This study was done to test the activity of some plant extracts as antioxidant agents. The plants were (Morus rubra, Hibiscus sabdariffa L ., Rhus coriaria L., Anethum graveolens and Petroselinum sativum).
Ethanolic 98% (24 hours/ 25˚c) and distilled water (30 minutes/ 25˚c have been used for extraction.The Total phenols, total flavonoids, total anthocyanin, antioxidant activities were studied.
The extract of Morus rubra was chosen because it has a higher antioxidant activity.
The phenolic extract of Morus rubra was prepare and examined by application it in burger . The antioxidant activity test of Morus rubra was made before and after 3,6 days of cold storage. The sensory evaluation of all treatments were done within 5,10 days.
The results showed:
There was significant different between ethanolic extract and water extract in total phenols and flavonoids compound, the ethanolic extract of Morus rubra shown superior phenolic compound contain (23.3 mg GAE/ gr.), water extract of Morus rubra L., Showed height phenolic compound (20 mg GAE/ gr.).
Ethanolic and water extracts of Morus rubra have a higher Flavonoids (81.1, 69.8 μg /g Rutin Equv.). The Morus rubra shown superior Anthocyanin compound 56.3 μ g Cyanidin 3- glucoside/ gr. The antioxidant activity different according to type of plant and concentration, the ethanolic extract of Morus rubra gave higher antioxidant activity(88.9%) compared with other extract and α- tocopherol (86.5%) and lower from BHT (97 %).
The extract was added to burger at (0.04, 0.08, 0.12gr./ 100 gr.) which were stored at 4C for 5,10 days the peroxide value decreased as the extract concentration was increased.
This study aims to conduct an exhaustive comparison between the performance of human translators and artificial intelligence-powered machine translation systems, specifically examining the top three systems: Spider-AI, Metacate, and DeepL. A variety of texts from distinct categories were evaluated to gain a profound understanding of the qualitative differences, as well as the strengths and weaknesses, between human and machine translations. The results demonstrated that human translation significantly outperforms machine translation, with larger gaps in literary texts and texts characterized by high linguistic complexity. However, the performance of machine translation systems, particularly DeepL, has improved and in some contexts
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This study examined the correlation between binder-level fatigue properties and mixture-level cracking resistance in asphalt binders modified with five Nanomaterials (NMs): Nano-Silica (NS), Nano-Alumina (NA), and Nano-Titanium dioxide (NT) at 2%, 4%, and 6% as well as Nano-Zinc oxide (NZ) and Carbon Nanotubes (CNTs) at 1%, 2%, and 3%. Modified binders were subjected to Rolling Thin-Film Oven Test (RTFOT) and Pressure Aging Vessel (PAV) aging and tested at 25 °C using the Linear Amplitude Sweep (LAS) test to determine fatigue life (Nf) and the fatigue parameter G*.sin δ. The corresponding asphalt mixtures were evaluated using the IDEAL-CT test. The results indicated strong correlations between binder and mixture performance for
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