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Synthesis and Characterization of Proteolytic Enzyme Loaded on Silver Nanoparticles
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Bromelain is a proteolytic enzyme rich in cysteine proteases, extracted from the stem and fruit of pineapple (Ananas comosus). There are several therapeutic applications of the bromelain enzyme, where it has anti-inflammatory, anti-cancer, and antimicrobial activity, reduces joint pain, and accelerates wound healing. In the current study, bromelain enzyme was loaded on silver nanoparticles (Br-AgNPs) prepared using the citrate-reduction Turkevich method. Different characterization analyses were performed, including UV-Vis spectrophotometers, FTIR, SEM, and XRD analyses. Moreover, the antioxidant activity of prepared Br-AgNPs was evaluated by DPPH assay. The results of UV-Vis showed a peak at 434 nm, which referred to the AgNPs formation, and FTIR results revealed groups of (C=O, C=C) at 1519.91 and 1539.20, respectively, and the amine group at 1384.89 and the flavonoids group at 1357.89. SEM results exhibit that the synthesized Br-AgNPs were spherical in shape, with average sizes of about 84.73 nm. Also, the AgNPs were crystalline in nature with face-centered cubic symmetry. The synthesized BR-AgNPs showed strong in vitro antioxidant activity in a dose-dependent manner. In conclusion, successfully synthesized silver nanoparticles and bromelain had a potent antioxidant effect and may be a possible therapeutic agent for many diseases in the future.

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Publication Date
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة
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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be  used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto  type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

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