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- W4286208443 abstract "In the present study, the use of low-cost, highly efficient, eco-friendly, and abundantly available (in Kashmir region, J&K India) willow leaves from which adsorbents like willow leaves powder (WLP) and willow leaves biochar (WLB) were prepared, have been found to be efficient for malachite green (MG) dye removal and can be used as an alternative to the current expensive methods of removing the same dye from an aqueous solution. The techniques like Fourier transform infrared spectroscopy (FTIR), scanning electron microscope (SEM), and carbon, hydrogen, nitrogen, sulphur (CHNS) analyser were used to characterize the samples without any chemical treatment. SEM of the adsorbents shows the presence of different sized pores, cracks, and crevices. FTIR and CHNS show functional groups and elemental concentration, respectively. The effects of various experimental parameters such as contact time, adsorbent dosage, initial dye concentration, salt treatment, and pH were investigated and optimal experimental conditions were obtained. It has been found that Langmuir, Freundlich, and Temkin isotherms were useful for describing the equilibrium of adsorption system. The equilibrium adsorption data in this research work was found to follow both Langmuir and Freundlich isotherm models and maximum monolayer capacity of WLP and WLB were found to be 10.014 and 21.244 mg/g, respectively. The experimental data for both WLP and WLB followed pseudo-second-order kinetic model with R2= 0.999. Intraparticle diffusion model reveals that more than one mechanism influenced the adsorption process. Thermodynamic study concluded that the adsorption is spontaneous for both adsorbents but exothermic for WLP and is endothermic in nature for WLB. Present exploration and comparison with other reported adsorbents concluded that, WLP and WLB may be useful as low-cost attractive option for the removal of MG dye from aqueous solution and therefore, also from wastewater containing MG dye.This study reports for the first time the use of Salix alba L. (Willow tree) leaves and its biochar as the adsorbents for the removal of malachite green dye from its aqueous solution.Both the adsorbents namely willow leaves powder (WLP) and willow leaves biochar (WLB) are rapid and highly efficient for MG dye removal having percentage removal more than 92.5%.For WLB adsorbent the percentage removal crosses 98.5% by the addition of 0.2 g KCl and by increasing 40 °C temperatures.The adsorbents used in this research work are comparable with the highly efficient low-cost adsorbents used for MG dye like rice husk, water hyacinth, seaweed, etc. found in the literature.The adsorbents (WLP and WLB) were used without chemical treatment having good removal efficiency, cheap, easy available, and their mode of preparation is simple." @default.
- W4286208443 created "2022-07-21" @default.
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- W4286208443 date "2022-07-21" @default.
- W4286208443 modified "2023-10-16" @default.
- W4286208443 title "Characterization and adsorption of malachite green dye from aqueous solution onto <i>Salix alba</i> L. (Willow tree) leaves powder and its respective biochar" @default.
- W4286208443 cites W1965569444 @default.
- W4286208443 cites W1969303698 @default.
- W4286208443 cites W1969475273 @default.
- W4286208443 cites W1973771367 @default.
- W4286208443 cites W1974220999 @default.
- W4286208443 cites W1983225349 @default.
- W4286208443 cites W1985395746 @default.
- W4286208443 cites W1992438705 @default.
- W4286208443 cites W1993612803 @default.
- W4286208443 cites W1995444692 @default.
- W4286208443 cites W1998839926 @default.
- W4286208443 cites W1999540828 @default.
- W4286208443 cites W2011483662 @default.
- W4286208443 cites W2027825443 @default.
- W4286208443 cites W2035544747 @default.
- W4286208443 cites W2042185613 @default.
- W4286208443 cites W2057893699 @default.
- W4286208443 cites W2064774189 @default.
- W4286208443 cites W2069474828 @default.
- W4286208443 cites W2072887508 @default.
- W4286208443 cites W2076713891 @default.
- W4286208443 cites W2084444382 @default.
- W4286208443 cites W2090230096 @default.
- W4286208443 cites W2103947103 @default.
- W4286208443 cites W2109882735 @default.
- W4286208443 cites W2117936228 @default.
- W4286208443 cites W2154059436 @default.
- W4286208443 cites W2167299637 @default.
- W4286208443 cites W2170952922 @default.
- W4286208443 cites W2263765460 @default.
- W4286208443 cites W2300474821 @default.
- W4286208443 cites W2322175160 @default.
- W4286208443 cites W2330543631 @default.
- W4286208443 cites W2398256094 @default.
- W4286208443 cites W2460372928 @default.
- W4286208443 cites W2557048044 @default.
- W4286208443 cites W2593338282 @default.
- W4286208443 cites W2781931545 @default.
- W4286208443 cites W2783418741 @default.
- W4286208443 cites W2789871711 @default.
- W4286208443 cites W2800993681 @default.
- W4286208443 cites W2822600774 @default.
- W4286208443 cites W2891555481 @default.
- W4286208443 cites W2901604795 @default.
- W4286208443 cites W2901900532 @default.
- W4286208443 cites W2912174737 @default.
- W4286208443 cites W2944207114 @default.
- W4286208443 cites W2963227157 @default.
- W4286208443 cites W2965120854 @default.
- W4286208443 cites W2980523589 @default.
- W4286208443 cites W3008016887 @default.
- W4286208443 cites W3014577523 @default.
- W4286208443 cites W3017899612 @default.
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- W4286208443 cites W3156200359 @default.
- W4286208443 cites W3161851022 @default.
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- W4286208443 cites W3188582332 @default.
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- W4286208443 cites W4361230065 @default.
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- W4286208443 doi "https://doi.org/10.1080/15226514.2022.2098909" @default.
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