, J. Mol. Liq. 249 (2018) 1222. [37] H. Wang, S. Liu, Y. Zhao, J. Wang, Z. Yu, ACS Sustain. Chem. Eng. 7 (2019) 7760. [38] D. Shah, U. Mansurov, F.S. Mjalli, Phys. Chem. Chem. Phys. 21 (2019) 17200. [39] R. Sadeghi, A. Gholamireza, J. Chem. Thermodyn. 43 (2011) 200. [40] M.T. Zafarani-Moattar, S. Sarmad, J. Chem. Thermodyn. 42 (2010) 1213.

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Table1 Description of the material used in this study. Provenance Zahravi (Tabriz, Iran) Merck Merck Merck Sigma-Aldrich

CAS No. 67-48-1 50-21-5 67-56-1 87-67-2

Mass fraction (purity) >0.98 >0.99 ≥ 0.95 >0.99 >0.98

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Chemical name Acetaminophen Choline Chloride Lactic acid Methanol Choline bitartrate

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Journal Pre-proof

Table 2 Experimental (xexp1 )a and calculated (xcal1 ) solubility of ACP in the aqueous IL solutions at different temperatures (T)b and weight fractions of IL (w3 )c-based Apelblat, λh and Yalkowsky models. 10 3 x1exp

λh equation

Apelblat equation

10 3 x1cal

100

x1exp  x1cal x1exp

10 3 x1cal

ro

ACP (1) + water (2) + ChLa (3) w3=0.0000 0.63 -1.81 1.83 -0.63

w3=0.0200 298.15 303.15 308.15 313.15

2.0681 2.6657 3.2737 3.8022

2.0674 2.6701 3.2685 3.8047

0.03 -0.16 0.15 -0.06

w3=0.0500 298.15 303.15 308.15 313.15

2.2342 3.1922 3.6624 4.3881

2.2620 3.0723 3.8073 4.3293

w3=0.0700 298.15 303.15 308.15 313.15

3.0586 3.3805 4.2911 5.0299

w3=0.1000 298.15 303.15 308.15 313.15

w3=0.1500 298.15 303.15 308.15 313.15

1.7579 2.1019 2.4986 2.9540

10 3 x1cal

100

x1exp  x1cal x1exp

1.89 -3.23 0.29 -0.03

1.8180 2.2228 2.7422 3.2438

-1.46 -9.16 -9.43 -9.86

2.1217 2.6074 3.1828 3.8606

-2.59 2.18 2.77 -1.53

2.0481 2.5134 3.0758 3.6546

0.96 5.71 6.04 3.90

-1.24 3.75 -3.95 1.34

2.4543 3.0035 3.6516 4.4119

-9.85 5.91 0.29 -0.54

2.4491 3.0223 3.6539 4.3702

-9.61 5.32 0.23 0.39

3.0261 3.4901 4.1531 5.0884

1.06 -3.24 3.21 -1.16

2.9452 3.5456 4.2428 5.0481

3.70 -4.88 1.12 -0.36

2.7590 3.4175 4.0985 4.9235

9.79 -1.09 4.48 2.15

3.4409 4.1883 5.0342 6.7550

3.4621 4.1125 5.1341 6.7143

-0.61 1.81 -1.98 0.60

3.3572 4.2318 5.2942 6.5762

2.43 -1.03 -5.16 2.64

3.2991 4.1093 4.8688 5.8876

4.12 1.88 3.28 12.88

4.2436 5.4040 6.1560 7.1220

4.2700 5.3059 6.2720 7.0746

-0.62 1.81 -1.88 0.66

4.4234 5.2184 6.1234 7.1488

-4.23 3.43 0.53 -0.37

4.4442 5.5874 6.4877 7.9320

-4.72 -3.39 -5.38 -11.37

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1.7804 2.0729 2.4600 2.9716

re

1.7918 2.0361 2.5059 2.9529

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298.15 303.15 308.15 313.15

Yalkowsky model x exp  x cal 100 1 exp 1 x1

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T/K

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ACP (1) + water (2) + ChBi(3)

