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| U. of Wash. > School of Public Health > Dept. Env. Health > Prospective Graduate Students Graduate Studies > Student Research | ||
Focus on Student Research: Chang-Fu WuExposure
Assessment Using Open-path
Fourier Transform Infrared Spectroscopy
Exposure assessment is an important process for evaluating risk from occupational hazards. This information can be used to determine if administrative controls, engineering controls and respiratory protection, or other programs are needed to protect workers from adverse health effects of airborne contaminants. The most common methods to evaluate personal exposures utilize either sampling pumps with appropriate collecting media or passive sampling devices. Usually these air samples are collected for a full working shift and then interpreted and compared to the 8-hour Time Weighted Average (TWA) exposure limits. However,
in the context of providing a warning system to
prevent short-term (e.g. 15 minutes) over exposures,
conventional sampling methods can have several limitations.
Obtaining exposure data with conventional approaches
requires changing the collecting media many times during
the sampling period. These samples usually need laboratory
analysis and do not provide real-time information. When To overcome
those problems, Chang-Fu Wu, a doctoral
student in the Department of Environmental Health, has
proposed using open-path Fourier transform infrared (OPFTIR)
spectroscopy to monitor personal exposure. The OPFTIR
instrument sends out infrared light along a fixed beam
path to measure chemicals in the air over distances up to
1000 meters. The collected light can provide information on
composition and concentration of many air contaminants.
For industrial-hygiene exposure assessments, applying OPFTIR
can: 1) identify and quantify mixtures of airborne
compounds with low detection limits; 2) provide continuous
and real-time information; 3) measure agents in situ without
the need for sampling devices; and 4) provide a warning Data collected
by OP-FTIR instruments are in the form of
a path-integrated concentration. With data along only one
fixed beam path, it is unclear if the contaminant is uniformly
distributed along the path or highly concentrated in
a small
area. In the lab, it has been demonstrated that air contaminants
can be rapidly mapped using data from multiple beam
paths and applying a novel radial scanning technique with
computed tomography (CT) algorithms. This creates a The proposed sampling approach involves two major concepts. First, the concentration profile over space during the sampling period is needed. It is obtained from the CTFTIR reconstructions. Second, it is necessary to know the person’s position in real-time, which can be determined by applying the technique of motion tracking either with image analysis or with the Global Positioning System. A series of simulation studies was conducted to demonstrate the feasibility of this sampling approach. The results showed that the correlation between the expected and reconstructed exposure levels can be very high (r2>0.8). Currently, Chang-Fu and others in the lab are collecting experimental data in a ventilation chamber to test the system in controlled conditions. If all goes well, the experiments will soon be finished, and there will be field data to validate this theory. |
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