Viral-filtering nanofibre face protection
Viral-filtering nanofibre face protection
批准号:
57034
负责人:
金额:
$6.07万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
We aim to develop a filter material that is effective at stopping very small particles, smaller than the COV19 virus (60nm) and thus effectively stop virus transmission. This filter material will be integrated in masks for the general public, to help with a safe return to work and will be certified for viral filtration efficiency independently.The UK economy is forecast to shrink 35%, with 2 million jobs lost. Until immunisation becomes available nation-wide (and worldwide), there is a significant risk of major disruption and the UK cannot afford a return to lockdown. Face masks are the new norm, but, apart from the high-end medical N95 respirators, no other filters are rated to stop viruses effectively. The supply of high-end respirators must be prioritised for frontline medical staff.Our solution is to manufacture filters using polymer nanofibres made from a biocompatible material, filters which are highly-breathable, flexible and can be used as inserts into textile, simple face masks. This will increase the protection of cloth masks (even home-made ones) significantly, with the efficiency then being ruled by the tightness of the fit around the filter/face. The polymer nanofibres will also use static electricity to trap even the smallest of nanoparticles, and may be of further use in areas of high pollution or for people with chronic respiratory problems.Nanofibres are produced using a high electric field to pull a fibre out of a droplet of solution on the end of a needle (a process called electrospinning), a very slow process that would make filters for ~3 masks/day. Due to electrostatic shielding, bringing more needles to bear is not a linear process, requiring higher and more unsafe voltages, and limiting the choice of polymers that can be used (eg. no flammable solvents). Our innovation is a modular solution that increases deposition rates by 1000 - 10000 times per module.In this project, we will develop the prototype filter material, validate it independently for viral filtration and move to trial production, followed by large-area pilot production.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
E-Learning中的协作式学习与个性化预测模型研究
-
批准号:60372078
-
项目类别:面上项目
-
资助金额:24.0万元
-
批准年份:2003
-
负责人:申瑞民
-
依托单位: