NDLI: Optimization of ammonia removal by ion-exchange resin using response surface methodology

Content Provider	Springer Nature Link
Author	Ding, Y. Sartaj, M.
Copyright Year	2016
Abstract	The ability of ion-exchange resin for ammonia removal from aqueous solution was studied. The results showed that Amberlite ion-exchange resin was effective in removing ammonia from aqueous solution. Factorial design and response surface methodology were applied to evaluate and optimize the effects of pH, resin dose, contact time, temperature and initial ammonia concentration. Low pH condition was preferred with the optimum pH found to be 6. High resin dose generated high removal rate and low exchange capacity. Results of factorial design and response surface methodology showed that temperature was not a significant parameter. The model prediction was in good agreement with observed data (R $^{2}$ = 0.957). The optimum Q $_{ e }$ was 28.78 mg/g achieved at pH = 6 and initial TAN concentration of 3000 mg/L. The kinetics followed the pseudo-second-order kinetic model (R $^{2}$ = 0.999). Equilibrium data were fitted to Langmuir and Freundlich isotherm models with Langmuir model providing a slightly better predication (R $^{2}$ = 0.996). The resin was completely regenerated by 2 N H$_{2}$SO$_{4}$.
Starting Page	985
Ending Page	994
Page Count	10
File Format	PDF
ISSN	17351472
Journal	International Journal of Environmental Science & Technology
Volume Number	13
Issue Number	4
e-ISSN	17352630
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-01-25
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Ecotoxicology Ion-exchange Response surface methodology Water Management Ammonia Waste Water Technology Aquatic Pollution Isotherm Environment Water Pollution Control Factorial design Environmental Chemistry Environmental Science and Engineering Soil Science & Conservation
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Environmental Engineering Agricultural and Biological Sciences

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