Skip to main content

Effect of 2-hydroxyethylammonium carboxylate protic ionic liquids on the solubility and cytotoxicity of indomethacin

Abstract

Recently, there is a particular interest to utilize protic ionic liquids (PILs) in drug solubility. This study is exploring the effect of three protic ionic liquids (PILs) based on 2-hydroxyethylammonium carboxylate [2-hydroxyethylammonium acetate (MEAA), 2-hydroxyethylammonium lactate (MEAL), and 2-hydroxyethylammonium propionate (MEAP)] on the solubility of the very poorly soluble drug in water, indomethacin (IMC). The shake flask method was used to measure the experimental solubility of IMC at the different temperatures range (298.15–313.15) K. The results demonstrate significantly enhancment the solubility of IMC in PILs compared to pure water, with an approximate increase of 200 times. The experimental solubility data have been correlated using the empirical models which showed the performance as the order: Modified Apelblat–Jouyban–Acree > Van’t Hoff–Jouyban–Acree > Modified Apelblat equations and also the performance for the Wilson model indicated as the order (absolute relative deviation): 2-hydroxyethylammonium acetate (3.030) > 2-hydroxyethylammonium propionate (3.239) > 2-hydroxyethylammonium lactate (7.665). Then the thermodynamic dissolution properties were obtained by usage of Gibbs and Van’t Hoff equations to investigate the thermodynamic behavior of the IMC in the aqueous solution PILs. Eventually, the cytotoxicity of the co-solvents (PILs) under study was evaluated using a standard MTT assay. The results showed that the cell viability percentage increased in the following order: MEAA < MEAP < MEAL. These findings indicated that these PILs had low to moderate toxicity. It is noteworthy that the functional groups of the anions were not the only determinant factor of the cytotoxicity. Other factors encompassing concentration, exposure time, and cell line characteristics also had significant effects.

Peer Review reports

Introduction

Ionic liquids (ILs) are used recently as class of neoteric green solvents with potential applications in various fields of chemical and pharmaceutical industries. The ILs can be divided into two major groups based on the nature of their cations which could be called as the aprotic ionic liquids (AILs), with neutral cations, and protic ionic liquids (PILs), with protonated cations. The PILs exhibit distinct characteristics from AILs due to the presence of the acidic proton in their cations [1]. The presence of the acidic proton in the cation of PILs confers them several advantages over ILs, encompassing the ability to modify their physicochemical properties by changing the acidity, the enhancement of their catalytic activity by acting as Bronsted acids, and the improvement of their stability under acidic environments. Furthermore, the PILs typically (carboxylic anions and ammonium-based cations—specifically, tris(2-hydroxyethyl)ammonium, bis(2-hydroxyethyl)ammonium, and 2-hydroxyethylammonium) show non-flammability, low toxicity, and lower vapor pressure than volatile organic compounds (VOCs), making them appealing substitutes for VOCs in various applications in the pharmaceutical and chemical industries [2]. These PILs are attractive in chromatography based on their ability to solubilize a wide range of compounds, including hydrophilic and hydrophobic molecules. In biotechnology, the PILs provide stability and biocompatibility, making them applicable for enzyme catalysis and drug delivery applications [3]. Moreover, they can enhance the solubility and extraction of various substances, including pharmaceuticals, pigments, and heavy metals. Additionally, their ability to buffer pH and mimic the properties of water makes them useful for thermodynamic studies [4]. Furthermore, the utilization of green solvents has become widespread in various industries, as the medical field, due to their advantages over traditional organic solvents [5]. Recently, there has been a growing interest in ionic liquids specially protic ionic liquids as sustainable solvents in the scientific community, particularly in the field of green chemistry. In this regard, they are gaining attention as environmentally friendly alternatives to hazardous solvents, and the pharmaceutical industry is increasingly considering their application.

Particularly during pharmaceutical development, selecting the appropriate dosage of a drug is crucial to achieving the desired pharmacological effects. Various methods have been employed to address the challenges associated with achieving adequate drug solubility including pH adjustment, complexation, cyclodextrins, solid dispersions, and co-solvency [6]. Co-solvency, due to its convenience and cost-effectiveness, is widely used. It entails incorporating a small amount of a secondary solvent to increase the solubilizing power of the primary solvent [7]. However, selecting solvents for various pharmaceutical processes, including purification, chemical reactions, and drug dissolution, is a critical consideration. In the last decade, investigations based on the protic ionic liquids (PILs) and low-melting mixtures (LMMs) as potential alternatives to conventional organic solvents to address this issue have been developed [8]. These PILs adaptability by combining various cations and anions is one of their key advantages, expanding their applications in the chemical and pharmaceutical industries [9, 10].

On the other hand, the nonsteroidal anti-inflammatory medicine (NSAID) indomethacin (IMC) has been recognized for its analgesic, anti-inflammatory, and antipyretic properties. IMC has a wide range of medicinal applications and is frequently employed in the pharmaceutical industry to treat pain associated with menstrual cramps, postoperative pain, and other types of pain. On the flip side, the IMC is classified as a class II medication in the biopharmaceutics classification system (BCS) due to its poor water solubility (2.5 mg/mL to 4.0 mg/mL), leading to the need for the creation of more effective pharmaceutical formulations [11,12,13,14].

This study extends the authors’ previous research on the utilization of environmentally friendly solvents, the protic ionic liquids (PILs) as co-solvents, to investigate the impact of PILs on the solubility of indomethacin (IMC) as a nonsteroidal anti-inflammatory drug (NSAID) with analgesic, anti-inflammatory, and antipyretic properties (Fig. 1) [15,16,17,18,19]. The study specifically concentrates on three newly developed PILs with 2-hydroxyethylammonium as the cation and various carboxylate as the anion, namely 2-hydroxyethylammonium propionate (MEAP), 2-hydroxyethylammonium lactate (MEAL), and 2-hydroxyethylammonium acetate (MEAA), to determinate their impact on the experimental solubility of the IMC at various concentrations of the PILs and different temperatures. Additionally, the experimental solubility data were correlated to several models, including empirical models (the Van’t Hoff–Jouyban–Acree model, Jouyban–Acree model, and the Jouyban–Acree model) and Wilson model as the local composition model [20, 21]. Furthermore, apparent thermodynamic properties of dissolution were calculated using the equations of Gibbs and Van’t Hoff to determine the thermodynamic behaviour of the IMC in aqueous systems containing PILs. This study contributes to the existing research on environmentally friendly solvents, offering valuable insights for the pharmaceutical industry to explore alternative solvents that are sustainable and environmentally benign.