1.7918 2.0361 2.5059 2.9529

1.7804 2.0729 2.4600 2.9716

0.63 -1.80 1.83 -0.63

1.7506 2.1023 2.5097 2.9792

2.29 -3.25 -0.15 -0.89

1.8035 2.1335 2.5288 2.9147

-0.65 -4.78 -0.91 1.29

w3=0.0200 298.15 303.15 308.15 313.15

1.8525 2.3217 2.8149 3.2466

1.8513 2.3288 2.8069 3.2500

0.06 -0.30 0.28 -0.10

1.9792 2.3315 2.7268 3.1665

-6.84 -0.42 3.131 2.466

1.9792 2.3327 2.8182 3.2520

-6.83 -0.47 -0.11 -0.16

w3=0.0500 298.15 303.15 308.15 313.15

2.2508 2.6405 3.3089 3.6024

2.2291 2.7236 3.2055 3.6423

0.96 -3.14 3.12 -1.10

2.2507 2.6768 3.1657 3.7239

0.004 -1.37 4.32 -3.37

2.2753 2.6669 3.3157 3.8325

-1.08 -1.00 -0.20 -6.38

w3=0.0700 298.15 303.15 308.15 313.15

2.7608 3.1587 3.6088 4.4789

2.7728 3.1180 3.6569 4.4610

-0.43 1.28 -1.33 0.40

2.7825 3.2326 3.7371 4.3005

-0.78 -2.34 -3.55 3.98

2.4969 2.9159 3.6951 4.2759

9.55 7.68 -2.39 4.53

w3=0.1000 298.15 303.15 308.15 313.15

3.0209 3.4721 4.6786 5.0972

2.9675 3.6694 4.4205 5.1966

1.76 -5.68 5.5 -1.95

3.0892 3.6631 4.3196 5.0670

-2.26 -5.50 7.67 0.59

2.8704 3.3336 4.3473 5.0392

4.98 3.98 6.63 1.14

w3=0.1500 298.15 303.15 308.15 313.15

3.3797 3.9190 5.4926 6.5642

3.3230 4.1268 5.2115 6.6844

1.67 -5.30 5.12 -1.83

3.3301 4.2047 5.2688 6.5549

1.46 -7.29 4.07 0.14

3.6212 4.1670 5.6999 6.6260

-7.14 -6.32 -3.77 -0.94

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w3=0.0000 298.15 303.15 308.15 313.15

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Journal Pre-proof

Table 3 Experimental (xexp1 )a and calculated (xcal1 ) solubility of ACP in the aqueous ChLa solutions at different temperatures (T)b and weight fractions of IL (w3 )c-based e-NRTL and Wilson models. 10 3 x1exp

NRTL model 3

Wilson model xexp  xcal 100 1 exp 1 x1

cal 1

10 x

w3=0.0000

2.0681 2.6657 3.2737 3.8022

2.0550 2.6351 3.2423 3.7649

w3=0.0500 298.15 303.15 308.15 313.15

2.2342 3.1922 3.6624 4.3881

w3=0.0700 298.15 303.15 308.15 313.15

3.0586 3.3805 4.2911 5.0299

w3=0.1500 298.15 303.15 308.15 313.15

x1exp  x1cal x1exp

0.06 -0.91 0.10 0.04

0.63 1.15 0.96 0.97

2.0566 2.6602 3.2381 3.7642

0.56 -0.31 1.09 1.00

2.2351 3.1730 3.6552 4.3709

-0.03 0.60 0.20 0.38

2.2257 3.1653 3.6126 4.3294

0.38 0.84 1.36 1.34

3.0421 3.3819 4.2872 5.0230

0.54 -0.04 0.09 0.13

3.0224 3.3463 4.2134 4.9444

1.18 1.01 1.81 1.70

3.4409 4.1883 5.0342 6.7550

3.4371 4.1990 5.0519 6.7659

0.11 -0.25 -0.35 -0.16

3.3897 4.1133 4.9207 6.5641

1.48 1.79 2.25 2.83

4.2436 5.4040 6.1560 7.1220

4.2471 5.4231 6.1879 7.1738

-0.08 -0.35 -0.51 -0.73

4.1226 5.2521 5.9879 6.9461

2.85 2.81 2.73 2.47

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w3=0.1000 298.15 303.15 308.15 313.15

