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Optimization Of Process Variables And Mechanism Of Arsenic (V) Adsorption Onto Cellulose Nanocomposite

Dhiman Santra, M. Sarkar
Published 2016 · Materials Science

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Abstract Optimization of process variables for arsenic (V) adsorption onto some novel adsorbent, the cerium loaded cellulose nanocomposite bead, was made using response surface methodology, a popular statistical design for chemical experiments. The adsorbent was characterized for its physicochemical, spectral, surface and thermal nature. The influence and significance of experimental variables viz. pH, initial arsenic (V) concentration, adsorbent dose, contact time and temperature on the adsorption capacity (response) was estimated from fractional factorial design (25–1). The interactive and combined effects of significant variables were evaluated from central composite design and subsequent analysis of variance (ANOVA). The guiding parameters such as F- (58.45) and P-value (
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