Fig. 1
figure 1

Indomethacin (IMC) molecular structure

Materials and methods

Materials

In this research, the materials utilized were sourced from reputable suppliers to ensure their quality and purity. The  chemicals were purchased from Sigma-Aldrich Co. and Merck, supplied  monoethanolamine (2-hydroxyethylammine), lactic acid, propionic acid, indomethacin and acetic acid, all of which had a mass fraction purity of more than 0.99. The doubly distilled deionized water was used to preparation of the solutions. The relevant information about the components used in the study, including their sources, CAS numbers, molar masses, purities, compounds structure were provided in Table 1.

Table 1 Information about the chemicals employed, CAS number, purity, and chemical structure

Protic ionic liquid synthesis and characterization

The present study involved the synthesizing and pacificating of protic ionic liquids (PILs) using a neutralization method. The monoethanolamine (2-hydroxyethylamine) and carboxylic acids (lactic acid, acetic acid and propionic acid) were employed as starting materials to synthesize PILs, including 2-hydroxyethylammonium lactate, 2-hydroxyethylammonium acetate and 2-hydroxyethylammonium propionate. The synthesis process involved stirring the 2-hydroxyethylamine in a three-neck glass flask, then gradually adding carboxylic acids using a dropping funnel while stirring at room temperature. The resulting viscous liquid was purified using vacuum evaporation for 12 h at 343 K to eliminate any volatile impurities [22]. The purity of the PILs was analyzed using 1H NMR spectra and was found to be more than 97%. To determine the water contents of the synthesized ionic liquids, the Karl–Fisher titration technique (method TitroLine KF) was used (Table 2).

Table 2 Common properties of ionic liquids used in this work at 298.15 K and 866 hPa

Solubility measurement

Before obtaining dissolution data, a calibration curve for Indomethacin (IMC) was established (Fig. 2). A double-beam T80 UV–vis spectrometer (Japan) and a mixture of ethanol and distilled deionized water were employed to dissolve a specific amount of IMC to generate the calibration curve [23]. Numerous methods were utilized to determine the experimental solubility data, encompassing the shake-flask method [24]. Aqueous binary mixtures containing different weight fractions of protic ionic liquids (PILs) were prepared using an analytical balance with a precision of 10–4 g (AW 220, GR220, Shimadzu, Japan) in order to determine the experimental solubility. Then, the excess amounts of IMC were added to glass vials holding a particular quantity of water and PILs, which were stirred and kept for 3 days in a water bath thermostat until equilibrium was reached. The temperature was adjusted with a precision of 0.01 K using an ED water bath thermostat (Julabo Co., Germany). After 3 days, the liquid and solid phases were separated employing a Hettich D-7200 centrifuge. At the next step, the liquid phase was appropriately diluted with an ethanol + water solution after filtering the saturated solutions through a 0.22 µm PTFE filter. The concentration of IMC in the solutions was measured by utilizing the calibration curve and a T80 UV–vis spectrometer (Japan) [24].

Fig. 2
figure 2

Calibration curve of indomethacin (IMC)

The mole fraction of IMC (x1) in the aqueous solutions containing PILs was determined, for the IMC + water, IMC + water combination, and IMC + PILs systems using the Eq. 1 [25, 26]:

$$x_{1} = \frac{{\frac{{w_{1} }}{{M_{1} }}}}{{\frac{{w_{1} }}{{M_{1} }} + \frac{{w_{2} }}{{M_{2} }} + \frac{{w_{3} }}{{M_{3} }}}},$$
(1)

where Wi and Mi, respectively, indicate the weight fractions and molar mass weight fractions of each system component (i).

Cell culture

Pastor Institute of Iran generously provided the human colon adenocarcinoma cell line HT29. The cell lines were cultured in RPMI’s medium supplemented with 10% fetal bovine serum (FBS) and Culture medium containing FBS. The cell cultures were incubated at 37 °C in a humidified environment of 5% carbon dioxide—CO2. A Nikon Eclipse 80i inverted microscope was employed to investigate cell morphology (Nikon, Tokyo, Japan).

MTT assay

The colorimetric MTT assay was used to assess the cytotoxic activity of PILs (Twentyman and Luscombe 1987). HT29 cells were seeded in 96-well plates and allowed to conform for the first step. The cells were then incubated for 24 h at 37 °C in 5% CO2 in a total of six concentrations (3–150 µg mL−1) of the studied compounds diluted in RPMI medium (previously sterilized with a 0.22 m syringe filter). After 24 h of exposure, each well was filled with 50 µL of MTT solution (3 (4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) from Sigma-Aldrich) (2 mg. mL in PBS, pH 7.2). To dissolve the formazan crystals, the medium was substituted with 150 µL of dimethyl sulfoxide (DMSO) after 4 h of incubation.

The plate was shaking for around 1 h while being held out of direct sunlight. Cell viability was measured through the optical density of reduced MTT at 570–630 nm using a microplate reader (Synergy HT from BioTeK Instruments Inc., Winooski, VT, USA). The percentage of viable cells was calculated as the ratio between the absorbance of treated and control cells. Similarly, IC50 was estimated using a non-linear regression, logistic equation to determine the chemical concentration that causes a 50% reduction in cell viability [27].

Solubility data correlation procedure

A crucial factor in the pharmaceutical industry could be experimental solubility measurement and the significance of thermodynamic models in correlating the solubility of pharmaceuticals in various solvents. In modeling, the clarity of the model parameters, which is obtained with the minimum number of experiments, gives the researcher the power to predict and correlate the solubility in other concentrations and conditions which is possible to calculate the most suitable concentration of the solvent for the formulation of the drug. By considering of the thermodynamic models application, they containing some wonderful advantages encompassing saving the time, decreasing the experimental costs, correlating and predicting the experimental data in the unusual experimental conditions (including higher temperatures and pressure). Contemporary theoretical equations use short-range order and nonrandom molecule orientations resulting from variances in molecular size into account utilizing the excess molar Gibbs energy (\(G^{ex}\)) and local composition theory. The activity of a solute, for instance IMC in a saturated solution is required to be equivalent to the activity of the solute in its pure solid-state form which perform the ability of the solute solubility determination in a solution at a particular temperature. This can be done by employing a solid–liquid equilibrium (SLE) framework to apply the solute’s activity in the saturated solution, as stated in Eq. 2 [28, 29]:

$$\ln x_{1} = - \ln \gamma_{1} + \frac{{\Delta_{fus} H}}{R}\left( {\frac{1}{{T_{{m_{1} }} }} - \frac{1}{T}} \right) - \frac{1}{RT}\int_{{T_{{m_{1} }} }}^{T} {\Delta C_{P1} dT} + \frac{1}{R}\int_{{T_{{m_{1} }} }}^{T} {\frac{{\Delta C_{P1} }}{T}dT}$$
(2)

where Tm1 and T are the melting and experimental temperatures, respectively and R stands for the gas constant, difference in molar heat capacity between the melting and solid states of IMC, the enthalpy of fusion and activity coefficient are denoted by \(\Delta C_{P1}\), \(\Delta_{fus} H\), and \(\gamma_{1}\) respectively. Eventually, using appropriate simplifying [30], the simplified equation obtained as:

$$\ln x_{1} = \frac{{\Delta_{fus} H}}{R}\left( {\frac{1}{T}_{m} - \frac{1}{T}} \right) - \ln \gamma_{1} .$$
(3)

