Experimental and thermodynamic analyses of supercritical CO2-Solubility of minoxidil as an antihypertensive drug
Graphical abstract
Introduction
Minoxidil (2,4-pyrimidinediamine, 6-(1-piperidinyl)-,3-oxide; C9H15N5O) is among the most widely used medicaments worldwide. Minoxidil is a crystalline powder that is soluble in methanol but rather insoluble in water, acetone and alkaline solutions [1]. Minoxidil is an antihypertensive drug which has a positive effect on treating hypertension by primarily making the arteriolar vascular smooth musculature relaxed. In addition, Minoxidil is effective in the treatment of androgenic alopecia by enlarging the hair follicles while strengthening the hair cycle anagen phase [[2], [3], [4], [5], [6]].
Investigation and determination of solubility of medicines under different operating conditions determine the medicine bioavailability, thereby taking significant parts in the development of a drug product. The design and optimization of the drug crystallization process (to obtained the desired micro/nano particle size (PS), particle size distribution (PSD), and particle morphology) and the scale-up of this process requires a thorough understanding of the drug solubility in the different solvents [7]. In fact, the solubility of medications in the aquatic matrix and the rate of solubility of these drugs are of paramount importance for determining the bioavailability of the pharmaceutical ingredients [8,9]. The Noyes–Whitney equation implies that the extent of solubility and its rate can be increased by decreasing the particle size to extend the particle surface area. Generally, the PS and PSD are major determinants of the solubility of drug compounds [[10], [11], [12]].
Nowadays, drug-dependent processes using supercritical fluid (SCF) techniques have replaced the traditional methods for improving the performance of drug processes without degradation or contamination of the product. Also, experimental data of solubility in SCFs represent the first step and provide the most important data for designing pharmaceutical processes [[13], [14], [15]]. Advantages of the supercritical carbon dioxide (SC–CO2), such as non-explosiveness, non-combustibility, no residual substance, widespread availability, and inexpensiveness, have made the fluid widely used in pharmaceutical-related processes. Additionally, it is a green solvent (environment-friendly) exhibiting high solvating power, small surface tension, high selectivity, non-flammability, recyclability, high purity and low and moderate critical temperature and pressure, respectively ( = 73.8 bar and = 31.4 °C) [[15], [16], [17], [18], [19], [20], [21], [22], [23]].
Due to the limitations of the experiments such as difficulty working in the lab and the time- and cost-intensiveness of experimentally measuring the solubility in SC-CO2, obtaining laboratory data is very difficult. Hence, mathematical modeling and predictive methods are necessary for studying the solubility and equilibrium phase behaviors [20,21,24,25]. Information on nanoparticles and supercritical technologies adopted in the pharmaceutical industry can be rather generated by modeling the data on solubility in the SCF [24]. Such models include thermodynamic models (equation of state; (EoS)), computer-assisted modeling, neural networks, and density-based methods (semi-empirical and empirical approaches). In some of these models, the SCF has been simulated as a gas at a high pressure, while others have approached the SCF as a liquid [24,25]. The models derived from the EoSs need physicochemical and critical properties of the considered medicinal compounds (solid), which are frequently not readily available and rather group contribution methods must be applied to estimate them [[26], [27], [28]]. Also, EoSs call for extremely complex processing tasks that require special tools, rather than conventional software utilities, to address them adequately [29,30]. The empirical models, on the other hand, cannot be utilized unless the SCF temperature, pressure and density are known; these parameters are, in many cases, roughly approximated through an error minimization approach based on the so-called least squares technique [31].
Since the density of the SCF is in the range of liquids (i.e. relatively high), the SCF can be adequately described by modeling it as an expanded liquid [32]. The solid–liquid equilibrium and activity coefficients (ACs) can be devised to scrutinize the solute-SCF phase equilibria thermodynamically. Universal quasi-chemical (UNIQUAC) and modified Wilson's models have been used to explain different phase equilibria (i.e. liquid–solid/liquid/vapor equilibria) [33].
A review of the relevant literature shows that the SC–CO2–solubility of Minoxidil has not been addressed so far. In this regard, the present research attempts to investigate it at various temperatures and pressures. This was done by three groups of models, namely empirical models (the density-based models proposed by Méndez-Santiago and Teja (MST), Kumar and Johnston (K-J), Chrastil, and Bartle et al.), EoSs (Peng-Robinson (PR) and Soave–Redlich– Kwong (SRK)), and expanded liquid models (UNIQUAC and modified Wilson's models). Noteworthy though, the PR and SRK were applied with two types of mixing rules, namely the vdW21) and the WS2 rules. For the WS, the excess Helmholtz free energy was evaluated through the NRTL3 model [34]. The PSO4 algorithm was used to obtain optimal solutions. Accuracy of the proposed models was assessed through evaluating the deviation of their results from the observed solubility values represented by statistical criteria such as 5, 6 and . Further performed were self-consistency assessments of the experimental models. Estimation of the vaporization (), total (), and solvation enthalpies () was further conducted.
Section snippets
Materials
Minoxidil and carbon dioxide were provided by two Iranian companies named Alborz Pharmaceutical Company and Fadak Company, respectively, while the required methanol was obtained from the German Merck company. All chemicals were of analytical grade. The information on these substances are given in Table 1.
Experimental setup and solubility measurement procedure
Solubility measurements on Minoxidil were carried out using a static method. In the present work, a UV–vis spectrophotometer was utilized to statically examine the solubility data of drug in
Theoretical background
Three groups of models including EoSs, semi-empirical density-based models, UNIQUAC and modified Wilson's model (based on activity coefficient) were proposed to correlate the experimental data and predict solubility of Minoxidil in SC-CO2 for the considered binary systems. Soave–Redlich–Kwong (SRK) and Peng-Robinson (PR) equations with van der Waals mixing rule with two adjustable parameters were applied as common cubic EoS models. Moreover, four semi-empirical density-based models with
Experimental solubility data
The SC–CO2–solubility of Minoxidil was measured through the apparatus and the procedure explained in our previous works [17,37,41]. Upon the tests, the mole fraction () and hence solubility () of the Minoxidil in SC-CO2 were measured in the pressure and temperature ranges of 120–270 bar and 308–338 K, respectively. For improving the reliability, the calculations were performed in triplicates to keep the error (i.e. standard deviation) below 5%. The measured solubilities are reported in Table 2
Conclusion
In this study, solubility of Minoxidil in SC-CO2 was measured via a static approach under different sets of operating temperatures (308–338 K) and pressures (120–-270 bar). Based on the results, the drug exhibited a solubility between 0.24 × 10−6 to 3.39 × 10−6 mole fractions, with the maximum solubility observed at 338 K under 270 bar. The drug solubility was further estimated using several correlations based on two EoSs (PR and SRK) with either of two mixing rules (vdW2 and WS), expanded
CRediT authorship contribution statement
Gholamhossein Sodeifian: Conceptualization, Methodology, Validation, Investigation, Supervision, Writing - review & editing. Nedasadat Saadati Ardestani: Methodology, Investigation, Writing - original draft. Fariba Razmimanesh: Investigation, Resources, Funding acquisition, Project administration. Seyed Ali Sajadian: Investigation, Writing - review & editing.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
The authors thank the Research Deputy of University of Kashan for fiscal support this valuable research (Grant # Pajoohaneh-1398/8). The authors would also like to appreciate the Alborz Pharmaceutical Company (Qazvin, Iran), for their cooperation.
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