Environmental Health Criteria 214
Environmental Health Criteria 214
Environmental Health Criteria 214
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HUMAN EXPOSURE ASSESSMENT<br />
Researchers have used both strategies for collecting dust samples<br />
(Farfel & Rhode, 1995).<br />
A common criticism of composite sampling is that toxicant<br />
variation across a floor or throughout a residence cannot be<br />
determined; toxicant "hot spots" may be missed. It must be<br />
acknowledged, however, that any settled dust sampling strategy may<br />
miss hot spots. The important issue is how much these hot spots<br />
contribute to the total exposure of the average person. This question<br />
has not been answered by scientific studies. In any case, the<br />
statistical relationship between biological toxicant levels and<br />
average toxicant levels in settled dust levels across large areas in<br />
which a person may be exposed are likely to be better than the<br />
relationship between biological levels and a potential high-dose<br />
source of toxicant exposure for a short period of time. Davies et al.<br />
(1990) used this assumption to design a sampling strategy that<br />
collected settled dust "taken over all the exposed floor surface in<br />
the rooms concerned" (thus, the average level was measured in a room)<br />
rather than from small areas in the room, and found a relatively high<br />
statistical relationship with children's blood lead levels<br />
( r = 0.46).<br />
Possibly the best measures of toxicants in settled dust for<br />
exposure assessment purposes are averages of dust measurements taken<br />
repeatedly over time. If one were to repeat sampling over time,<br />
averages across space and time could be obtained. However, most<br />
sampling strategies used in previous studies collected settled dust at<br />
only one point in time. An obvious advantage to cross-sectional (one<br />
time) studies is that they are less expensive than longitudinal<br />
(repeated measures) studies, which require repeated visits to a<br />
dwelling, greater occupant burden, and higher laboratory analysis<br />
costs.<br />
One possible, but untested, approach to strengthening estimates<br />
of time-weighted average dust levels in cross-sectional studies may be<br />
to measure exposure-weighted average levels based on the activity of<br />
the person. This may be done by listing indoor locations where the<br />
person spends time, then roughly estimating the percent of time spent<br />
actively in each location, rounded to a convenient percentage. Samples<br />
can then be composited from the specific areas by adjusting the<br />
subsample areas to be proportional to the percent of time spent in<br />
each area. An exposure-weighted average toxicant dust level could then<br />
be estimated from the result.<br />
Finally, laboratories performing the chemical analysis should be<br />
consulted before settled dust samples are collected. This is<br />
particularly true when collecting composite wipe samples. An excess of<br />
towelette material may present problems during the laboratory<br />
digestion phase of analysis, requiring more reagents and larger<br />
beakers than normally used, and potentially reducing the toxicant<br />
recoveries owing to matrix effects. Similarly, vacuum sampling may<br />
collect more dust than is required for analysis. If this is the case,<br />
techniques need to be employed by the laboratory to ensure that the<br />
fraction of dust analysed represents the whole. Another potential<br />
source of error in the results lies in how the dust is handled after<br />
sampling and prior to analysis. If measurements of lead concentration<br />
in dust are important for the objectives of the study, sampling<br />
methods that present the dust to the laboratory in an easy-to-handle<br />
form should be considered over alternate methods. These issues and<br />
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