The activity coefficient, enthalpy of fusion, and melting temperature information are required.

The experimental solubility data of IMC were correlated as a result of this project.

To generalize the e-NRTL and Wilson models for multicomponent systems including electrolytes in the aqueous solution, the molar excess Gibbs energy (\(G^{ex}\)) is demonstrated as the total of two contributions [31, 32]:

$$\frac{{G^{ex*} }}{RT} = \frac{{G^{ex*,LR} }}{RT} + \frac{{G^{ex*,SR} }}{RT},$$
(4)

where the superscripts LR, SR, and ex* denote the asymmetric convention, long-range interaction, and short-range interaction, respectively. The expanded Pitzer–Debye Hückel, Gex*, PDH model, which Pitzer [33] presents, could be utilized for interactions encompassing long-range terms. For short-range interactions, the Wilson and e-NRTL models were additionally applied.

Wilson activity coefficient model

The following definitions refer to the Wilson model’s activity coefficient based on composition and temperature [17]:

$$\ln \gamma_{i} = 1 - \ln \left( {\sum\limits_{j = 1}^{n} {(\Lambda_{ij} x_{j} )} - \sum\limits_{k = 1}^{n} {\left( {\frac{{\Lambda_{ki} x_{k} }}{{\sum\limits_{j = 1}^{n} {(\Lambda_{kj} x_{j} )} }}} \right)} } \right),$$
(5)

where molar volumes of solute and solvents (\(\upsilon\)), the binary interaction parameter (\(\Lambda_{ij}\)) is based on characteristic energy (\(\lambda\)) and can be generated by Eq. 6 [34].

$$\Lambda_{ij} = \frac{{\upsilon_{j} }}{{\upsilon_{i} }}\exp \left( { - \frac{{\lambda_{ij} - \lambda_{ii} }}{RT}} \right).$$
(6)

Modified Apelblat equation

The modified Apelblat equation has been utilized as the appropriate mathematical model for illustrating the substance’s polar and nonpolar behaviour. As a consequence, the calculated values were fitted with the experimental solubility [35]. Equation (7) also illustrates the solubility of IMC temperature dependence [18, 36].

$$\ln x_{1} = A + \frac{B}{T}C\ln T,$$
(7)

where empirical constants A, B, and C were indicated. The values of A and B reveal how the solution activity coefficient varies, while the value of C illustrates how temperature affects fusion enthalpy.

Jouyban–Acree–Van’t Hoff model

The equation of Van’t Hoff is another model which illustrates how the natural logarithm of solubility mole fraction depends on absolute temperature [37]:

$$\ln x_{T} = A + \frac{B}{T}.$$
(8)

The Jouyban–Acree–Van’t Hoff model could be derived and expressed as Eq. (9) [38].

$$\log X_{1,T} = w_{2} \left( {A_{2} + \frac{{B_{2} }}{T}} \right) + w_{3} \left( {A_{3} + \frac{{B_{3} }}{T}} \right) + \frac{{w_{2} w_{3} }}{T}\sum\limits_{i = 0}^{2} {J_{i} (w_{2} - w_{3} )^{i} } ,$$
(9)

A2, B2, A3, B3 and Ji demonstrate the parameters of the model.

Modified Jouyban–Acree–Apelblat model

Semi-empirical modelling is employed in the Modified Apelblat model. Utilizing this model, it is ideal to investigate the relationship between solubility and temperature [39, 40]:

$$\ln x_{T} = A + \frac{B}{T} + C\ln T,$$
(10)

where xT is the IMC solubility mole fraction in selected mixed solvents at temperature T (K), and A, B, and C are parameters of the equation. The Modified Jouyban–Acree–Apelblat model can be generated by substituting Eq. (10) into Eq. (9) [41].

$$\log X_{1,T} = w_{2} \left( {A_{2} + \frac{{B_{2} }}{T} + C_{2} \ln T} \right) + w_{3} \left( {A_{3} + \frac{{B_{3} }}{T} + C_{3} \ln T} \right) + \frac{{w_{2} w_{3} }}{T}\sum\limits_{i = 0}^{2} {J_{i} (w_{2} - w_{3} )^{i} } ,$$
(11)

where N is the experimental points, \(\ln \gamma_{i}^{\exp }\) and \(\ln \gamma_{i}^{cal}\) are the experimental and calculated activity coefficients values, respectively. Furthermore, relative deviation percent (ARD%), which is represented by Eq. 17 for the models stated, can be applied to figure out the variance in solubility data between calculated and experimental data:

$$ARD = 100\left( {\frac{{\sum\limits_{i = 1}^{N} {\frac{{\left| {x_{i}^{\exp } - x_{i}^{cal} } \right|}}{{\left| {x_{i}^{\exp } } \right|}}} }}{N}} \right).$$
(12)

