Mixed matrix membranes containing well-designed composite microcapsules for CO2 separation
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Bin ZhuLiu, Jindun
Wang, Shaofei

Wang, Jingtao
Liu, Min
Yan, Zhikun
Shi, Feng
Li, Jiahao
Li, Yifan
Date
2018-11-20Online Publication Date
2018-11-20Print Publication Date
2019-02Permanent link to this record
http://hdl.handle.net/10754/630187
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Hollow fillers with tailored nanostructures and functionalities have become promising candidates for advanced mixed matrix membranes (MMMs). Herein, polydopamine/poly (ethylene glycol) (PEG) composite microcapsules are synthesized by hard template method and embedded into the Pebax matrix to fabricate MMMs for CO2 capture. As a well-known biomimetic adhesive, polydopamine in the capsule wall renders adequate polymer-filler interfacial adhesion. The template removal process produces through-wall mesopores, which allow rapid gas diffusion into the lumen, further significantly reducing the trans-membrane mass transfer resistance. The remaining PEG in the capsule wall not only increases CO2 affinity, but also avoids excessive chain rigidification at polymer-filler interface. In this way, the composite capsules, compared with those without PEG, confer significantly enhanced separation performance on membranes. The optimal gas transport property of the resultant membranes is obtained with a CO2 permeability of 510 Barrer and an ideal selectivity of 84.6 for CO2/N2 at humidified state, i.e., 108%, 98% higher than those of neat Pebax membrane, respectively. In addition, owing to dopamine-enabled strong adhesion, the MMMs exhibit better stability than Pebax membrane in the long-term test at 85°C.Citation
Bin Zhu, Liu J, Wang S, Wang J, Liu M, et al. (2018) Mixed matrix membranes containing well-designed composite microcapsules for CO2 separation. Journal of Membrane Science. Available: http://dx.doi.org/10.1016/j.memsci.2018.11.039.Sponsors
The study was financially supported by National Natural Science Foundation of China (21506196 and 21878277), Natural Science Foundation of Henan province (182300410268), China Postdoctoral Science Foundation (2015M570633 and 2017T100538), and Outstanding Young Talent Research Fund of Zhengzhou University (1521324002). We also gratefully acknowledge the instrument support from Center of Advanced Analysis & Computational Science, Zhengzhou University.Publisher
Elsevier BVJournal
Journal of Membrane ScienceAdditional Links
http://www.sciencedirect.com/science/article/pii/S0376738818327583ae974a485f413a2113503eed53cd6c53
10.1016/j.memsci.2018.11.039