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The Force Medical Project Advanced Concept Technology Demonstration program was established in 1999 to determine the utility of existing and emerging technologies to monitor U.S. military personnel for exposure to toxic chemical substances. The technologies include real-time and non-real-time individual chemical exposure samplers and alarms, and biological detection systems. The demand for such samplers, alarms, and detection systems is evident in Presidential Review Directive 5, Department of Defense Directive 6490.2, Department of Defense Instruction 6940.3, and in a National Academy of Science study entitled "Strategies to Protect the Health of Deployed U.S. Forces". The toxic chemical substances to be monitored include chemical warfare agents (CWAs) and toxic industrial chemicals (TICs). Monitoring exposures to CWAs is the primary objective of the program. Monitoring TIC exposures is viewed as an important, but secondary, benefit of the program.
Benzene, (Bz), [CAS 71-43-2], Aldrich Chemical Company (Milwaukee, WI), 99.0%, A.C.S. Grade, lot no. BU 03051PS.The following analytical reagents were used in analysis of samples.
Ultra Passive Sampler, SKC, Inc. (Eighty Four, PA). A prototype diffusive sampler based on the SKC 575 Series of samplers and containing 300 mg of Tenax TA, lot no. 1665.Non-Project Samplers
Precision and Accuracy
The concentration of standards used for MSD calibration is shown in Table 2. MSD response data obtained over this mass range is shown in Table 3. The combined GC and ATD split was 135 to 1.
The individual RSDs in Table 3 were tested for homogeneity with the Cochran Test and, with the exception of tol-d8 data for std no. 4, found to be homogeneous. The homogeneous RSDs were pooled and the result is shown in Table 3. These pooled RSDs are similar to those obtained for FID calibration data which are typically 1 to 2%. Instrument calibration was not a significant source of analytical error. ![]() Figure 6. Calibration curve for TMB ![]() Figure 7. Total-ion chromatogram for std no. 4.
MSD Detection Limits ![]() Figure 8. Determination of MSD detection limit for TMB ![]() Figure 9. Total-ion chromatogram of the analysis of a standard at approximately the detection limits.
![]() Figure 10. Total-ion chromatogram from the analysis of a blank SKC Ultra sampler
Figure 11. Total-ion chromatogram from the analysis of a blank GoreSorber sampler
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Desorption Efficiency
Average desorption efficiencies for SKC Ultra samplers are shown in Table 5. The mass range studied was 13 to 32 µg for each TIC per sample. Wet samplers were prepared by exposing them to clean, humid air for four hours prior to spiking. Some results from wet samplers were lower than from dry samplers for unknown reasons. These results were not used to correct SKC Ultra sampler results presented in this report because it was assumed that desorption was 100%. This assumption was supported by the fact that a second desorption of several SKC Ultra samples showed no TICs present in significant amounts.
| Table 6 Desorption Efficiency From GoreSorber Samplers (%) |
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| Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |
| dry | 74.7 | 99.2 | 98.3 | 100.1 | 99.7 | 99.8 | 100.8 |
Average desorption efficiencies for GoreSorber samplers are shown in Table 6. The mass range studied was 13 to 30 µg for each TIC per sample. A study using wet samplers was not performed. These results were not used to correct GoreSorber results presented in this report because it was assumed that desorption was 100%. This assumption was again supported by the fact that a second desorption of several GoreSorber samples showed no TICs to be present in significant amounts. The low desorption efficiency obtained for Bz was probably caused by the relatively low affinity of Tenax TA for Bz, and its subsequent loss through the hole punctured in the PTFE-like shell of the cartridge by liquid spiking the sample.
| Table 7 Desorption Efficiency From Anasorb CMS (%) |
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| Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |
| dry | 96.0 | 96.7 | 93.6 | 96.4 | 97.1 | 99.3 | 91.3 |
| wet | 94.2 | 95.8 | 80.4 | 95.2 | 92.7 | 98.3 | 68.6 |
Average desorption efficiencies for the front section (150 mg) of SKC Anasorb CMS sampling tubes are shown in Table 7. The mass range studied was 10 to 165 µg of each TIC per sample. Wet samplers were prepared by drawing clean, humid air through the samplers at 0.1 L/min for four hours prior to spiking. All CMS results presented in this report were corrected using the appropriate desorption efficiency. Results for DDVP desorbed from wet samplers were low and would necessitate use of another solvent or desorption technique in routine analytical work because a minimum recovery of 75% is usually required for NIOSH and OSHA methods. The reason for low DDVP wet results is unknown but could be due to hydrolysis. The low desorption was deemed adequate for this work because samples were analyzed immediately after generation. Results for TCA from wet CMS were lower than from dry CMS, but they were greater than 75% and, therefore, adequate for conditional use.
| Table 8 Desorption Efficiency From SKC 575-002 Samplers (%) |
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| Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |
| dry | 96.6 | 101.5 | 87.7 | 100.0 | 103.9 | 109.4 | inter |
| wet | 94.0 | 95.9 | 47.3 | 94.0 | 95.2 | 100.3 | inter |
| inter=interference | |||||||
Average desorption efficiencies for SKC 575-002 samplers are shown in Table 8. The mass studied was 13 µg of each TIC per sample. Wet samplers were prepared by exposing them to clean, humid air for four hours prior to spiking. All SKC 575-002 samplers in this study were exposed to humid air and, therefore, analytical results were corrected using only the wet desorption efficiencies. A chromatographic interference prevented the analysis of DDVP. This co-eluting interference was identified as cyclohexyl isothiocyanate by GC/MS. The low wet desorption efficiency obtained for TCA would necessitate use of another solvent or desorption technique in routine analytical work, however, it was also deemed adequate for this work because these samples were analyzed immediately after generation.
| Table 9 Desorption Efficiency From 3M 3520 OVM Charcoal Wafers (%) |
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| Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |
| dry | 96.7 | 101.5 | 91.2 | 94.8 | 94.4 | 95.0 | 86.2 |
| wet | 98.1 | 98.2 | 62.1 | 98.0 | 97.4 | 99.9 | 57.4 |
Average desorption efficiencies for 3M 3520 OVM charcoal wafers are shown in Table 9. The mass studied was 26 µg of each TIC per sample. Wet samplers were prepared by exposing them to clean, humid air for four hours prior to spiking. All 3M 3520 OVM samples in this study were exposed to humid air and, therefore, analytical results were corrected using only the wet desorption efficiencies. The low wet desorption efficiencies for TCA and DDVP would necessitate use of another solvent or desorption technique in routine analytical work, however, they were again deemed adequate for this work because these samples were analyzed immediately after generation.
Sampling Rate
Sampling rates were determined by exposing samplers to test atmospheres containing approximately 4 mg/m3 of each TIC (about 1 ppm) for increasing time intervals.
Sampling rates were calculated with the following equation and then converted to mL/min:
ambient sampling rate = average mass collected/(concn of test atm × sampling time)Mass was corrected for desorption efficiency only for SKC 575-002 and 3M 3520 OVM samplers.
Experimental sampling rates were determined at ambient temperature (Tamb) and barometric pressure (Pamb), and were converted to their equivalent at 760 mmHg and 298K with the following equation:
sampling rate760 mmHg, 298K = sampling rateamb(298/Tamb)3/2(Pamb/760)Sampling rates for the components of the TIC mixture were determined for SKC Ultra and GoreSorber project samplers. Sampling rates were also determined for SKC Ultra RSR, PE Tenax TA, PE Chromosorb 106, and PE Carbopack B non-project samplers. They were also determined for the 3M 3520 and SKC 575-002 samplers that were used as controls. DDVP was not thermally desorbed from PE Carbopack B samplers at its recommended maximum desorption temperature. A chromatographic interference that eluted at the same time as DDVP prevented its determination in SKC 575-002 samplers. Relative standard deviations (RSD) were calculated for the three samplers of each type that were exposed for each time interval. RSD was excessive in some cases, but all data were retained because of the small sample size and also to preserve the integrity of precision results. Part of this work was to test and evaluate the analytical method.
| Table 10 Sampling Rate Data for SKC Ultra Samplers |
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| time | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| hours | mL/ min |
RSD | mL/ min |
RSD | mL/ min |
RSD | mL/ min |
RSD | mL/ min |
RSD | mL/ min |
RSD | mL/ min |
RSD |
| 2 | 13.92 | 6.13 | 12.19 | 4.88 | 10.71 | 6.01 | 11.14 | 5.68 | 10.38 | 5.54 | 9.79 | 4.40 | 8.59 | 5.75 |
| 4 | 11.07 | 13.39 | 12.30 | 19.34 | 11.38 | 16.14 | 11.51 | 18.48 | 10.52 | 16.55 | 9.98 | 13.61 | 10.25 | 14.56 |
| 6 | 12.51 | 0.32 | 14.80 | 0.63 | 13.63 | 1.03 | 14.03 | 1.29 | 12.77 | 1.59 | 11.76 | 1.31 | 11.17 | 2.36 |
| 8 | 9.91 | 2.51 | 13.01 | 3.00 | 12.49 | 2.45 | 12.14 | 3.14 | 11.16 | 3.12 | 10.79 | 2.04 | 9.89 | 2.85 |