Thermodynamic properties of dissolution

The van’t Hoff and Gibbs equations were employed for calculating the Thm = 305.55 K (the mean harmonic temperature), which was derived by considering into calculate temperatures (298.15 to 313.15 K). The thermodynamic parameters of dissolution have been evaluated by employing the apparent thermodynamic functions [42]. The IMC dissolution standard molar enthalpy, \(\Delta H_{so\ln }^{^\circ }\) was obtained by Eq. 13 [43,44,45]:

$$\Delta H_{so\ln }^{^\circ } = - R\left( {\frac{{\partial \ln x_{1} }}{{\partial \left( {{\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 T}}\right.\kern-0pt} \!\lower0.7ex\hbox{$T$}}} \right)}}} \right)_{P} ,$$
(13)

where the universal gas constant is R (8.314 J K−1 mol−1) [46] and the absolute temperature is T, the IMC mole fraction was demonstrated by x1 in this equation. On the other hand, the van’t Hoff plot, which is a plot of lnx1 versus \({\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 T}}\right.\kern-0pt} \!\lower0.7ex\hbox{$T$}} - {\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 {T_{hm} }}}\right.\kern-0pt} \!\lower0.7ex\hbox{${T_{hm} }$}}\), can be utilized to figure out:

$$\Delta H_{so\ln }^{^\circ } = - R\left( {\frac{{\partial \ln x_{1} }}{{\partial \left( {{\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 T}}\right.\kern-0pt} \!\lower0.7ex\hbox{$T$}} - {\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 {T_{hm} }}}\right.\kern-0pt} \!\lower0.7ex\hbox{${T_{hm} }$}}} \right)}}} \right)_{P} ,$$
(14)
$$\Delta G_{so\ln }^{^\circ } = - RT_{hm} \times {\text{ intercept}}{.}$$
(15)

In this manner, the values of \(\Delta H_{{{\text{soln}}}}^{^\circ }\) and \(\Delta G_{{{\text{soln}}}}^{^\circ }\) have been evaluated utilizing the slope and intercept of Eqs. 14 and 15. Furthermore, the following equation [47, 48] was applied to evaluate the standard molar entropy of dissolution, \(\Delta S_{{{\text{soln}}}}^{^\circ }\) [49]:

$$\Delta S_{so\ln }^{^\circ } = \frac{{\Delta H_{so\ln }^{^\circ } - \Delta G_{so\ln }^{^\circ } }}{{T_{hm} }}.$$
(16)

Finally, in the IMC dissolution process, Eqs. 17 and 18 were utilized to compare the relative contributions of enthalpy and entropy to the standard molar Gibbs free energy, which is demonstrated by the \(\xi_{H}\) and \(\xi_{TS}\), respectively [50]:

$$\% \xi_{H} = \frac{{\left| {\Delta H_{so\ln }^{^\circ } } \right|}}{{\left| {\Delta H_{so\ln }^{^\circ } } \right| + \left| {T\Delta S_{so\ln }^{^\circ } } \right|}} \times 100,$$
(17)
$$\% \xi_{TS} = \frac{{\left| {T\Delta S_{so\ln }^{^\circ } } \right|}}{{\left| {\Delta H_{so\ln }^{^\circ } } \right| + \left| {T\Delta S_{so\ln }^{^\circ } } \right|}} \times 100.$$
(18)

Results and discussions

Solubility results

The indomethacin (IMC) solubility was investigated in binary solutions containing three ionic liquids: MEAP, MEAL, and MEAA. The experiments were done at various temperatures (298.15 K to 313.15 K), as considered in Table 3 and as demonstrated by Figs. 3, 4, and 5. According to the results, IMC dissolution based on experimental solubility data has enhanced as the temperature and weight fraction of systems containing protic ionic liquids have increased. Specifically, the solubility of IMC in the MEAL PIL was raised more than 200 times higher than the water at each temperature based on the evaluated experimental data from our previous investigations [26, 29].

Table 3 The experimental and calculated mole fraction IMC, respectively \(\left( {x_{1}^{\exp } ,x_{1}^{cal} } \right)\) in different weight fractions of aqueous solution containing PILs (w3) calculated  from Apelblat equation and Wilson model, within the temperature range T/K = (298.15 to 313.15)
Fig. 3
figure 3

The relationship between the solubility of IMC, temperature (T) and weight fraction of PILs (wPILs) in aqueous MEAP solutions

Fig. 4
figure 4

The relationship between the solubility of IMC, temperature (T) and weight fraction of PILs (wPILs) in aqueous MEAA solutions

Fig. 5
figure 5

The relationship between the solubility of IMC, temperature (T) and weight fraction of PILs (wPILs) in aqueous MEAL solutions

The XRD diffractograms of raw IMC crystals together with residuals crystals sampled from solubility measurement are depicted in Figure S4. (supporting information). It should be noted that quantitative analysis of phases in samples with preferential orientation or texture is not possible using traditional methods such as direct comparison. Then the XRD patterns of the excess solid in saturated solution were compared with the IMC pattern in water which is apparent that the characteristic peaks of residual solids are identical with those of raw IMC, indicating no phase transformation occurred in solubility measurements [51]. First, the stability of IMC in the presence of PILs was investigated. The analysis of the bottom phase(s) after the solubility experiments have been presented. There are different type of factors affecting the peak intensity of XRD. These type of factors are listed as:

  1. 1.

    The nature of the sample under test (single-phase or multiphase of the sample).

  2. 2.

    Powder samples have less peak intensity than bulk samples. (Due to the effect of absorption factor).

  3. 3.

    Grain size: the larger the grain size, the higher the peak intensity. For example, considering samples with the same chemical composition, which have been annealed at different times of heat treatment, a sample will have a higher peak intensity with a longer heat treatment time (longer annealing time = larger grain size). It should be noted that the smaller the grain size, the higher the grain size, which is the amorphous part of the material, and as a result the background scatter in the diffraction pattern will increase and the peak intensity would decrease.

On the flip side, Limited research has been conducted on systems involving co-solvents. In a study by Peña et al. the dissolution of indomethacin in ethanol/water (wETOH = 0.2) at 298.15 K was measured to be 1.13 × 10−5 (mole fraction). In our investigated system, which consisted of MEA/carboxylate, the solubility of IMC was found to be 20.71 × 10−5 at the same weight fraction and temperature. This indicates an improvement in the solubility of IMC when using these ionic liquids. Another study by Holguín et al. [52] reported the IMC solubility mole fraction in mixtures of propylene glycol/water, with the 0.4 weight fraction for propylene glycol, as 7.61 × 10–6 at 303.15 K. This value is less soluble than that found in our system with MEA/carboxylate. Furthermore, the order of experimental solubility enhancement is MEAL > MEAP > MEAA. The increase in solubility can be attributed to various factors, encompassing the melting point, enthalpy of fusion, hydrogen bonding interactions, polarity, and solute–solvent interactions [53, 54]. The presence of interactions of hydrogen bonding between indomethacin, acting as the acceptor of hydrogen bond, and the MEA/carboxylic acid-based protic ionic liquids (PILs) could be the explanation for enhanced solubility of IMC in PILs-containing aqueous systems. In simpler terms, the experimental dissolution data reveal that strong hydrogen bonding interaction directly affects IMC dissolving, with propionic acid, acetic acid, and lactic acid’s acidity properties contributing to stronger hydrogen bonding interactions [54, 55]. The significant increase in IMC solubility in PIL systems indicates the presence of multiple interactions, encompasses hydrogen bonding and strong ion–dipole interactions as compared to dipole–dipole interactions [56].

