CAREER:A Comprehensive Assessment of the Reactive Oxygen Species Activity of Ambient Fine Particulate Matter and its association with the Chemical Composition

职业：环境细颗粒物活性氧活性的综合评估及其与化学成分的关系

• 批准号: 1847237
• 负责人: Vishal Verma
• 金额: $ 50.14万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1847237&HistoricalAwards=false
• 关键词: CAREER; Comprehensive; Assessment; Reactive; Oxygen

Air pollution particles are complex mixtures of organic and inorganic components. Due to their small size, particles smaller than 2.5 microns (called PM2.5) can be inhaled deep into human lungs. Once there, PM2.5 can cause damage to lung tissues by generating oxidants. PM2.5 levels are measured by mass abundance, but this metric does not predict health risk because different particles create different amounts of oxidants. The goal of this research is to develop an automated instrument to measure the capability of PM2.5 to generate oxidants. Particle constituents that generate oxidants will be quantified using novel chemical characterization and modeling. Successful development of this technology will transform our ability to rapidly measure health risk. Interactive summer camps involving high school students and teachers will be organized and an online module to assess PM2.5 exposure risk will be developed. Societal benefits will result from increasing scientific literacy and broadening participation of youth from diverse backgrounds in environmental engineering and public health.Ambient PM2.5 is the fifth largest risk factor contributing to global burden of disease. Despite the confirmed association of PM2.5 mass concentrations with various human diseases, there is a significant gap in our knowledge of how they PM2.5 causes adverse health effects. The capability to generate reactive oxygen species (ROS) is an important property of PM2.5 that may be the missing link between these associations. There are two major challenges in the widespread adoption of ROS as a measure of risk. First, ROS measurement is laborious and time-consuming in comparison to easily measured bulk PM2.5 mass. Second, we lack a mechanistic understanding of how particulate chemical components catalyze ROS generation. This project will develop an automated instrument for measuring all biologically plausible modes of ROS activity of ambient PM2.5. The instrument will be used to analyze the ROS activity of ambient PM2.5 samples collected from six sites in the Midwest US. The extensive dataset of ambient PM2.5 ROS activity will be integrated with a detailed chemical characterization scheme to identify the chemical components associated with different modes of ROS generation. The contribution of each component to total ROS activity will be quantified by applying regression-based modeling techniques. Successful development of a rapid and accurate identification of ROS-active chemical constituents would transform our ability to design effective particulate emission control strategies. Broader impacts of this research will result from the reduction of the global burden of the diseases associated with ambient PM. These results will be disseminated to a broad audience of K-12 students and teachers through summer camps, as well as the public through online risk prediction modules to increase the scientific literacy of the Nation.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.

空气污染颗粒物是有机和无机成分的复杂混合物。小于2.5微米的颗粒物（称为PM2.5）可以被吸入人体肺部深处。一旦到达那里，PM2.5就会通过产生氧化剂对肺组织造成损害。PM2.5水平是通过质量丰度来衡量的，但这个指标并不能预测健康风险，因为不同的颗粒产生不同数量的氧化剂。本研究的目的是开发一种自动化仪器来测量PM2.5产生氧化剂的能力。产生氧化剂的颗粒成分将使用新的化学表征和建模进行量化。这项技术的成功开发将改变我们快速测量健康风险的能力。将组织高中学生和教师参加的互动夏令营，并开发评估PM2.5暴露风险的在线模块。提高科学素养和扩大来自不同背景的青年参与环境工程和公共卫生将带来社会效益。环境PM2.5是导致全球疾病负担的第五大风险因素。尽管已证实PM2.5质量浓度与各种人类疾病有关，但我们对PM2.5如何造成不良健康影响的认识存在重大差距。产生活性氧（ROS）的能力是PM2.5的一个重要特性，可能是这些关联之间缺失的环节。在广泛采用ROS作为风险度量方面存在两个主要挑战。首先，与容易测量的大体积PM2.5质量相比，ROS测量是费力和耗时的。其次，我们缺乏对颗粒化学成分如何催化ROS生成的机理理解。该项目将开发一种自动化仪器，用于测量环境PM2.5中ROS活性的所有生物学合理模式。该仪器将用于分析从美国中西部六个地点收集的环境PM2.5样品的ROS活性。环境PM2.5 ROS活性的广泛数据集将与详细的化学表征方案相结合，以确定与不同ROS生成模式相关的化学成分。将通过应用基于回归的建模技术定量各组分对总ROS活性的贡献。成功开发快速准确识别ROS活性化学成分的方法将改变我们设计有效颗粒物排放控制策略的能力。这项研究的更广泛影响将来自于减少与环境PM相关的疾病的全球负担。这些结果将通过夏令营传播给K-12学生和教师的广泛受众，以及通过在线风险预测模块传播给公众，以提高国家的科学素养。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。

项目成果

Spatiotemporal variability in the oxidative potential of ambient fine particulate matter in the Midwestern United States

• DOI: 10.5194/acp-21-16363-2021
• 发表时间: 2021-11
• 期刊: Atmospheric Chemistry and Physics
• 影响因子: 6.3
• 作者: Haoran Yu;J. Puthussery;Yixiang Wang;V. Verma

A semi-automated instrument for cellular oxidative potential evaluation (SCOPE) of water-soluble extracts of ambient particulate matter

用于环境颗粒物水溶性提取物细胞氧化电位评估 (SCOPE) 的半自动仪器

• DOI: 10.5194/amt-14-7579-2021
• 发表时间: 2021
• 期刊: Atmospheric Measurement Techniques
• 影响因子: 3.8
• 作者: Salana, Sudheer;Wang, Yixiang;Puthussery, Joseph V.;Verma, Vishal
• 通讯作者: Verma, Vishal