| 10 | 8.29 | 2.12 | 12.46 | 1.03 | 10.69 | 1.44 | 13.41 | 5.79 | 10.66 | 1.00 | 10.28 | 1.26 | 10.58 | 2.61 |
| 14 | 5.48 | 3.19 | 10.90 | 3.62 | 11.04 | 2.50 | 11.82 | 2.02 | 10.69 | 1.71 | 10.53 | 0.19 | 10.04 | 1.41 |
| Table 11 Sampling Rate Data for GoreSorber Ultra Samplers |
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| time | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| hours | mL/ min |
RSD | mL/ min |
RSD | mL/ min |
RSD | mL/ min |
RSD | mL/ min |
RSD | mL/ min |
RSD | mL/ mi n |
RSD |
| 2 | 9.29 | 7.64 | 23.78 | 4.93 | 21.58 | 5.50 | 21.02 | 5.06 | 19.11 | 4.53 | 21.35 | 4.66 | 22.12 | 6.68 |
| 4 | 4.16 | 6.93 | 19.32 | 11.07 | 19.74 | 14.45 | 18.46 | 13.75 | 16.25 | 12.50 | 18.91 | 13.23 | 21.27 | 15.37 |
| 6 | 1.30 | 13.17 | 20.12 | 12.84 | 20.38 | 14.21 | 19.34 | 15.23 | 16.20 | 15.01 | 19.96 | 12.84 | 21.31 | 17.78 |
| 8 | 0.83 | 3.19 | 11.53 | 8.24 | 15.97 | 4.52 | 15.55 | 4.63 | 13.07 | 3.66 | 18.07 | 2.75 | 21.58 | 1.80 |
| 10 | 0.77 | 14.99 | 7.11 | 26.00 | 13.74 | 6.81 | 12.23 | 9.42 | 9.97 | 12.46 | 15.54 | 8.24 | 21.19 | 6.12 |
| 14 | 0.45 | 11.58 | 6.04 | 13.77 | 10.64 | 8.57 | 10.72 | 8.31 | 9.32 | 9.26 | 14.70 | 8.09 | 18.20 | 6.48 |
| Table 12 Sampling Rate Data for SKC Ultra RSR Samplers |
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| time | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| hours | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD |
| 2 | 6.28 | 5.74 | 5.07 | 6.39 | 4.15 | 6.35 | 4.40 | 6.75 | 4.06 | 7.12 | 3.59 | 5.25 | 2.41 | 6.15 |
| 8 | 5.49 | 17.53 | 4.80 | 21.88 | 4.26 | 19.36 | 4.35 | 25.41 | 3.85 | 21.64 | 3.45 | 2.56 | 2.56 | 25.58 |
| 10 | 4.98 | 4.19 | 4.74 | 2.69 | 4.43 | 2.56 | 4.34 | 2.51 | 3.98 | 2.60 | 3.74 | 3.54 | 3.54 | 6.84 |
| 14 | 4.17 | 4.41 | 2.72 | 20.55 | 4.68 | 7.01 | 4.71 | 8.86 | 4.22 | 5.90 | 3.65 | 3.17 | 3.17 | 6.82 |
| 16 | 3.52 | 0.68 | 3.90 | 3.90 | 3.90 | 4.34 | 3.97 | 2.47 | 3.67 | 2.14 | 3.42 | 3.09 | 3.09 | 3.50 |
| Table 13 Sampling Rate Data for PE Tenax TA Samplers |
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| time | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| hours | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD |
| 2 | 0.51 | 7.77 | 0.50 | 6.00 | 0.43 | 3.23 | 0.44 | 3.45 | 0.42 | 5.59 | 0.38 | 17.44 | 0.43 | 24.74 |
| 4 | 0.42 | 2.74 | 0.48 | 2.86 | 0.45 | 6.03 | 0.45 | 1.21 | 0.41 | 4.03 | 0.36 | 4.56 | 0.34 | 5.98 |
| 6 | 0.46 | 13.28 | 0.46 | 12.86 | 0.41 | 10.80 | 0.39 | 14.64 | 0.37 | 10.50 | 0.32 | 12.07 | 0.25 | 18.50 |
| 8 | 0.46 | 3.01 | 0.50 | 2.26 | 0.48 | 1.85 | 0.45 | 2.17 | 0.42 | 2.00 | 0.38 | 5.26 | 0.35 | 18.49 |
| 10 | 0.45 | 2.35 | 0.50 | 2.76 | 0.48 | 3.20 | 0.45 | 3.47 | 0.42 | 2.52 | 0.39 | 2.46 | 0.38 | 18.84 |
| 14 | 0.42 | 12.57 | 0.45 | 4.44 | 0.42 | 4.08 | 0.41 | 3.39 | 0.38 | 1.98 | 0.35 | 1.30 | 0.32 | 10.94 |
| 16 | 0.46 | 4.07 | 0.47 | 4.59 | 0.46 | 5.03 | 0.44 | 6.06 | 0.39 | 6.58 | 0.37 | 6.31 | 0.30 | 32.28 |
| Table 14 Sampling Rate Data for PE Chromosorb 106 Samplers |
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| time | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| hours | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD |
| 2 | 0.56 | 9.61 | 0.54 | 4.09 | 0.47 | 1.71 | 0.48 | 3.13 | 0.43 | 14.26 | 0.33 | 40.32 | 0.34 | 43.30 |
| 4 | 0.74 | 2.76 | 0.64 | 4.81 | 0.58 | 10.52 | 0.68 | 16.22 | 0.56 | 23.11 | 0.75 | 33.88 | 0.63 | 39.26 |
| 6 | 0.59 | 1.27 | 0.55 | 2.91 | 0.58 | 2.76 | 0.48 | 2.40 | 0.49 | 3.29 | 0.47 | 11.69 | 0.79 | 35.53 |
| 8 | 0.58 | 11.55 | 0.56 | 6.67 | 0.52 | 6.23 | 0.52 | 6.33 | 0.51 | 5.87 | 0.46 | 9.72 | 0.47 | 60.12 |
| 10 | 0.52 | 16.94 | 0.52 | 10.06 | 0.50 | 8.74 | 0.49 | 7.72 | 0.48 | 10.07 | 0.45 | 12.54 | 0.73 | 12.92 |
| 16 | 0.62 | 3.61 | 0.55 | 2.45 | 0.54 | 1.69 | 0.51 | 2.22 | 0.48 | 1.37 | 0.44 | 0.85 | .057 | 6.75 |
| Table 15 Sampling Rate Data for PE Carbopack B Samplers |
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| time | Bz | EtBz | TCA | TMB | LIM | UND | ||||||
| hours | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD |
| 2 | 0.53 | 3.70 | 0.48 | 6.18 | 0.39 | 7.14 | 0.42 | 7.62 | 0.41 | 7.81 | 0.36 | 11.02 |
| 4 | 0.50 | 8.97 | 0.42 | 8.97 | 0.35 | 10.14 | 0.36 | 13.58 | 0.32 | 11.18 | 0.26 | 24.74 |
| 6 | 0.55 | 10.21 | 0.49 | 10.21 | 0.42 | 10.05 | 0.43 | 11.90 | 0.41 | 8.86 | 0.36 | 6.76 |
| 8 | 0.58 | 3.83 | 0.54 | 3.83 | 0.52 | 2.83 | 0.49 | 5.06 | 0.44 | 3.14 | 0.40 | 6.72 |
| 10 | 0.56 | 6.18 | 0.52 | 6.18 | 0.47 | 8.63 | 0.47 | 9.02 | 0.42 | 9.59 | 0.37 | 12.93 |
| 16 | 0.58 | 23.19 | 0.49 | 23.19 | 0.50 | 14.04 | 0.47 | 7.39 | 0.40 | 10.76 | 0.34 | 11.00 |
| DDVP not absorbed at maximum temperature | ||||||||||||
| Table 16 Sampling Rate Data for SKC 575-002 Samplers |
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| time | Bz | EtBz | TCA | TMB | LIM | UND | ||||||
| hours | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD |
| 2 | 19.51 | 3.35 | 14.61 | 2.43 | 19.08 | 6.50 | 13.19 | 3.12 | 11.78 | 3.39 | 10.85 | 4.24 |
| 4 | 17.23 | 1.31 | 14.25 | 0.92 | 18.73 | 1.30 | 12.91 | 1.06 | 10.62 | 0.41 | 10.79 | 0.70 |
| 6 | 17.71 | 0.56 | 13.97 | 2.17 | 18.41 | 1.41 | 11.79 | 4.13 | 10.75 | 4.97 | 10.11 | 6.31 |
| 8 | 17.21 | 5.68 | 13.40 | 6.97 | 17.41 | 4.67 | 11.74 | 4.75 | 10.22 | 5.03 | 10.05 | 5.99 |
| 10 | 17.29 | 3.70 | 14.46 | 1.11 | 15.50 | 2.65 | 13.15 | 0.92 | 11.06 | 0.54 | 10.93 | 1.75 |
| 14 | 17.41 | 2.68 | 14.08 | 2.46 | 17.00 | 3.41 | 12.80 | 2.84 | 10.86 | 2.46 | 10.64 | 2.81 |
| 16 | 17.03 | 3.84 | 14.12 | 5.26 | 17.78 | 5.22 | 13.15 | 5.60 | 11.11 | 6.34 | 10.94 | 6.22 |
| chromatographic interference for DDVP | ||||||||||||
| Table 17 Sampling Rate Data for 3M 3520 OVM Samplers |
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| time | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| hours | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD | mL/ mi n |
RSD |
| 2 | 36.83 | 1.42 | 28.38 | 1.71 | 34.37 | 0.75 | 25.67 | 1.22 | 23.27 | 1.37 | 21.30 | 1.03 | 20.97 | 5.82 |
| 4 | 32.44 | 7.10 | 27.20 | 4.86 | 33.62 | 5.94 | 24.56 | 6.24 | 20.52 | 6.20 | 20.02 | 5.56 | 20.36 | 4.82 |
| 6 | 34.00 | 4.64 | 27.71 | 2.03 | 34.53 | 2.21 | 25.02 | 2.04 | 22.46 | 2.20 | 20.30 | 2.15 | 19.78 | 6.19 |
| 8 | 33.84 | 2.91 | 28.62 | 2.26 | 33.12 | 3.08 | 26.11 | 2.28 | 23.49 | 2.21 | 21.20 | 1.76 | 19.11 | 5.34 |
| 10 | 34.50 | 0.23 | 29.74 | 0.47 | 32.29 | 4.14 | 28.80 | 15.08 | 23.71 | 0.61 | 21.40 | 0.49 | 22.51 | 4.29 |
| 14 | 35.18 | 4.76 | 28.63 | 4.32 | 33.19 | 5.72 | 25.88 | 4.25 | 23.39 | 4.56 | 20.95 | 4.12 | 20.83 | 4.88 |
| 16 | 33.42 | 0.58 | 28.12 | 0.30 | 34.08 | 7.34 | 26.12 | 0.19 | 23.51 | 0.36 | 21.16 | 0.21 | 21.93 | 4.18 |
Average sampling rates were calculated over the time intervals that they were judged to remain relatively constant. RSDs were calculated for these averages. These data are presented in Tables 18-19, together with the time interval range for which sampling rates were averaged. Sampler capacity was not exceeded in most cases. Cases in which sampler capacity was judged to have been exceeded are indicated with an asterisk (*). GoreSorber samplers had insufficient capacity for Bz and were declared not applicable for this TIC.
| Table 18 Sampling Rate Summary |
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| sampler | Bz | EtBz | TCA | TMB | ||||||||
| mL/min | RSD | range | mL/min | RSD | range | mL/min | RSD | range | mL/min | RSD | range | |
| SKC Ultra | 12.5 | 11.4 | 2-6* | 12.4 | 3.1 | 2-10* | 11.3 | 6.1 | 2-14 | 12.0 | 6.5 | 2-14 |
| GoreSorber | NA | 21.1 | 11.3 | 2-6* | 20.6 | 4.5 | 2-6* | 19.6 | 6.6 | 2-6* | ||
| SKC Ultra RSR | 5.9 | 9.5 | 2-8* | 4.9 | 3.6 | 2-10* | 4.4 | 5.3 | 2-14 | 4.5 | 3.9 | 2-14* |
| PE Tenax TA | 0.45 | 6.7 | 2-16 | 0.48 | 4.3 | 2-16 | 0.45 | 6.3 | 2-16 | 0.43 | 5.5 | 2-16 |
| PE Chromosorb 106 | 0.60 | 12.5 | 2-16 | 0.56 | 7.4 | 2-16 | 0.53 | 8.3 | 2-16 | 0.53 | 14.6 | 2-16 |
| PE Carbopack B | 0.55 | 5.6 | 2-16 | 0.49 | 8.4 | 2-16 | 0.44 | 15.0 | 2-16 | 0.44 | 10.8 | 2-16 |
| SKC 575-002 | 17.6 | 4.9 | 2-16 | 14.1 | 2.8 | 2-16 | 17.7 | 6.9 | 2-16 | 12.7 | 5.0 | 2-16 |
| 3M 3520 | 34.3 | 4.1 | 2-16 | 28.3 | 2.8 | 2-16 | 33.6 | 2.4 | 2-16 | 26 | 5.2 | 2-16 |
| NA = not applicable | ||||||||||||
| Table 19 Sampling Rate Summary |
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| sampler | LIM | UND | DDVP | ||||||
| mL/min | RSD | range | mL/min | RSD | range | mL/min | RSD | range | |
| SKC Ultra | 10.8 | 3.0 | 2-14 | 10.5 | 5.3 | 2-14 | 10.1 | 8.6 | 2-14 |
| GoreSorber | 17.2 | 9.7 | 2-6* | 20.1 | 6.1 | 2-6* | 21.5 | 1.8 | 2-10* |
| SKC Ultra RSR | 4.0 | 3.8 | 2-14* | 3.6 | 3.8 | 2-16 | 3.0 | 15.7 | 2-16 |
| PE Tenax TA | 0.40 | 5.3 | 2-16 | 0.36 | 6.5 | 2-16 | 0.34 | 17.0 | 2-16 |
| PE Chromosorb 106 | 0.49 | 8.7 | 2-16 | 0.48 | 29.0 | 2-16 | 0.59 | 28.3 | 2-16 |
| PE Carbopack B | 0.40 | 10.4 | 2-16 | 0.35 | 13.6 | 2-16 | NA | ||
| SKC 575-002 | 10.9 | 4.4 | 2-16 | 10.6 | 3.6 | 2-16 | NA | ||
| 3M 3520 | 22.9 | 4.9 | 2-16 | 20.9 | 2.6 | 2-16 | 20.8 | 5.7 | 2-16 |
| NA = not applicable | |||||||||
Sampling rates for SKC Ultra and SKC 575-002 samplers should be similar providing the sampling medium is adequate. This is because the SKC Ultra sampler design is based on the SKC 575 Series of samplers. The main difference is that the SKC Ultra sampler contains Tenax TA and the SKC 575-002 sampler contains carbon-based Anasorb 747. The greatest disagreements are for Bz and TCA, and to a lesser degree, EtBz. Bz and EtBz differences are due to low affinity of Tenax TA for Bz and EtBz as evidenced by the reverse diffusion experiment results presented in Table 25. The reason for the TCA difference is unknown, but the presence of water may be a contributing factor. Comparison of sampling rates was excellent for TMB, LIM, and UND. These results indicate that Tenax TA is not suitable for more volatile TICs.
