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bijps-929
Formulation and Characterization of Itraconazole as Nanosuspension Dosage Form for Enhancement of Solubility
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Abstract

            Itraconazole is a triazole antifungal given orally for the treatment of oropharyngeal and vulvovaginal candidiasis, for systemic infections including aspergillosis, candidiasis,  and for the prophylaxis of fungal infections in immunocompromised patients.

           The study aimed to formulate a practical water-insoluble Itraconazole, with insufficient bioavailability as nanosuspension to increase aqueous solubility and improve its dissolution and oral bioavailability.

          Itraconazole nanosuspension was produced by a solvent-antisolvent nanoprecipitation method in the presence of different stabilisers (Poloxamer-188, HPMCE5) at different ratios with the drug alone or combination with surfactant(tween 80, SLS).

         The results exhibit that the particle sizes of all prepared itraconazole formulations were in the nano size.  The best formula (F6) has a particle size.  ( 42  ) nm and Zeta potential of (- 21.86 ) mV.  In vitro cumulative release from the nanosuspension was (88 %) at (30) min when compared to the pure drug (13%) and lyophilized nanoparticles (98.2%) at (30)min. Effect of different parameters was investigated.

          Fourier transforms infrared spectroscopy(FTIR), Differential scanning calorimetry (DSC) and X-ray diffraction (XRD), Scanning electron microscope( SEM) was done for the optimized  nanoparticles prepared by lyophilization technique

        Thus, Nanosuspension appears to be an encouraging approach to formulate Itraconazole nanosuspension with high solubility and dissolution rate.

 

 

 

 

 

 

 

Keywords: Itraconazole, Nanoprecipitation method, Nanosuspension

         

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Publication Date
Sun Feb 10 2019
Journal Name
Iraqi Journal Of Physics
A nonlinear edge –preserving smoothing filter for edge detection on color and gray satellite images
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A nonlinear filter for smoothing color and gray images
corrupted by Gaussian noise is presented in this paper. The proposed
filter designed to reduce the noise in the R,G, and B bands of the
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prepare images for further processing such as edge detection and
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The results of computer simulations show that the proposed
filter gave satisfactory results when compared with the results of
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by using Cross Correlation Coefficient (ccc) criteria.

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Wed Jul 20 2022
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Sun Jul 01 2018
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Correlation between BOD5 and COD for Al-Diwaniyah wastewater treatment plants to obtain biodegradability indices.
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The present study aims to establish an empirical correlation between biochemical oxygen demand (BOD5) and chemical oxygen demand (COD) of the sewage flowing in Al-Diwaniyah wastewater treatment plant. The strength of the wastewater entering the plant varied from medium to high. High concentrations of BOD5 and COD in the effluent were obtained due to the poor performance of the plant. This was observed from the BOD5 /COD ratios that did not confirm with the typical ratios for the treated sewage. Regression equations for BOD5 and COD removal percentages were suggested which can be used to evaluate rapid effluent assessment after the treatment processes or optimal process control to improve the performance of wastewater treatment plants.

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Publication Date
Wed Aug 01 2018
Journal Name
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Compare to the conditional logistic regression models with fixed and mixed effects for longitudinal data
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Mixed-effects conditional logistic regression is evidently more effective in the study of qualitative differences in longitudinal pollution data as well as their implications on heterogeneous subgroups. This study seeks that conditional logistic regression is a robust evaluation method for environmental studies, thru the analysis of environment pollution as a function of oil production and environmental factors. Consequently, it has been established theoretically that the primary objective of model selection in this research is to identify the candidate model that is optimal for the conditional design. The candidate model should achieve generalizability, goodness-of-fit, parsimony and establish equilibrium between bias and variab

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Green-Synthesized Calcium Oxide Nanoparticles for Adsorption, Antibacterial Applications, and Alleviating Water Stress in Fenugreek
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In this research, a novel synthesis of CaONPs has been developed via an environmentally friendly, green method. Garlic extract (Allium sativum) was used as a green-reducing and stabilizing agent for CaONPs. The average particle size of CaONPs was approximately 24.42 nm. The synthesized CaONPs were identified by using Fourier transform infrared (FT-IR) spectroscopy, U.V.-vis spectrum, X-ray diffraction (XRD), Field Emission-Scanning Electron Microscopy (FE-SEM), Transmission Electron Microscopy, transmission electron microscopy (TEM), Energy Dispersive X-ray spectroscopy (EDX), Atomic Force Microscopy (AFM), and zeta potential (Zp) analysis. The current study highlights the notable applications for CaONPs. First, an antimicrobial assay revea

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