scholarly journals Prediction of supercritical carbon dioxide solubility in polymers based on hybrid artificial intelligence method integrated with the diffusion theory

RSC Advances ◽  
2017 ◽  
Vol 7 (78) ◽  
pp. 49817-49827 ◽  
Author(s):  
Li Mengshan ◽  
Liu Liang ◽  
Huang Xingyuan ◽  
Liu Hesheng ◽  
Chen Bingsheng ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Carbon Dioxide ◽  
Supercritical Carbon Dioxide ◽  
Prediction Model ◽  
Diffusion Theory ◽  
Solubility Prediction ◽  
Model Based ◽  
Hybrid Artificial Intelligence ◽  
Supercritical Carbon

A solubility prediction model based on a hybrid artificial intelligence method integrated with diffusion theory is proposed.

Connectionist approaches for solubility prediction of n-alkanes in supercritical carbon dioxide

2016 ◽  
Vol 29 (1) ◽  
pp. 295-305 ◽  
Author(s):  
Amin Daryasafar ◽  
Navid Daryasafar ◽  
Mohammad Madani ◽  
Mahdi Kalantari Meybodi ◽  
Mohammad Joukar
Keyword(s):  
Carbon Dioxide ◽  
Supercritical Carbon Dioxide ◽  
Solubility Prediction ◽  
Supercritical Carbon

scholarly journals Solubility Modelling pf Butterfly Wing Leaves (Christia Vespertilionis) in Supercritical Carbon Dioxide

2018 ◽  
Vol 7 (3.26) ◽  
pp. 9
Author(s):  
Izni A. A. Hamid ◽  
Norhuda Ismail ◽  
Ana N. Mustapa ◽  
Norazah A. Rahman
Keyword(s):  
Carbon Dioxide ◽  
Supercritical Carbon Dioxide ◽  
Solubility Prediction ◽  
Anti Cancer ◽  
Empirical Density ◽  
Best Fitting ◽  
Pharmaceutical Industries ◽  
Green Technique ◽  
Supercritical Carbon

Medicinal herb Christia vespertilionis oil has been claimed to possess anti-cancer and anti-plasmodial properties and show interest in food and pharmaceutical industries. Being an important alternative medicine plant, solubility data of Christia vespertilionis oil is demanded in order to understand the separation process and is crucial for designing purposes. In this work, extraction and determination of the oil’s solubility were carried out using a green technique of supercritical carbon dioxide at a temperature range of 40 to 60℃ and 276 to 414 bar of pressure. The results demonstrated that the highest solubility was obtained at the highest temperature and pressure of 60℃ and 414 bar, respectively. For solubility prediction, experimental data were modelled using four empirical density-based models: Chrastil, del Valle and Aguilera, Adachi and Lu, and Sparks et al. models. In general, all the models were able to predict the solubility of Christia vespertilionis oil in supercritical carbon dioxide. The best fitting showed that Adachi and Lu model gave the best correlation with the lowest %AARD value of 1.61%.  

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