Developing and Applying New Approaches to Air Pollution Exposure Measurement for Individuals and Populations

前沿研究发生在互补学科的交叉点上。在空气污染暴露建模的背景下，智能手机技术的快速出现创造了令人兴奋的机会，进一步加深了我们对个人流动模式如何影响暴露的理解。此外，与传统的基于质量的测量相比，新的化学分析方法可能提供更有意义的颗粒污染物暴露信息。然而，我们还没有意识到这些新技术的全部潜力，还需要进一步的研究来无缝地整合这些数据流，以更好地了解个人和人群水平的空气污染暴露。*我的长期研究计划有两个主要主题：1)开发支持基于流动性的空气污染暴露评估的工具；2)应用新的化学分析方法，更好地了解导致生物系统氧化应激的细颗粒物(PM2.5)的成分。这些主题本质上是多学科的，并得到与大气化学家、土木工程师和地理学家的持续合作的支持。在接下来的5年里，计划开展两个短期项目。首先，Maple(基于移动性的空气污染暴露)项目将扩展现有智能手机应用程序(DataMobile；由Concordia大学的Zachary Patterson博士开发)的功能，通过将受试者的轨迹映射到暴露表面的颗粒性空气污染物来包括对短期和长期空气污染暴露的估计。将收集匿名数据，以评估活动模式如何影响空气污染暴露，以及这些模式如何随社区特征和其他因素而变化。还将进行一项验证性研究，将基于机动性的暴露估计与“黄金标准”的个人暴露进行比较。其次，我将扩大正在进行的Spartan(表面颗粒物网络)项目，将全球13个地点的PM2.5氧化潜力测量包括在内。最近的证据表明，与传统的基于质量的测量相比，PM2.5氧化潜力(即PM2.5引起氧化应激的能力)可能是一种更具生物学相关性的暴露。将这一参数纳入斯巴达标准将使我们能够评估PM2.5的哪些成分是世界上最重要的氧化潜力预测因子。*我的研究计划将把流动性信息纳入个人暴露评估，并超越传统的基于质量的颗粒物空气污染测量，从而推动空气污染暴露科学的最先进水平。我将开发具有成本效益的工具来告知公众，支持大规模的基于人群的暴露评估，并为未来的学术努力提供持续的数据来源。我还将培养一批高素质的人才。**

Cutting edge research happens at the intersection of complementary disciplines. In the context of air pollution exposure modeling, the rapid emergence of smart phone technologies has created exciting opportunities to further our understanding of how individual mobility patterns impact exposures. In addition, new chemical assays are available that may provide more meaningful exposure information for particulate pollutants than traditional mass-based measurements. However, we have yet to realize the full potential of these new technologies and further research is needed to seamlessly integrate these data streams to better understand individual and population-level exposures to air pollution.******My long-term research program has two main themes: 1) Developing tools to support mobility-based air pollution exposure assessment; 2) Applying new chemical assays to better understand components of fine particles (PM2.5) that contribute to oxidative stress in biological systems. These themes are multi-disciplinary in nature and are supported by ongoing collaborations with atmospheric chemists, civil engineers, and geographers. Over the next 5-years, two short-term projects are planned. First, the MAPLE (Mobility-based Air PoLlution Exposure) project will extend the capabilities of an existing smart phone application (DataMobile; developed by Dr. Zachary Patterson, Concordia University) to include estimation of both short and long-term air pollution exposures by mapping subject trajectories to exposure surfaces for particulate air pollutants. Anonymous data will be collected to evaluate how activity patterns influence air pollution exposures and how these patterns vary by neighbourhood characteristics and other factors. A validation study will also be conducted to compare mobility-based exposure estimates to “gold-standard” personal exposures. Second, I will expand the ongoing SPARTAN (Surface PARTiculate mAtter Network) project to include measurements of PM2.5 oxidative potential at 13 locations around the globe. Recent evidence suggests that PM2.5 oxidative potential (i.e. the ability of PM2.5 to cause oxidative stress) may be a more biologically relevant exposure compared to traditional mass-based measurements. Incorporating this parameter into SPARTAN will allow us to evaluate which components of PM2.5 are the most important predictors of oxidative potential around the world. ******My research program will advance the state of the art in air pollution exposure science by incorporating mobility information into personal exposure assessment and by moving beyond traditional mass-based measurements for particulate air pollution. I will develop cost-effective tools to inform the public, support large-scale population-based exposure assessment, and provide an ongoing source of data for future academic endeavors. I will also train a number of highly quality personnel.**