Sampling rates for PE Tenax TA, PE Chromosorb 106, and PE Carbopack B samplers should also be similar if the sampling medium is adequate. The only difference in these samplers is the sampling medium. Except for Bz, PE Tenax TA and PE Carbopack B sampling rates were similar. The difference for Bz is due to the low affinity of Tenax TA for Bz. Sampling rates for PE Chromosorb 106 samplers were higher than were the other two for unknown reasons.
Sampling rates for some TICs and some of the samplers tested in this report are published in the literature9 and are presented in Table 20 for comparison with those obtained in this current work (CW). Literature (Lit) values cited in Table 20 for SKC 575-001/2 samplers were determined for the SKC 575-001 sampler which is similar to the SKC 575-002 sampler tested in this study. The difference is that the SKC 575-001 sampler contains 350 mg of coconut-shell charcoal and the SKC 575-002 sampler contains 500 mg of Anasorb 747. The 3M 3500 OVM is similar to the 3M 3520 OVM, except the 3M 3520 OVM contains two charcoal wafers. Lit sampling rates cited in Table 20 for PE samplers were obtained using diffusive sampling caps without membranes. It is interesting to note that Lit Chromosorb (Chrom) 106 sampling rates are higher than those for Tenax TA which generally supports results obtained in this work. Blank spaces in Table 20 mean that no Lit data were found. Except for TCA, the comparison of sampling rates is quite good.
| Table 20 Sampling Rates Comparison (mL/min) |
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| sampler | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| CW | Lit | CW | Lit | CW | Lit | CW | Lit | CW | Lit | CW | Lit | CW | Lit | |
| SKC 575-001/2 | 17.6 | 16.0 | 14.1 | 12.9 | 17.7 | 11.8 | 12.7 | 12.1 | 10.9 | 11.4 | 10.6 | |||
| 3M 3500/20 | 34.3 | 35.5 | 28.3 | 27.3 | 33.6 | 28.4 | 26.0 | 26.3 | 22.9 | 21.9 | 20.9 | 20.8 | ||
| PE Tenax TA | 0.45 | 0.41 | 0.48 | 0.46 | 0.45 | 0.43 | 0.45 | 0.40 | 0.36 | 0.34 | ||||
| PE Chrom 106 | 0.60 | 0.54 | 0.56 | 0.56 | 0.53 | 0.53 | 0.47 | 0.49 | 0.48 | 0.59 | ||||
Control samplers were employed to test some of the practices used in this work. If the test atmosphere generation apparatus was functioning properly, and if concentrations of the test atmospheres were correctly known, then sampling rates for control samplers should be in agreement (within experimental error) with those previously determined.
| Table 21 Control Sampler Comparison |
|||||
| Bz | EtBz | TCA | TMB | LIM | |
| Lit | |||||
| 575-002 | 90.9 | 91.5 | 66.7 | 95.3 | 104.6 |
| 3M 3520 | 103.5 | 96.5 | 84.5 | 101.2 | 95.6 |
| OSHA | |||||
| 575-002 | 97.2 | 105.0 | |||
| 3M 3520 | 100.0 | ||||
OSHA SLTC has previously determined Bz sampling rates for SKC 575-002 and 3M 3520 samplers10. They were 17.1 and 34.3 mL/min, respectively. OSHA SLTC has also determined the EtBz sampling rate for SKC 575-002 samplers to be 13.8 mL/min11.
Lit values from Table 20 were divided by CW values for the Lit comparison, and values determined from previous work were divided by CW values for the OSHA comparison. Both comparisons are presented in terms of percent in Table 21. No comparison data were available for UND and DDVP. Except for TCA, the agreement between Lit, OSHA , and CW sampling rates for TICs that were tested is good. Low desorption efficiency from wet carbon-based sampling media obtained in this work is a possible reason for the TCA difference. Many laboratories do not investigate desorption from wet media. Low desorption would cause the calculated sampling rate to increase because analytically determined mass would also increase.
The overall good comparison of sampling rates for control samplers with sampling rates available in the literature values support the techniques used to in this work.
Long-Term Sampling Capacity
The possibility of long-term sampling was investigated by exposing 21 each SKC Ultra, GoreSorber, and PE Tenax TA samplers to a test atmosphere containing approximately 0.4 mg/m3 of each TIC (about 0.1 ppm) for up to 54 hours. Three of each type of sampler was removed for analysis at approximately eight-hour intervals. Results in terms of sampling rates for the long-term sampling experiment are shown in Tables 22-24.
|
Table 22 Long-Term Sampling Experiment for SKC Ultra Samplers |
||||||||||||||
| time | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| hours | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD |
| 7.23 | 11.29 | 3.76 | 14.45 | 16.07 | 12.45 | 2.60 | 12.91 | 3.02 | 14.96 | 26.93 | 11.31 | 1.52 | 11.65 | 2.75 |
| 15.55 | 8.26 | 7.89 | 14.01 | 17.91 | 11.97 | 3.63 | 11.82 | 6.52 | 9.96 | 6.58 | 9.34 | 5.61 | 12.47 | 4.48 |
| 23.57 | 7.98 | 5.32 | 11.83 | 3.19 | 11.64 | 6.14 | 11.51 | 2.12 | 8.99 | 1.52 | 9.21 | 1.63 | 13.08 | 1.34 |
| 30.23 | 6.36 | 5.09 | 12.20 | 5.38 | 12.17 | 2.12 | 11.96 | 1.65 | 9.66 | 1.56 | 10.03 | 0.55 | 13.25 | 1.79 |
| 39.40 | 4.92 | 3.26 | 10.99 | 10.67 | 11.07 | 7.15 | 10.94 | 10.85 | 8.81 | 8.53 | 9.32 | 6.70 | 11.28 | 6.93 |
| 47.68 | 4.30 | 5.89 | 10.97 | 3.17 | 11.64 | 0.88 | 10.88 | 0.95 | 8.37 | 1.67 | 9.36 | 1.34 | 11.04 | 2.72 |
| 53.77 | 3.69 | 4.82 | 10.38 | 5.90 | 11.19 | 4.67 | 10.58 | 4.87 | 8.27 | 4.52 | 9.02 | 3.98 | 11.03 | 3.98 |
|
Table 23 Long-Term Sampling Experiment for GoreSorber Samplers |
||||||||||||||
| time | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| hours | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD |
| 7.23 | 4.50 | 7.35 | 22.77 | 3.21 | 22.15 | 3.73 | 21.13 | 3.44 | 17.93 | 3.70 | 22.06 | 3.46 | 21.08 | 1.96 |
| 15.55 | 0.54 | 43.98 | 19.71 | 1.97 | 20.63 | 3.56 | 19.46 | 3.31 | 14.84 | 2.88 | 20.24 | 3.68 | 23.55 | 5.57 |
| 23.57 | 1.16 | 27.47 | 16.99 | 9.48 | 19.33 | 6.16 | 18.51 | 7.30 | 14.02 | 8.88 | 19.75 | 5.92 | 24.97 | 5.37 |
| 30.23 | 0.45 | 24.02 | 13.77 | 2.65 | 16.60 | 6.53 | 16.40 | 7.96 | 12.20 | 7.74 | 17.78 | 9.78 | 22.30 | 12.06 |
| 39.40 | 0.30 | 7.26 | 11.49 | 3.73 | 14.63 | 3.16 | 14.59 | 3.82 | 11.13 | 4.02 | 16.46 | 2.32 | 19.90 | 4.00 |
| 47.68 | 0.52 | 16.70 | 9.67 | 7.87 | 14.32 | 5.92 | 13.48 | 6.63 | 10.09 | 4.16 | 15.88 | 4.71 | 20.33 | 7.00 |
| 53.77 | 0.31 | 18.75 | 7.56 | 9.26 | 12.08 | 2.30 | 12.06 | 2.46 | 9.03 | 3.72 | 14.40 | 1.45 | 19.43 | 3.62 |
|
Table 24 Long-Term Sampling Experiment for PE Tenax TA Samplers |
||||||||||||||
| time | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| hours | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD |
| 7.23 | 0.49 | 0.00 | 0.57 | 5.41 | 0.53 | 0.00 | 0.56 | 0.00 | 0.54 | 0.00 | 0.51 | 0.00 | 0.44 | 0.00 |
| 15.55 | 0.47 | 2.79 | 0.56 | 5.33 | 0.51 | 5.97 | 0.49 | 3.15 | 0.48 | 5.88 | 0.32 | 0.00 | 0.37 | 16.88 |
| 23.57 | 0.37 | 4.42 | 0.48 | 3.23 | 0.49 | 3.89 | 0.45 | 4.17 | 0.41 | 10.34 | 0.39 | 4.17 | 0.48 | 14.43 |
| 30.23 | 0.35 | 6.44 | 0.50 | 3.88 | 0.51 | 5.53 | 0.47 | 7.56 | 0.41 | 3.33 | 0.40 | 6.67 | 0.42 | 21.17 |
| 39.40 | 0.36 | 3.67 | 0.46 | 6.45 | 0.48 | 7.40 | 0.42 | 9.31 | 0.37 | 13.09 | 0.36 | 5.71 | 0.38 | 1.84 |
| 47.68 | 0.32 | 3.20 | 0.47 | 2.94 | 0.54 | 4.22 | 0.48 | 3.76 | 0.41 | 4.84 | 0.36 | 0.00 | 0.49 | 4.46 |
| 53.77 | 0.32 | 4.55 | 0.46 | 6.66 | 0.52 | 6.92 | 0.45 | 6.35 | 0.41 | 6.33 | 0.35 | 9.58 | 0.51 | 14.73 |
Results for the long-term sampling experiment are shown graphically in Figures 12-14. The data show that sampling rates for most TICs generally decrease over the extended sampling time. The decrease is probably due to reverse diffusion and to exceeded sampling capacity. The decrease for SKC Ultra samplers is most severe for Bz, then LIM, and then EtBz. Sampling rates for other TICs all decrease, but at a much slower rate. The GoreSorber sampler has almost no capacity for Bz. Sampling rate decrease for GoreSorber samplers is severe for all the tested TICs, except DDVP. Sampling rate decrease for PE Tenax TA samplers is most severe for Bz, then LIM, and then EtBz.

Figure 12. Long-term sampling experiment for SKC Ultra samplers.

Figure 13. Long-term sampling experiment for GoreSorber samplers.

