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Enhancement of Solubility and Improvement of Dissolution Rate of Atorvastatin Calcium Prepared as Nanosuspension
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       Atorvastatin have problem of very slightly aqueous solubility (0.1-1 mg/ml). Nano-suspension is used to enhance it’s of solubility and dissolution profile. The aim of this study is to formulate Atorvastatin as a nano-suspension to enhance its solubility due to increased surface area of exposed for dissolution medium, according to Noyes-Whitney equation.

        Thirty one formulae were prepared to evaluate the effect of ; Type of polymer, polymer: drug ratio, speed of homogenization, temperature of preparation and inclusion of co-stabilizer in addition to the primary one; using solvent-anti-solvent precipitation method under high power of ultra-sonication. In this study five types of stabilizers (TPGS, PVP K30, HPMC E5, HPMC E15, and Tween80) were used in three different concentrations 1:1, 1:0.75 and 1:0.5 for preparing of formulations. At the same time, tween80 and sodium lauryl sulphate have been added as a co-stabilizer. 

        Atorvastatin nano-suspensions were evaluated for particle size, PDI, zeta potential, crystal form and surface morphology. Finally, results of particle size analysis revealed reduced nano-particulate size to 81nm for optimized formula F18 with the enhancement of in-vitro dissolution profile up to 90% compared to 44% percentage cumulative release for the reference Atorvastatin calcium powder in 6.8 phosphate buffer media. Furthermore, saturation solubility of freeze dried Nano suspension showed 3.3, 3.8, and 3.7 folds increments in distilled water, 0.1N Hcl and 6.8 phosphate buffers, respectively. Later, freeze dried powder formulated as hard gelatin capsules and evaluated according to the USP specifications of the drug content and the disintegration time.

       As a conclusion; formulation of poorly water soluble Atorvastatin calcium as nano suspension significantly improved the dissolution of the drug and enhances its solubility.

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Publication Date
Sun Jul 02 2023
Journal Name
Iraqi Journal Of Science
Elastic Electron Scattering form Factors for Odd-A 2s-1d Shell Nuclei
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The charge density distributions (CDD) and the elastic electron scattering form
factors F(q) of the ground state for some odd mass nuclei in the 2s 1d shell, such
as K Mg Al Si 19 25 27 29 , , , and P 31
have been calculated based on the use of
occupation numbers of the states and the single particle wave functions of the
harmonic oscillator potential with size parameters chosen to reproduce the observed
root mean square charge radii for all considered nuclei. It is found that introducing
additional parameters, namely; 1  , and , 2  which reflect the difference of the
occupation numbers of the states from the prediction of the simple shell model leads
to very good agreement between the calculated an

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Publication Date
Sun Oct 22 2023
Journal Name
Iraqi Journal Of Science
Elastic Electron Scattering form Factors for Odd-A 2s-1d Shell Nuclei
...Show More Authors

The charge density distributions (CDD) and the elastic electron scattering form
factors F(q) of the ground state for some odd mass nuclei in the 2s 1d shell, such
as K Mg Al Si 19 25 27 29 , , , and P 31
have been calculated based on the use of
occupation numbers of the states and the single particle wave functions of the
harmonic oscillator potential with size parameters chosen to reproduce the observed
root mean square charge radii for all considered nuclei. It is found that introducing
additional parameters, namely; 1  , and , 2  which reflect the difference of the
occupation numbers of the states from the prediction of the simple shell model leads
to very good agreement between the calculated an

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Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
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        In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through  Monte Carlo simulation technique were made depend on mean squared error (MSE)  criteria

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