In this study, the synthesis of magnetic nanoparticles (MNPs) employing leaf extract from Alocasiamacrorrhiza was investigated as a reducing agent. CuFe2O4, CuFe2O4/CuO, and CuFe2O4/CuO/CdS made constituted the coreshell of these MNPs, which were stabilized on naturally Ninevite rocks (NRs) to provide a more cost-effective support. Analytical techniques of various methods were used to characterize the MNPs/NR nanocomposite that was produced utilizing eco-friendly methods. Among the methods used were infrared spectroscopy, X-ray diffraction, scanning electron microscopy, and vibrating sample magnetometry (VSM). The antibiotic Metronidazole (MET) was broken down using a potent nanocatalyst made of MNPs in a solar-irradiated batch system. A solar-photocatalytic system was used to investigate the effects of the initial MET concentration, irradiation time, H2O2 concentration, catalyst nanocomposite concentration, and pH solution on MET photodegradation. Artificial neural networks (ANNs) were also used in data modeling to determine which oxidation technique performed the best in certain conditions. This investigation showed that the CuFe2O4/CuO/CdS magnetic catalyst had the greatest MET removal efficiency of 97% among all MNPs. Moreover, ANN were used to examine data from the photocatalytic oxidation of MET utilizing a CuFe2O4/CuO/CdS/NRs catalyst. The results revealed that the MNP dose had the highest influence on the photodegradation of MET. The correlation coefficients (R2) for the training regressions, validation, testing, and total data were all 0.999, 0.996, 0.993, and 0.998, respectively.
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The research conducted here will hopefully lead to the creation of a practical, inexpensive method for purging aqueous solutions of contaminating phenolic chemicals. A biosorbent system comprised of eggshells and iron was studied for its potential to effectively detoxify phenol. Both the eggshell and the iron systems were used in the preparation of the adsorbents in order to achieve the desired result of having the properties of both systems. Scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD) were used for characterisation. Batch tests were conducted to evaluate the adsorption capacity of eggshells and iron under the influence of different operating parameters (shaking speed, pH, initial phenol content, and contact time). In the design-expert modelling, the optimisation conditions were found to be a pollutant concentration = 30.0 mg . L–1, pH of 3.00, adsorbent dose = 0.11 mg . L–1, shaking speed = 150 rpm, and time = 120 min for an phenol reduction rate of 94.4 % which it was extremely near to the experimentally value (96.6 %). The CCD modelling that was performed in the RSM verified the findings that were predicted. On the basis of laboratory results, the prediction proved accurate.
A comparative study was conducted for differentiating between attached and suspended growth, represented by a lab-scale biotrickling filter and bio-scrubber under anoxic conditions, respectively. However, malodorous ethanethiol gas (ET) that was categorized as one of the volatile organic sulfur compounds (VOSCs) was studied using a variety of settings and parameters. In contrast, NO3− can be used as an electron acceptor in the bioconversion of ET gas to elemental sulfur and/or sulfate when no oxygen is available. Empty bed residence times (EBRTs), gas to liquid ratios (G/Ls) (40, 60, 80, 100, 150), and inlet concentrations (150, 300, 800, and 1500 mg/m3) were all investigated in relation to ET removal efficiency (RE) (30, 60, 90, and 120 s). While the G/L ratio of 80 resulted in efficient ET removal (more than 90.8% for 150 mg/m3 of inlet concentration), it could only achieve the extraction of 80.6% for 1500 mg/m3 of inlet concentration at a fixed EBRT of 60 s. These results were based on the performance of a lab-scale anoxic biotrickling filter. Even though mass transfer constraints and poor solubility of ET were factors, the performance of the biotrickling filter under anoxic settings was superior to that of the bioscrubber and improved the low oxidation rates of ET.
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