100

1.7907 2.0546 2.5034 2.9516

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w3=0.0200 298.15 303.15 308.15 313.15

-0.12 -0.78 -0.84 -0.95

cal 1

10 x

-p

1.7941 2.0519 2.5269 2.9811

re

1.7918 2.0361 2.5059 2.9529

lP

298.15 303.15 308.15 313.15

3

of

T/K

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Journal Pre-proof

Table 4 Experimental (xexp1 )a and calculated (xcal1 ) solubility of ACP in the aqueous ChBi solutions at different temperatures (T)b and weight fractions of IL (w3 )c-based e-NRTL and Wilson models. 10 3 x1exp

NRTL model 3

Wilson model xexp  xcal 100 1 exp 1 x1

cal 1

10 x

w3=0.0000

1.8525 2.3217 2.8149 3.2466

1.8530 2.3112 2.8051 3.2423

w3=0.0500 298.15 303.15 308.15 313.15

2.2508 2.6405 3.3089 3.6024

w3=0.0700 298.15 303.15 308.15 313.15

2.7608 3.1587 3.6088 4.4789

w3=0.1500 298.15 303.15 308.15 313.15

x1exp  x1cal x1exp

0.18 0.17 0.05 -0.03

-0.02 0.46 0.35 0.14

1.8401 2.3023 2.791 3.2167

0.67 0.84 0.85 0.92

2.2370 2.6278 3.2991 3.6148

0.61 0.47 0.29 -0.35

2.2222 2.6071 3.2622 3.5551

1.27 1.27 1.41 1.31

2.7441 3.1389 3.6111 4.4531

0.60 0.62 -0.06 0.58

2.7096 3.1009 3.5516 4.3953

1.86 1.83 1.59 1.87

3.0209 3.4721 4.6786 5.0972

3.0160 3.4683 4.6579 5.0926

0.16 0.11 0.44 0.08

2.9577 3.3991 4.5730 4.9971

2.09 2.10 2.26 1.96

3.3797 3.919 5.4926 6.5642

3.3889 3.9391 5.5042 6.5860

-0.27 -0.51 -0.20 -0.33

3.3014 3.8248 5.3660 6.4059

2.32 2.40 2.30 2.41

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w3=0.1000 298.15 303.15 308.15 313.15

100

1.7886 2.0326 2.5047 2.9537

ro

w3=0.0200 298.15 303.15 308.15 313.15

0.04 -0.48 -0.16 -0.13

cal 1

10 x

-p

1.7911 2.0460 2.5101 2.9572

re

1.7918 2.0361 2.5059 2.9529

lP

298.15 303.15 308.15 313.15

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T/K

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Journal Pre-proof

Table 5 The calculated average relative deviation percent (ARD%) for the solubility of the ACP in the aqueous IL solutions at several temperatures from different models. λh equation ARD% ChLa ChBi

Apelblat equation ARD% ChLa ChBi

w

ACP (1) + water (2) + IL (3) 1.81 3.29 2.01 2.31 1.69 2.22

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0.18 2.11 0.85 3.70 3.49 2.07

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0.93 2.61 2.20 1.29 1.19 1.64

2.60 1.81 2.09 3.19 2.59 2.46

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0.02 0.05 0.07 0.10 0.15 Average

e-NRTL

ARD% Wilson

re

T/K

Yalkowsky model

na

0.26 0.53 0.50 0.56 0.46

ur

298.15 303.15 308.15 313.15 Average

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ACP (1) + water (2) + ChLa (3)

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298.15 303.15 308.15 313.15 Average

