Wastewater discharge containing organic dyes may pose a hazard to the environment, which necessitates that dye removal must occur prior to wastewater release into water bodies. Herein, copper oxide nanoparticles (CuO NPs) were prepared by a green precipitation method to enable decolorization of a cationic dye (methyl violet; MV) from aqueous media. Complementary tools were employed to characterize the CuO NPs adsorbent: spectroscopy (FTIR and UV-VIS), microscopy (FESEM and TEM), XRD, BET surface area analysis, and point of zero charge (pHPZC) via potentiometry. The FTIR bands at 722, 663, 569, and 465 cm−1 correspond to the vibrational modes of CuO NPs, along with the optical absorbance band at 275 nm that supports the formation of CuO NPs. The XRD and TEM analyses predicted single-phase CuO NPs with a monoclinic framework. BET was employed to assess the textural characteristics and accounted for the specific surface area (12.97 m2·g−1). Batch adsorption studies were carried out to assess the role of initial pH (3.58–10.53), CuO NPs dose (0.02–0.25 g/L), initial MV concentration (20–140 mg/L), contact time (5–90 min), and temperature (298, 308, and 318 K) on the dye removal efficiency. The adsorption capacity of CuO NPs for MV was determined to be 5.06 mg/g at 45°C. The pseudo-second-order (PSO) model described kinetic isotherms, and equilibrium adsorption data were adequately fitted by the Freundlich model. Thermodynamic results revealed that adsorption was spontaneous, endothermic, and entropy driven at the solid–liquid interface. The CuO NPs further displayed good reusability with high efficiency for six successive cycles of adsorption–desorption using 0.1 M HCl as a desorbing agent. These findings validate the efficacy of CuO NPs as a green and effective adsorbent for wastewater treatment processes for cationic dye removal.
Background: Dental implants act as infrastructure for fixed restoration to look like as a natural tooth. Osseointegration is a biological events and considered as a base for success of dental implant. The aim of this study is to evaluate the bond strength between bone and Ti implant coated with mixture of nano hydroxyapatite-chitosan-collagen compared with Ti implants coated with nano hydroxyapatite implanted in rabbit tibia, after different period of implantation time (two and six weeks) by torque removal test. Material and methods: 36 screws of commercially pure titanium; 8mm in length and 3mm diameter , 18 screws coated with mixture of nano hydroxyapatite-chitosan-collagen and18 screws coated with nano hydroxyapatite by dip coating. St
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Diabetes mellitus is a chronic illness that commonly leads to progressive and incapacitating of patients’ condition over the past 20 years.
The aim of the study was to evaluate the effects of the coughing technique, ShotBlockerTo evaluate the effects of the coughing technique, ShotBlocker and vibration device on pain intensity and patient satisfaction during subcutaneous (SC) insulin injections in hospitalised adults with Type 2 diabetes mellitus (T2DM).
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Mature oil reservoirs surrounded with strong edge and bottom water drive aquifers experience pressure depletion and water coning/cresting. This laboratory research investigated the effects of bottom water drive and gas breakthrough on immiscible CO2-Assisted Gravity Drainage (CO2-AGD), focusing on substantial bottom water drive. The CO2-AGD method vertically separates the injected CO2 to formulate a gas cap and Oil. Visual experimental evaluation of CO2-AGD process performance was performed using a Hele-Shaw model. Water-wet sand was used for the experiments. The gas used for injection was pure CO2, and the “oleic” phase was n-decane with a negative spreading coefficient. The aqueous phase was deionized water. To evaluate the feasibilit
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This study sought to investigate the impacts of big data, artificial intelligence (AI), and business intelligence (BI) on Firms' e-learning and business performance at Jordanian telecommunications industry. After the samples were checked, a total of 269 were collected. All of the information gathered throughout the investigation was analyzed using the PLS software. The results show a network of interconnections can improve both e-learning and corporate effectiveness. This research concluded that the integration of big data, AI, and BI has a positive impact on e-learning infrastructure development and organizational efficiency. The findings indicate that big data has a positive and direct impact on business performance, including Big
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Bacteriocin is an important antimicrobial peptide that can be used in industrial and medical fields due to its characteristics of antibacterial, food preservation and anticancer activities. Fifty isolates of Bacillus sp were collected from different soil samples which were already recognized via morphological and biochemical identification process. The isolates were screened for bacteriocin production effective against Staphylococcus spp in order to select the highest producing isolate. The isolate NK16 showed the maximum bacteriocin production (80 AU/ml) which was further characterized as Bacillus subtilis NK 16 through using API identification system (API 20E and API 50CHB). Then, next step was to detect the optimal conditions for maximum
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Urinary tract infections are mainly caused by uropathogenic Escherichia coli, which represent a significant global issue along with the rising of antibiotic resistance and treatment challenges. The aim of this study was to evaluate ciprofloxacin efficacy as a treatment in animal models following infection with multidrug-resistant UPEC and multidrug-susceptible UPEC and to determine the nephrotoxic effect of these antibiotics on the renal cortex. Up to 76 E. coli isolates were collected from UTI patients in Baghdad province, characterized by morphological and biochemical features, and confirmed using the Vitek-2 compact system. Mice were orally infected via gastric gavage with G33 using a bacterial load of 107 cells/ml, followed by p
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Psoriasis, a chronic inflammatory dermatological condition, exhibits heterogeneous responses to anti-TNF therapies such as etanercept (ETN), underscoring the need for predictive biomarkers. This study investigated the association of interleukin-1 beta (IL-1β) gene promoter polymorphisms (rs1143623 C/G, rs752338864 C/G, and rs1143627 C/T) with ETN efficacy in 80 Iraqi patients with moderate to severe plaque psoriasis. Patients were categorized according to treatment response: responders achieved ≥ 75% reduction in the Psoriasis Area and Severity Index (PASI), whereas non-responders demonstrated ≤ 50% reduction. Post-treatment serum IL-1β levels were significantly higher in non-responders (50.35 ± 15.81 pg/mL) compared to respo
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