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Investigation of Solubility Enhancement Approaches of Ticagrelor
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ABSTRACT

                   Ticagrelor is an orally administered antiplatelet medicine, direct-acting P2Y12-receptor antagonist. Ticagrelor binds reversibly and noncompetitively to the P2Y12 receptor at a site distinct from that of the endogenous agonist adenosine diphosphate (ADP). Inhibition of platelet aggregation stimulated by ADP is a commonly used pharmacodynamic parameter for P2Y12-receptor antagonists.

                  Ticagrelor is a crystalline powder with an aqueous solubility of approximately 10?g/mL at room temperature. Ticagrelor exhibits no pKa value within the physiological range. Ticagrelor does not exhibit pH-dependent solubility and is defined as ‘low solubility low permeability’ under the Biopharmaceutics Classification System (Class IV). The mean absolute bioavailability of ticagrelor in healthy volunteers is 36 %

                   Nanoparticles preparation and complexation is one of the recently used approaches to enhance the solubility of drugs. The aim of the present work was to improve the solubility and dissolution of ticagrelor by preparing nanoparticles and cyclodextrin inclusion complex of ticagrelor and then incorporated in to tablet dosage form. Fifteen formulas of nanoparticles were prepared by antisolvent precipitation method (solvent displacement method) utilizing one of the three polymers (PVP, Poloxamer, and HPMC) at three different drugs: polymer and solvent: anti-solvent ratios and nine formulas of cyclodextrin inclusion complex with HP?CD  by three preparation methods, physical trituration, kneading and solvent evaporation, which increase the solubility and dissolution rate of ticagrelor via formation of inclusion complex with HP?CD.

              The prepared formulas were characterized regarding the saturated solubility, polydispersity index, particle size by nano laser particle size analyzer, % yield, entrapment efficiency, and flowability, FTIR, DSC, and SEM. The selected formulas were prepared as tablets.

             The prepared tablets were evaluated for drug content, weight variation, hardness, and friability. In vitro dissolution data of the prepared tablets were analyzed using similarity factor (f2) and dissolution efficiency (DE).  

           Among all the prepared nanoparticles formulas, formula (F12) which contain HPMC as a polymer at polymer: drug ratio of (1:1) and solvent: antisolvent ratio of (1:1) was considered as the optimum formula which shows good evaluation parameters in addition to the increment in the solubility to about 9 times than that of the pure drug. The nanoparticle of the selected formula (F12) incorporated tablets showed an acceptable tablet properties in addition to a considerable increase in the dissolution efficiency to (DE=92 % and 88 % in PH 1.2 and PH 6.8 respectively) in comparison to that of the marketed tablet (DE=89% and 85% in PH 1.2 and PH 6.8 respectively).  Moreover, the analysis by DSC and SEM of the nanoparticles of the selected formula (F12) indicate a reduction in the crystallinity and amorphization of the drug. It can be concluded that the selected formula is a promising formula for the preparation of ticagrelor nanoparticles the incorporation in a tablet dosage form.

          Regarding ticagrelor inclusion complex with HP?CD Solvent evaporation method was the most effective method regarding ticagrelor solubilization and optimum formula of inclusion complex (F23) show increment in saturated solubility about ten times that of pure drug.

          The ticagrelor inclusion complex of the selected formula (F23) incorporated tablets showed an acceptable tablet properties in addition to a considerable increase in the dissolution efficiency to (DE=92 % and 90 % in PH 1.2 and PH 6.8 respectively) in comparison to that of the marketed tablet (DE=89% and 85% in PH 1.2 and PH 6.8 respectively).  

 

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Publication Date
Tue Sep 01 2009
Journal Name
Al-khwarizmi Engineering Journal
The Investigation of Monitoring Systems for SMAW Processes
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The monitoring weld quality is increasingly important because great financial savings are possible because of it, and this especially happens in manufacturing where defective welds lead to losses in production and necessitate time consuming and expensive repair. This research deals with the monitoring and controllability of the fusion arc welding process using Artificial Neural Network (ANN) model. The effect of weld parameters on the weld quality was studied by implementing the experimental results obtained from welding a non-Galvanized steel plate ASTM BN 1323 of 6 mm thickness in different weld parameters (current, voltage, and travel speed) monitored by electronic systems that are followed by destructive (Tensile and Bending) and non

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Publication Date
Wed Feb 01 2017
Journal Name
Journal Of Multidisciplinary Engineering Science Studies
Investigation of p-Ps Produced by Electrochemical Etching
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The nanocrystalline porous silicon (PS) films are prepared by electrochemical etching ECE of p -type silicon wafer with current density (10mA/cm ) and etching times on the formation nano -sized pore array with a dimension of around different etching time (10 and 20) min. The films were characterized by the measurement of XRD, atomic force microscopy properties (AFM). We have estimated crystallites size from X -Ray diffraction about nanoscale for PS and AFM confirms the nanometric size Chemical fictionalization during the electrochemical etching show on the surface chemical composition of PS. The atomic force microscopy investigation shows the rough silicon surface, with increasing etching process (current density and etching time) porous st

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Publication Date
Sat Mar 01 2008
Journal Name
Iraqi Journal Of Physics
An Investigation of Photoconductivity in Indium Antimonide Crystal
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Various Hall Effects have been successfully observed in samples of n-type indium antimonide with values for conductivity, energy gap, Hall mobility and Hall coefficient all agreeing with theory. A particular interest in developing a method for obtaining accurate values of carrier concentrations in semiconductor samples has been fulfilled with an experimental result of (1.6×1016 cm-3 ±10.7%) giving a percentage difference of (6.7%) to a quoted value of (1.5×1016cm-3) at (77K) using an (80mW C.W. CO2) laser beam at (10.6μm) to illuminate a similar sample of n-type indium antimonide, an "Optical" Hall effect has been observed. Although some doubt has been raised as to the validity of effect i.e. "thermal" rather than "Optical", values o