0.28 0.44 0.26 0.27 0.31

1.10 1.26 1.56 1.61 1.38

5.12 4.46 4.81 6.77 5.29

ACP (1) + water (2) + ChBi (3) 1.41 1.43 1.41 1.40 1.41

23

5.05 4.04 2.40 2.41 3.48

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Journal Pre-proof

24

Journal Pre-proof Table 6 The values of density, d, and apparent molar volume, Vφ , for ACP in the aqueous IL solutions at different temperatures. a b

m / mol∙kg-1 T/K

106 V / m3∙mol-1

10-3 d / kg∙m-3 298.15

303.15

308.15

313.15

298.15

303.15

308.15

313.15

ACP in aqueous solution of ChLa (0.05w/w) 1.004475

1.002954

1.001023

0.999347

125.707

126.345

127.029

127.691

0.0102

1.004610

1.003087

1.001153

0.999475

125.451

126.046

126.761

127.379

0.0201

1.004955

1.003422

1.001485

0.999800

124.888

125.638

126.208

126.869

0.0310

1.005340

1.003802

1.001859

1.000169

124.497

125.158

125.741

126.351

0.0400

1.005669

1.004127

1.002183

1.000488

124.736

125.248

125.853

0.0503

1.006073

1.004520

1.002573

1.000872

124.12

124.61

125.213

0.0600

1.006454

1.004900

1.002942

1.001228

122.951

123.562

124.141

124.839

0.0706

1.006877

1.005318

1.003366

1.001655

122.504

123.099

123.552

124.136

of

0.0062

124.115

-p

ro

123.433

ACP in aqueous solution of ChLa (0.10 w/w) 1.011776

1.010180

1.008306

1.006241

126.732

127.391

128.207

128.799

0.0102

1.011907

1.010308

1.008432

1.006365

126.571

127.244

127.949

128.533

0.0200

1.012219

1.010617

1.008734

1.006657

126.198

126.731

127.446

128.223

0.0314

1.012589

1.010984

1.009091

1.007004

125.808

126.278

127.041

127.853

0.0404

1.012894

1.011288

1.009390

1.007290

125.453

125.871

126.597

127.516

0.0500

1.013056

1.011438

1.009544

1.007442

125.190

125.781

126.386

127.265

0.0609

1.013627

1.012002

1.010090

1.007979

124.495

125.056

125.772

126.586

0.0705

1.013974

1.012350

1.010429

1.008307

124.118

124.614

125.354

126.204

ur

na

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re

0.0060

ACP in aqueous solution of ChLa (0.15 w/w)