Figure 14. Long-term sampling experiment for PE Tenax TA samplers
Long-term sampling capacity for a particular sampler depends on the concentration of TIC in the sampled atmosphere and on the affinity of the sampling medium for that TIC. Sampling error will increase as sampling time increases because almost all sampling rates for the tested TICs were observed to decrease with increasing time. Inspection of the graphed data shows that long-term sampling for Bz is not appropriate with either SKC Ultra or GoreSorber samplers.
Reverse Diffusion
Results in Table 25 are expressed as TIC retention by samplers that were exposed to contaminated air for four hours and then additionally to clean air for four hours, compared to samplers exposed only to contaminated air for four hours. Loss greater than 10% (90% retention) is considered to be significant. These results show that Tenax TA is not a good sampling medium for Bz, and that reverse diffusion must be considered when setting maximum sampling times for other TICs.
|
Table 25 Reverse Diffusion (percent retention) |
|||||||
| sampler | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| SKC Ultra | 56.9 | 88.9 | 97.5 | 95.8 | 96.3 | 95.6 | 100 |
| GoreSorber | 0 | 74.3 | 85.3 | 91.6 | 89.8 | 95.0 | 100 |
| PE Tenax TA | 87.7 | 96.7 | 96.9 | 99.2 | 99.1 | 99.5 | 100 |
Storage Stability
Sampling rates used to calculate storage stability sample results were taken from Tables 18-19 and were converted to their equivalents at sampling site temperature and pressure. Results from the three samples analyzed on the designated days are presented as percent of the concentrations of the test atmosphere. GoreSorber sampler results for Bz on Day 0 and subsequent samples were very low, less than 25% of the expected mass, and are not presented because no meaningful recovery data could be calculated. Storage stability data were examined statistically, and those results are presented following graphical representation of the storage data.
|
Table 26 Ambient Temperature Storage Stability for SKC Ultra Samplers |
||||||||||||
| day | Bz | EtBz | TCA | TMB | ||||||||
| 0 | 93.8 | 96.1 | 98.4 | 101.7 | 106.6 | 109.8 | 106.1 | 109.9 | 113.4 | 100.6 | 104.6 | 108.3 |
| 4 | 71.8 | 79.1 | 85.2 | 104.5 | 104.6 | 109.2 | 107.2 | 105.1 | 111.4 | 98.9 | 98.5 | 104.2 |
| 8 | 74.4 | 94.2 | 79.7 | 112.9 | 111.2 | 109.0 | 112.4 | 112.3 | 109.7 | 113.2 | 115.3 | 114.3 |
| 11 | 59.7 | 81.3 | 82.4 | 103.9 | 106.5 | 117.0 | 77.1 | 108.3 | 112.5 | 103.9 | 108.0 | 115.0 |
| 16 | 49.7 | 55.7 | 46.4 | 100.8 | 98.3 | 85.6 | 104.9 | 97.8 | 90.0 | 106.9 | 100.1 | 89.2 |
| 23 | 50.8 | 55.3 | 50.7 | 97.1 | 94.3 | 102.2 | 97.5 | 93.4 | 97.6 | 101.4 | 97.3 | 102.5 |
| Table 26
(Continued) Ambient Temperature Storage Stability for SKC Ultra Samplers |
|||||||||
| day | LIM | UND | DDVP | ||||||
| 0 | 105.9 | 110.4 | 113.7 | 102.0 | 107.5 | 109.9 | 111.8 | 115.0 | 120.5 |
| 4 | 104.8 | 103.5 | 110.2 | 103.1 | 101.0 | 106.7 | 106.4 | 106.0 | 112.0 |
| 8 | 114.2 | 114.9 | 114.4 | 107.6 | 108.9 | 108.3 | 134.7 | 132.6 | 129.7 |
| 11 | 107.0 | 110.2 | 116.5 | 83.7 | 106.9 | 112.0 | 129.4 | 130.2 | 142.1 |
| 16 | 109.2 | 102.8 | 95.1 | 104.5 | 97.7 | 90.8 | 122.4 | 114.3 | 104.6 |
| 23 | 101.2 | 96.9 | 102.8 | 97.1 | 95.3 | 99.4 | 114.1 | 119.0 | 118.8 |
|
Table 27 Refrigerated Temperature Storage Stability for SKC Ultra Samplers |
||||||||||||
| day | Bz | EtBz | TCA | TMB | ||||||||
| 0 | 93.8 | 96.1 | 98.4 | 101.7 | 106.6 | 109.8 | 106.1 | 109.9 | 113.4 | 100.6 | 104.6 | 108.3 |
| 4 | 106.4 | 95.6 | 103.4 | 121.0 | 109.4 | 119.9 | 114.0 | 102.3 | 112.1 | 112.5 | 102.1 | 114.0 |
| 8 | 106.4 | 100.6 | 104.9 | 113.8 | 108.2 | 110.3 | 115.5 | 108.6 | 112.1 | 116.6 | 108.9 | 114.4 |
| 11 | 105.2 | 101.3 | 102.2 | 118.2 | 120.7 | 111.8 | 118.0 | 115.4 | 112.1 | 117.4 | 116.2 | 111.5 |
| 16 | 96.8 | 101.2 | 89.6 | 111.2 | 105.8 | 93.5 | 108.9 | 109.6 | 96.3 | 109.5 | 109.9 | 96.8 |
| 23 | 91.9 | 97.2 | 98.1 | 101.5 | 108.0 | 112.9 | 100.8 | 105.6 | 102.1 | 100.9 | 107.0 | 113.0 |
|
Table 27 (Continured) Refrigerated Temperature Storage Stability for SKC Ultra Samplers |
|||||||||
| day | LIM | UND | DDVP | ||||||
| 0 | 105.9 | 110.4 | 113.7 | 102.0 | 107.5 | 109.9 | 111.8 | 115.0 | 120.5 |
| 4 | 116.8 | 106.8 | 115.4 | 110.3 | 103.4 | 109.7 | 112.6 | 104.1 | 114.5 |
| 8 | 117.2 | 111.5 | 114.9 | 108.9 | 105.1 | 106.4 | 128.5 | 124.1 | 126.8 |
| 11 | 119.5 | 118.6 | 113.3 | 112.9 | 112.3 | 107.2 | 137.4 | 140.0 | 122.4 |
| 16 | 126.2 | 126.6 | 111.6 | 107.4 | 105.2 | 94.9 | 123.0 | 121.4 | 106.2 |
| 23 | 104.6 | 107.3 | 111.5 | 99.7 | 100.7 | 104.8 | 115.8 | 119.2 | 123.7 |

Figure 15. Ambient temperature storage stability test for SKC Ultra samplers

Figure 16. Refrigerated temperature storage stability test for SKC Ultra samplers.
SEER (standard error of estimate) is defined as the dispersion of data about the regression line for the plotted storage data, and it is mathematically similar to standard deviation for a data set. SEEp is the pooled RSD of the numerical values for SEER and sampling rate variation (Table 41). SEEp is multiplied by 1.96 to calculate the 95% confidence interval (conf int) for the storage test.
|
Table 28 Statistical Data for SKC Ultra Sampler Ambient Temperature Storage Stability Test |
||||
| TIC | equation of line | SEER(±%) | SEEp (±%) | 95% conf int (%) |
| Bz | Y = -1.99X + 93.0 | 9.31 | 13.56 | 26.6 |
| EtBz | Y = -0.511X + 109.5 | 6.42 | 11.77 | 23.1 |
| TCA | Y = -0.697X + 110.9 | 8.31 | 12.89 | 25.3 |
| TMB | Y = -0.230X + 106.9 | 6.97 | 12.07 | 23.7 |
| LIM | Y = -0.439X + 112.0 | 5.41 | 11.25 | 22.0 |
| UND | Y = -0.452X + 107.0 | 6.64 | 11.89 | 23.3 |
| DDVP | Y = 0.0865X + 119.3 | 11.16 | 14.89 | 29.2 |
|
Table 29 Statistical Data for SKC Ultra Sampler Refrigerated Temperature Storage Stability Test |
||||
| TIC | equation of line | SEER(±%) | SEEp (±%) | 95% conf int (%) |
| Bz | Y = -0.162X + 101.1 | 4.94 | 11.03 | 21.6 |
| EtBz | Y = -0.197X + 112.3 | 7.23 | 12.23 | 24.0 |
| TCA | Y = -0.334X + 112.5 | 5.38 | 11.23 | 22.0 |
| TMB | Y = -0.0262X + 109.4 | 6.25 | 11.67 | 22.9 |
| LIM | Y = 0.0356X + 113.6 | 6.43 | 11.77 | 23.1 |
| UND | Y = -0.257X + 108.7 | 4.31 | 10.76 | 21.1 |
| DDVP | Y = 0.217X + 118.1 | 9.54 | 13.72 | 26.9 |
|
Table 30 Ambient Temperature Storage Stability for GoreSorber Samplers |
||||||||||||||||||
| day | EtBz | TCA | TMB | LIM | UND | DDVP | ||||||||||||
| 0 | 94.3 | 98.3 | 96.3 | 97.5 | 100.0 | 98.5 | 101.0 | 103.5 | 103.1 | 97.3 | 99.4 | 100.7 | 100.3 | 101.8 | 100.9 | 112.5 | 115.9 | 113.0 |
| 4 | 98.7 | 95.7 | 85.2 | 108.2 | 101.4 | 87.2 | 105.0 | 98.9 | 89.7 | 103.9 | 95.7 | 80.3 | 117.2 | 108.8 | 96.7 | 132.5 | 119.7 | 106.7 |
| 8 | 88.2 | 88.5 | 82.0 | 88.4 | 91.1 | 83.6 | 92.4 | 95.4 | 85.5 | 88.9 | 91.5 | 80.4 | 94.9 | 96.5 | 88.3 | 112.4 | 119.2 | 110.4 |
| 11 | 88.6 | 87.2 | 80.9 | 91.5 | 90.6 | 82.8 | 93.7 | 93.9 | 85.0 | 91.3 | 90.5 | 81.4 | 96.8 | 95.0 | 88.9 | 124.2 | 123.0 | 125.6 |
