Solubility of all-trans retinoic acid in supercritical carbon dioxide
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چکیده
منابع مشابه
Measurement and Modeling of Acridine Solubility in Supercritical Carbon Dioxide
Supercritical carbon dioxide has gained increasing attention in food and pharmaceutical processing owing to the fact that it is environmentally inexpensive, not flammable, essentially non-toxic, and it has a convenient critical point. Also, it has been attracting much attention in many fields, such as extraction of sensitive materials and pharmaceutical processing and polymerization processes. ...
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Using a continuous flow apparatus, the solubility of tridodecylamine (TDA) in supercritical CO2 (scCO2), have been measured at temperatures of 308, 318, and 328 K in the pressure range of (8-40) MPa and a flow rate of 150 ± 10 mL min. At 308 and 318 K the solubility increases with pressure up to 15 MPa where it reaches a plateau. At 328 K the solubility increases with pressure up to 35 MPa and ...
متن کاملSolubility Prediction of Drugs in Supercritical Carbon Dioxide Using Artificial Neural Network
The descriptors computed by HyperChem® software were employed to represent the solubility of 40 drug molecules in supercritical carbon dioxide using an artificial neural network with the architecture of 15-4-1. The accuracy of the proposed method was evaluated by computing average of absolute error (AE) of calculated and experimental logarithm of solubilities. The AE (±SD) of data sets was 0.4 ...
متن کاملmeasurement and modeling of acridine solubility in supercritical carbon dioxide
supercritical carbon dioxide has gained increasing attention in food and pharmaceutical processing owing to the fact that it is environmentally inexpensive, not flammable, essentially non-toxic, and it has a convenient critical point. also, it has been attracting much attention in many fields, such as extraction of sensitive materials and pharmaceutical processing and polymerization processes. ...
متن کاملSolubility Prediction of Drugs in Supercritical Carbon Dioxide Using Artificial Neural Network
The descriptors computed by HyperChem® software were employed to represent the solubility of 40 drug molecules in supercritical carbon dioxide using an artificial neural network with the architecture of 15-4-1. The accuracy of the proposed method was evaluated by computing average of absolute error (AE) of calculated and experimental logarithm of solubilities. The AE (±SD) of data sets was 0.4 ...
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ژورنال
عنوان ژورنال: The Journal of Supercritical Fluids
سال: 2015
ISSN: 0896-8446
DOI: 10.1016/j.supflu.2014.12.027