1.019115

1.017350

1.015452

1.013296

127.937

128.367

129.058

130.027

0.0102

1.019237

1.017470

1.015570

1.013410

127.616

128.088

128.721

129.674

0.0204

1.019540

1.017765

1.015859

1.013696

127.112

127.727

128.359

129.058

0.0309

1.019872

1.018081

1.016169

1.014009

126.435

127.281

127.908

128.374

0.0407

1.020184

1.018388

1.016471

1.014305

126.066

126.842

127.455

127.971

0.0502

1.020496

1.018698

1.016789

1.014617

125.696

126.387

126.802

127.349

0.0606

1.020860

1.019053

1.017130

1.014946

125.125

125.837

126.383

127.02

0.0706

1.021214

1.019406

1.017479

1.015292

124.666

125.312

125.849

126.457

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0.0060

ACP in aqueous solution of ChBi (0.05 w/w) 0.0062

1.012258

1.010673

1.008891

1.006948

125.337

125.878

126.634

127.411

0.0105

1.012347

1.010761

1.008976

1.007032

125.151

125.648

126.507

127.161

0.0204

1.012556

1.010966

1.009180

1.007230

124.758

125.322

125.909

126.691

0.0303

1.012768

1.011176

1.009387

1.007429

124.490

124.999

125.569

126.475

25

Journal Pre-proof

0.0402

1.012990

1.011397

1.009599

1.007640

124.022

124.473

125.212

125.972

0.0501

1.013214

1.011608

1.009818

1.007854

123.715

124.415

124.852

125.618

0.0606

1.013452

1.011855

1.010057

1.008089

123.47

123.898

124.446

125.191

0.0701

1.013680

1.012076

1.010281

1.008313

123.091

123.599

124.044

124.713

ACP in aqueous solution of ChBi (0.1 w/w) 1.027624

1.025897

1.024008

1.021955

125.954

126.701

127.355

127.915

0.0104

1.027748

1.026018

1.024125

1.022071

125.745

126.473

127.223

127.716

0.0206

1.028064

1.026324

1.024422

1.022366

125.285

126.089

126.878

127.303

0.0302

1.028378

1.026631

1.024710

1.022647

124.720

125.489

126.543

127.068

0.0403

1.028710

1.026964

1.025033

1.022958

124.333

124.935

125.952

126.614

0.0502

1.029053

1.027302

1.025366

1.023278

123.884

124.471

125.396

126.156

0.0605

1.029397

1.027644

1.025696

1.023609

123.697

124.237

125.180

125.833

0.0702

1.029744

1.027986

1.026039

1.023938

123.325

123.864

124.692

125.427

127.337

127.872

128.666

129.475

ro

of

0.0063

1.043382

1.041557

1.039491

0.0102

1.043487

1.041661

1.039592

1.037426

127.223

127.689

128.457

129.310

0.0209

1.043780

1.041941

1.039869

1.037697

126.480

127.238

127.824

128.560

0.0301

1.044052

1.042212

1.040125

1.037943

125.781

126.386

127.207

128.020

0.0411

1.044397

1.042530

1.040440

1.038258

124.996

125.948

126.657

127.311

0.0508

1.044712

1.042839

lP

1.037329

1.040719

1.038544

124.431

125.318

126.346

126.820

0.0602

1.044971

1.043097

1.041002

1.038801

124.231

125.030

125.643

126.390

0.0773

1.045373

1.043505

1.041352

1.039162

123.547

124.184

125.310

125.860

na

re

0.0061

ur

Standard uncertainties u are, u (T) = ± 0.001 K and the estimated uncertainty uc (V ) = 0.05  10-6 m3.mol-1.

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ACP in aqueous solution of ChBi (0.15 w/w)

26

Journal Pre-proof Table 7 Standard partial molar volumes, V0 and experimental slopes,

S v for ACP in aqueous IL solutions at different

temperatures. T/K

106Sv(m3.Kg.mol-2)

10V0φ(m3.mol-1.pa-1)

ACP in aqueous solution of ChLa (0.05w/w) -42.002 -37.942 -40.390 -40.687

125.506 126.646 127.336 127.980

of

298.15 303.15 308.15 313.15

-30.804 -32.335 -32.947 -29.847

-p

298.15 303.15 308.15 313.15

ro

ACP in aqueous solution of ChLa (0.10 w/w)

127.018 127.640 128.392 129.024

-37.542 -34.935 -36.947 -41.088

na

lP

298.15 303.15 308.15 313.15

re

ACP in aqueous solution of ChLa (0.15 w/w) 128.129 128.652 129.335 130.208

ACP in aqueous solution of ChBi (0.05 w/w) 125.397 126.041 126.840 127.620

ur

-39.613 -42.343 -48.445 -49.199

Jo

298.15 303.15 308.15 313.15

ACP in aqueous solution of ChBi (0.10 w/w)

298.15 303.15 308.15 313.15

-31.417 -34.512 -32.235 -30.138

126.117 126.929 127.691 128.229

ACP in aqueous solution of ChBi (0.15 w/w) 298.15 303.15 308.15 313.15

-45.965 -43.018 -40.243 -43.440

127.699 128.263 128.936 129.794

27

Journal Pre-proof Table 8 The values of speed of sound, u, and apparent molar isentropic compressibility,

  , for ACP in the aqueous IL

solutions at different temperatures.

T/K

1014   (m3∙mol-1∙Pa-1)

u (m∙s-1)