Correlation results

Subsequently, the experimental solubility data were investigated using different thermodynamic models, including the Modified Jouyban–Acree–Apelblat, Jouyban–Acree–Van’t Hoff, Modified Apelblat equation, and Wilson model as the local composition model. Tables 4, 5, 6 and 7 present the collected obtained outcomes along with their corresponding parameters. It is noteworthy that Shekaari et al. conducted DSC experiments to determine the melting point (Tm = 432.6 K) and enthalpy of fusion of the IMC at the previous investigations. Furthermore, Table 8 summarizes the percentages of average relative deviation (ARD%) for the correlation performance of these models. The results indicate the models performance as the ordered: Modified Apelblat–Jouyban–Acree > Van’t Hoff–Jouyban–Acree > Modified Apelblat equation > Wilson models for the aqueous solutions containing PILs. Table 7 presents the calculated activity coefficients (\(\gamma_{1}^{{}}\)) for IMC in these systems. It could be observed that the (\(\gamma_{1}^{{}}\)) values decrease with an enhancement in the weight fraction of the protic ionic liquids (PILs) present in these systems. This observation confirms that the activity coefficient decreases as a result of increased interactions [30].

Table 4 The modified Apelblat–Jouyban–Acree mode’s parameters for the IMC in the systems that are investigated
Table 5 The Jouyban–Acree–Van’t Hoff mode’s parameters for the IMC in the aqueous solutions containing PILs
Table 6 The Wilson model’s parameters for the IMC in aqueous solutions containing PILs
Table 7 The calculated activity coefficients of IMC, ln \(\gamma_{1}^{{}}\) as a function of PILs mole fraction (first column) in aqueous solutions based on Wilson model at differet tempeartures
Table 8 The ARD% (average relative deviation percent) values for the IMC solubility in the aqueous solutions containing PILs for T/K = 298.15 to 313.15 from the a) Jouyban–Acree–Modified Apelblat, Jouyban–Acree–Van’t Hoff Modified and Wilson model and b) Apelblat equation

Thermodynamic properties of dissolution results

In the system based on the MEAL, Fig. 6. depicts the IMC solubility data (\(\ln x_{1}\)), versus \(\left( {{\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 T}}\right.\kern-0pt} \!\lower0.7ex\hbox{$T$}} - {\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 {T_{hm} }}}\right.\kern-0pt} \!\lower0.7ex\hbox{${T_{hm} }$}}} \right)\), and Table 9 provides the amounts for the dissolution thermodynamic properties (\(\Delta H_{so\ln }^{^\circ }\), \(T_{m} \Delta S_{so\ln }^{^\circ }\) and \(\Delta G_{so\ln }^{^\circ }\)). The dissolution of the IMC in these systems is an endothermic process based on the positive values of (\(\Delta H_{so\ln }^{^\circ }\)) and (\(\Delta H_{so\ln }^{^\circ }\)). As can be seen in Fig. 7, the values of the standard molar Gibbs free energy (\(\Delta G_{so\ln }^{^\circ }\)) decreased as the weight fraction of PILs increased. Additionally, during the dissolution process, the (\(T_{hm} \Delta S_{so\ln }^{^\circ }\)) values have positive values.

Fig. 6
figure 6

Plot of lnx1 vs (1/T–1/Thm); in aqueous solutions containing MEAL at various mass fraction of protic ionic liquids (wPILs): 0.0000 (black diamond suit), 0.0200 (black square), 0.0500 (black up-pointing triangle), 0.0700 (black circle), 0.1000 (white square), 0.1500 (white circle), 0.2000 (white up-pointing triangle)

Table 9 The apparent thermodynamic functions for the dissolution process at mean temperature for the IMC in aqueous PILs as a function of the PILs weight fractions (w3)
Fig. 7
figure 7

The \(\Delta G_{so\ln }^{^\circ }\) values related to the process of the IMC dissolution in aqueous solutions containing PILs (MEAP (black square), MEAA (black diamond suit), MEAL (black up-pointing triangle) at 305.5 K

According to the data, (\(\Delta H_{so\ln }^{^\circ }\)) has a greater impact on the dissolution of the IMC in these systems due to lower entropy values compared to enthalpy values. Based upon the Table 9, the (\(\xi_{H}\)) and (\(\xi_{TS}\)) values for the IMC's dissolving process, the \(\Delta G_{so\ln }^{^\circ }\) main contribution is connected to the dissolution’s enthalpy [28].

Cytotoxicity of PILs results

The MTT assay was used to investigate the effect of synthesized PILs on cell proliferation. The IC50 (half total inhibitory concentration) values were calculated using the MTT assay data. This is the compound concentration at which 50% of the cells remain viable. Table 10 and Fig. 8 demonstrate the IC50 findings, with the cytotoxicity order being 2-hydroxyethylammonium acetate (MEAA) > 2-hydroxyethylammonium propionate (MEAP) > 2-hydroxyethylammonium lactate (MEAL). Major differences of cytotoxicity potential exist between the contaminants. In these experimental conditions, the four categories of extracts which are; very active (IC50 ≤ 20 μg/mL), moderately active (IC50 > 20–100 μg/mL), weakly active (IC50 > 100–1000 μg/mL) and inactive (IC50 > 1000 μg/mL) [57, 58]. The cytotoxic analysis revealed that, 2-hydroxyethylammonium acetate (MEAA), 2-hydroxyethylammonium lactate (MEAL), and 2-hydroxyethylammonium propionate (MEAP) possessed moderate cytotoxic effect against the HT29 cell line with IC50 26.40 ± 0.006, 79.23 ± 0.001 and 67.19 ± 0.049 μg/mL, respectively.

Table 10 IC50 values for the PILs which were investigated in the HT29 cell line
Fig. 8
figure 8

Cell viability of the human colon adenocarcinoma cell line (HT29) dose–response curves of the mentioned PILs

The different functional groups of MEAA, MEAL, and MEAP could influence their cytotoxicity on HT29 cells through various mechanisms. All three compounds are ionic, but the acetate, lactate, and propionate groups have different charges and polarities. These differences can affect their interactions with proteins and other biomolecules inside the cell, influencing cytotoxicity.

