NANOMEMBRANES EVALUATION THROUGH OLIVES BRINE ULTRAFILTRATION PERMATE MODEL SOLUTIONS

Abstract

The aim of this study was to evaluate nanofiltration using permeate of ultrafiltration treatment of residual brine from making table olives process model solutions. For the experiments realization a factorial design of two levels was considered (23 ). The following independent variables were selected: operating pressure, tangential velocity and membrane type. The response variable was permeate flux density. In addition, the Half-Daniel graphic method was used to determine the significant effects. The permeability coefficients of NF 270, NF 245, NF 90 membranes are 9.93, 3.47 and 3.45 L/hm2 bar, respectively. The NF 270 membrane has the highest permeability, while the NF 245 and NF 90 have similar values. The standardized effects of the studied factors estimation on the flow density showed that the variables: type of membrane, pressure and its interaction have the greatest influence on the permeate flow density under considered conditions. The liquid tangential velocity and the remaining interactions also have significant effects, but to a lesser degree. The factorial model was significant (pvalue < 0.0001) for a correlation coefficient R2 equal to 0.98. This implies that 97.90% of total variation in the studied process was attributed to considered factors. The model is adequate to represent the experimental data with a confidence level of 95%.