<p>The industrial discharge of dyes into water bodies poses a threat to both public health and the environment; therefore, developing a wastewater treatment system based on multicomponent adsorption isotherms is crucial for effective water decontamination. This study addresses the issue of industrial dye removal by using a fixed-bed column packed with agricultural waste. At the same time, descriptive mathematical modeling is applied to understand the underlying phenomenon of adsorption. The study further incorporates Adams-Bohart, Yoon-Nelson, Thomas, Clark, Freundlich, and Wolborska kinetic models, along with breakthrough curve analysis, to assess the effects of bed height and flow rate on adsorption performance. The results indicate that increasing the flow rate resulted in faster column saturation and lower adsorption efficiency. Moreover, increased bed height increases breakthrough times (100–120&#xa0;h), and the highest adsorption volumes were observed at a flow rate of 12&#xa0;mL/min and a column height of 12&#xa0;cm. The Thomas model was determined to be the most suitable for varying conditions, although the Adams-Bohart and Yoon-Nelson models also demonstrated reasonable accuracy at lower flow rates. An innovative approach utilizing an electric pressure pump for large-scale removal of organic pollutants from wastewater reflects the method's scalability to industrial levels. This approach efficiently removes Methyl Green, sustaining high efficiency for up to 120&#xa0;h with a single column implementation at high pressure. Overall, these findings contribute to the pursuit of sustainable and affordable water purification technologies, reinforcing the role of agricultural waste as a natural tool for environmental remediation.</p>

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Mathematical modeling and simulation of agrowaste packed fixed-bed adsorption columns for methyl green decontamination

  • M. M. Awan,
  • M. A. Alvi,
  • F. Batool,
  • A. Abbas,
  • M. Adnan,
  • H. Y. Gondal,
  • Y. Gull,
  • U. Younas,
  • Z. Saeed

摘要

The industrial discharge of dyes into water bodies poses a threat to both public health and the environment; therefore, developing a wastewater treatment system based on multicomponent adsorption isotherms is crucial for effective water decontamination. This study addresses the issue of industrial dye removal by using a fixed-bed column packed with agricultural waste. At the same time, descriptive mathematical modeling is applied to understand the underlying phenomenon of adsorption. The study further incorporates Adams-Bohart, Yoon-Nelson, Thomas, Clark, Freundlich, and Wolborska kinetic models, along with breakthrough curve analysis, to assess the effects of bed height and flow rate on adsorption performance. The results indicate that increasing the flow rate resulted in faster column saturation and lower adsorption efficiency. Moreover, increased bed height increases breakthrough times (100–120 h), and the highest adsorption volumes were observed at a flow rate of 12 mL/min and a column height of 12 cm. The Thomas model was determined to be the most suitable for varying conditions, although the Adams-Bohart and Yoon-Nelson models also demonstrated reasonable accuracy at lower flow rates. An innovative approach utilizing an electric pressure pump for large-scale removal of organic pollutants from wastewater reflects the method's scalability to industrial levels. This approach efficiently removes Methyl Green, sustaining high efficiency for up to 120 h with a single column implementation at high pressure. Overall, these findings contribute to the pursuit of sustainable and affordable water purification technologies, reinforcing the role of agricultural waste as a natural tool for environmental remediation.