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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 />

http://www.inchem.org/documents/ehc/ehc/ehc<strong>214</strong>.htm<br />

Page 148 of 284<br />

6/1/2007

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