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Abstract
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Article Information:
Mathematical Equations Applicability for Data Interpretation of Pharmaceutics Nano Sizing by Rapid Expansion of Supercritical Solvent Process
Fatemeh Zabihi and Maryam Otadi
Corresponding Author: Fatemeh Zabihi
Submitted: May 19, 2012
Accepted: June 08, 2012
Published: April 15, 2013 |
Abstract:
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A numerical and theoretical method has been applied to approve the empirical data and understand the operational variables influence on the RESS processed Ibuprofen tiny particles characteristics. Through the RESS method, Ibuprofen nano-particles were produced. The pressure of dissolution cell and the temperature of expansion device were considered as the experimental variables and the impressibility of the particle size distribution by the variables was investigated. The compatibility of 3 different 2-dimensional equations with the experimental results was tested and compared. As a result, 2-D Spline equation showed the best accordance with the experimental data. A 2-D Lagrange model was also fitted on the empirical data adequately. However the Spline calculated results showed a more reliability, especially at the high pressure ranges, where the function (mean particles size) is intensively dominated by the supercritical solution characteristics.
Key words: Lagrange, mathematical data correlation, spline, supercritical fluid technology, , ,
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Cite this Reference:
Fatemeh Zabihi and Maryam Otadi, . Mathematical Equations Applicability for Data Interpretation of Pharmaceutics Nano Sizing by Rapid Expansion of Supercritical Solvent Process. Research Journal of Applied Sciences, Engineering and Technology, (13): 3481-3488.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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