TY - JOUR
T1 - Modeling Solubility of Acetylsalicylic Acid in Aspen Plus
AU - Rakhatkyzy, Makpal
AU - Suleimenova, Botakoz
AU - Shaimardan, Minavar
AU - Shah, Dhawal
AU - Nuraje, Nurxat
N1 - Publisher Copyright:
© Engineered Science Publisher LLC 2023.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Acetylsalicylic acid
KW - Aspen Plus
KW - Aspirin
KW - Modelling
KW - Organic solvents
KW - Solubility
UR - https://www.scopus.com/pages/publications/85178352448
UR - https://www.scopus.com/pages/publications/85178352448#tab=citedBy
U2 - 10.30919/es987
DO - 10.30919/es987
M3 - Article
AN - SCOPUS:85178352448
SN - 2576-988X
VL - 26
JO - Engineered Science
JF - Engineered Science
ER -