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Publication Date
Wed Dec 30 2009
Journal Name
Iraqi Journal Of Physics
Electrical Investigation of PSi/Si (n-type) structure
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In this work, porous Silicon structures are formed with photochemical etching process of n-type Silicon(111) wafers of resistivity (0.02.cm) in hydrofluoric acid (HF) of concentration (39%wt) under light source of tungeston halogen lamp of (100 Watt) power. Samples were anodized in a solution of 39%HF and ethanol at 1:1 for 15 minutes. The samples were realized on n-type Si substrates Porous Silicon layers of 100m thickness and 30% of porousity. Frequency dependence of conductivity for Al/PSi/Si/Al sandwich form was studied. A frequency range of 102-106Hz was used allowing an accurate determination of the impedance components. Their electronic transport parameters were determined using complex impedance measurements. These measu

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Publication Date
Fri Sep 01 2023
Journal Name
Iraqi Journal Of Physics
Investigation of Numerical Simulation for Adaptive Optics System
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In this study, the performance of the adaptive optics (AO) system was analyzed through a numerical computer simulation implemented in MATLAB. Making a phase screen involved turning computer-generated random numbers into two-dimensional arrays of phase values on a sample point grid with matching statistics. Von Karman turbulence was created depending on the power spectral density. Several simulated point spread functions (PSFs) and modulation transfer functions (MTFs) for different values of the Fried coherent diameter (ro) were used to show how rough the atmosphere was. To evaluate the effectiveness of the optical system (telescope), the Strehl ratio (S) was computed. The compensation procedure for an AO syst

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Publication Date
Sun Jun 21 2020
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Formulation and Investigation of Lacidipine as a Nanoemulsions
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Many pharmaceutical molecules have solubility problems that until yet consist a hurdle that restricts their use in the pharmaceutical preparations. Lacidipine (LCDP) is a calcium-channel blocker with low aqueous solubility and bioavailability.

        Lipid dosage forms are attractive delivery systems for such hydrophobic drug molecules. Nanoemulsion (NE)  is one of the popular methods that has been used to solve the solubility problems of many drugs. LCDP was formulated as a NE utilizing triacetin as an oil phase, tween 80 and tween 60 as a surfactant and ethanol as a co-surfactant. Nine formulas were prepared, and different tests performed to ensure the stability of the NEs, such as thermodyna

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Publication Date
Sun Dec 01 2019
Journal Name
Al-khwarizmi Engineering Journal
Investigation of Effecting Parameters in a Turning Operation
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        In this study multi objective optimization is utilized to optimize a turning operation to reveal the appropriate level of process features. The goal of this work is to evaluate the optimal combination of cutting parameters like feed, spindle speed, inclination angle and workpiece material to have a best surface quality Taguchi technique L9 mixed orthogonal array, has been adopted to optimize the roughness of surface. Three rods of length around (200 mm) for the three metals are used for this work. Each rod is divided into three parts with 50 mm length. For brass the optimum parametric mix for minimum Ra is A1, B1 and C3, i.e., at tool inclination angle (5), feedrate of 0.01, spindle speed of 120

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Publication Date
Mon Mar 23 2020
Journal Name
Journal Of Engineering
Diagnosing Water Problem for Asmari Reservoir in Abu Ghirab Oilfield Using Analytical and Numerical Approaches
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Asmari is the main productive reservoir in Abu Ghirab oilfield in the south-east part of Iraq. It has history production extends from 1976 up to now with several close periods. Recently, the reservoir suffers some problems in production, which are abstracted as water production rising with oil production declining in most wells. The water problem type of the field and wells is identified by using Chan's diagnostic plots (water oil ratio (WOR) and derivative water oil ratio (WOR') against time). The analytical results show that water problem is caused by the channeling due to high permeability zones, high water saturation zones, and faults or fracturing. The numerical approach is also used to study the water movement inside the reser

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Publication Date
Mon Mar 23 2020
Journal Name
Journal Of Engineering
Diagnosing Water Problem for Asmari Reservoir in Abu Ghirab Oilfield Using Analytical and Numerical Approaches
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Asmari is the main productive reservoir in Abu Ghirab oilfield in the south-east part of Iraq. It has history production extends from 1976 up to now with several close periods. Recently, the reservoir suffers some problems in production, which are abstracted as water production rising with oil production declining in most wells. The water problem type of the field and wells is identified by using Chan's diagnostic plots (water oil ratio (WOR) and derivative water oil ratio (WOR') against time). The analytical results show that water problem is caused by the channeling due to high permeability zones, high water saturation zones, and faults or fracturing. The numerical approach is also used to study the water movement insi

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Publication Date
Tue Aug 01 2023
Journal Name
Baghdad Science Journal
A New Model Design for Combating COVID -19 Pandemic Based on SVM and CNN Approaches
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       In the current worldwide health crisis produced by coronavirus disease (COVID-19), researchers and medical specialists began looking for new ways to tackle the epidemic. According to recent studies, Machine Learning (ML) has been effectively deployed in the health sector. Medical imaging sources (radiography and computed tomography) have aided in the development of artificial intelligence(AI) strategies to tackle the coronavirus outbreak. As a result, a classical machine learning approach for coronavirus detection from      Computerized Tomography (CT) images was developed. In this study, the convolutional neural network (CNN) model for feature extraction and support vector machine (SVM) for the classification of axial

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