Multi-level structured polylactic acid electrospun fiber membrane based on green solvents for high-performance air filtration

聚乳酸 过滤(数学) 化学工程 材料科学 静电纺丝 纤维 吸附 微滤 聚合物 中空纤维膜 复合材料 化学 有机化学 生物化学 统计 数学 工程类
作者
Jing Ge,Xujin Lv,Jianwei Zhou,Yarong Lv,Jingyi Sun,Han Guo,Ce Wang,Ping Hu,Zdenko Špitálský,Yong Liu
出处
期刊:Separation and Purification Technology [Elsevier]
卷期号:331: 125659-125659 被引量:44
标识
DOI:10.1016/j.seppur.2023.125659
摘要

Particle matter (PM) pollution seriously threatens public health as it can combine with viruses and heavy metals to enter the human body and cause various diseases. Electrospun polymer fiber membranes, especially biodegradable materials such as polylactic acid, have great potential in PM filtration. However, most polylactic acid fiber membranes are imbalanced between filtration efficiency and resistance. Porous and bead-like fibers offer higher filtration efficiency and are expected to address these challenges with their larger specific surface area. Nonetheless, this structure may compromise the mechanical strength of the fiber membrane, thereby affecting the stability of gas purification and separation. Additionally, the significant volatilization of solvents during solution electrospinning can result in environmental concerns. Here, we prepared a double-layer filter with beads and cracks using a green mixed solvent of N, N-dimethylacetamide and dimethyl carbonate. The difference in the volatilization rate of mixed solvents increases the roughness of the membrane surface and enhances the adsorption of PMs. The structural difference between the two layers of membranes enables graded filtration of particles, further reducing pressure drop. Moreover, the entanglement at the interfaces enhances the mechanical properties of the bilayer membrane. It is worth mentioning that the design of the double-layer membrane improves the overall hydrophobicity and has practical application potential.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
Orange应助失眠的金针菇采纳,获得10
1秒前
yyyyds发布了新的文献求助10
1秒前
xiongdi521发布了新的文献求助30
1秒前
2秒前
2秒前
霸气的又琴完成签到,获得积分10
2秒前
3秒前
大个应助永曼采纳,获得10
3秒前
5秒前
xiongdi521完成签到,获得积分10
5秒前
芋圆发布了新的文献求助10
6秒前
kiveeen发布了新的文献求助10
6秒前
HeeUn发布了新的文献求助20
6秒前
传奇3应助yyyyds采纳,获得10
6秒前
7秒前
脑洞疼应助三千采纳,获得10
7秒前
香蕉觅云应助weilihui采纳,获得10
8秒前
sui风完成签到,获得积分20
8秒前
9秒前
10秒前
12秒前
sxy完成签到,获得积分20
12秒前
Zpiao发布了新的文献求助10
12秒前
13秒前
共享精神应助WN采纳,获得10
13秒前
内坻崿完成签到,获得积分10
14秒前
我是老大应助无奈采纳,获得10
15秒前
Jasper应助明朗采纳,获得20
15秒前
15秒前
15秒前
SunXinwei完成签到,获得积分10
16秒前
bkagyin应助Wxj246801采纳,获得10
16秒前
Ava应助小米采纳,获得10
16秒前
番茄发布了新的文献求助10
17秒前
各家各户可贵可敬完成签到,获得积分20
18秒前
yingying完成签到,获得积分10
19秒前
xxfsx应助科研通管家采纳,获得10
19秒前
FashionBoy应助科研通管家采纳,获得10
19秒前
脑洞疼应助科研通管家采纳,获得10
19秒前
科研通AI2S应助科研通管家采纳,获得10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1041
Mentoring for Wellbeing in Schools 600
Binary Alloy Phase Diagrams, 2nd Edition 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5492320
求助须知:如何正确求助?哪些是违规求助? 4590495
关于积分的说明 14430628
捐赠科研通 4522917
什么是DOI,文献DOI怎么找? 2478081
邀请新用户注册赠送积分活动 1463129
关于科研通互助平台的介绍 1435791