m / mol∙kg-1 298.15

303.15

308.15

313.15

298.15

303.15

308.15

313.15

ACP in aqueous solution of ChLa (0.05w/w) 1529.64

1540.36

1549.23

1556.86

0.779

0.965

1.144

1.319

0.0102

1529.96

1540.67

1549.52

1557.14

0.815

0.985

1.195

1.354

0.0201

1530.72

1541.39

1550.22

1557.78

0.886

1.09

1.248

1.471

0.0310

1531.51

1542.11

1550.90

1558.43

0.954

1.192

1.359

1.553

0.0400

1531.10

1542.68

1551.40

1558.90

1.030

1.241

1.444

1.631

0.0503

1532.66

1543.16

1551.93

1559.38

1.146

1.392

1.514

1.709

0.0600

1533.15

1543.63

1552.30

1559.76

1.236

1.456

1.637

1.806

0.0706

1533.65

1544.08

1552.68

1560.11

1.323

1.542

1.73

1.886

0.0060 0.0102 0.0200 0.0314 0.0404 0.0500 0.0609 0.0705

1563.42 1563.73 1564.44 1565.16 1565.63 1565.80 1566.36 1566.67

1572.15 1572.45 1573.08 1573.69 1574.13 1574.31 1574.81 1575.01

ACP in aqueous solution of ChLa (0.10 w/w) 1579.80 1585.98 1.11 1580.07 1586.23 1.197 1580.66 1586.80 1.262 1581.22 1587.35 1.389 1581.59 1587.70 1.523 1581.80 1587.82 1.616 1582.17 1588.18 1.847 1582.39 1588.31 1.937

1.346 1.392 1.523 1.695 1.788 1.861 2.068 2.185

1.524 1.62 1.735 1.907 2.024 2.041 2.296 2.377

1.743 1.833 1.91 2.048 2.17 2.249 2.462 2.576

1.71 1.748 1.892 2.014 2.111 2.258 2.72 2.503

1.913 1.981 2.121 2.243 2.372 2.48 2.605 2.717

2.116 2.219 2.304 2.437 2.576 2.693 2.82 2.898

0.803 0.839 0.999 1.166 1.283 1.457 1.558

0.965 1.029 1.23 1.374 1.461 1.647 1.748

1.123 1.194 1.345 1.519 1.62 1.756 1.927

ur

na

lP

re

-p

ro

of

0.0062

ACP in aqueous solution of ChLa (0.15 w/w)

0.0060 0.0102 0.0204 0.0309 0.0407 0.0502 0.0606 0.0706

1597.72 1597.99 1598.61 1599.20 1599.65 1599.95 1600.16 1600.32

1605.02 1605.29 1605.87 1606.38 1606.79 1607.04 1607.24 1607.37

Jo

b

1610.93 1611.17 1611.69 1612.14 1612.46 1612.68 1612.85 1612.92

1615.63 1615.84 1616.33 1616.71 1616.97 1617.13 1617.25 1617.33

1.513 1.622 1.739 1.795 1.905 2.056 2.213 2.335

ACP in aqueous solution of ChBi (0.05 w/w) 0.0062 0.0105 0.0204 0.0303 0.0402 0.0501 0.0606

1523.81 1524.04 1524.52 1524.94 1525.34 1525.68 1525.98

1534.35 1534.57 1535.03 1535.43 1535.79 1536.09 1536.39

1543.49 1543.70 1544.12 1544.50 1544.86 1545.11 1545.39

1551.44 1551.64 1552.06 1552.42 1552.75 1553.02 1553.22

28

0.634 0.672 0.815 0.998 1.088 1.224 1.383

Journal Pre-proof 0.0701

1526.22

1536.60

1545.54

1553.36

1.496

1.684

1.897

2.059

1.001 1.061 1.144 1.325 1.475 1.579 1.682 1.869

1.282 1.363 1.433 1.644 1.727 1.883 1.999 2.118

1.489 1.531 1.703 1.779 1.927 2.049 2.196 2.324

1.241 1.327 1.459 1.617 1.778 1.918 2.073 2.215

1.515 1.575 1.77 1.892 2.083 2.256 2.333 2.503

1.786 1.859 2.039 2.175 2.364 2.522 2.624 2.752

ACP in aqueous solution of ChBi (0.10 w/w)

1580.28 1580.63 1581.46 1582.08 1582.61 1583.02 1583.39 1583.69

1588.55 1588.87 1589.65 1590.17 1590.72 1591.08 1591.28 1591.49

1595.49 1595.79 1596.46 1596.95 1597.38 1597.65 1597.86 1598.01

1601.02 1601.29 1601.89 1602.31 1602.65 1602.85 1602.99 1603.11

lP na ur Jo 29

1.037 1.095 1.229 1.340 1.560 1.703 1.789 1.939

of

0.0061 0.0102 0.0209 0.0301 0.0411 0.0508 0.0602 0.0773

1568.82 1575.30 0.825 1569.12 1575.59 0.899 1569.85 1576.22 0.976 1570.37 1576.79 1.109 1570.91 1577.24 1.259 1571.28 1577.62 1.371 1571.67 1577.91 1.477 1571.91 1578.10 1.567 ACP in aqueous solution of ChBi (0.15 w/w)

