March 2019 Edition

 February – March edition  Volume 7,  Issue 1

All listed papers are published after full consent of respective author or co-author(s).

For any discussion on research subject or research matter, the reader should directly contact to undersigned authors.

Using Cysteine-CdSe Nanoparticles for Quantification of Ovalbumin Thermal Denaturation by Cyclic and Differential Pulse Voltammetry

Leon Nejem, Maha Mosallb

Abstract: A rapid electrochemical characterization of water soluble cysteine-CdSe nanoparticles (Cys-CdSe NPs) using cyclic (CV) and differential pulse (DPV) voltammetry was studied. The obtained peaks were identified, and the stability was determined. The Cys-CdSe NPs as electrochemical probe for determination of Ovalbumin (Ova) as a model protein, with a new highly sensitive electrochemical method was investigated, and applied by DPV technique. Proposed method was easy with good results in determination of protein in the concentration range 0.1-25 µg.mL­1 (r² = 0.998), the recoveries were within the range of 97.00-100.02 %, with percent relative standard deviations ranging from 0.84 % to 3.10 %.

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Electrochemical Analytic Application of PVA|CdSNPs|GO|Cys Modified Electrode for Determination of Copper Ions

Leon Nejem, Maha Mosallb

Abstract: New rapid directly electrochemical determination of a Cu(II)by Adsorptive Stripping Voltammetry of a differential pulse AdSV, depended on Cadmium Sulfide nanoparticles CdSNPs, a new sensor of PVA|CdSNPs|GO|Cys modified electrode was built and studied for this purpose, and determine of the optimum conditions for determination of Cu(II) used this developed method, this method is easy and sensitive give good results in determination of Cu(II) in the concentration range 2-100 pmol/L (R² = 0.999), the recoveries are within the range of 98.33–101.03 %, with percent relative standard deviations ranging from 0.54 % to 2.17 %, and have the advantage of Selective for Cu(II) determination.

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Role of VKORC1 Gene Polymorphisms in Determining the Optimal Dose of Warfarin in a Group of Syrian Patients

Kamar Shayah, Abduljalil Ghrewati, Mohammad Yaser Abajy, Ibrahim Hadid

Abstract:The main goal of this study is to detect the frequency distribution ofsingle nucleotide polymorphisms (SNPs) of vitamin K epoxide reductase complex subunit 1(VKORC1) gene, and to determine its potential role in the control of warfarin dose inSyrian patients. The study included 125 patients with high risk of thrombosis of adults who visited the Heart Disease & Surgery Hospital (HDSH) and Aleppo University Hospital (AUH) and treated with warfarin as oral anticoagulant therapy, and the dose-corrected by the international normalized ratio (INR) at least three months ago. Genomic DNA was extracted from blood samples, and genotype analysis for VKORC1-1173C>T and VKORC1-1639G>Apolymorphismswas done by polymerase chain reaction-restriction fragment length polymorphism assay (PCR-RFLP). Data were analyzed using SPSS version 20. The results obtained in this study suggest that Genotype frequency distribution of VKORC1-1173C>T and VKORC1-1639G>A polymorphisms was found to be different from other populations and has significant effect on warfarin dose requirement(P<0.05). It is concluded that there is a need to include VKORC1polymorphisms detection tests in the warfarin dosing algorithm, as this has animportant role in reducing serious hemorrhagic or thrombotic complications, especially in patients with the VKORC1-1173C>T(TT) and VKORC1-1639G>A(AA)homozygous mutant genotypes.

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Improving Performance of Direction of Arrival Estimation Using Sparse Arrays in Smart Antenna System

Abed Alnaser Ramadan, Abdel Fattah Fares, Rami Khal

Abstract: This paper indicates importance of using sparse arrays (SA) in direction of arrival (DOA) estimation algorithms in smart antenna system (SAS). Analytical study of sparse arrays is introduced, which include coprime array, extended coprime array, nested array, coprime array with compressed interelement spacing (CACIS), and coprime array with displaced subarrays (CADiS).Paper evaluates these sparse arrays using their difference coarray equivalence and derives the analytical expressions of the coarray aperture, the achievable number of unique lags, the maximum number of consecutive lags and degree of freedom (DOF). Compared to uniform arrays with  sensors, sparse arrays increase the degree of the freedom fromto . For comparison of performance of these sparse arrays, numerical example is introduced, where the results indicate that nested array structure provides coarray with unique lags (that are all consecutive), which are larger than that of prototype and extended coprime. Results also indicate that the CACIS structure yields flexibility in trade-off between unique lags and consecutive lags, whereas the CADiS structure allows the minimum interelement spacing to be much larger than the typical half-wavelength requirement, but at the expense of a decrease in consecutive lags. Furthermore, the nested CADiS slightly outperform the nested CACIS due to the higher number of consecutive lags achieved. We propose the scheme for DOA estimation using suitable sparse arrays with SS-MUSIC or LASSO algorithms. According to results, we can choose suitable sparse array and DOA estimation algorithm in SAS depending to the radio situation and the purpose of this SAS.  All mentioned arrays and algorithms are simulated using MATLAB. Results of simulations support the theoretical expressions.

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Electrochemical Deposition of CdTe Nanowires as Sensor for DPV determination of Uric Acid

Leon Nejem, Maha Mosallb

Abstract: An electrochemical deposition of Cadmium telluride nanowires using-Super-short potential pulses to created adatoms on platinum electrode, then both cyclic and stripping voltammetry was applied to grow the nanowier. The modified electrode was used to differential pulse (DPV) voltammetry determination of Uric acid UA in human blood serum. Proposed method was easy with good results in determination of UA in the concentration4 range
0.10-22.00 µmol/mL (r² = 0.9991), the recoveries were within the range of 97.22-100.40%, with RSD from 0.66% to 2.80%, indicating a good accuracy with high precision of the method.

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