On the other hand, the acetate, lactate, and propionate anions can be metabolized by the cells through different pathways. These metabolic processes can affect cellular energy production, redox balance, and other vital functions, potentially leading to cytotoxicity. Additionally the specific toxicities of the functional groups could reveal the toxic effect of these compounds. Acetate, lactate, and propionate base PILs have been shown to have some intrinsic toxicity, although the mechanisms are not fully understood.

It’s noteworthy that cytotoxicity is a complex phenomenon influenced by multiple factors, and the functional groups are just one aspect. Other factors encompassing concentration, exposure time, and cell line characteristics can also play significant roles. Overall, the different functional groups of MEAA, MEAL, and MEAP likely influence their cytotoxicity on HT29 cells through a combination of mechanisms involving ionic interactions, metabolic effects, and specific toxicities of the functional groups which is demonstrating the moderately activity in this systems.

Conclusions

In the present investigation, three protic ionic liquids 2-hydroxyethylammonium acetate (MEAA), 2-hydroxyethylammonium lactate (MEAL), and 2-hydroxyethylammonium propionate (MEAP) have been synthesized for evaluating the experimental solubility of very poorly soluble drug indomethacin (IMC). The various weight fractions of the protic ionic liquids utilized in the solubility experiments at different temperatures. The results demonstrated that increasing the temperature and weight fraction of the protic ionic liquids enhanced IMC’s solubility. Among the studied PIL, MEAL exhibited the highest solubility enhancement due to the strong hydrogen bonding interactions by the carboxylic acid and strongly hydrogenic interactions encompassing the number of hydrogen bond acceptor and donor states in acid carboxylic acid structures. Moreover, the other strong ion–dipole interactions as compared to dipole–dipole interactions has the significant role in the raising of drug solubility at the present investigation. In addition, different thermodynamic models Van’t Hoff–Jouyban–Acree, Modified Apelblat equation, and Wilson models, were applied to correlate the experimental solubility data of IMC. The performance order of these models, in terms of their correlation precision were as follows: Modified Apelblat–Jouyban–Acree > Van’t Hoff–Jouyban–Acree > Modified Apelblat equation > Wilson model. Finally, the thermodynamic dissolution process in the investigated systems was determined. The results illustrated that the enthalpy in each of the utilized PIls drives the endothermic dissolution process. On the other hand, the cytotoxicity of the PILs under study showed the order: 2-hydroxyethylammonium acetate (MEAA) > 2-hydroxyethylammonium propionate (MEAP) > 2-hydroxyethylammonium lactate (MEAL). The cytotoxicity results demonstrated that the 2-hydroxyethylammonium-based PILs have low to moderate toxicity which is influenced by encompassing concentration, exposure time, and cell line characteristics.

Availability of data and materials

The datasets utilized and/or analyzed during this study are available from the corresponding author on reasonable request.

Abbreviations

VOCs:

Volatile organic compounds

PILs:

Protic ionic liquids

IMC:

Indomethacin

MEAA:

2-Hydroxyethylammonium acetate

MEAL:

2-Hydroxyethylammonium lactate

MEAP:

2-Hydroxyethylammonium propionate

References

  1. Boli E, Katsavrias T, Voutsas E. Viscosities of pure protic ionic liquids and their binary and ternary mixtures with water and ethanol. Fluid Phase Equilibria. 2020;520: 112663.

    Article  CAS  Google Scholar 

  2. Greaves TL, Weerawardena A, Krodkiewska I, Drummond CJ. Protic ionic liquids: physicochemical properties and behavior as amphiphile self-assembly solvents. J Phys Chem B. 2008;112:896–905.

    Article  CAS  PubMed  Google Scholar 

  3. Amaral M, Pereiro AB, Gaspar MM, Reis CP. Recent advances in ionic liquids and nanotechnology for drug delivery. Nanomedicine. 2021;16:63–80.

    Article  CAS  PubMed  Google Scholar 

  4. Wang C, Chopade SA, Guo Y, Early JT, Tang B, Wang E, et al. Preparation, characterization, and formulation development of drug–drug protic ionic liquids of diphenhydramine with ibuprofen and naproxen. Mol Pharm. 2018;15:4190–201.

    Article  CAS  PubMed  Google Scholar 

  5. Smith EL, Abbott AP, Ryder KS. Deep eutectic solvents (DESs) and their applications. Chem Rev. 2014;114:11060–82.

    Article  CAS  PubMed  Google Scholar 

  6. Valvanix SC, Yalkowsky SH, Roseman TJ. Solubility and partitioning IV: aqueous solubility and octanol-water partition coefficients of liquid nonelectrolytes. J Pharm Sci. 1981;70:502–7.

    Article  Google Scholar 

  7. Chen X, Fadda HM, Aburub A, Mishra D, Pinal R. Cosolvency approach for assessing the solubility of drugs in poly (vinylpyrrolidone). Int J Pharm. 2015;494:346–56.

    Article  CAS  PubMed  Google Scholar 

  8. Clark JH, Tavener SJ. Alternative solvents: shades of green. Org Process Res Dev. 2007;11:149–55.

    Article  CAS  Google Scholar 

  9. Deetlefs M, Seddon KR. Assessing the greenness of some typical laboratory ionic liquid preparations. Green Chem. 2010;12:17–30.

    Article  CAS  Google Scholar 

  10. Petkovic M, Seddon KR, Rebelo LPN, Pereira CS. Ionic liquids: a pathway to environmental acceptability. Chem Soc Rev. 2011;40:1383–403.

    Article  CAS  PubMed  Google Scholar 

  11. Abbott AP, Capper G, Davies DL, Rasheed RK, Tambyrajah V. Novel solvent properties of choline chloride/urea mixtures. Chem Commun. 2003. https://doi.org/10.1039/B210714G.

    Article  Google Scholar 

  12. Abbott AP, Capper G, Davies DL, Munro HL, Rasheed RK, Tambyrajah V. Preparation of novel, moisture-stable, Lewis-acidic ionic liquids containing quaternary ammonium salts with functional side chainsElectronic supplementary information (ESI) available: plot of conductivity vs. temperature for the ionic liquid formed from zinc chloride and choline chloride (2:1). See http://www.rsc.org/suppdata/cc/b1/b106357j. Chem Commun. 2001;2010–1.

  13. Sun X, Yin Q, Ding S, Shen Z, Bao Y, Gong J, et al. (Solid+ liquid) phase diagram for (indomethacin+ nicotinamide)-methanol or methanol/ethyl acetate mixture and solubility behavior of 1:1 (indomethacin+ nicotinamide) co-crystal at T=(298.15 and 313.15) K. J Chem Thermodyn. 2015;85:171–7.

