摘要: |
This project focuses on PM₁₀ prevalent at an air monitoring site adjacent to the Houston Ship Channel and Interstate Highway 610; Clinton Drive. The main goal of this study is to simultaneously measure major/trace metals and microorganism diversity in airborne coarse particulate matter. We will quantify vehicular contributions to PM₁₀ by analyzing aerosols’ elemental composition. Additionally, state-of-the-art next generation sequencing tools and 16S rRNA gene sequencing will be implemented to evaluate airborne microorganism diversity and prevalence in PM₁₀ in the proximity of roadways. Nine PM₁₀ samples were collected from August 10 – August 18, 2018 for analysis. Elemental analysis will be performed using high temperature microwave assisted acid digestion followed by inductively coupled plasma – mass spectrometry (ICP-MS). Next, source apportionment via the chemical mass balance model will be performed to determine the extent to which tailpipe and non-tailpipe emissions including resuspended road dust contribute to ambient PM concentrations. These experiments and modeling will be conducted by Mr. Sourav Das, a doctoral student in the Department of Civil & Environmental Engineering. Separately, Dr. Jothikumar at the Centers for Disease Control and Prevention will implement novel whole genome sequencing to evaluate microorganism diversity. Note that PM₁₀ is targeted to capture fungi. Finally, undergraduate students will review health effects literature relevant to our measurements stressing knowledge gaps. At the successful completion of this project, a novel, high-impact, high quality, “hard science” dataset on exposure of low-income underrepresented minority families to vehicular trace metals and biological aerosols proximal to a busy roadway will be generated. |