| 16 | 83.4 | 90.2 | 72.4 | 82.7 | 91.8 | 71.5 | 87.5 | 95.5 | 73.3 | 82.2 | 90.9 | 71.4 | 89.2 | 99.8 | 79.1 | 100.2 | 120.4 | 88.3 |
| 23 | 77.5 | 80.2 | 77.7 | 79.8 | 83.3 | 79.7 | 84.2 | 85.0 | 84.2 | 78.6 | 83.3 | 80.5 | 89.5 | 94.0 | 89.5 | 106.7 | 106.8 | 100.6 |
|
Table 31 Refrigerated Temperature Storage Stability for GoreSorber Samplers |
||||||||||||||||||
| day | EtBz | TCA | TMB | LIM | UND | DDVP | ||||||||||||
| 0 | 94.3 | 98.3 | 96.3 | 97.5 | 100.0 | 98.5 | 101.0 | 103.5 | 103.1 | 97.3 | 99.4 | 100.7 | 100.3 | 101.8 | 100.9 | 112.5 | 115.9 | 113.0 |
| 4 | 99.5 | 91.7 | 96.8 | 102.4 | 92.0 | 100.3 | 102.4 | 89.8 | 99.0 | 100.1 | 84.2 | 96.0 | 105.9 | 99.9 | 104.1 | 111.4 | 104.7 | 111.9 |
| 8 | 83.6 | 88.1 | 92.2 | 84.3 | 89.2 | 94.1 | 86.0 | 92.1 | 98.9 | 84.8 | 89.8 | 98.4 | 89.2 | 92.8 | 98.4 | 102.2 | 106.9 | 117.1 |
| 11 | 89.5 | 91.4 | 90.7 | 91.2 | 94.1 | 94.2 | 93.1 | 96.3 | 96.6 | 91.2 | 94.3 | 94.6 | 92.9 | 98.2 | 99.0 | 112.7 | 120.3 | 123.6 |
| 16 | 87.6 | 90.2 | 101.4 | 89.9 | 93.3 | 111.8 | 92.6 | 96.0 | 105.6 | 92.0 | 95.6 | 114.5 | 94.7 | 97.9 | 124.5 | 110.0 | 115.8 | 138.2 |
| 23 | 81.5 | 87.7 | 86.9 | 85.0 | 91.8 | 88.0 | 85.3 | 93.2 | 91.9 | 94.9 | 94.0 | 91.6 | 90.6 | 99.4 | 95.9 | 105.8 | 111.3 | 100.2 |

Figure 17. Ambient temperature storage stability test for GoreSorber samplers

Figure 18. Refrigerated temperature storage stability test for goreSorber samplers
|
Table 32 Statistical Data for GoreSorber Sampler Ambient Temperature Storage Stability Test |
||||
| TIC | equation of line | SEER(±%) | SEEp (±%) | 95% conf int (%) |
| EtBz | Y = -0.785X + 95.1 | 4.83 | 18.34 | 35.9 |
| TCA | Y = -0.875X + 98.5 | 6.38 | 18.81 | 36.9 |
| TMB | Y = -0.803X + 100.3 | 5.88 | 18.64 | 36.5 |
| LIM | Y = -0.794X + 96.4 | 6.66 | 18.90 | 37.0 |
| UND | Y = -0.640X + 102.6 | 7.13 | 19.07 | 37.4 |
| DDVP | Y = -0.600X + 119.4 | 9.97 | 20.31 | 39.8 |
|
Table 33 Statistical Data for GoreSorber Sampler Refrigerated Temperature Storage Stability Test |
||||
| TIC | equation of line | SEER(±%) | SEEp (±%) | 95% conf int (%) |
| EtBz | Y = -0.403X + 95.7 | 4.54 | 18.26 | 35.8 |
| TCA | Y = -0.326X + 97.7 | 6.38 | 18.81 | 36.9 |
| TMB | Y = -0.373X + 99.8 | 5.31 | 18.47 | 36.2 |
| LIM | Y = -0.155X + 96.2 | 7.23 | 19.11 | 37.5 |
| UND | Y = -0.132X + 100.6 | 7.87 | 19.36 | 37.9 |
| DDVP | Y = -0.0452X + 113.4 | 8.96 | 19.83 | 38.9 |
|
Table 34 Ambient Temperature Storage Stability for PE Tenax TA Samplers |
||||||||||||
| day | Bz | EtBz | TCA | TMB | ||||||||
| 0 | 110.8 | 112.4 | 110.8 | 97.0 | 102.1 | 98.7 | 96.7 | 91.4 | 89.7 | 88.1 | 103.7 | 105.7 |
| 5 | 107.5 | 102.5 | 115.7 | 108.7 | 112.1 | 112.1 | 123.1 | 117.8 | 119.6 | 123.3 | 125.3 | 133.1 |
| 9 | 109.1 | 94.2 | 110.8 | 105.4 | 103.7 | 107.1 | 102.0 | 98.5 | 100.2 | 117.4 | 105.7 | 107.6 |
| 14 | 107.5 | 107.5 | 90.9 | 117.1 | 105.4 | 88.7 | 112.5 | 110.8 | 93.2 | 105.7 | 113.5 | 86.1 |
| 21 | 99.2 | 110.8 | 104.1 | 100.4 | 107.1 | 93.7 | 103.8 | 110.8 | 89.7 | 113.5 | 117.4 | 97.9 |
| 26 | 94.2 | 104.1 | 104.1 | 97.0 | 107.1 | 100.4 | 110.8 | 112.5 | 107.3 | 105.7 | 113.5 | 107.6 |
|
Table 34 (Continued) Ambient Temperature Storage Stability for PE Tenax TA Samplers |
|||||||||
| day | LIM | UND | DDVP | ||||||
| 0 | 93.7 | 95.8 | 112.9 | 105.6 | 110.3 | 103.3 | 92.0 | 99.4 | 84.5 |
| 5 | 117.1 | 121.4 | 123.5 | 110.3 | 115.0 | 131.4 | 67.1 | 106.9 | 116.8 |
| 9 | 112.9 | 119.2 | 119.2 | 105.6 | 103.3 | 105.6 | 87.0 | 96.9 | 116.8 |
| 14 | 129.9 | 100.1 | 91.6 | 117.4 | 124.4 | 105.6 | 89.5 | 106.9 | 96.9 |
| 21 | 108.6 | 115.0 | 91.6 | 103.3 | 119.7 | 103.3 | 129.2 | 94.4 | 111.8 |
| 26 | 93.7 | 110.7 | 102.2 | 119.7 | 122.1 | 110.3 | 101.9 | 87.0 | 54.7 |
|
Table 35 Refrigerated Temperature Storage Stability for PE Tenax TA Samplers |
||||||||||||
| day | Bz | EtBz | TCA | TMB | ||||||||
| 0 | 110.8 | 112.4 | 110.8 | 97.0 | 102.1 | 98.7 | 96.7 | 91.4 | 89.7 | 88.1 | 103.7 | 105.7 |
| 5 | 114.1 | 107.5 | 109.1 | 108.7 | 110.4 | 113.8 | 116.1 | 114.3 | 117.8 | 119.4 | 113.5 | 121.3 |
| 9 | 100.8 | 112.4 | 115.7 | 107.1 | 115.4 | 112.1 | 100.2 | 103.8 | 116.1 | 113.5 | 131.1 | 119.4 |
| 14 | 124.0 | 119.0 | 104.1 | 110.4 | 118.8 | 102.1 | 116.1 | 112.5 | 98.5 | 117.4 | 123.3 | 111.6 |
| 21 | 119.0 | 107.5 | 104.1 | 110.4 | 105.4 | 110.4 | 107.3 | 110.8 | 105.5 | 105.7 | 103.7 | 117.4 |
| 26 | 104.1 | 99.2 | 92.6 | 107.1 | 100.4 | 105.4 | 112.5 | 98.5 | 109.0 | 111.6 | 103.7 | 113.5 |
|
Table 35 (Continued) Refrigerated Temperature Storage Stability for PE Tenax TA Samplers |
|||||||||
| day | LIM | UND | DDVP | ||||||
| 0 | 93.7 | 95.8 | 112.9 | 105.6 | 110.3 | 103.3 | 92.0 | 99.4 | 84.5 |
| 5 | 104.3 | 110.7 | 123.5 | 124.4 | 110.3 | 117.4 | 109.4 | 109.4 | 101.9 |
| 9 | 117.1 | 136.3 | 136.3 | 112.7 | 115.0 | 115.0 | 124.3 | 114.3 | 99.4 |
| 14 | 115.0 | 123.5 | 112.9 | 110.3 | 126.8 | 103.3 | 96.9 | 111.8 | 104.4 |
| 21 | 110.7 | 106.5 | 108.6 | 112.7 | 100.9 | 108.0 | 96.9 | 89.5 | 119.3 |
| 26 | 115.0 | 102.2 | 112.9 | 122.1 | 103.3 | 105.6 | 134.2 | 141.7 | 64.6 |

Figure 19. Ambient temperature storage stability test for Pe tenax TA samplers

Figure 20. Refrigerated temperature storage stability test for PE Tenax TA samplers
|
Table 36 Statistical Data for PE Tenax TA Samplers Ambient Temperature Storage Stability Test |
||||
| TIC | equation of line | SEER(±%) | SEEp (±%) | 95% conf int (%) |
| Bz | Y = -0.350X + 109.7 | 6.30 | 13.60 | 26.7 |
| EtBz | Y = -0.130X + 105.2 | 7.18 | 14.03 | 27.5 |
| TCA | Y = 0.205X + 102.5 | 10.61 | 16.06 | 31.5 |
| TMB | Y = -0.0515X + 110.1 | 12.26 | 17.19 | 33.7 |
| LIM | Y = -0.293X + 112.5 | 12.23 | 17.17 | 33.7 |
| UND | Y = 0.195X + 109.6 | 8.69 | 14.86 | 29.1 |
| DDVP | Y = -0.0711 X + 97.5 | 18.34 | 21.94 | 43.0 |
|
Table 37 Statistical Data for PE Tenax TA Sampler Refrigerated Temperature Storage Stability Test |
||||
| TIC | equation of line | SEER(±%) | SEEp (±%) | 95% conf int (%) |
| Bz | Y = -0.333X + 113.5 | 7.39 | 14.14 | 27.7 |
| EtBz | Y = 0.0716X + 106.6 | 6.04 | 13.48 | 26.4 |
| TCA | Y = 0.247X + 103.4 | 8.86 | 14.96 | 29.3 |
| TMB | Y = 0.0663X + 111.6 | 10.01 | 15.67 | 30.7 |
| LIM | Y = 0.0485X + 112.6 | 11.88 | 16.92 | 33.2 |
| UND | Y = -0. 0813X + 112.5 | 7.77 | 14.34 | 28.1 |
| DDVP | Y = 0.435X + 99.8 | 18.27 | 21.89 | 42.9 |
Storage tests showed good stability for all TICs on the three tested samplers, except for Bz stored at 40°C on SKC Ultra samplers. The observed loss of Bz was probably due to physical loss, and not to chemical instability. Bz was not retained by the GoreSorber sampler and, therefore, was not tested. The stability data were not as precise as that obtained in other OSHA SLTC work performed with different diffusive samplers containing carbon-based sampling media. The overall SEER for those tests was about 3%, compared to the 9% obtained in this work.
Factor Test
The results of the factor test are shown in Tables 38-40. RSDs for the three samplers exposed for each test are presented for information. RSDs were also calculated for the averaged sampling rates.