    Article  CAS  Google Scholar 

  14. Peña MÁ, Delgado DR, Martínez F. Preferential solvation of indomethacin in some aqueous co-solvent mixtures. Chem Eng Commun. 2016;203:619–27.

    Article  Google Scholar 

  15. Shekaari H, Zafarani-Moattar MT, Mokhtarpour M. Solubility, volumetric and compressibility properties of acetaminophen in some aqueous solutions of choline based deep eutectic solvents at T=(288.15 to 318.15) K. Eur J Pharm Sci. 2017;109:121–30.

    Article  CAS  PubMed  Google Scholar 

  16. Shekaari H, Zafarani-Moattar MT, Shayanfar A, Mokhtarpour M. Effect of choline chloride/ethylene glycol or glycerol as deep eutectic solvents on the solubility and thermodynamic properties of acetaminophen. J Mol Liq. 2018;249:1222–35.

    Article  CAS  Google Scholar 

  17. Shekaari H, Zafarani-Moattar MT, Mokhtarpour M. Experimental determination and correlation of acetaminophen solubility in aqueous solutions of choline chloride based deep eutectic solvents at various temperatures. Fluid Phase Equilibria. 2018;462:100–10.

    Article  CAS  Google Scholar 

  18. Shekaari H, Mokhtarpour M, Nesari P, Khorsandi M, Behboudi MR, Golmohammadi B. Measurement and thermodynamic modeling of lamotrigine solubility in the presence of some choline-based ionic liquids. J Chem Eng Data. 2021;66:2200–8.

    Article  CAS  Google Scholar 

  19. Mokhtarpour M, Basteholia N, Shekaari H, Zafarani-Moattar MT. Effect of choline-based ionic liquids as novel green solvents on the aqueous solubility enhancement and thermodynamic properties of acetaminophen. J Mol Liq. 2020;306: 112504.

    Article  CAS  Google Scholar 

  20. Renon H, Prausnitz JM. Local compositions in thermodynamic excess functions for liquid mixtures. AIChE J. 1968;14:135–44.

    Article  CAS  Google Scholar 

  21. Abrams DS, Prausnitz JM. Statistical thermodynamics of liquid mixtures: a new expression for the excess Gibbs energy of partly or completely miscible systems. AIChE J. 1975;21:116–28.

    Article  CAS  Google Scholar 

  22. Qin X, Xu Y, Lou B, Liu C, Zhang L, Liu X, et al. Enhanced direct crystallization resolution of racemates mediated in chiral ionic liquid cosolvent mixtures: experimental, statistical, and QM simulation studies. Cryst Growth Des. 2023;23:4607–20.

    Article  CAS  Google Scholar 

  23. Bečić E, Šober M, Imamović B, Završnik D, Špirtović-Halilović S. UV/VIS absorption and fluorescence spectroscopic study of some 3-substituted derivatives of 4-hydroxycoumarin. Pigm Resin Technol. 2011;40:292–7.

    Article  Google Scholar 

  24. Larsson J. Methods for measurement of solubility and dissolution rate of sparingly soluble drugs. 2009.

  25. Forte A, Melo CI, Bogel-Lukasik R, Bogel-Lukasik E. A favourable solubility of isoniazid, an antitubercular antibiotic drug, in alternative solvents. Fluid Phase Equilibria. 2012;318:89–95.

    Article  CAS  Google Scholar 

  26. Shekaari H, Zafarani-Moattar MT, Mokhtarpour M, Faraji S. Effect of 1-ethyl-3-methylimidazolium ethyl sulfate ionic liquid on the solubility of indomethacin in aqueous solutions at various temperatures. J Mol Liq. 2018;260:166–72.

    Article  CAS  Google Scholar 

  27. Twentyman PR, Luscombe M. A study of some variables in a tetrazolium dye (MTT) based assay for cell growth and chemosensitivity. British J Cancer. 1987;56(3):279–85. https://doi.org/10.1038/bjc.1987.190.

    Article  CAS  Google Scholar 

  28. Li R, Yan H, Wang Z, Gong J. Correlation of solubility and prediction of the mixing properties of ginsenoside compound K in various solvents. Ind Eng Chem Res. 2012;51:8141–8.

    Article  CAS  Google Scholar 

  29. Gondoghdi PA, Khorsandi M, Shekaari H, Mokhtarpour M. Solubility improvement of indomethacin by novel biodegradable eutectic solvents based on protic ionic liquid monoethanolamine carboxylate/ethylene glycol. J Drug Deliv Sci Technol. 2023;86: 104564.

    Article  Google Scholar 

  30. Long B, Li J, Song Y, Du J. Temperature dependent solubility of α-form l-glutamic acid in selected organic solvents: measurements and thermodynamic modeling. Ind Eng Chem Res. 2011;50:8354–60.

    Article  CAS  Google Scholar 

  31. Pitzer KS. Activity coefficients in electrolyte solutions. Boca Raton: CRC Press; 2018.

    Book  Google Scholar 

  32. Khorsandi M, Shekaari H, Mokhtarpour M, Hamishehkar H. Cytotoxicity of some choline-based deep eutectic solvents and their effect on solubility of coumarin drug. Eur J Pharm Sci. 2021;167: 106022.

    Article  CAS  PubMed  Google Scholar 

  33. Pitzer KS. Electrolytes. From dilute solutions to fused salts. J Am Chem Soc. 1980;102:2902–6.

    Article  CAS  Google Scholar 

  34. Yan H, Wang Z, Wang J. Correlation of solubility and prediction of the mixing properties of capsaicin in different pure solvents. Ind Eng Chem Res. 2012;51:2808–13.

    Article  CAS  Google Scholar 

  35. Liu B-S, Gong J-B, Wang J-K, Jia C-Y. Solubility of potassium clavulanate in ethanol, 1-propanol, 1-butanol, 2-propanol, and 2-methyl-1-propanol between 273 K and 305 K. J Chem Eng Data. 2005;50:1684–6.

    Article  CAS  Google Scholar 

  36. Zhang H, Wang M, Chen L, Liu Y, Liu H, Huo H, et al. Structure-solubility relationships and thermodynamic aspects of solubility of some flavonoids in the solvents modeling biological media. J Mol Liq. 2017;225:439–45.

    Article  CAS  Google Scholar 

  37. Vahdati S, Shayanfar A, Hanaee J, Martínez F, Acree WE, Jouyban A. Solubility of carvedilol in ethanol + propylene glycol mixtures at various temperatures. Ind Eng Chem Res. 2013;52:16630–6.

