Preparation of antibacterial and strong regenerated cellulose film via crosslinking with polymeric quaternary ammonium salt containing epoxy/ZnO

Meng Zhang, Xiaoning Tang, Tian Si, Xueping Wang, Xue Wu
{"title":"Preparation of antibacterial and strong regenerated cellulose film via crosslinking with polymeric quaternary ammonium salt containing epoxy/ZnO","authors":"Meng Zhang, Xiaoning Tang, Tian Si, Xueping Wang, Xue Wu","doi":"10.15376/biores.19.2.2149-2159","DOIUrl":null,"url":null,"abstract":"Particulate matter (PM), usually formed as aerosols suspended in atmosphere, is becoming a carrier of viruses and bacteria, accelerating the spread of respiratory diseases. Hence, air filtration devices are widely utilized for removing PM. In this study, a regenerated cellulose (RC) film was prepared with the properties of good mechanical strength, antibacterial, and highly efficient filtration (EF) properties, through cellulose dissolution and further crosslinking with P(AGE-DMDAAC)/ZnO. Results exhibited that the Young’s modulus of the composite membrane was nearly 4.3 GPa. Additionally, the antibacterial performance against Escherichia coli and Staphylococcus aureus, was up to 99.89% and 99.67%, respectively. Meanwhile, RC composite filter exhibited a high PM 2.5 capture efficiency (over 99.91%). This study introduces an interesting approach to produce antibacterial films with the characteristics of notably good mechanical performance and high fine particle EF that can be utilized in a high humidity environment.","PeriodicalId":503414,"journal":{"name":"BioResources","volume":"98 35","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BioResources","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15376/biores.19.2.2149-2159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Particulate matter (PM), usually formed as aerosols suspended in atmosphere, is becoming a carrier of viruses and bacteria, accelerating the spread of respiratory diseases. Hence, air filtration devices are widely utilized for removing PM. In this study, a regenerated cellulose (RC) film was prepared with the properties of good mechanical strength, antibacterial, and highly efficient filtration (EF) properties, through cellulose dissolution and further crosslinking with P(AGE-DMDAAC)/ZnO. Results exhibited that the Young’s modulus of the composite membrane was nearly 4.3 GPa. Additionally, the antibacterial performance against Escherichia coli and Staphylococcus aureus, was up to 99.89% and 99.67%, respectively. Meanwhile, RC composite filter exhibited a high PM 2.5 capture efficiency (over 99.91%). This study introduces an interesting approach to produce antibacterial films with the characteristics of notably good mechanical performance and high fine particle EF that can be utilized in a high humidity environment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过与含环氧树脂/氧化锌的聚合物季铵盐交联制备抗菌强力再生纤维素薄膜
颗粒物(PM)通常以悬浮在大气中的气溶胶形式形成,正在成为病毒和细菌的载体,加速了呼吸道疾病的传播。因此,空气过滤设备被广泛用于去除可吸入颗粒物。本研究通过纤维素溶解并与 P(AGE-DMDAAC)/ZnO 进一步交联,制备了一种具有良好机械强度、抗菌和高效过滤(EF)性能的再生纤维素(RC)薄膜。结果表明,复合膜的杨氏模量接近 4.3 GPa。此外,对大肠杆菌和金黄色葡萄球菌的抗菌性能分别高达 99.89% 和 99.67%。同时,RC 复合过滤器还具有较高的 PM 2.5 捕获效率(超过 99.91%)。这项研究提出了一种有趣的方法来生产抗菌薄膜,这种薄膜具有显著的机械性能和高微粒 EF 值,可在高湿度环境中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The eutrophication-related index of drinking water sources based on the oxidation-reduction potential A systematic classification and typological assessment method for mortise and tenon joints Structure and oxygen evolution reaction performance of Ni-supported catalysts based on steam-exploded poplar Methods for characterization and continuum modeling of inhomogeneous properties of paper and paperboard materials: A review Determining the optimum layer combination for cross-laminated timber panels according to timber strength classes using Artificial Neural Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1