Quantification and modelling of organic micropollutant removal by reverse osmosis (RO) drinking water treatment

Reverse osmosis (RO) is the most promising membrane technology in organic micropollutants (MPs) removal of drinking water treatment. For 78 MPs, passage and were evaluated with an ESPA3 RO robustness against MPs was studied. The classified according to their charge hydrophobicity. results showed that size neutral compounds negatively correlated passage. This correlation weaker for hydrophobic than hydrophilic MPs. lowest (0.2%–4%) displayed by anionic because electrostatic repulsion between charged solute surface. Cationic a higher (around 0.4%–40%) due sorption Donnan exclusion. relationship physical-chemical properties one-way analysis variance (ANOVA). We performed qualitative variables using Principal Component Analysis (PCA) order examine affect After Multiple Linear Regression (MLR), we concluded such as molecular width, equivalent pKa solubility can be considered significant descriptors prediction removal. influence feed temperature on also assessed. revealed rise from 5 19 °C, increases average 6.5%. • Performance assessment treatments Investigation effect (e.g., MW, charge, log D) efficiencies. Modelling based statistical analysis. Investigate efficiencies Removals nicosulfuron, naphthalene trisulfonic acid disulfonic measured first time.