Abstract
Acetylsalicylic acid is one of the most exchanged pharmaceuticals in the world. However, it was scarcely studied when it was in solution. Solubility of acetylsalicylic acid in ethanol, acetone, propylene glycol, and 2-propanol were determined in the temperature range between 270-360 K using Aspen Plus V14 as for binary systems. Three thermodynamic models (NRTL, UNIFAC, and UNIQUAC) of Aspen Plus were used for the simulations and the results were validated based on previous experimental work by Maia and Giulietti (2008). The results showed that ethanol, propylene glycol, and 2-propanol had excellent agreement between modeled and experimental solubility values, while acetone had little discrepancy, highlighting the need for extensive modeling. The NRTL thermodynamic model outperformed others, especially in ethanol. Temperature-dependent solubility was determined in all solvents, with 2-propanol showing significant similarity between actual and simulated data. Propylene glycol and ethanol gave similar results to the experiments till 310 K and showed slight deviation at high temperatures. This study highlights the relevance of solvent-specific factors and accurate modeling for solubility prediction, providing useful information for medical and chemical applications.
| Original language | English |
|---|---|
| Journal | Engineered Science |
| Volume | 26 |
| DOIs | |
| Publication status | Published - 2023 |
Funding
This research is funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant No. AP14871259) and the Collaborative Research Grant of Nazarbayev University (Project ref. no. 20122022CRP1609).
| Funders | Funder number |
|---|---|
| Ministry of Education and Science of the Republic of Kazakhstan | AP14871259 |
| Nazarbayev University | 20122022CRP1609 |
Keywords
- Acetylsalicylic acid
- Aspen Plus
- Aspirin
- Modelling
- Organic solvents
- Solubility
ASJC Scopus subject areas
- Chemistry (miscellaneous)
- General Materials Science
- Energy Engineering and Power Technology
- General Engineering
- Physical and Theoretical Chemistry
- Artificial Intelligence
- Applied Mathematics
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