课题基金 / 基金详情

Predictive models for determining the fate of nonculturable and difficult-to-culture viruses in disinfection processes

Predictive models for determining the fate of nonculturable and difficult-to-culture viruses in disinfection processes
用于确定消毒过程中不可培养和难以培养病毒命运的预测模型
批准号:
2015187
负责人:
Krista Wigginton
金额:
$35.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-01 至 2024-07-31

项目摘要

项目成果

Krista Wigginton的其他基金

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中文摘要
翻译
病毒如诺如病毒、轮状病毒和肠道病毒是水传播疾病的主要原因。传统的水处理工艺,如混凝、沉淀和过滤,在去除病毒方面不是很有效。因此,水处理厂中病毒的去除和灭活在很大程度上依赖于消毒过程。然而,病毒消毒的有效性无法在大多数水质实验室进行测试。这是因为许多传染性病毒要么不能在人体外生长,要么需要大多数研究人员无法获得的非常高水平的生物安全设施。该研究项目的目标是开发关于所有病毒(包括新病原体,如COVID-19病毒)消毒有效性的新基础知识。为了实现这一目标,研究人员建议进行灭活实验的一组结构不同的水病毒,使用紫外线,游离氯,二氧化氯作为模型消毒剂。从这些实验中收集的数据将用于开发新的模型和预测工具。该项目的成功完成将通过开发新的知识和工具来识别非传染性和易于生长的替代品,以测试和验证水处理厂的病毒消毒效率,从而造福社会。通过将项目研究结果整合到关于病毒在生态学、生物技术和传染病中所起作用的新的跨学科课程中,通过学生教育和培训,将进一步造福社会。水传播病毒是世界范围内疾病的主要原因。消毒已成为水处理中用于灭活水传播病毒并阻止其传播的关键单元操作。然而,大多数学术,市政和工业水质实验室没有足够的设施和工具来衡量病毒消毒的有效性。虽然非传染性和易于生长的病毒通常被用作替代物来评估消毒效率,但没有一致的框架可用于选择此类替代物。此外,关于病毒消毒的程度和速度的已发表数据有限。这项研究的目标是解决病毒消毒中的这些知识空白。为了推进这一目标,PI将围绕三个具体任务开展综合实验和建模计划。在任务1中,将进行新的病毒灭活实验,以扩大可用的数据集,使用培养方法培养目标病毒,并将紫外线辐射、游离氯和二氧化氯作为模型消毒剂。在任务2中,任务1中收集的数据将用于开发和验证预测病毒灭活程度和速率的构效关系(SAR)。在任务III中,PI将利用从任务I和II中获得的新数据、见解和SAR,以确定更有效的替代品,用于测试和验证紫外线辐射和氯基消毒剂灭活病毒的有效性。该项目的成功完成具有潜在的变革性影响,通过开发新的见解和工具来预测水处理系统中病毒消毒的效率。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Viruses such as norovirus, rotavirus, and enteroviruses are major causes of waterborne illness. Conventional water treatment processes like coagulation, sedimentation, and filtration are not very effective at removing viruses. As a result, the removal and inactivation of viruses in water treatment plants rely heavily on disinfection processes. However, the effectiveness of virus disinfection cannot be tested in most water quality laboratories. This is due to the fact that many infectious viruses either cannot be grown outside of the human body or require facilities with very high levels of biosafety that are not available to most researchers. The goal of this research project is to develop new fundamental knowledge on the effectiveness of disinfection on all viruses including new pathogens such as the COVID-19 virus. To achieve this goal, the investigator proposes to carry out inactivation experiments on a group of structurally diverse waterborne-viruses using UV light, free chlorine, and chlorine dioxide as model disinfectants. The data collected from these experiments will be used to develop new models and predictive tools. Successful completion of this project will benefit society through the development of new knowledge and tools for identifying non-infectious and easy-to-grow surrogates for testing and validating virus disinfection efficiency at water treatment plants. Further benefits to society will be achieved through student education and training via the integration of the project findings into a new cross-disciplinary course on the roles that viruses play in ecology, biotechnology, and infectious diseases. Waterborne viruses are a major cause of illness worldwide. Disinfection has emerged as a critical unit operation used in water treatment to inactivate waterborne viruses and stop their transmission. However, most academic, municipal, and industrial water quality laboratories do not have adequate facilities and tools to measure the effectiveness of virus disinfection. Although non-infectious and easy-to-grow viruses are commonly employed as surrogates to evaluate disinfection efficiency, no consistent framework is available for selecting such surrogates. In addition, there is limited published data on the extent and rates of virus disinfection. The goal of this research is to address these knowledge gaps in virus disinfection. To advance this goal, the PI will carry out an integrated experimental and modeling program organized around three specific tasks. In Task 1, new virus inactivation experiments will be conducted to expand the available dataset using culture methods to grow the target viruses and UV radiation, free chlorine, and chlorine dioxide as model disinfectants. In Task 2, the data collected in Task 1 will be utilized to develop and validate structure-activity relationships (SARs) for predicting the extent and rate of virus inactivation. In Task III, the PI will leverage the new data, insight, and SARs obtained from Tasks I and II to identify more effective surrogates for testing and validating the efficacy of virus inactivation by UV radiation and chlorine-based disinfectants. Successful completion of this project has potential for transformative impact through the development of new insight and tools to predict the efficiency of virus disinfection in water treatment systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: National Symposium on PRedicting Emergence of Virulent Entities by Novel Technologies (PREVENT)
Collaborative Research: RAPID: Coronavirus persistence, transmission, and circulation in the environment
CAREER: Wastewater Treatment as a Conduit and Control of Emerging Respiratory Viruses in the Environment
EAGER: Dose-Response Disinfection Curves for Human Norovirus with Novel Mouse Model
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
河北南部地区灰霾的来源和形成机制研究
  • 批准号:
    41105105
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    25.0万元
  • 批准年份:
    2011
  • 负责人:
    王丽涛
  • 依托单位:
保险风险模型、投资组合及相关课题研究
  • 批准号:
    10971157
  • 项目类别:
    面上项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2009
  • 负责人:
    胡亦钧
  • 依托单位:
RKTG对ERK信号通路的调控和肿瘤生成的影响