The aim of the current study was to optimize different cultural and environmental conditions for production the antibacterial bioactive metabolites by Streptomyces rochei M78 isolated from agriculture soil, in Baghdad, Iraq. The effect of various parameters such as, culture media, incubation time, pH, carbon and nitrogen sources, C: N ratios and inducers on antibacterial metabolite production was studied by varying single parameter at a time. It was found from the results that higher metabolite production by isolate observed using starch casein broth (SCB) as the best production medium, at initial pH 7.0.Starch andcasein +yeast extract + peptone appeared to be the best carbon and nitrogen sources respectively and C: N ratio of 4: 1 after 72 h of incubation for optimal production of antibacterial metabolites.Optimization studies indicated that antibacterial metabolites production was associated with bacterial growth, and that the presence of inducers, such asedible oils and diesel oil as well as amino acids in the medium also enhanced antibacterial metabolites production.The most bioactive compounds were produced with soybean oil as the sole carbon source, and leucine as amino acid, yielding an inhibition zone more than 35 mm against all tested pathogenic bacteria.Among different solvents used for the extraction of antibacterial metabolite, ethyl acetate was found to be the best for solvent extraction of the metabolites yielding 2.18 g /l of red to brown extract with oily nature. The antibacterial activity of different extraction fractions of the metabolites showed that the ethyl acetate extract was the most active agent against tested pathogenic bacteria.Physiochemical characteristic of antimicrobial metabolites revealed that the antimicrobial metabolite was red to brown in color, having gummy and oily nature. The purified metabolite was soluble in different solvents, with a melting point of 150 °C. The metabolites of isolate M78 were stable at pH that varies from 4 – 11, maximum antibacterial activity was found at pH 7 and at temperatures ranging from 25 to 100 °C, maximum at 25 °C. Higher bactericidal concentration (BC) of the compound against Gram positive and Gram negative bacteria was determined as 250 μg/ml. The results showed that MBC values of the active metabolite had an impact at lower concentrations than those of standard antibiotic against tested pathogenic bacteria, suggesting that the metabolite was more effective.Theminimum inhibitory concentration value of compounds was 500 μg/ml against all tested bacterial isolates. Thin layer chromatography analysis of active metabolites showed two spots having an Rf value = 0.72 and 0.80.The FTIR spectrum of antibacterial compounds exhibited the presence of OH, C=O functional ester group, and C-H and CH3 groups in the structure. GC-MS analysis of active metabolites detected a total of 23 peaks; two major hydroxylated fatty acids were then identified as octadecanoic acid, 2-(2-hydroxy ethoxy) ethyl ester and tridecanoic acid, 3 methyl-, methyl ester with relative abundance of 100 and 33.63 % respectively.
The research aimed to shed light on the impact of international Accounting Standard No (21) on tax obstacles represented by (tax evasion, double taxation) The financial statements of a group of banks operating in the private sector were relied upon to know the impact of the standard on tax obstacles, as well as knowing the amount of amounts, The researcher relied on the method of financial analysis of that data, which was obtained from the website of the Securities Commission, and conducted personal interviews with a number of university professors, chartered accountants, financial experts, banks, and the General Authority for Taxes to benefit from their
... Show MoreAPDBN Rashid, Review of International Geographical Education Online (RIGEO), 2021
Water has a great self-generating capacity that can neutralize the polluting interventions carried out by humans. However, if human activities continue this uncontrolled and unsustainable exploitation of this resource, this regenerating capacity shall fail and it will be jeopardized definitively. Shatt Al-Arab River in South of Iraq. It has an active role in providing water for irrigation, industry, domestic use and a commercial gateway to Iraq. in the last five years Shatt Al-Arab suffered from a rise in pollutants due to the severe decline in sewage networks, irregular networks and pesticide products, as well as the outputs of factories and companies that find their way to water sources and lead to a widespread collapse of water quality.
... Show MoreThe regular job of a reservoir engineer is to put a development plan to increase hydrocarbon production as possible and within economic and technical considerations. The development strategy for the giant reservoir is a complex and challenging task through the decision-making analysis process. Due to the limited surface water treatment facility, the reservoir management team focuses on minimizing water cut as low as possible by check the flow of formation and injected water movement through the Mishrif reservoir. In this research, a representative sector was used to make the review of water injection configuration, which is considered an efficient tool to make study in a particular area of the entire field when compared with the ful
... Show MoreThe study aims to investigate the effect of Al2O3 and Al additions to Nickel-base superalloys as a coating layer on oxidation resistance, and structural behavior of nickel superalloys such as IN 738 LC. Nickel-base superalloys are popular as base materials for hot components in industrial gas turbines such as blades due to their superior mechanical performance and high-temperature oxidation resistance, but the combustion gases' existence generates hot oxidation at high temperatures for long durations of time, resulting in corrosion of turbine blades which lead to massive economic losses. Turbine blades used in Iraqi electrical gas power stations require costly maintenance using traditional processes regularly. These blades are made
... Show MoreThe current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
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