|
Table 38 Factor Test Results for SKC Ultra Samplers |
||||||||||||||
| test | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | |
| 1 | 13.17 | 2.82 | 13.83 | 2.02 | 13.53 | 2.09 | 13.94 | 2.00 | 13.01 | 2.03 | 11.51 | 1.98 | 11.60 | 1.49 |
| 2 | 16.33 | 1.82 | 13.13 | 0.89 | 13.58 | 1.17 | 15.17 | 0.46 | 13.30 | 9.68 | 10.14 | 9.38 | 16.22 | 3.79 |
| 3 | 18.24 | 4.49 | 15.90 | 3.79 | 12.84 | 2.77 | 15.23 | 1.40 | 15.34 | 2.60 | 12.30 | 3.49 | 11.83 | 2.87 |
| 4 | 11.07 | 2.14 | 12.16 | 0.77 | 11.14 | 1.86 | 11.89 | 1.29 | 12.23 | 1.96 | 10.69 | 1.62 | 11.15 | 2.52 |
| 5 | 12.99 | 7.53 | 11.74 | 11.45 | 12.64 | 8.81 | 11.43 | 8.94 | 11.45 | 8.94 | 10.49 | 7.65 | 11.49 | 9.61 |
| 6 | 15.86 | 3.84 | 14.36 | 2.34 | 12.71 | 3.31 | 13.28 | 2.17 | 12.65 | 1.46 | 11.01 | 0.64 | 11.37 | 9.02 |
| 7 | 15.17 | 0.94 | 12.42 | 6.25 | 10.86 | 3.85 | 12.84 | 2.88 | 13.08 | 3.06 | 11.16 | 1.26 | 11.13 | 3.97 |
| 8 | 9.68 | 15.07 | 14.22 | 12.24 | 13.46 | 13.74 | 15.18 | 14.61 | 13.85 | 12.30 | 13.45 | 11.89 | 12.18 | 12.85 |
| 9 | 16.37 | 6.33 | 15.09 | 12.25 | 12.67 | 11.79 | 14.10 | 7.93 | 13.27 | 7.98 | 10.84 | 17.64 | 11.63 | 9.75 |
| 10 | 18.56 | 3.43 | 15.60 | 6.28 | 12.94 | 5.98 | 14.93 | 4.06 | 14.08 | 4.13 | 11.70 | 6.90 | 12.83 | 2.81 |
| 11 | 10.91 | 3.20 | 13.54 | 5.19 | 12.34 | 19.07 | 12.87 | 5.00 | 9.74 | 5.00 | 10.63 | 2.65 | 11.26 | 18.10 |
| 12 | 19.54 | 10.22 | 12.78 | 4.64 | 11.91 | 1.67 | 11.63 | 7.97 | 11.08 | 6.19 | 8.68 | 1.65 | 12.91 | 0.50 |
| 13 | 11.86 | 14.40 | 13.26 | 11.93 | 11.55 | 5.14 | 11.73 | 6.43 | 12.25 | 8.50 | 10.95 | 8.57 | 10.06 | 11.08 |
| 14 | 13.01 | 3.49 | 13.81 | 3.80 | 12.22 | 2.97 | 13.49 | 4.03 | 12.07 | 1.88 | 10.97 | 4.37 | 10.80 | 2.90 |
| 15 | 11.95 | 10.36 | 13.41 | 7.72 | 12.80 | 1.82 | 12.98 | 1.56 | 11.86 | 2.13 | 10.82 | 4.75 | 11.26 | 4.95 |
| 16 | 16.40 | 4.50 | 12.15 | 4.65 | 11.81 | 1.56 | 13.29 | 2.41 | 12.76 | 3.30 | 10.86 | 2.53 | 15.08 | 2.81 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| ave | 14.44 |
|
13.59 |
|
12.44 |
|
13.37 |
|
12.63 |
|
11.01 |
|
12.05 |
|
| RSD | 20.86 |
|
9.04 |
|
6.55 |
|
9.78 |
|
10.33 |
|
9.13 |
|
13.13 |
|
|
Table 39 Factor Test Results for GoreSorber Samplers |
||||||||||||||
| test | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
| mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | |
| 1 | 4.23 | 11.51 | 18.87 | 7.86 | 19.71 | 7.69 | 17.95 | 8.44 | 15.72 | 9.04 | 17.16 | 8.28 | 22.32 | 10.16 |
| 2 | 16.39 | 4.82 | 25.08 | 4.61 | 24.79 | 4.00 | 22.95 | 4.19 | 21.07 | 4.50 | 22.48 | 3.84 | 23.54 | 6.98 |
| 3 | 23.14 | 7.73 | 32.56 | 4.52 | 27.67 | 5.74 | 27.93 | 5.25 | 26.76 | 5.00 | 25.29 | 4.26 | 26.72 | 4.80 |
| 4 | 3.15 | 3.09 | 14.91 | 3.13 | 16.62 | 5.17 | 15.31 | 3.76 | 15.85 | 0.57 | 17.34 | 5.01 | 19.58 | 5.01 |
| 5 | 6.99 | 8.50 | 19.94 | 7.82 | 20.41 | 10.10 | 18.65 | 8.99 | 16.36 | 5.88 | 18.68 | 6.77 | 20.28 | 8.71 |
| 6 | 16.25 | 8.18 | 25.63 | 1.67 | 24.25 | 3.08 | 18.80 | 25.43 | 19.57 | 3.29 | 20.50 | 3.17 | 27.53 | 1.45 |
| 7 | 19.89 | 10.59 | 26.04 | 6.33 | 24.94 | 7.46 | 23.94 | 7.41 | 22.43 | 7.59 | 24.08 | 6.97 | 27.42 | 7.44 |
| 8 | 1.99 | 4.94 | 20.43 | 5.04 | 21.83 | 7.99 | 23.62 | 17.48 | 18.94 | 8.38 | 25.72 | 8.68 | 27.64 | 8.71 |
| 9 | 17.81 | 1.73 | 33.00 | 5.16 | 28.45 | 5.22 | 27.69 | 5.62 | 26.15 | 3.98 | 27.07 | 4.00 | 31.15 | 4.62 |
| 10 | 3.38 | 64.86 | 22.11 | 43.88 | 20.62 | 47.32 | 19.11 | 45.28 | 16.90 | 46.51 | 20.99 | 55.30 | 27.84 | 62.36 |
| 11 | 2.32 | 8.72 | 18.83 | 5.46 | 17.71 | 18.35 | 20.45 | 22.68 | 15.04 | 8.47 | 19.08 | 8.13 | 24.13 | 7.17 |
| 12 | 24.17 | 5.94 | 25.95 | 4.84 | 23.91 | 4.32 | 20.88 | 3.97 | 18.64 | 3.88 | 20.52 | 3.56 | 27.42 | 5.76 |
| 13 | 15.12 | 8.34 | 27.41 | 2.00 | 24.28 | 1.08 | 24.31 | 2.33 | 21.91 | 3.12 | 25.03 | 3.27 | 26.48 | 5.91 |
| 14 | 6.07 | 10.76 | 21.89 | 1.23 | 24.02 | 0.31 | 22.92 | 1.38 | 21.68 | 1.15 | 24.83 | 1.19 | 25.14 | 0.89 |
| 15 | 1.01 | 13.78 | 15.15 | 5.07 | 16.95 | 6.70 | 15.45 | 5.59 | 13.79 | 6.32 | 18.25 | 5.76 | 21.56 | 6.34 |
| 16 | 19.91 | 8.99 | 22.72 | 9.40 | 22.98 | 7.82 | 21.43 | 8.84 | 20.09 | 7.34 | 21.98 | 2.10 | 32.24 | 6.70 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| ave | 11.36 |
|
23.16 |
|
22.45 |
|
21.34 |
|
19.43 |
|
21.81 |
|
25.69 |
|
| RSD | 73.95 |
|
22.83 |
|
15.79 |
|
17.61 |
|
19.56 |
|
14.77 |
|
14.02 |
|
|
Table 40 Factor Test Results for PE Tenax TA Samplers |
||||||||||||||
| test | Bz | EtBz | TCA | TMB | LIM | UND | DDVP | |||||||
|
|
mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD | mL/min | RSD |
| 1 | 0.59 | 3.07 | 0.52 | 3.03 | 0.52 | 3.77 | 0.48 | 4.03 | 0.44 | 4.50 | 0.39 | 4.95 | 0.37 | 9.76 |
| 2 | 0.45 | 0.00 | 0.44 | 3.82 | 0.43 | 0.00 | 0.37 | 0.00 | 0.37 | 4.88 | 0.27 | 12.86 | 0.25 | 74.18 |
| 3 | 0.54 | 21.65 | 0.51 | 28.39 | 0.43 | 22.91 | 0.47 | 22.91 | 0.52 | 22.91 | 0.47 | 22.91 | 0.47 | 37.80 |
| 4 | 0.46 | 12.87 | 0.50 | 6.02 | 0.47 | 9.94 | 0.46 | 4.95 | 0.45 | 5.96 | 0.40 | 7.33 | 0.28 | 10.80 |
| 5 | 0.50 | 0.00 | 0.50 | 4.22 | 0.54 | 3.57 | 0.49 | 2.28 | 0.44 | 2.55 | 0.39 | 2.79 | 0.30 | 25.80 |
| 6 | 0.64 | 5.33 | 0.55 | 6.45 | 0.51 | 5.41 | 0.48 | 5.00 | 0.45 | 6.30 | 0.38 | 6.25 | 0.33 | 12.06 |
| 7 | 0.52 | 6.93 | 0.49 | 7.53 | 0.47 | 7.53 | 0.49 | 7.87 | 0.46 | 8.66 | 0.38 | 26.96 | 0.28 | 13.32 |
| 8 | 0.42 | 7.12 | 0.47 | 2.73 | 0.42 | 2.87 | 0.44 | 3.42 | 0.41 | 2.22 | 0.37 | 3.78 | 0.36 | 8.00 |
| 9 | 0.55 | 1.95 | 0.56 | 6.19 | 0.50 | 2.25 | 0.52 | 6.93 | 0.51 | 10.19 | 0.37 | 8.81 | 0.20 | 21.53 |
| 10 | 0.51 | 10.19 | 0.46 | 0.00 | 0.41 | 2.47 | 0.42 | 4.55 | 0.53 | 0.00 | 0.52 | 0.00 | 0.32 | 18.33 |
| 11 | 0.41 | 5.48 | 0.45 | 6.33 | 0.46 | 11.36 | 0.43 | 6.24 | 0.42 | 9.48 | 0.39 | 3.46 | 0.24 | 40.20 |
| 12 | 0.60 | 0.00 | 0.64 | 0.00 | 0.67 | 0.00 | 0.46 | 0.00 | 0.48 | 0.00 | 0.44 | 12.37 | 0.41 | 15.75 |
| 13 | 0.53 | 3.15 | 0.54 | 3.15 | 0.48 | 3.33 | 0.50 | 3.53 | 0.45 | 4.03 | 0.40 | 0.00 | 0.30 | 26.96 |
| 14 | 0.43 | 9.12 | 0.45 | 8.00 | 0.43 | 6.28 | 0.43 | 6.74 | 0.41 | 4.76 | 0.34 | 6.54 | 0.18 | 41.81 |
| 15 | 0.58 | 8.96 | 0.54 | 9.17 | 0.51 | 8.73 | 0.49 | 9.18 | 0.45 | 8.50 | 0.38 | 10.49 | 0.39 | 27.12 |
| 16 | 0.57 | 4.95 | 0.57 | 5.09 | 0.59 | 5.09 | 0.52 | 17.32 | 0.52 | 11.95 | 0.48 | 43.30 | 0.28 | 0.00 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| ave | 0.52 |
|
0.51 |
|
0.49 |
|
0.47 |
|
0.46 |
|
0.40 |
|
0.31 |
|
| RSD | 13.39 |
|
10.49 |
|
14.00 |
|
8.55 |
|
9.91 |
|
14.65 |
|
24.85 |
|
| Table 41 Sampling Rate Variation |
|
| sampler | SRV(%) |
| SKC Ultra | 9.86 |
| GoreSorber | 17.69 |
| PE Tenax TA | 12.05 |
The RSDs for the averaged sampling rates were examined using the Cochran Test for homogeneity. The Bz RSD for the SKC Ultra sampler, Bz for the GoreSorber sampler, and DDVP for the PE Tenax TA sampler were found to be non- homogenous at the 95% confidence level and were not pooled. This application of a pooled RSD is called sampling rate variation (SRV) by OSHA, and it was established as a measure of sampling error for diffusive samplers. SRV is analogous to the often-cited ±5% sampling pump error used to estimate sampling error for active samplers12. SRV can be combined with analytical error to estimate total uncertainty in results for field samples by the addition of variances. It has been suggested that SRV is independent of the contained sampling medium, and that it depends entirely on sampler design. SRV for SKC 575 Series Samplers was determined to be 8.71% in previous work13. The close agreement of SRVs for the SKC 575 Series and SKC Ultra samplers supports that concept.
