This research is devoted to the effect of investigation of the ZnO content on the structural and electrical properties of (NiO)1-x (ZnO)x films prepared by pulsed laser precipitation on the glass substrate at room temperature. Thin-film (NiO)1-x (ZnO)x sediments were deposited with different composition ratios where x = 0, 0.2, 0.4, 0.6 and 1.0 with a thickness of n150nm. The diffraction pattern for X-ray analysis reveals that the structure of the prepared thin films is identical with the cubic phase and hexadecimal stage of x = 0 and 0.1, respectively while the structure is mixed with the remaining x value from both stages. It involves studying the conductivity versus temperature to estimate conduction mechanisms and the Hall effect for determining type and carrier concentration as well as movement values. The results showed that there are two connection mechanisms and thus activation energies. Hall Effect showed that most of the prepared thin films were converted from type p to n of type x at = 0.2 and 1.0. Concentration of the carrier increases twice the volume while the mobility decreases by two degrees of volume by increasing the ZnO content from 0.0 to 1.0. The results were explained in terms of variation in the size of the crystals by increasing the ZnO content in the prepared thin films.
Two simple methods for the determination of eugenol were developed. The first depends on the oxidative coupling of eugenol with p-amino-N,N-dimethylaniline (PADA) in the presence of K3[Fe(CN)6]. A linear regression calibration plot for eugenol was constructed at 600 nm, within a concentration range of 0.25-2.50 μg.mL–1 and a correlation coefficient (r) value of 0.9988. The limits of detection (LOD) and quantitation (LOQ) were 0.086 and 0.284 μg.mL–1, respectively. The second method is based on the dispersive liquid-liquid microextraction of the derivatized oxidative coupling product of eugenol with PADA. Under the optimized extraction procedure, the extracted colored product was determined spectrophotometrically at 618 nm. A l
... Show MorePorosity plays an essential role in petroleum engineering. It controls fluid storage in aquifers, connectivity of the pore structure control fluid flow through reservoir formations. To quantify the relationships between porosity, storage, transport and rock properties, however, the pore structure must be measured and quantitatively described. Porosity estimation of digital image utilizing image processing essential for the reservoir rock analysis since the sample 2D porosity briefly described. The regular procedure utilizes the binarization process, which uses the pixel value threshold to convert the color and grayscale images to binary images. The idea is to accommodate the blue regions entirely with pores and transform it to white in r
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