Excitation Emission Matrix Fluorescence Spectroscopy for Combustion Generated Particulate Matter Source Identification.

ABSTRACT: The inhalation of particulate matter (PM) is a significant health risk associated with reduced life expectancy due to increased cardio-pulmonary disease and exacerbation of respiratory diseases such as asthma and pneumonia. PM originates from natural and anthropogenic sources including combustion engines, cigarettes, agricultural burning, and forest fires. Identifying the source of PM can inform effective mitigation strategies and policies, but this is difficult to do using current techniques. Here we present a method for identifying PM source using excitation emission matrix (EEM) fluorescence spectroscopy and a machine learning algorithm. We collected combustion generated PM_2.5 from wood burning, diesel exhaust, and cigarettes using filters. Filters were weighted to determine

SUBMITTER: Rutherford JW 

PROVIDER: S-EPMC7111209 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature