期刊
POLYMERS
卷 14, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/polym14112191
关键词
biosorption; heavy metals; modified biomass; metal removal; Rumex acetosella
资金
- Vicepresidencia de Investigacion de la Universidad Nacional Jose Maria Arguedas, Andahuaylas, Apurimac, Peru
This study evaluated different biosorbents from Rumex acetosella weed for the removal of metal cations in wastewater. The mixed treatment with particle size of 250 μm showed the best performance, removing up to 96.14% of lead. Thermal analysis and structural characteristics indicated that the new biosorbents had higher chelating capacity. The Langmuir and pseudo-second order models provided better fit to the adsorption data. These new biosorbents could be used economically and efficiently in wastewater treatment.
The contamination of water resources by effluents from various industries often contains heavy metals, which cause irreversible damage to the environment and health. The objective was to evaluate different biosorbents from the weed Rumex acetosella to remove metal cations in wastewater. Drying, grinding and sieving of the stems was carried out to obtain the biomass, retaining the fractions of 250 to 500 mu m and 500 to 750 mu m, which served to obtain the biosorbents in natura (unmodified), acidic, alkaline, and mixed. Proximal analysis, PZC, TOC, removal capacity, influence of pH, functional groups, thermal analysis, structural characteristics, adsorption isotherms, and kinetic study were evaluated. The 250 mu m mixed treatment was the one that presented the highest removal percentages, mainly due to the OH, NH, -C-H, COOH, and C-O functional groups achieving the removal of up to 96.14% of lead, 36.30% of zinc, 34.10% of cadmium and 32.50% of arsenic. For contact times of 120 min and an optimum pH of 5.0, a loss of cellulose mass of 59% at 328 degrees C and a change in the surface of the material were also observed, which allowed for obtaining a topography with greater chelating capacity, and the Langmuir and pseudo-second order models were better fitted to the adsorption data. The new biosorbents could be used in wastewater treatment economically and efficiently.
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