持久抗菌静电纺聚丙烯纳米纤维的制备及表征
Preparation and characterization of durable antibacterial electrospun polypropylene nanofibers
陈勇 1周海培 1黄小娜 1杨玉丽 1卿凯榕 1黄军武 1陈裕益1
作者信息
- 1. 广东职业技术学院轻工与材料学院,广东佛山 528041
- 折叠
摘要
为制备一种持久抗菌聚丙烯纳米纤维,采用优化工艺条件简化了不饱和季铵盐产物的纯化步骤,提高了合成效率,其结构与液质联用和红外光谱分析结果一致.将不饱和结构季铵盐与甲基丙烯酸甲酯共聚后降低了其溶出和表面富集风险,溶出率低于0.01％,采用红外光谱和核磁共振仪对化学结构进行了表征.抗菌共聚物与氯化聚丙烯溶解复合后采用静电纺丝技术制备得到纳米纤维,采用扫描电镜观察其平均直径在300 nm以下,相比熔喷纤维直径更小、表面积更大.通过浸提试验分析纤维膜的溶出率低于0.001％,可避免类似小分子季铵盐迁出富集的风险,使其具有持久抗菌的能力.3种细菌抗菌性能测试结果表明,抗菌聚丙烯纳米纤维具有广谱抗菌能力,在空气过滤、水净化和医用防护领域应用潜力较大.
Abstract
In order to prepare a durable antibacterial polypropylene nanofiber,the purification steps of unsaturated quaternary ammonium salt products are simplified by optimizing the process conditions,and the synthesis efficiency is improved.Its structure is consistent with the results of LC-MS and FTIR.The copolymerization of unsaturated quaternary ammonium with methyl methacrylate enormously reduced the risk of dissolution and surface enrichment,with a dissolution rate below 0.01％.The chemical structure of copolymer is characterized by FTIR and H1-NMR.Finally the antibacterial nanofibers are prepared by electrospinning of antibacterial copolymers and chlorinated polypropylene compound solution.Its average diameter is observed by SEM to be below 300 nm,which is smaller in diameter and larger in surface area compared with melt-blown fiber.And the nanofiber membrane has larger surface area with dissolution rate below 0.001％,which could avoid the similar surface enrichment risk of small molecule quaternary ammonium,guaranteeing its durable antibacterial ability.The antibacterial tests of the nanofiber membrane with three bacteria show that they have a broad spectrum of antibacterial capability,and have great application potential in the field of air filtration,water purification and medical protection.
关键词
纳米纤维/聚丙烯/静电纺丝/抗菌性能/季铵盐Key words
nanofiber/polypropylene/electrostatic spinning/anti-bacteria property/quaternary ammonium salt引用本文复制引用
基金项目
广东省科技创新战略专项(大学生科技创新培育)项目(2022)(2020329127360A000005)
出版年
2024
NETL
NSTL
万方数据