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Isolation and identification of Bacillus stearothermophilus and study the inhibition effect of squeezed grape waste extract on it.: Isolation and identification of Bacillus stearothermophilus and study the inhibition effect of squeezed grape waste extract on it.
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The aim of this study was to know the inhibition activity of squeezed grape waste extract on Bacillus stearpthermophilus by using three different tempretures degree 40, 60 and 80c, in order to reduce the time exposure of food for preservation. This study include two branchs: First: isolation and identification of Bacillus stearothermophilus from soil, 5 sample were collected from the soil of the college agriculture/Baghdad university. Samples were cultured on nutrient agar, microscopic and culturing tests were conducted and many biochemical tests were done. The isolates were cultivated at 55 c and 65 c for differentiate it from Bacillus coagulans which is can't grow at 65 co. The choosed isolate was identified as B. stearothermophilus which is bacilli, spore forming, g+ve ,motile and with 0.71-3 µm diameter. Second studying the inhibition activity of squeezed grape waste extract against isolated bacteria (in vitro) by using different temp mentioned above at differenttimes(0, 10, 30, 40 and 50) min with 500 ppm conc. Of the extract. The number of cells at 40 c for control were 4 x 102 cfu after 50 min, the number was decreased to 2.88 x 102 cfu with the extract. This decreasion was increased as the time progress for three temp. The best decreasing was 4 x 10 cfu at 60 c with extract and 3 x 102 cfu for control after 50 min. At 80 co it was higher a little bit at 60 c, it was 5 x 101 cfu with grape waste extract and 2.1 x 102 cfu for control.

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Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
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        In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through  Monte Carlo simulation technique were made depend on mean squared error (MSE)  criteria

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