Layered double hydroxide nanoparticle modified forward osmosis membranes via polydopamine immobilization with significantly enhanced chlorine and fouling resistance
Autor: | Shuai Liang, Peng Lu, Tuantuan Zhou, Xueyi Mei, Qiang Wang, Tianshan Xue |
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Rok vydání: | 2017 |
Předmět: |
Fouling
Chemistry Mechanical Engineering General Chemical Engineering Forward osmosis chemistry.chemical_element Nanoparticle 02 engineering and technology General Chemistry 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences chemistry.chemical_compound Membrane Chemical engineering Polymer chemistry Polyamide polycyclic compounds Chlorine Hydroxide General Materials Science 0210 nano-technology Layer (electronics) Water Science and Technology |
Zdroj: | Desalination. 421:99-109 |
ISSN: | 0011-9164 |
DOI: | 10.1016/j.desal.2017.04.030 |
Popis: | Currently, the degradation of polyamide (PA) layers in thin-film composite (TFC) membranes due to chlorine-based chemical cleaning is still the major obstacles to the development of reverse and forward osmosis (FO) technologies. In this study, layered double hydroxide (LDH) nanoparticles were bound on the TFC membranes by virtue of a polydopamine (PDA)-induced immobilization process to enhance its chlorine and fouling resistance. Two modification strategies as deposition and dip-coating were compared. The accelerated chlorination experiments using 1000 ppm NaOCl indicated the excellent chlorine-resistant performance of the deposition-modified TFC membrane, the chlorine-resistant time was improved about 96 times than the control membrane. The LDH layer served as a barrier to protect the PA layer from chlorination. Moreover, the LDH-modified membrane exhibited a better resistance to organic fouling. Also, the bound LDH layer succeeded to reduce the attachment of bacteria, indicating a promising anti-fouling capability. In general, the modification using the LDH nanoparticles effectively improved the chlorine and fouling resistance of the TFC membranes, suggesting promising applications in various areas. |
Databáze: | OpenAIRE |
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