The current study suggested a thermal treatment as a necessary proactive step in improving the adsorption capacity of bio-waste for contaminants removal in wastewater. This approach was based on the experimental and histological investigation of biowaste pods shell. This investigation showed that these shells compose of parenchyma cells that store secondary metabolites compounds produced from cells were exhibited in present study. The results also reported that these compounds are extracted directly from the cells as soon as they are exposed to an aqueous solution, hampering their use as an adsorbent material. The increase in the weight of bio-waste adsorbent at unit liquid volume increases the production of secondary metabolites compounds under normal conditions. While thermal conditions accelerate the exit of these compounds from their storage places. After suggested thermal processing, the bio-waste was examined for azo dye removal under different operational conditions (adsorbent weight (1,0.1 g), contact time (24 and 48 hr), and temperature (30, 40, 50,and 60°C). In general, the experimental data showed a good improvement in adsorption potential. The results presented clearly that the increase in temperature has a positive effect on the performance of pollutant removal. The maximum adsorption capacity was 0.035833 mol/g at a temperature of 40°C, and 0.036417 mol/g at a temperature of 50°C. This behaviour may be counterproductive with high temperatures as a result of the release of more secondary metabolites compounds. For other operating conditions, increasing the concentration of the pollutant also improves the efficiency of the process, while this efficiency decreases with the increasing weight of the adsorbent material. For example, the removal capacity was (0.000275, 0.00675 mol/g) with 1 and 0.1 g of the adsorbent weight, respectively. Finally, the present study concluded that the adoption of thermal pre-treatment technology for bio-mass waste is a necessary step in improving the adsorption processes.
S Khalifa E, N Adil A, AS Mazin M…, 2008
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The present research was conducted to reduce the sulfur content of Iraqi heavy naphtha by adsorption using different metals oxides over Y-Zeolite. The Y-Zeolite was synthesized by a sol-gel technique. The average size of zeolite was 92.39 nm, surface area 558 m2/g, and pore volume 0.231 cm3/g. The metals of nickel, zinc, and copper were dispersed by an impregnation method to prepare Ni/HY, Zn/HY, Cu/HY, and Ni + Zn /HY catalysts for desulfurization. The adsorptive desulfurization was carried out in a batch mode at different operating conditions such as mixing time (10,15,30,60, and 600 min) and catalyst dosage (0.2,0.4,0.6,0.8,1, and 1.2 g). The most of the sulfur compounds were removed at 10 min for all catalyst types. The maximum
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Automated detection of Dubas palm infestation by image processing techniques has practical significance as it can improve agricultural efficiency, increase crop yield and quality, protect the environment, and provide data-driven insights. It also reduces the human effort required for pest control and enhances sustainability. In this study, we aimed to automate the detection of Dubas bug infestation in palm trees using deep learning with transfer learning residual neural networks. Based on four models: InceptionResNetV2, ResNet18, ResNet50, and ResNet101, the data used in this study were obtained by drone photography, many images were taken, and then the infected area was extracted. Using two types of data, 185 infected images and 185 health
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Axial spondyloarthritis (axSpA) is a chronic rheumatic inflammatory disease affecting mainly the spine and sacroiliac joints. Since the copper-to-zinc ratio (Cu/Zn) indicates an inflammatory response, the change in ratio is expected to correlate with axSpA. This study compared levels of Cu/Zn in the serum of axSpA patients. Serum samples were obtained from 53 patients with axSpA divided according to biological treatment into cohorts A and B, and 28 healthy control as cohort C. Serum levels of Cu and Zn were determined first by a fully automated chemistry analyzer TC-Matrix Plus, then the ratio was obtained. The elevated serum Cu concentration means of cohort B (189.32 ± 13.808 µg/dL) compared to cohort A (168.85 ± 7.244 µg/dL) a
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