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PVC microplastics as vectors for dye pollutants: Adsorption of rhodamine B and AI-based predictive modeling

Desalination and Water Treatment 2025 Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Vinícius Reis Cargnelutti, Rossean Golin, Amanda Alcaide Francisco Fukumoto, Ibraim Fantin‐Cruz, Frederico Carlos Martins de Menezes Filho, Paulo Renato Matos Lopes, Renata Silva, Leonardo Gomes de Vasconcelos, Danila Soares Caixeta, Eduardo Beraldo de Morais

Summary

Researchers studied the adsorption of Rhodamine B dye onto PVC microplastics under varying pH, concentration, and temperature conditions. PVC-MPs adsorbed substantial quantities of the dye through combined electrostatic and hydrophobic mechanisms, demonstrating their potential to transport organic contaminants through aquatic environments.

Polymers

Microplastics are persistent pollutants in aquatic ecosystems and can act as carriers of contaminants. Understanding how these particles adsorb and transport contaminants is crucial for assessing their ecological risks. In this study, the adsorption of Rhodamine B (RhB) onto polyvinyl chloride microplastics (PVC-MPs) was evaluated under varying pH, dye concentration, microplastic dosage, and contact time. PVC-MPs exhibited a specific surface area of 0.1713 m 2 g -1 and pore volume of 0.0010 cm 3 g -1 , consistent with a compact structure. Despite this, they achieved a maximum adsorption capacity of 2.09 mg g -1 , with higher uptake under acidic conditions. Kinetic analysis showed that the pseudo-first-order model provided the best fit ( R 2 > 0.980), while equilibrium data were best represented by the Temkin ( R 2 = 0.967) and Dubinin–Radushkevich ( R 2 = 0.968) models. The low mean adsorption energy (E = 0.0937 kJ mol -1 ) confirmed that physisorption dominated the process. FTIR spectra indicated weak interactions such as hydrophobic forces, hydrogen and halogen bonding, and van der Waals forces. Artificial intelligence models showed excellent predictive performance on the test set: ANN achieved R 2 = 0.999 and RMSE = 0.0142, while SVR reached R 2 = 0.992 and RMSE = 0.0354. Overall, these findings highlight the environmental relevance of PVC-MPs as vectors of synthetic dyes, emphasizing their potential risks to ecosystems and human health and the need for ecotoxicological evaluations.

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