The treatment of wastewater generated by industries is challenging due to various xenobiotic and dangerous pollutants, notably multi-category carcinogenic dyes. The existing conventional treatment methods employed in developed countries are costly, prompting the search for a suitable alternative to achieve sustainable and economically viable development. Researchers interested in sustainable development widely adopt the biosorbent adsorption method to effectively remove micropollutants from water. This involves using low-cost materials as an alternative to dangerous and expensive products.
This work focuses on the modeling of adsorption in batch mode, with the main objective being to study the adsorption of Methylene Blue (MB), a cationic dye, on Grape Pomace (GP), an oenological waste product. The influence of parameters such as dye concentration, biosorbent mass, adsorption time, and pH of the MB solution are studied for process optimization. The acquired results undergo a comprehensive analysis employing kinetic models, including the pseudo-first- and second-order models, and the intra-particle diffusion model. Furthermore, the results are subjected to optimization through the application of the Box–Behnken design.
The results of the kinetic analysis reveal that the pseudo-second-order kinetic model describes the adsorption of MB on GP more appropriately with a coefficient of determination R2 = 0.999 compared to the pseudo-first-order and intra-particle diffusion models. The application of the experimental design methodology (Box–Behnken model) allows us to estimate and optimize the adsorption capacity to 37.38 mg/g of MB removal at pH = 5, m = 75 mg, and C = 40 mg/L for the factors studied with a reduced number of experiments. The results of both approaches confirm the effectiveness of using oenological waste in wastewater treatment, enabling precise control of the parameters influencing adsorption.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/proceedings2024105112/s1.
Author Contributions
A.B.: Perform experiments, software, manuscript preparation and submitted it for publication. F.O.: Review and edited the final version of the manuscript. M.B.: Writing draft. K.B.: Formal analysis and validation. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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