The aim of study To purify GPCR from a local strain of S. cerevisiae using Ion exchange and gel filtration chromatography techniques , by packing materials for columns which will be chosen of low cost comparing to the already used in published researches, which depend on the costly affinity chromatography and other expensive methods of purification. Local strain of S. cerevisiae chosen for extraction and purification of G-protein coupled receptor (GPCR) .The strains were obtained from biology department in Al- Mosul University, Iraq. The isolated colony was activated on Yeast Extract Pepton Dextrose Broth (YEPDB) and incubated at 30 C˚ for 24 h .Loop fully of the yeast culture was transferred to (10ml) of yeast extract peptone glucose agar (YEPGA) slant , then incubated at 30C˚for 24h , after that it was stored at 4C˚ ,the yeast cultures were reactivated and persevered after each two weeks period. S.cerevisiae was identified by morphological, microscopic characterization and biochemical test . The GPCR that extract from whole cell of S.cerevisiae was purified by ion exchange chromatography using DEAE-Sepharose ,the bound proteins (negatively charged) were then eluted using gradient concentration of NaCl ranged between( 0.1 -0.5M). Gel filtration chromatography using Sepharose 6B was applied as a second step of purification. The optical density for each fraction was measured at 280 nm by UV-VS spectrophotometer then the GPCR concentration was determined by using ELISA Kit . The fractions which gave the highest absorbance and concentration of GPCR were collected .The molecular weight of GPCR was determined by gel filtration chromatography using blue dextrin solution. Standard curve was plotted between log of molecular weight for standard protein and the ratio of Ve/Vo of GPCR . The purity of the GPCR that extracted and purified from whole cell of S, cerevisiae were carried out by using SDS-PAGE electrophoresis . In ion exchange chromatography the fraction were collected with 5 ml tube at a flow rate 0.5 ml/ min and eluted with gradient (0.1-0.5M) of sodium chloride solution. Two proteins peaks appeared after eluted by the gradient concentration of sodium chloride, while no protein peaks appeared in the washing fractions. The GPCR concentration was measured in the fractions of these two protein peaks, data indicated that GPCR located in the first protein peak (eluted at 0.1M of NaCl) at fraction numbers between 3 and 9, the maximum concentration of GPCR was 9.281 with specific activity 71.58(ng/mg)protein , 3.125 purification folds and72.9(%) yield while the second peaks (eluted at 0.4 M of NaCl) don't give any concentration for GPCR, thus its neglected. Gel filtration chromatography was used as second step of purification which applied by using sepharose 6B. Results show single active protein peaks appeared that identical with the peak of GPCR at fractions numbers(29-35). The maximum concentration of GPCR was 9.082 (ng/ml)was observed in these fractions. The specific activity for these fractions was 151.37 (ng/mg) protein with 6.608 purification folds and 39.64 (%) yield. The present study a chive a relatively high purification of GPCR from whole cell of a local strain S. cerevisiae with fold purification 6.608 and a yield of 39.64 % and molecular weight about~33KD.
Aleppo bentonite was investigated to remove ciprofloxacin hydrochloride from aqueous solution. Batch adsorption experiments were conducted to study the several factors affecting the removal process, including contact time, pH of solution, bentonite dosage, ion strength, and temperature. The optimum contact time, pH of solution and bentonite dosage were determined to be 60 minutes, 6 and 0.15 g/50 ml, respectively. The bentonite efficiency in removing CIP decreased from 89.9% to 53.21% with increasing Ionic strength from 0 to 500mM, and it increased from 89% to 96.9% when the temperature increased from 298 to 318 K. Kinetic studies showed that the pseudo second-order model was the best in describing the adsorption sys
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Detecting and subtracting the Motion objects from backgrounds is one of the most important areas. The development of cameras and their widespread use in most areas of security, surveillance, and others made face this problem. The difficulty of this area is unstable in the classification of the pixels (foreground or background). This paper proposed a suggested background subtraction algorithm based on the histogram. The classification threshold is adaptively calculated according to many tests. The performance of the proposed algorithms was compared with state-of-the-art methods in complex dynamic scenes.
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Microbiological contamination by fungi impacts the quality and safety of wheat grain storage. This study aimed to evaluate the efficacy of cold plasma in restricting the growth of the fungus, Aspergillus niger, which was isolated from wheat grains. A dielectric barrier discharge (DBD) operating at atmospheric pressure generated cold plasma that was used to treat the fungus, and the impact of this treatment was investigated at various periods 1, 2, 4, 6, and 15 minutes. The results revealed a highly significant decrease in the growth and number of spores of Aspergillus niger compared to the controls. This study revealed an efficient technique for enhancing wheat grain storage that could be a foundation for further large-scale studies.
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The issue of cadmium (Cd(II)) contamination of the water is a serious concern of the environmental and health problem, and this requires effective technology to remove the problem of toxic element. It is the purpose of this review paper to give an overview of several techniques of cadmium removal, such as polymer membranes and composites, adsorption using green materials, and electrochemical methods. The important conclusions are presented regarding the effectiveness of the polymer and composite membranes; e.g., the efficacy of the PES/HPEI-SH membrane that reached 99% removal of Cd(II) in 20 min with adsorption capacity of 135.59 mg/cm2, and the PVA/IC/PANI/GO nanofiber composite that indicates high adsorption of the 459 mg/g. The
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Let G be a graph with p vertices and q edges and be an injective function, where k is a positive integer. If the induced edge labeling defined by for each is a bijection, then the labeling f is called an odd Fibonacci edge irregular labeling of G. A graph which admits an odd Fibonacci edge irregular labeling is called an odd Fibonacci edge irregular graph. The odd Fibonacci edge irregularity strength ofes(G) is the minimum k for which G admits an odd Fibonacci edge irregular labeling. In this paper, the odd Fibonacci edge irregularity strength for some subdivision graphs and graphs obtained from vertex identification is determined.
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