期刊
CARBOHYDRATE POLYMERS
卷 321, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.carbpol.2023.121296
关键词
Carbohydrate polymers; Membranes; Gas purification; Cellulose derivatives; Environments
This review investigates the performance of cellulose-based polymeric membranes, including cellulose acetate, cellulose diacetate, cellulose triacetate, ethyl cellulose, and carboxymethyl cellulose, in the separation of different gases. The influence of cellulose functionalization on gas separation and permeability is considered, along with the effects of different modification procedures, such as blending with polymers, nanomaterials, and ionic liquids. The potential of cellulose-based gas separation membranes for industrial applications, as well as strategies for membrane modification and optimization, are discussed, along with current limitations and future perspectives.
Due to low-cost, sustainability and good mechanical stability, cellulose-based materials are frequently used in fabrication of polymeric gas separation membrane as potential carbohydrate polymers to substitute traditional petrochemical-based materials. In this review, the performance of cellulose-based polymeric membranes i.e. cellulose acetate, cellulose diacetate, cellulose triacetate, ethyl cellulose and carboxymethyl cellulose in the separation of different gases were investigated. This review paper provides the main features and advantages in the fabrication of cellulose-based gas separation membranes. The influence of the functionalization of cellulose on gas separation and permeability performance of related membranes is considered. Influence of different modification procedures such as blending with polymers, nanomaterials and ionic liquids on the gas separation ability of cellulose-based membranes were reviewed. Moreover, a brief inquiry of the potential of cellulose-based gas separation membranes for industrial applications, by examining the performance of different cellulose derivatives and identifying potential strategies for membrane modification and optimization are given, along with the current restrictions and the future perspectives are discussed.
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