期刊
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
卷 4, 期 2, 页码 2008-2022出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jece.2016.03.033
关键词
Polyelectrolyte assisted ultrafiltration; Complexation; Methylene blue retention; Response surface optimization; Permeation flux
资金
- MHRD, Government of India under World Bank
The present study employed polyelectrolyte assisted ultrafiltration (PAUF) to bring about cationic phenothiazine dye remediation. The effects of the primary process factors on the PAUF-induced retention of methylene blue (MB) from its aqueous solutions were explored using a suitable central composite design. The efficiency of the PAUF technique was gauged by two principal responses, namely, dye rejection efficiency and permeation flux. The recorded dye rejection and permeation rate, especially under response surface methodology (RSM) prescribed optimal process conditions, were over 99% and 71 L/m(2) h respectively. Besides, the observed response values were well within the 95% confidence interval of the predicted response levels, and were within the confines of the 95% prediction intervals. Suitable response surface (RS) plots graphically mandifeste the effects of the process factors on the responses. Moreover, the degree of MB ion complexation with the PSS polyelectrolyte was investigated using the Langmuir-type binding isotherm. Herein the values of the binding parameters, namely, K-eq and n, were as high 1.48 x 10(5) M (1) and 187.94 respectively, under the statistically determined optimal process factor settings, identified, in particular, by a solution pH of 9. The results reflected appreciable interaction between the cationic dye molecules and the polyanion. Besides, the permeation rate under optimal process conditions was over 69 L/m(2) h, even after two hours of operation. The overall observations indicated that following the judicious selection of the accompanying polymeric binding agents and the process parameter levels, toxic residual dyes can be appreciably separated from the process stream using PAUF technology. (C) 2016 Elsevier Ltd. All rights reserved.
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