The results for the factor test were further analyzed to reveal those factors that have significant effect on sampling rate14. Minimum significant effect (MSE) is calculated by multiplying experimental error of the factor test by the appropriate t statistic for nine degrees of freedom. MSE is compared to the factor effect, and if MSE exceeds that effect, then that sampling factor effect is significant and should be evaluated further. A different MSE is determined for each TIC and for each sampler. Results of this analysis are shown in Tables 42-44. A ratio of the absolute value of each factor to MSE was calculated, therefore, any tabulated result greater than 1 is significant and should be further evaluated. Experimental error was somewhat excessive and ranged from 3 to 8% of the average sampling rates. Therefore, this experiment was capable of detecting only those factors that had sampling rate effects greater that 8 to 18% of the average sampling rates. Face velocity had the most significant impact on diffusive sampling rates in previous work15,16. Generally, factors other than face velocity were more significant in this work. Interferant (inter) results may be somewhat equivocal because components of the TIC mixture provided the studied interference. A detailed discussion of the Plackett-Burman screening design and of the mathematical treatment of factor test data are presented in the Appendix.
Significant factors for the SKC Ultra sampler were concentration and sampling time for Bz.
|
Table 42 Analysis of Factor Test Data for SKC Ultra Samplers |
|||||||
| factor | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| concn | 1.25 | 0.09 | 0.19 | 0.03 | 0.37 | 0.10 | 0.17 |
| RH | 0.17 | 0.71 | 0.45 | 0.33 | 1.02 | 0.90 | 0.63 |
| inter | 0.38 | 0.19 | 0.01 | 0.10 | 0.36 | 0.03 | 0.21 |
| samp time | 1.54 | 0.07 | 0.39 | 0.04 | 0.54 | 0.49 | 0.50 |
| face vel | 0.36 | 0.87 | 0.56 | 0.26 | 0.62 | 0.53 | 0.31 |
| orien | 0.64 | 0.32 | 0.01 | 0.02 | 0.52 | 0.14 | 0.03 |
| interaction | none | none | none | none | none | none | none |
Significant factors for the GoreSorber sampler were sampling time for all TICs, and concentration for Bz. The E1 interaction was significant for TMB, LIM, and UND. This interaction is completely confounded between concentration, relative humidity, and interferences.
|
Table 43 Analysis of Factor Test Data for Gore Samplers |
|||||||
| factor | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| concn | 1.96 | 0.35 | 0.47 | 0.44 | 0.61 | 0.21 | 0.37 |
| RH | 0.04 | 0.95 | 0.89 | 0.81 | 1.17 | 1.14 | 0.36 |
| inter | 0.22 | 0.49 | 0.26 | 0.46 | 0.17 | 0.50 | 0.65 |
| samp time | 7.18 | 2.42 | 2.19 | 1.59 | 2.36 | 1.43 | 1.29 |
| face vel | 0.19 | 0.21 | 0.04 | 0.07 | 0.01 | 0.21 | 0.24 |
| orien | 0.08 | 0.06 | 0.16 | 0.76 | 0.30 | 0.70 | 0.01 |
| interaction | none | none | none | E1: 0.99 | E1: 1.08 | E1: 1.06 | None |
Significant factors for the PE Tenax TA sampler were relative humidity, sampling time, face velocity, and sampler orientation for Bz; relative humidity for TCA; sampler orientation and concentration for LIM and UND; and face velocity for DDVP. The E7 interaction was significant for Bz, and the E3 for TCA. The E7 interaction is completely confounded between sampling interferences and sampling time or between relative humidity and face velocity. The E3 interaction is confounded between concentration and relative humidity or between face velocity and orientation. Exposure chamber size limitation necessitated that only perpendicular orientation be used for PE Tenax TA samplers. PE sampler orientation was either upward so that the test atmosphere first encountered the diffusion cap, or the sampler was inverted so that the test atmosphere first encountered the back endcap. Upward orientation was designated perpendicular orientation, and inverted designated parallel orientation. Therefore, the sampler orientation factor results are somewhat equivocal.
|
Table 44 Analysis of Factor Test Data for PE Tenax TA Samplers |
|||||||
| factor | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| concn | 0.55 | 0.20 | 0.51 | 0.18 | 1.12 | 1.10 | 0.55 |
| RH | 0.95 | 0.52 | 1.12 | 0.03 | 0.65 | 0.31 | 0.38 |
| inter | 0.00 | 0.11 | 0.22 | 0.03 | 0.35 | 0.26 | 0.17 |
| samp time | 1.24 | 0.92 | 0.58 | 0.42 | 0.81 | 0.02 | 0.17 |
| face vel | 1.29 | 0.61 | 0.11 | 0.08 | 0.58 | 0.79 | 1.98 |
| orien | 1.00 | 0.43 | 0.15 | 0.62 | 1.65 | 0.98 | 0.38 |
| interaction | E7: 1.09 | none | E3: 0.98 | none | none | none | none |
Packaging Integrity
The results of the packaging integrity test, together with analysis of blank samplers, are shown in Table 45. Only those TIC components that gave satisfactory MSD spectra were reported as present. Most sample results were similar to blank results, and the contamination that occurred was not severe.
|
Table 45 Results of Packaging Integrity Test (ng per sample) |
|||||||
| sampler | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| SKC Ultra 1 | 72 | 19 | nd | 110 | 163 | 34 | nd |
| SKC Ultra 2 | 63 | 11 | nd | 55 | 79 | nd | nd |
| GoreSorber 1 | 12 | 6 | 3 | 6 | nd | nd | nd |
| GoreSorber 2 | 12 | 8 | 3 | 6 | nd | nd | nd |
| PE Tenax TA 1 | 6 | nd | nd | nd | 2 | 2 | 5 |
| PE Tenax TA 2 | 3 | nd | nd | nd | 2 | nd | nd |
|
|
|
|
|
|
|
|
|
| blanks |
|
|
|
|
|
|
|
| SKC Ultra | 39 | 11 | nd | 34 | 38 | 22 | nd |
| GoreSorber | 12 | 7 | nd | nd | nd | nd | nd |
| PE Tenax TA | 8 | 4 | nd | nd | nd | 3 | nd |
| nd = none detected | |||||||
Precision and Accuracy
The NIOSH methods acceptability criterion for accuracy is that the candidate method must provide results within ±25% (pooled RSD ≤10.5%) of the reference value at the 95% confidence level over the range 0.5 to 2 times the target level of the method. Low-level data are pooled separately to assess method performance at these levels. There is no criterion for low-level data.
Data in Tables 46, 48, and 50 are from high-level experiments. The levels for each TIC were: 4 mg/m3 for the sampling rate (SR) tests; 4 mg/m3 for the reverse diffusion test; 7 mg/m3 for Factor Tests 2, 4, 13, and 15; 4 mg/m3 for storage test day 0; and 2 mg/m3 for Factor Tests 1, 3, 14, and 16.
SKC Ultra data for Bz reverse diffusion, and Factor Tests 13 and 15; EtBz Factor Test 13; TMB Factor Test 13; LIM Factor Tests 2 and 13; and DDVP Factor Test 13 were non-homogenous by the Cochran Test at the 95% confidence level and were not pooled.
|
Table 46 RSDs for High-Level Data for SKC Ultra Samplers |
|||||||
| data source | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| 6 hour SR | 0.32 | 0.63 | 1.03 | 1.29 | 1.59 | 1.31 | 2.36 |
| 8 hour SR | 2.51 | 3.00 | 2.45 | 3.14 | 3.12 | 2.04 | 2.85 |
| reverse diffusion | 8.23 | 2.71 | 2.00 | 2.11 | 2.23 | 1.97 | 2.91 |
| Factor Test 2 | 1.82 | 0.89 | 1.17 | 0.46 | 9.68 | 9.38 | 3.79 |
| Factor Test 4 | 2.14 | 0.77 | 1.86 | 1.29 | 1.96 | 1.62 | 2.52 |
| Factor Test 13 | 14.40 | 11.93 | 5.14 | 6.43 | 8.50 | 8.57 | 11.08 |
| Factor Test 15 | 10.36 | 7.72 | 1.82 | 1.56 | 2.13 | 4.75 | 4.95 |
| storage day 0 | 2.39 | 3.88 | 3.32 | 3.68 | 3.56 | 3.82 | 3.77 |
| Factor Test 1 | 2.82 | 2.02 | 2.09 | 2.00 | 2.03 | 1.98 | 1.49 |
| Factor Test 3 | 4.49 | 3.79 | 2.77 | 1.40 | 2.60 | 3.49 | 2.87 |
| Factor Test 14 | 3.49 | 3.80 | 2.97 | 4.03 | 1.88 | 4.37 | 2.90 |
| Factor Test 16 | 4.50 | 4.65 | 1.56 | 2.41 | 3.30 | 2.53 | 2.81 |
|
|
|
|
|
|
|
|
|
| pooled RSD | 2.99 | 3.66 | 2.58 | 2.37 | 2.52 | 4.59 | 3.14 |
Data in Tables 47, 49, and 51 are from low level, long-term sampling capacity tests that were conducted at 0.4 mg/m3 for each TIC.
SKC Ultra data for LIM 7.23 and 15.55 hours; and for UND 15.55 hours were non-homogenous by the Cochran Test at the 95% confidence level and were not pooled.
|
Table 47 RSDs for Low Level Data for SKC Ultra Samplers |
|||||||
| data source | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| 7.23 hours | 3.76 | 16.07 | 2.60 | 3.02 | 26.93 | 1.52 | 2.75 |
| 15.55 hours | 7.89 | 17.91 | 3.63 | 6.52 | 6.56 | 5.61 | 4.48 |
| 23.57 hours | 5.32 | 3.19 | 6.14 | 2.12 | 1.52 | 1.63 | 1.34 |
| 30.23 hours | 5.09 | 5.38 | 2.12 | 1.65 | 1.56 | 0.55 | 1.79 |
|
|
|
|
|
|
|
|
|
| pooled RSD | 5.71 | 12.43 | 3.94 | 3.84 | 1.54 | 1.33 | 2.86 |
GoreSorber data for reverse diffusion for Bz and for 6-hour sampling rate for DDVP were non-homogenous by the Cochran Test at the 95% confidence level and were not pooled.
|
Table 48 RSDs for High-Level Data for GoreSorber Samplers |
|||||||
| data source | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| 6 hour SR | 13.17 | 12.84 | 14.21 | 15.23 | 15.01 | 12.84 | 17.78 |
| 8 hour SR | 3.19 | 8.24 | 4.52 | 4.63 | 3.66 | 2.75 | 1.80 |
| reverse diffusion | 29.40 | 11.90 | 11.26 | 12.67 | 11.03 | 9.60 | 12.00 |
| Factor Test 2 | 4.82 | 4.61 | 4.00 | 4.19 | 4.50 | 3.84 | 6.98 |
| Factor Test 4 | 3.09 | 3.13 | 5.17 | 3.76 | 0.57 | 5.01 | 5.01 |
| Factor Test 13 | 8.34 | 2.00 | 1.08 | 2.33 | 3.12 | 3.27 | 5.91 |
| Factor Test 15 | 13.78 | 5.07 | 6.70 | 5.59 | 6.32 | 5.76 | 6.34 |
| storage day 0 | 17.81 | 2.18 | 1.29 | 1.31 | 1.74 | 0.74 | 1.64 |
| Factor Test 1 | 11.51 | 7.86 | 7.69 | 8.44 | 9.04 | 8.28 | 10.16 |
| Factor Test 3 | 7.73 | 4.52 | 5.74 | 5.25 | 5.00 | 4.26 | 4.80 |
| Factor Test 14 | 10.76 | 1.23 | 0.31 | 1.38 | 1.15 | 1.19 | 0.89 |
| Factor Test 16 | 8.99 | 9.40 | 7.82 | 8.84 | 7.34 | 2.10 | 6.70 |
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| pooled RSD | 10.36 | 7.14 | 7.03 | 7.43 | 7.04 | 6.06 | 6.54 |
GoreSorber data for EtBz for 23.57 hours test were non-homogenous by the Cochran Test at the 95% confidence level and were not pooled.
