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The exposure concentration of PbTx is shown in Figure 4. Our results indicated a large variability of personal samples within each sampling day.
Generalizability of personal samples requires a detailed characterization of the determinants of exposure that allow a model to explain both within-person and between-person variability.
Of the 11,036 samples, 203 duplicate measures of personal samples were excluded because the number of personal silica samples exceeded the total number of workers who were sampled.
In this study we focused on the analysis of personal samples of silica exposure levels measured as an 8-hr TWA measurement among workers in various industries and occupations, and silica levels are expressed as milligrams per cubic meter.
If there were fewer than five samples, the AM of personal samples of this group from all mines of the same type (e.g. potash, salt, trona, or limestone) was used, provided this expanded sample had at least five samples.
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Therefore, microenvironment modeling offers an effective mean of estimating population exposures to these pollutants without the considerable logistical difficulties of personal sampling.
This involved having subjects wear an active personal monitor to measure exposure to air pollutants, and collection of an offline measurement of F eNO at the end of each 24 hr of personal sampling.
The ELISA technique was critical for the analysis of the personal samples because of very low amounts of material collected on the substrates.
Although Cr6+ seemed to be present at low concentrations almost all over the steel melting shop, it exceeded the detection limit of 0.5 µg/m only in some of the personal samples.
The manual surveys of the personal samples revealed that some particles larger than 2.5 μm reached the filter surface.
During the exposure period from 7 to 11 September 2001, a total of 39 personal samples (mean sampling time, 471 min) from both the Siesta and Lido beaches were analyzed.
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