ro

1560.53 1560.86 1561.65 1562.24 1562.78 1563.28 1563.76 1563.96

-p

1551.13 1551.47 1552.29 1552.95 1553.55 1554.09 1554.62 1555.05

re

0.0063 0.0104 0.0206 0.0302 0.0403 0.0502 0.0605 0.0702

Journal Pre-proof Table 9 The values of S and

T/K

 0 for ACP in aqueous IL solutions at different temperatures. 1014  0 (m3.mol-1.pa-1)

1014Sk(Kg.m3.mol-2.pa-1)

ACP in aqueous solution of ChLa (0.05w/w) 6.419 6.967 6.810 6.630

298.15 303.15 308.15 313.15

9.817 9.943 9.973 9.702

0.715 0.901 1.084 1.275

of

298.15 303.15 308.15 313.15

-p

ro

ACP in aqueous solution of ChLa (0.10 w/w)

1.024 1.265 1.472 1.668

9.175 9.399 9.244 8.830

lP

298.15 303.15 308.15 313.15

re

ACP in aqueous solution of ChLa (0.15 w/w) 1.458 1.629 1.865 2.098

298.15 303.15 308.15 313.15

ur

16.367 17.080 17.334 17.511

Jo

298.15 303.15 308.15 313.15

na

ACP in aqueous solution of ChBi (0.05 w/w) 0.554 0.715 0.902 1.046

ACP in aqueous solution of ChBi (0.10 w/w)

8.935 10.098 9.918 9.759

0.759 0.910 1.208 1.412 ACP in aqueous solution of ChBi (0.15 w/w)

298.15 303.15 308.15 313.15

10.846 11.442 11.712 11.578

0.943 1.157 1.431 1.712

30

Journal Pre-proof

Figure captions Fig. 1. Chemical structure of acetaminophen Fig. 2. The relationship between solubility of ACP, mole fraction x1, versus weight fraction of IL, w3, in aqueous solutions at 29815 and 313.15 K, the solid lines obtained from e-NRTL model.

of

Fig. 3. Solvent-solute interactions between the ACP and ILs (H-bonding interactions).

ro

Fig. 4. The comparison of the standard apparent molar volume, V0 , of ACP in aqueous IL solutions at experimental temperatures.

-p

Fig. 5. The comparison of the standard apparent molar isentropic compressibility,  0 , of ACP in

Jo

ur

na

lP

re

aqueous IL solutions at experimental temperatures.

31

lP

re

-p

ro

of

Journal Pre-proof

Jo

ur

na

Fig. 1. Chemical structure of acetaminophen

32

lP

re

-p

ro

of

Journal Pre-proof

Jo

ur

na

Fig. 2. The relationship between solubility of ACP, mole fraction x1, versus weight fraction of IL, w3, in aqueous solutions at 29815 and 313.15 K, the solid lines obtained from e-NRTL model.

33

ur

na

lP

re

-p

ro

of

Journal Pre-proof

Jo

Fig. 3. Solvent-solute interactions between the ACP and ILs (H-bonding interactions).

34

-p

ro

of

Journal Pre-proof

Fig. 4. The comparison of the standard apparent molar volume, V0 , of ACP in aqueous IL solutions at experimental

Jo

ur

na

lP

re

temperatures.

35

re

-p

ro

of

Journal Pre-proof

Jo

ur

na

solutions at experimental temperatures.

lP

Fig. 5. The comparison of the standard apparent molar isentropic compressibility,   , of ACP in aqueous IL

36

0

Journal Pre-proof Highlights 

Solubility of acetaminophen in two aqueous choline-based ionic liquids solutions was measured.



Solubility data were correlated by using some empirical and activity coefficient models.



ChLa Ionic liquid was the most effective co-solvent.



Density and speed of sound behavior of acetaminophen in aqueous ILs solutions is

Jo

ur

na

lP

re

-p

ro

of

reported.

37