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Workshop on Roadmapping of Quantitative Understanding of Cleaning & Decontamination

清洁定量理解路线图研讨会

基本信息

批准号：
EP/T033991/1
负责人：
David Wilson
金额：
$ 3.25万
依托单位：
University of Cambridge
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FT033991%2F1
关键词：
Workshop Roadmapping Quantitative Understanding Cleaning

项目摘要

Cleaning and decontamination are ubiquitous operations in the home, healthcare and industry. The removal of unwanted residues from surfaces in order to avoid cross-contamination between products (e.g. in the kitchen, food or pharmaceutical manufacture), the removal of fouling layers to return surfaces to their original condition or level of performance (e.g. from windows, walls or heat exchangers), or the elimination of organisms and biofilms from surgical instruments (e.g. in healthcare) have historically been tackled by 'tried and tested' approaches which have been developed over time. Such empirical approaches are unlikely to be suitable for the new cleaning and decontamination challenges which the UK and many other nations face, which include(a) New soils and surfaces. The food industry is subject to continuous innovation as it seeks to supply nutritious food subject to evolving guidance on ingredients, allergens and consumer requirements. Elsewhere, the NHS and other healthcare providers are regularly challenged by different organisms comprising the hygienic status of patient facilities. (b) Dangerous soils. The poisoning of Sergei and Yulia Skripal in 2018 was followed by many months of work to decontaminate the Skripal's house and other items and locations which had come into contact with the Novichok substance. The UK nuclear industry faces a range of new cleaning and decontamination cases associated with the decommissioning of reactors and fuel reprocessing plants. Determining how to clean these effectively without extensive testing is critical as the materials used to clean the surfaces are themselves contaminated: trials are very costly in time and resources. (c) Limited resources. Many cleaning operations employ large volumes of clean water, often heated and often containing cleaning agents. The sustainability of many food manufacturing operations is determined by the time spent cleaning (reducing productivity) and the cost of providing, preparing and treating this water. This workshop will establish the state of the art in quantitative modelling of cleaning and decontamination operations in the UK and beyond. It will bring together experts from different disciplines and industries to maximise the sharing of existing knowledge and capture the challenges on the horizon. A key deliverable is the creation of a roadmap to guide future research in this area.It will take the form of a 2.5 day physical meeting in September 2020 followed by a 1 day web-conference of the organisers in early November 2020 where the summaries will be finalised. Day 1 will focus on establishing the state of the art (or science) in related disciplines, with a series of keynote presentations by invited speakers on topics ranging from mathematical methods to experimental techniques and data methods. These will be interspersed by sessions with short oral presentations by active researchers in order to highlight ongoing work, and ferment networking. The emphasis will be on current work. Day 2 will focus on challenges, with invited presentations from industry (including food, pharma and nuclear), government (e.g. DSTL, DEFRA) and services (e.g. water, hospitals). Each presentation will be followed by a discussion of the quantitative elements involved, focusing on gaps in existing science and issues arising in testing, modelling and resources.Day 3 will bring learnings together to identify priorities in research and future work for the roadmap.The findings from the Workshop will be made available on a publicly available archive.

清洁和去污是家庭、医疗保健和工业中普遍存在的操作。清除表面上不需要的残留物，以避免产品之间的交叉污染（例如，在厨房，食品或制药生产中），去除污垢层，使表面恢复其原始状态或性能水平（例如，从窗户，墙壁或热交换器）；或者从手术器械（例如医疗保健）中消除生物体和生物膜，历史上一直是通过“经过试验和测试”的方法来解决的，这些方法是随着时间的推移而发展起来的。这种经验方法不太可能适用于英国和许多其他国家面临的新的清洁和去污染挑战，其中包括(a)新的土壤和表面。食品工业不断创新，力求提供营养食品，并遵守不断变化的成分、过敏原和消费者要求指南。在其他地方，国民保健制度和其他保健提供者经常受到包括病人设施卫生状况在内的不同生物体的挑战。(b)危险土壤。2018年谢尔盖和尤利娅·斯克里帕尔中毒后，人们花了好几个月的时间对斯克里帕尔的房子和其他接触过诺维乔克物质的物品和地点进行了净化。英国核工业面临着一系列与反应堆和燃料后处理工厂退役有关的新的清洁和去污染案例。决定如何在不进行大量测试的情况下有效地清洁这些表面是至关重要的，因为用于清洁表面的材料本身是受污染的：试验在时间和资源上都非常昂贵。(c)资源有限。许多清洁操作使用大量的清洁水，通常是加热的，通常含有清洁剂。许多食品生产操作的可持续性取决于清洁所花费的时间（降低生产率）以及提供、准备和处理这些水的成本。本次研讨会将在英国及其他地区建立最先进的清洁和去污操作定量模型。它将汇集来自不同学科和行业的专家，最大限度地分享现有知识，并抓住即将到来的挑战。一个关键的交付成果是创建一个路线图，以指导该领域的未来研究。它将在2020年9月举行为期2.5天的实体会议，然后在2020年11月初举行为期1天的组织者网络会议，届时总结将最终确定。第一天的重点是建立相关学科的艺术（或科学）状态，邀请演讲者就从数学方法到实验技术和数据方法等主题进行一系列主题演讲。这些会议将穿插由活跃的研究人员进行简短的口头报告，以突出正在进行的工作，并建立网络。重点将放在当前的工作上。第2天将重点关注挑战，邀请来自工业（包括食品、制药和核能）、政府（如DSTL、DEFRA）和服务（如水、医院）的演讲。每次介绍之后将讨论所涉及的数量因素，重点是现有科学中的差距以及在测试、建模和资源方面出现的问题。第三天将汇集学习成果，确定路线图的研究重点和未来工作。讲习班的调查结果将在公开档案中提供。