Author:
El Jery Atef,Alawamleh Heba Saed Kariem,Sami Mustafa Humam,Abbas Hussein Abdullah,Sammen Saad Sh.,Ahsan Amimul,Imteaz M. A.,Shanableh Abdallah,Shafiquzzaman Md.,Osman Haitham,Al-Ansari Nadhir
Abstract
AbstractThe treatment of methylene blue (MB) dye wastewater through the adsorption process has been a subject of extensive research. However, a comprehensive understanding of the thermodynamic aspects of dye solution adsorption is lacking. Previous studies have primarily focused on enhancing the adsorption capacity of methylene blue dye. This study aimed to develop an environmentally friendly and cost-effective method for treating methylene blue dye wastewater and to gain insights into the thermodynamics and kinetics of the adsorption process for optimization. An adsorbent with selective methylene blue dye adsorption capabilities was synthesized using rice straw as the precursor. Experimental studies were conducted to investigate the adsorption isotherms and models under various process conditions, aiming to bridge gaps in previous research and enhance the understanding of adsorption mechanisms. Several adsorption isotherm models, including Langmuir, Temkin, Freundlich, and Langmuir–Freundlich, were applied to theoretically describe the adsorption mechanism. Equilibrium thermodynamic results demonstrated that the calculated equilibrium adsorption capacity (qe) aligned well with the experimentally obtained data. These findings of the study provide valuable insights into the thermodynamics and kinetics of methylene blue dye adsorption, with potential applications beyond this specific dye type. The utilization of rice straw as an adsorbent material presents a novel and cost-effective approach for MB dye removal from wastewater.
Funder
Deanship of Scientific Research, King Khalid University
Lulea University of Technology
Publisher
Springer Science and Business Media LLC
Reference60 articles.
1. Reuben, B. Z., Jibasen, D., Dike, I. J. & Abdulkadir, S. S. A model for estimating the population size of disproportionate two sample capture recapture methods. J. Comput. Cognit. Eng. (2022).
2. Briggs, D. Environmental pollution and the global burden of disease. Br. Med. Bull. 68, 1–24 (2003).
3. Lin, K. & Zhao, H. The impact of green finance on the ecologicalization of urban industrial structure—Based on GMM of dynamic panel system. J. Artif. Intell. Technol. 2, 123–129 (2022).
4. Mehra, S., Singh, M. & Chadha, P. Adverse impact of textile dyes on the aquatic environment as well as on human beings. Toxicol. Int. 28, 165 (2021).
5. Zhang, Z., De Luca, G., Archambault, B., Chavez, J. & Rice, B. Traffic dataset and dynamic routing algorithm in traffic simulation. J. Artif. Intell. Technol. 2, 111–122 (2022).
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