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bijps-1028
Isolation, Structural Characterization and Identification of Major Constituents in Ephedra foliata Naturally Growing in Iraq by TLC, GC-MS and UPLC-ESI-MS/MS
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Abstract:

   The aerial part of Ephedra foliata Family Ephedraceae have long been used in traditional medicine and now Ephedra species have medicinal, ecological, and commercial value. The variety of pharmacological actions of this plant is due to its chemical constituents. Ephedrine and
related alkaloids; are the newly potential medicinal value of Ephedra supplements for weight loss or performance improvement. Other pharmacological actions like antibacterial and antifungal effects of the phenolic acid compounds, the immunosuppressive action of the polysaccharides, and the antitumor action of flavonoids. The genus of this plant wildly distributed throughout asia, america, europe, and north africa.
 Aim of study:  this study is to screen the phytochemical constituents due to the importance of pharmacological actions of this plant.

Methods:  the aerial part of E. foliata was macerated in 80% ethanol for 9 days and fractionated by n-hexane, chloroform, ethyl acetate, and n-butanol. The n-hexane, chloroform, n-butanol fractions, and isolated compounds were analyzed by GC-MS, TLC, UPLC ESI MS/MS.

Results and discussion: The various chromatographic and spectroscopic results indicate  the presence of a different type of phytochemicals like ephedrine, 6hka, vicenin 2 and quercetin 3-sophoroside-7-rhamnoside.

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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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