当前位置: X-MOL 学术Cellulose › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Polar molecule filtration using charged cellulose nanofiber membrane on the nanoporous alumina support for high rejection efficiency
Cellulose ( IF 4.9 ) Pub Date : 2020-01-03 , DOI: 10.1007/s10570-019-02928-6
Eui Don Han , Chan Woo Park , Seung Hwan Lee , Byeong Hee Kim , Young Ho Seo

Abstract

In this study, we propose a charged cellulose nanofiber membrane on nanoporous alumina support (c-CNFNA), which consists of eco-friendly materials for polar molecule filtration. The CNFs were extracted from the cell walls of a tree and oxidized by TEMPO ((2,2,6,6-Tetramethylpiperidin-1-yl)oxyl) to exhibit a negative charge on its surface. The nanoporous alumina support (NAS) with high aspect ratio was fabricated by anodic aluminum oxidation process and chemical wet etching process. The charged CNFs were coated on the NAS surface for fabrication of c-CNFNA, and negatively-charged polar molecules would be rejected by the equivalent charge of c-CNFNA. To investigate the polar molecule rejection performance of c-CNFNA, a polar molecule solution was injected into the surface of c-CNFNA. Rejection efficiency was calculated by measuring the concentration of the output solution, and hydraulic resistance was calculated from the pressure loss and flow rate. The results show that the rejection efficiency of c-CNFNA is 88–99% in the first rejection. In the second rejection, for almost all cases, approximately 100% rejection efficiency was achieved.



中文翻译:

使用纳米多孔氧化铝载体上的带电纤维素纳米纤维膜进行极性分子过滤,可实现高去除效率

摘要

在这项研究中,我们提出了一种在纳米多孔氧化铝载体(c-CNFNA)上的带电纤维素纳米纤维膜,该膜由用于极性分子过滤的环保材料组成。从树的细胞壁中提取CNF,并用TEMPO((2,2,6,6-四甲基哌啶-1-基)氧基)氧化,在其表面显示负电荷。通过阳极铝氧化工艺和化学湿法刻蚀工艺制备了高纵横比的纳米多孔氧化铝载体。将带电荷的CNF涂覆在NAS表面上以制造c-CNFNA,并且带负电荷的极性分子将被c-CNFNA的等效电荷排斥。为了研究c-CNFNA的极性分子排斥性能,将极性分子溶液注入c-CNFNA的表面。通过测量输出溶液的浓度来计算排斥效率,并从压力损失和流速计算出水力阻力。结果表明,c-CNFNA的第一次剔除效率为88–99%。在第二次剔除中,几乎所有情况下,都能达到大约100%的剔除效率。

更新日期:2020-01-04
down
wechat
bug