Removal of antibiotics and estrogens by nanofiltration and reverse osmosis membranes.

J Hazard Mater

National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, East China University of Science and Technology, Shanghai 200237, PR China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, PR China; School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, PR China.

Published: January 2024

The separation behavior of a variety of emerging contaminants, including nine antibiotics and six estrogens commonly reported in natural environment, by four commercial nanofiltration and reverse osmosis (NF/RO) membranes at various water conditions (pH, concentration) was investigated. The contaminant rejection at pH 6.0 followed a decreasing trend of XLE (94%-100%) ≈ NF90 (88%-100%) > NF270 (25%-85%) > DL (16%-75%). The dense structures of NF90 and XLE reflected by their small effective pore radii (0.30-0.31 nm) contributed mainly to their high rejection, demonstrating the important role of size exclusion. For the negatively charged loose NF270 and DL membranes (0.40-0.45 nm), charge repulsion made additional contribution, which is markedly reflected by their greater rejection to charged antibiotics than neutral estrogens (45%-85% vs. 25%-60% by NF270). The correlation between rejection data and normalized molecular sizes at pH 4.0 and 9.0 intuitively demonstrated the individual role of size exclusion and charge repulsion. The adsorption by membranes was mainly responsible for the initial compound reduction in feedwater by 6%-25% within 3 h, while only 0.3%-5.6% was attributed to self-degradation. The adsorption capacity was determined, which might be mainly governed by hydrophobic interaction. The resolved controlling factors and mechanisms will contribute to the accurate prediction and membrane selection for trace contaminant removal by membrane process.

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http://dx.doi.org/10.1016/j.jhazmat.2023.132628DOI Listing

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