Optimizing the Cross-Flow Nanofiltration Process for Chromium (VI) Removal from Simulated Wastewater Through Response Surface Methodology

Experimental and statist a. yns on the remotal chromiltm (17) from,simulated islewater over the ti once of different parameters viz. pfl, cross flow rate, and transmembtane pressure were carried out in cross-flow.nanofiltration through central composite response surftice design. A satisjdctoty prediction second order regression model n)as developed and analysis of variance (ANOVA) showed a high coffi ectent of determination with R2 Vailte Of 0.9820. The maximum chromium WO I-ejection of 0.989,3 and permeate flux of;8 Lib were achieved at optimum parametric conditions of pH 11, cross flow tate 700 Lb and transmembrane pressure 10 bar The results indicate that the chromium (1,'1) rejection strongly depends not only on linear and square effects of p1.1, cross flow tate and transmembrane pressure but also on interaction effects of pfl and transmembrane pressure as well as cross flow rate and trans membrane pressure. The study reveals that the nangfiltration process at the optimal conditions could lead to a significant result in removal of chromium (1,70 from wastewater. (C) 2015 American institute of Chemical Engineers Environ Prog, 34: 1332-1340, 2015