Membrane processes for water and wastewater treatment : study and modeling of interactions between membrane and organic matter

The aim of this work is a better understanding of the microscopic behavior of organic matters during the wastewater treatment of complex mixtures, especially during the membrane processes. Both experimental and simulation methods were developed in this work. Experimentally, adsorption isotherms were built to study the adsorption of organic matters on the membrane surface during the filtration. The sessile drop measurement allowed investigating the surface properties (interfacial tensions) of the membrane. After the filtration of surfactants by reverse osmosis (RO), we found that the surfactants played an important role in the performance and the surface properties of the RO membrane. The DPD (Dissipative Particle Dynamics) simulation method was used to model the behavior of anionic surfactants in solution and at the solid/liquid interface from a more detailed aspect than experiments. Firstly, the micellization of three anionic surfactants in aqueous solution was simulated and the model was validated by comparing the equilibrium properties (the critical micelle concentration and aggregation number) of micelle solutions obtained from simulation to the experimental values in literature. Then the model was extended to simulate the adsorption of surfactants on the RO membrane. The construction of a system with a membrane was initiated, and the study on the organizations of surfactants at the membrane surface opens a door to further active research.

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Source https://theses.hal.science/tel-00969165
Author Mai, Zhaohuan
Maintainer CCSD
Last Updated May 5, 2026, 19:02 (UTC)
Created May 5, 2026, 19:02 (UTC)
Identifier NNT: 2013ECAP0053
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Génie des Procédés et Matériaux - EA 4038 (LGPM) ; CentraleSupélec
creator Mai, Zhaohuan
date 2013-10-02T00:00:00
harvest_object_id 688bc92f-581f-49f0-894a-47a32f4064aa
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE