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bsj-2992
Uptake of Three Pharmaceuticals by Beans (Phaseolus vulgaris L.) from Contaminated Soils: امتصاص ثلاثة انواع من الادوية بواسطة نبات الفاصولياء في التربة الملوثة
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The ability of beans (Phaseolus vulgaris L.) to uptake three pharmaceuticals (diclofenac, mefenamic acid and metronidazole) from two types of soil (clay and sandy soil) was investigated in this study to explore the human exposure to these pharmaceuticals via the consumption of beans. A pot experiment was conducted with beans plants which were grown in two types of soil for six weeks under controlled conditions. During the experiment period, the soil pore water was collected weekly and the concentrations of the test compounds in soil pore water as well as in plant organs (roots, stems and leaves) were weekly determined.
The results showed that the studied pharmaceuticals were detected in all plant tissues; their concentrations in plant roots were higher than plant stems and leaves. The extent level and accumulation of the studied pharmaceuticals in sandy soil was higher than the clay soil. The concentration of diclofenac in plant tissues was higher than both of mefenamic acid and metronidazole, indicating that diclofenac is more available to plant. The content of dissolved pharmaceuticals in soil pore water decreased gradually over time during the experimental period confirming the ability of beans to uptake these pharmaceuticals from soil.
The results suggest the possibility of studying pharmaceuticals to be accumulated in beans tissues despite their low concentrations in the studied soils.

Our results showed that the studied pharmaceuticals were detected in all plant tissues; their concentrations in plant roots were higher than plant stems and leaves. The extent level and accumulation of the studied pharmaceuticals in sand soil was higher than the clay soil. The concentration of diclofenac in plant tissues was higher than mefenamic acid and metronidazole, indicates that diclofenac is more available to plant. The content of dissolved pharmaceuticals in soil pore water decreased gradually over time during the experimental period which confirming the susceptibility of beans to uptake these pharmaceuticals from soil.
Our results suggest the possibility of studied pharmaceuticals to be accumulated in beans tissues despite their low concentrations in the studied soils.

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Publication Date
Thu Dec 01 2011
Journal Name
Iraqi Journal Of Physics
Surface Modification of Ti-6Al-4V Alloy by Glow Discharge-Plasma Nitriding
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Titanium alloy (Ti-6Al-4V) samples were nitrided in low pressure (1.3, 3 mbar) dc-glow discharge plasmas of nitrogen. The treating time was 5, 10 and 15 hour and the temperatures range of the samples during the nitriding process was close to 800oC. The obtained microstructures of the nitride layers were studied by x-ray diffraction and optical microscopy. The ε –Ti2N, ζ-Ti3N3-x and η-Ti3N2-x.phases were formed and addition to the solid solution of nitrogen in titanium, α (Ti,N). Micro hardness measurements exhibit an increment for the Ti-alloy specimens which nitrided at 800oC for 10 and 15h.Corrosion measurements were obtained for the Ti-6Al-4V alloy in Ringer solution after plasma nitriding. The clear improving in the corrosion r

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Publication Date
Thu Mar 01 2018
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International Journal Of Mechanical Engineering And Technology (ijmet)
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Publication Date
Tue Jun 01 2021
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Iraqi Journal Of Physics
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Publication Date
Wed Mar 16 2022
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2022 Muthanna International Conference On Engineering Science And Technology (micest)
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Mon Oct 01 2012
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Optical properties of TiO2 thin films prepared by reactive d.c. magnetron sputtering
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Publication Date
Thu Feb 28 2019
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Improvement of Earth Canals Constructed on Gypseous Soil by Soil Cement Mixture
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Whenever, the Internet of Things (IoT) applications and devices increased, the capability of the its access frequently stressed. That can lead a significant bottleneck problem for network performance in different layers of an end point to end point (P2P) communication route. So, an appropriate characteristic (i.e., classification) of the time changing traffic prediction has been used to solve this issue. Nevertheless, stills remain at great an open defy. Due to of the most of the presenting solutions depend on machine learning (ML) methods, that though give high calculation cost, where they are not taking into account the fine-accurately flow classification of the IoT devices is needed. Therefore, this paper presents a new model bas

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Publication Date
Thu Sep 01 2022
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