ARTÍCULO
TITULO

Model Building on Selectivity of Gas Antisolvent Fractionation Method Using the Solubility Parameter

Máté Mihalovits    
Attila Horváth    
László Lorincz    
Edit Székely    
Sándor Kemény    

Resumen

Solubility parameters are widely used in the polymer industry and are often applied in the high pressure field as well as they give the possibility of combining the effects of all operational parameters on solubility in a single term. We demonstrate a statistical methodology to apply solubility parameters in constructing a model to describe antisolvent fractionation based chiral resolution, which is a complex process including a chemical equilibrium, precipitation and extraction as well. The solubility parameter used in this article, is the Hansen parameter. The evaluation of experimental results of resolution and crystallization of ibuprofen with (R)-phenylethylamine based on diastereomeric salt formation by gas antisolvent fractionation method was carried out. Two sets of experiments were performed, one with methanol as organic solvent in an undesigned experiment and one with ethanol in a designed experiment. The utilization of D-optimal design in order to decrease the necessary number of experiments and to overcome the problem of constrained design space was demonstrated. Linear models including dependence of pressure, temperature and the solubility parameter were appropriate to describe the selectivity of the GASF optical resolution method in both sets of experiments.

 Artículos similares

       
 
Emre Ercan, Muhammed Serdar Avci, Mahmut Pekedis and Çaglayan Hizal    
Structural health monitoring (SHM) plays a crucial role in extending the service life of engineering structures. Effective monitoring not only provides insights into the health and functionality of a structure but also serves as an early warning system f... ver más
Revista: Applied Sciences

 
Shuting Xu and Jinming Xu    
The construction of deep foundation pits in subway stations can affect the settlement of existing buildings adjacent to the pits to varying degrees. In this paper, the Long Short-Term Memory neural network prediction model of building settlement caused b... ver más
Revista: Applied Sciences

 
Zeqin Tian, Dengfeng Chen and Liang Zhao    
Accurate building energy consumption prediction is a crucial condition for the sustainable development of building energy management systems. However, the highly nonlinear nature of data and complex influencing factors in the energy consumption of large ... ver más
Revista: Applied Sciences

 
Zhenyu Feng, Qianqian You, Kun Chen, Houjin Song and Haoxuan Peng    
Evacuation simulation is an important method for studying and evaluating the safety of passenger evacuation, and the key lies in whether it can accurately predict personnel evacuation behavior in different environments. The existing models have good adap... ver más
Revista: Aerospace

 
Florent Grotto, Oscar Peta, Christophe Bouvet, Bruno Castanié and Joël Serra    
Airworthiness certification requires proof of structure strength, which is performed generally through a building block approach. To achieve this, representative intermediate-scale experiments generated by test benches are, in general, needed, in additio... ver más
Revista: Aerospace