    Article  CAS  Google Scholar 

  38. Chen G, Chen J, Cheng C, Cong Y, Du C, Zhao H. Solubility and preferential solvation of econazole nitrate in binary solvent mixtures of methanol, ethanol and 1, 4-dioxane in water. J Chem Thermodyn. 2017;111:228–37.

    Article  CAS  Google Scholar 

  39. Apelblat A, Manzurola E. Solubility of oxalic, malonic, succinic, adipic, maleic, malic, citric, and tartaric acids in water from 278.15 to 338.15 K. J Chem Thermodyn. 1987;19:317–20.

    Article  CAS  Google Scholar 

  40. Apelblat A, Manzurola E. Solubilities ofo-acetylsalicylic, 4-aminosalicylic, 3, 5-dinitrosalicylic, andp-toluic acid, and magnesium-dl-aspartate in water fromT=(278 to 348) K. J Chem Thermodyn. 1999;31:85–91.

    Article  CAS  Google Scholar 

  41. Cheng C, Cong Y, Du C, Yao G, Zhao H. Solubility determination and thermodynamic models for dehydroepiandrosterone acetate in mixed solvents of (ethyl acetate+ methanol),(ethyl acetate+ ethanol) and (ethyl acetate+ isopropanol). J Chem Thermodyn. 2016;101:372–9.

    Article  CAS  Google Scholar 

  42. Shakeel F, Alshehri S, Imran M, Haq N, Alanazi A, Anwer MK. Experimental and computational approaches for solubility measurement of pyridazinone derivative in binary (DMSO+ water) systems. Molecules. 2020;25:171.

    Article  CAS  Google Scholar 

  43. Ruidiaz MA, Delgado DR, Martínez F, Marcus Y. Solubility and preferential solvation of indomethacin in 1, 4-dioxane+ water solvent mixtures. Fluid Phase Equilibria. 2010;299:259–65.

    Article  CAS  Google Scholar 

  44. Hildebrand JH, Prausnitz JM, Scott RL. Regular and related solutions: the solubility of gases, liquids, and solids. New York: Chapman & Hall; 1970.

    Google Scholar 

  45. Holguín AR, Rodríguez GA, Cristancho DM, Delgado DR, Martínez F. Solution thermodynamics of indomethacin in propylene glycol+ water mixtures. Fluid Phase Equilibria. 2012;314:134–9.

    Article  Google Scholar 

  46. Moldover MR, Trusler JPM, Edwards TJ, Mehl JB, Davis RS. Measurement of the universal gas constant R using a spherical acoustic resonator. Phys Rev Lett. 1988;60:249–52.

    Article  CAS  PubMed  Google Scholar 

  47. Krug RR, Hunter WG, Grieger RA. Enthalpy-entropy compensation. 2. Separation of the chemical from the statistical effect. J Phys Chem. 1976;80:2341–51.

    Article  CAS  Google Scholar 

  48. Zhou X, Fan J, Li N, Du Z, Ying H, Wu J, et al. Solubility of l-phenylalanine in water and different binary mixtures from 288.15 to 318.15 K. Fluid Phase Equilibria. 2012;316:26–33.

    Article  CAS  Google Scholar 

  49. Wang S, Qin L, Zhou Z, Wang J. Solubility and solution thermodynamics of betaine in different pure solvents and binary mixtures. J Chem Eng Data. 2012;57:2128–35.

    Article  CAS  Google Scholar 

  50. Perlovich GL, Kurkov SV, Kinchin AN, Bauer-Brandl A. Thermodynamics of solutions III: comparison of the solvation of (+)-naproxen with other NSAIDs. Eur J Pharm Biopharm. 2004;57:411–20.

    Article  CAS  PubMed  Google Scholar 

  51. Lou B, Xu Y, Qin X, Liu C, Wang S, Yuan H, et al. Solubility measurement and molecular simulation of unsolvated and solvated estrogen receptor agonist (R)-equol in binary solvents (alcohols+ n-heptane) from 273.15 K to 333.15 K. J Mol Liq. 2023;376: 121460.

    Article  CAS  Google Scholar 

  52. Holguín AR, Delgado DR, Martínez F, Marcus Y. Solution thermodynamics and preferential solvation of meloxicam in propylene glycol + water mixtures. J Solut Chem. 2011;40:1987–99.

    Article  Google Scholar 

  53. Jouyban-Gharamaleki A, Hanaee J. A novel method for improvement of predictability of the CNIBS/RK equation. Int J Pharm. 1997;154:245–7.

    Article  CAS  Google Scholar 

  54. Khorsandi M, Shekaari H, Mokhtarpour M. Measurement and correlation of coumarin solubility in aqueous solution of acidic deep eutectic solvents based on choline chloride. Fluid Phase Equilibria. 2020;524: 112788.

    Article  CAS  Google Scholar 

  55. Schuerch C. The solvent properties of liquids and their relation to the solubility, swelling, isolation and fractionation of lignin. J Am Chem Soc. 1952;74:5061–7.

    Article  CAS  Google Scholar 

  56. Altamash T, Amhamed A, Aparicio S, Atilhan M. Effect of hydrogen bond donors and acceptors on CO2 absorption by deep eutectic solvents. Processes. 2020;8:1533.

    Article  CAS  Google Scholar 

  57. Atjanasuppat K, Wongkham W, Meepowpan P, Kittakoop P, Sobhon P, Bartlett A, et al. In vitro screening for anthelmintic and antitumour activity of ethnomedicinal plants from Thailand. J Ethnopharmacol. 2009;123:475–82.

    Article  PubMed  Google Scholar 

  58. Baharum Z, Akim AM, Taufiq-Yap YH, Hamid RA, Kasran R. In vitro antioxidant and antiproliferative activities of methanolic plant part extracts of Theobroma cacao. Molecules. 2014;19:18317–31.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors are grateful for the financial support of the graduate council of the University of Tabriz.

Funding

The University of Tabriz’s Graduate Council provided financial support (Funding Declaration), for which the authors are thankful.

Author information

Authors and Affiliations

Authors

Contributions

The manuscript was written through contributions of all authors. All authors have given approval to the final version of the manuscript.

Corresponding author

Correspondence to Hemayat Shekaari.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no know competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Akbarzadeh Gondoghdi, P., Khorsandi, M., Mokhtarpour, M. et al. Effect of 2-hydroxyethylammonium carboxylate protic ionic liquids on the solubility and cytotoxicity of indomethacin. BMC Chemistry 18, 109 (2024). https://doi.org/10.1186/s13065-024-01212-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13065-024-01212-4

Keywords