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Solubilities of Imipramine HCl in Supercritical Carbon Dioxide

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Department of Chemical Engineering, University of Puerto Rico, Mayagüez, Puerto Rico 00681-9046
Cite this: Ind. Eng. Chem. Res. 2003, 42, 8, 1821–1823
Publication Date (Web):March 22, 2003
https://doi.org/10.1021/ie0109105
Copyright © 2003 American Chemical Society

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    Abstract

    The solubility of imipramine HCl in supercritical carbon dioxide has been measured experimentally by a gravimetric technique. An ISCO extraction apparatus was modified to carry out the measurements. It consists of a syringe pump, a thermostatic chamber, an equilibrium cell, a variable-flow-rate restrictor, and an ice trap. Experiments were conducted by allowing the supercritical carbon dioxide to slowly flow through the cell, where the imipramine HCl had been previously loaded. The pressure was kept constant, controlled by the pump, and so was the flow rate, controlled by the restrictor. The amount of solute collected in the trap was measured in two different ways for consistency:  gravimetrically and by dissolving the solute collected in methanol and measuring the concentration spectrophotometrically. The amount of solvent was measured by the difference in volume readings in the syringe pump (calculating the density of carbon dioxide at the pump conditions); this value was also determined by measuring an average flow rate of the expanded solvent and the time of the run. A total of 52 measurements were done. Two five-point isotherms, at 40 and 50 °C, were obtained for pressures ranging from 30 to 50 MPa. Measured solubilities were within the range (5−10) × 10-6 mole fraction. These are the only published data for this system.

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     To whom correspondence should be addressed. Tel.:  787-265-3809. Fax:  787-265-3818. E-mail:  [email protected].

    Cited By

    This article is cited by 7 publications.

    1. Dmitriy M. Makarov, Nikolai N. Kalikin, Yury A. Budkov. Prediction of Drug-like Compounds Solubility in Supercritical Carbon Dioxide: A Comparative Study between Classical Density Functional Theory and Machine Learning Approaches. Industrial & Engineering Chemistry Research 2024, 63 (3) , 1589-1603. https://doi.org/10.1021/acs.iecr.3c03208
    2. Imane Euldji, Cherif Si‐Moussa, Mabrouk Hamadache, Othmane Benkortbi. QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide. Molecular Informatics 2022, 41 (10) https://doi.org/10.1002/minf.202200026
    3. A. Abdallah el hadj, M. Laidi, S. Hanini. AI-PCSAFT approach: New high predictive method for estimating PC-SAFT pure component properties and phase equilibria parameters. Fluid Phase Equilibria 2022, 555 , 113297. https://doi.org/10.1016/j.fluid.2021.113297
    4. . Semi-empirical correlation of solid solute solubility in supercritical carbon dioxide: Comparative study and proposition of a novel density-based model. Comptes Rendus. Chimie 2018https://doi.org/10.1016/j.crci.2018.02.006
    5. Cherif Si-Moussa, Aicha Belghait, Latifa Khaouane, Salah Hanini, Asmaa Halilali. Novel density-based model for the correlation of solid drugs solubility in supercritical carbon dioxide. Comptes Rendus. Chimie 2017, 20 (5) , 559-572. https://doi.org/10.1016/j.crci.2016.09.009
    6. Jung-Teag Kim, Hong-Lyong Kim, Chang-Sik Ju. Micronization and characterization of drug substances by RESS with supercritical CO2. Korean Journal of Chemical Engineering 2010, 27 (4) , 1139-1144. https://doi.org/10.1007/s11814-010-0219-2
    7. Ralf Dohrn, Stephanie Peper, José M.S. Fonseca. High-pressure fluid-phase equilibria: Experimental methods and systems investigated (2000–2004). Fluid Phase Equilibria 2010, 288 (1-2) , 1-54. https://doi.org/10.1016/j.fluid.2009.08.008

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