Antibacterial and Dye Removal Potential of Modified Kaolinite for the Treatment of Drinking Water

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Antibacterial and Dye Removal Potential of Modified Kaolinite for the Treatment of Drinking Water

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Dyes are widely used in industries like printing, cosmetics, paper, leather processing, textiles, and manufacturing to add color to products. However, improper disposal of dyes into wastewater has raised major concerns due to their harmful effects on plants, animals, and humans. Using engineered carbon systems (ECSs) to treat dye-contaminated wastewater has shown promise for sustainable waste management. Dye adsorption on ECSs is a complex, non-linear process, making it essential to understand ECSs' dye removal capabilities through a modeling framework that includes experimental and environmental factors. To support this, a database of ECSs used in dye removal from textile wastewater was compiled. Twelve machine learning models, including XGBoost, Light Gradient Boost, Random Forest, Gradient Boost, CatBoost, AdaBoost, Decision Tree, Artificial Neural Network, K-Nearest Neighbor, Support Vector Machine, Huber, and Ridge Regressor, were applied to analyze ECSs' dye removal potential. Out of all the models, XGBoost exhibited the highest coefficient of determination (R2) of 0.986 during the training and 0.978 during testing, alongside the lowest prediction error (MSE) of 0.01 and 0.136 in the training phase and testing phase. The quantity of ECS, concentration of dye (Co), and pH of wastewater highly influenced the adsorption process. The optimization results indicated the highest affinity of direct, reactive, and dispersed dyes towards ECSs in the acidic solution. In contrast, the maximum adsorption of Basic and VAT dye on ECSs was found in the alkaline solution. The partial dependence analysis provided valuable insights into the interaction between ECS dose and water matrix parameters that can lead to efficient extraction of dyes from aqueous matrices.

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With the rapid growth of the textile, leather, cosmetics, and pharmaceutical industries, concerns about pollutants in these sectors, especially dye pollutants, are increasing. This research characterizes bacterial nanocellulose acetate membranes made from Sargassum extract reinforced with copper oxide nanoparticles and tests their antibacterial properties and dye removal in water. Sargassum sp. extract was fermented using Acetobacter xylinum for 10 days, producing bacterial nanocellulose, which was then esterified to create bacterial nanocellulose acetate. Copper oxide nanoparticles were added to the bacterial nanocellulose acetate solution in varying concentrations, cast, and oven-dried. The membrane was analyzed using Fourier-transform infrared spectroscopy, X-ray diffraction, scanning electron microscope, antibacterial activity, and dye removal. Results showed uniform copper oxide nanoparticles distribution on the membrane surface. Structure analysis revealed diffraction peaks at 35.44° and 38.57°, indicating a reduced crystalline index but improved membrane effectiveness. Antibacterial tests showed a zone of inhibition against bacterial growth, increasing with higher copper oxide nanoparticle content. The addition of copper oxide nanoparticles also influenced the dye removal capacity for Metanil Yellow, Congo Red, Eosin Yellow, Methylene Blue, and Malachite Green. The kinetic analysis showed that the adsorption process follows a pseudo-first-order model, with higher correlation coefficients (R2) compared to the pseudo-second-order model.

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ABSTRACTThe current work prepared an organic–inorganic polymer hybrid nanocomposite of ionically crosslinked chitosan‐oxalate/tin oxide nanoparticles (Chi‐OXA/SnO2) for eosin Y (EoY) dye removal from water systems. The adsorption of EoY dye was examined in relation to three factors: A: Chi‐OXA/SnO2 dose (0.02–0.08 g), B: pH (4–10), and C: time (10–30 min) using response surface methodology (RSM). The BET surface area of Chi‐OXA/SnO2 was determined to be 35.10 m2/g, while its total pore volume and mean pore diameter were computed to be 0.0257 cm3/g and 2.94 nm, respectively. The mean crystallite size of 29.86 nm in the Chi‐OXA/SnO2 nanocomposite indicates that it mostly displays polycrystalline characteristics. The pseudo‐first‐order kinetic and the Freundlich models accurately described EoY adsorption by Chi‐OXA/SnO2. The optimal conditions for maximum EoY removal (97.78%) were determined to be a pH of 4, a Chi‐OXA/SnO2 dose of 0.056 g, and a contact time of 16.9 min. The maximum adsorption capacity of the Chi‐OXA/SnO2 nanocomposite for EoY dye was 539.4 mg/g at 25°C. The adsorption mechanism involved n‐π stacking interactions, Yoshida hydrogen bonding, conventional hydrogen bonding, and electrostatic interactions. These findings demonstrate that the chitosan‐based nanocomposite holds significant potential for the effective removal of dyes from wastewater.

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Ultrasound-assisted treatment of chitin: evaluation of physicochemical characteristics and dye removal potential
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Chitin was ultrasonically treated to improve its dye adsorption characteristics. The effects of ultrasound cycle and amplitude on the chitin Sauter diameter (DSauter), deacetylation degree (DD), crystallinity index (CI) and specific surface area (SBET) were evaluated. The untreated and treated chitin samples were applied to remove Methylene Blue (MB) and Ponceau 4R (P4R) dyes from aqueous solutions. Chitin DSauter decreased from 625 to 250 μm after the ultrasonic treatment. Chitin DD was not influenced by the ultrasound treatment, remaining in the range of 42.3–45.8%. For all ultrasonic conditions, the chitin CI values decreased from 86.3% (untreated chitin) to 70.0%. The specific surface area (SBET) increased from 2.2 to 38.5 m2 g-1. After ultrasonic treatment, the dye removal percentage increased from 53.2 to 74.3% for MB and from 3.3 to 20.2% for P4R, at initial dye concentration of 50 mg l-1. Treated chitin can be used seven times maintaining the same performance. The ultrasound-assisted treatment is an alternative to improve the chitin dye adsorption characteristics.

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