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Table 49 RSDs for Low-Level Data for GoreSorber Samplers |
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| data source | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| 7.23 hours | 7.35 | 3.21 | 3.73 | 3.44 | 3.70 | 3.46 | 1.96 |
| 15.55 hours | 43.98 | 1.97 | 3.56 | 3.31 | 2.88 | 3.68 | 5.57 |
| 23.57 hours | 27.47 | 9.48 | 6.16 | 7.30 | 8.88 | 5.92 | 5.37 |
| 30.23 hours | 24.02 | 2.65 | 6.53 | 7.96 | 7.74 | 9.78 | 12.06 |
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| pooled RSD | 28.81 | 2.66 | 5.18 | 5.90 | 6.34 | 6.25 | 7.23 |
PE Tenax TA data for Factor Test 3 for Bz, EtBz, TCA, LIM, and UND; Factor Test 16 for UND; and Factor Test 2 for DDVP were non-homogenous by the Cochran Test at the 95% confidence level and were not pooled.
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Table 50 RSDs for High-Level Data for PE Tenax TA Samplers |
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| data source | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| 6 hour SR | 13.28 | 12.86 | 10.80 | 14.64 | 10.50 | 12.07 | 18.50 |
| 8 hour SR | 3.01 | 2.26 | 1.85 | 2.17 | 2.00 | 5.26 | 18.49 |
| rev diffusion | 3.16 | 3.91 | 4.06 | 4.40 | 3.26 | 4.23 | 15.29 |
| Factor Test 2 | 0.00 | 3.82 | 0.00 | 0.00 | 4.88 | 12.86 | 74.18 |
| Factor Test 4 | 12.87 | 6.02 | 9.94 | 4.95 | 5.96 | 7.33 | 10.80 |
| Factor Test 13 | 3.15 | 3.15 | 3.33 | 3.53 | 4.03 | 0.00 | 26.96 |
| Factor Test 15 | 8.96 | 9.17 | 8.73 | 9.18 | 8.50 | 10.49 | 27.12 |
| storage day 0 | 0.86 | 2.57 | 3.95 | 9.74 | 10.42 | 3.37 | 8.11 |
| Factor Test 1 | 3.07 | 3.03 | 3.77 | 4.03 | 4.50 | 4.95 | 9.76 |
| Factor Test 3 | 21.65 | 28.39 | 22.91 | 22.91 | 22.91 | 22.91 | 37.80 |
| Factor Test 14 | 9.12 | 8.00 | 6.28 | 6.74 | 4.76 | 6.54 | 41.81 |
| Factor Test 16 | 4.95 | 5.09 | 5.09 | 17.32 | 11.95 | 43.30 | 0.00 |
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| pooled RSD | 7.19 | 6.30 | 6.16 | 10.57 | 7.18 | 7.74 | 23.03 |
Low-level PE Tenax TA data were homogenous by the Cochran Test and all were pooled.
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Table 51 RSDs for Low Level Data for PE Tenax TA Samplers |
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| data source | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| 7.23 hours | 0.00 | 5.41 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 15.55 hours | 2.79 | 5.33 | 5.97 | 3.15 | 5.88 | 0.00 | 16.88 |
| 23.57 hours | 4.42 | 3.23 | 3.89 | 4.17 | 10.34 | 4.17 | 14.43 |
| 30.23 hours | 6.44 | 3.88 | 5.53 | 7.56 | 3.33 | 6.67 | 21.17 |
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| pooled RSD | 4.15 | 4.56 | 4.51 | 4.60 | 6.18 | 3.93 | 15.34 |
OSHA methods acceptability criteria requires that the candidate method provide sampling results that are at least 75% (±25%) of the target level at the 95% confidence level, and also have less than 10% bias. This data is derived from the storage stability tests. SKC Ultra samplers, with the exception of DDVP, generally met OSHA methods requirements. SKC Ultra samples for Bz must be stored at refrigerated temperature, or analyzed within five days of sampling. GoreSorber and PE Tenax TA samplers did not meet OSHA methods requirements.
Precision in terms of SEE or RSD was calculated from the ambient temperature storage stability tests, the factor tests, and the Precision and Accuracy high-level tests, and is presented in Table 52. The data may not be directly comparable because it was obtained in considerably different tests. Factor test data have higher imprecision because this test is performed by significantly altering exposure conditions during the 16-run experiment, and it is intended to spotlight sampler inadequacies. The data in Table 52 may be useful, though, to compare the magnitude of precision values obtained by different means. It shows that Bz is not a good application for SKC Ultra and GoreSorber samplers, nor is DDVP a good application for PE Tenax TA samplers.
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Table 52 Precision Summary for SKC Ultra, GoreSorber, and PE Tenax TA Samplers |
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| sampler | source | Bz | EtBz | TCA | TMB | LIM | UND | DDVP |
| SKC Ultra | ambient storage SEER | 9.31 | 6.42 | 8.31 | 6.97 | 5.41 | 6.64 | 11.16 |
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Factor Test | 20.86 | 9.04 | 6.55 | 9.78 | 10.33 | 9.13 | 13.13 |
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Precision | 2.99 | 3.66 | 2.58 | 2.37 | 2.52 | 4.59 | 3.14 |
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| GoreSorber | ambient storage SEER | NA | 4.83 | 6.38 | 5.88 | 6.66 | 7.13 | 9.97 |
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Factor Test | 73.95 | 22.83 | 15.79 | 17.61 | 19.56 | 14.77 | 14.02 |
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Precision | 10.36 | 7.14 | 7.03 | 7.43 | 7.04 | 6.06 | 6.54 |
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| PE Tenax TA | ambient storage SEER | 6.30 | 7.18 | 10.61 | 12.26 | 12.23 | 8.69 | 18.34 |
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Factor Test | 13.39 | 10.49 | 14.00 | 8.55 | 9.91 | 14.65 | 24.85 |
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Precision | 7.19 | 6.30 | 6.16 | 10.57 | 7.18 | 7.74 | 23.03 |
SUMMARY
Preparation of SKC Ultra samplers for analysis was fast and easy. Suitable care must be exercised when transferring the sorbent within the SKC Ultra sampler to the thermal-desorption tube. Most TICs are probably retained near the sampler inlet and that part is transferred last. The aluminum funnel built into the SKC Ultra sampler made transfer of the sorbent easy. Tenax TA sampling medium did not clump on transfer, even after sampling humid atmospheres for extended times. Preparation of GoreSorber samplers was especially easy. The option of analyzing each of the two GoreSorber cartridges separately is very attractive. No preparation of PE Tenax TA samplers is required for analysis.
The body of the SKC Ultra sampler is probably recyclable. The inlet of the sampler is not disturbed when removing the sampling medium, therefore, sampling performance should not be altered. It seems likely that the SKC Ultra sampler could be refilled with fresh Tenax TA and successfully reused. PE samplers are reusable for as-many-as 100 times17 after thermal reconditioning.
Preparation of analytical standards was quick and easy. Calibration of the MSD was straightforward and the resultant calibration curves were linear unless the MSD was saturated. Detector saturation will obviously interfere with quantitation. The internal standard option of the ATD should be used cautiously because uptake of the internal standard can be somewhat different for field samples compared to standards prepared using reconditioned sampling medium. It might bepossible to avoid uptake differences if analytical standards were prepared with unused samplers of the same type used for field samples. An internal standard should be employed if a significant amount of time will elapse between initial analysis and subsequent quantitation because identical internal standards analyzed separately can link MSD response for both analyses.
MSD detection limits were generally sufficiently low to permit detection about one-ppb of each TIC in a four-hour SKC Ultra air sample. Detection limits for some TICs could be dependent on the presence of interfering sampler artifacts and other co-eluting species. Sampler artifacts should be reduced to the lowest feasible level.
Thermal desorption efficiencies were all high, except for Bz from the GoreSorber sampler. The 75% recovery was probably caused by loss of Bz through the hole punctured in the cartridge wall when liquid spiking the GoreSorber cartridge. Tenax TA does not have a high affinity for Bz18.
Sampling rate and long-term sampling capacity experiments showed that sampler capacity depended on sampling rate, mass of sampling medium, affinity of the sampling medium for the TIC, and concentration of that TIC in the test atmospheres. SKC Ultra samplers had limited capacity for Bz and slightly more capacity for EtBz and LIM. Capacity for the other TICs was adequate. GoreSorber samplers had almost no sampling capacity for Bz, and limited capacity for the other TICs. The SKC Ultra sampler has the higher sampling capacity of the two project samplers. Long-term sampling for Bz using either SKC Ultra or GoreSorber samplers is not recommended. Selection of maximum sampling times is a compromise between economy and the required quality of the sample results. Sampling performance was adequate for the non-project PE Tenax TA sampler with the possible exception of Bz.
The SKC Ultra RSR sampler has fewer holes in the inlet than the SKC Ultra sampler and this results in lower sampling rates compared to the SKC Ultra sampler. Lower sampling rates should permit longer sampling times for some TICs.
Limited work performed with PE samplers containing either Chromosorb 106 or Carbopack B gave promising preliminary results. Chromosorb 106 does have a large number of sampler artifacts that could make interpretation of field sample results time consuming. DDVP did not desorb from Carbopack B at its recommended maximum desorption temperature. SKC 575-002 and 3M 3520 OVM control samplers both performed satisfactorily. An SKC 575-002 sampler artifact prevented determination of DDVP. These two control samplers could be useful, but they are not amenable to thermal desorption.
Storage tests showed good stability for all TICs on the three tested samplers, except for Bz stored at 40°C on SKC Ultra samplers. The observed loss of Bz was probably due to physical loss, and not to chemical instability. Bz was not retained by the GoreSorber sampler and, therefore, was not tested. The stability data were not as precise as that obtained in other OSHA SLTC work performed with different diffusive samplers containing carbon-based sampling media. The overall SEER for those tests was about 3%, compared to the 9% obtained in this work.
Factor tests were performed to determine sampling rate variation (SRV). SRV has been established as an estimate of sampling error for diffusive samplers that can be combined with analytical error to calculate overall sampling and analytical error by the addition of variances. The SRV obtained for SKC Ultra samplers was comparable to that obtained in other work for a sampler that is similar in design.
Manufacturer’s packaging was sufficient to prevent severe contamination of samplers when sealed SKC Ultra, GoreSorber, and PE Tenax TA samplers were exposed to test atmospheres for an extended time. Some contamination did occur. The glass container used by the manufacturer for GoreSorber samplers is not appropriate for rugged field use.
Data from the analysis of SKC Ultra samplers met the NIOSH methods acceptability criterion for precision and accuracy. GoreSorber samplers, with the exception of Bz, also met the standard. PE Tenax TA samplers, with the exceptions of TMB and DDVP, also met the NIOSH criterion.
The precision of ambient temperature storage stability data showed that SKC Ultra samplers, with the exception of DDVP, generally met OSHA methods requirements. SKC Ultra samples for Bz must be stored at refrigerated temperature, or analyzed within five days of sampling. GoreSorber and PE Tenax TA samplers did not meet OSHA methods requirements.
PROJECT CONCLUSIONS
The prescribed thermal desorption/MSD analytical method provided acceptable sample results for both project samplers. The addition of an internal standard is potentially extremely useful, but must be done cautiously, and then results must be carefully interpreted.
Use of the project samplers has been shown to be an effective means to monitor personal exposure to the tested TICs with the exception of benzene. The SKC Ultra sampler generally provided more reliable sampling results than did the GoreSorber sampler. Both of these samplers contain Tenax TA sorbent. This sorbent may be the best overall sampling medium for many chemicals, but its capacity is limited for relatively volatile species that may constitute significant personal exposures. Length of permissible sampling time was shown to be a compromise between economy and required accuracy of sample results. The SKC Ultra sampler is probably reusable three or four times when refilled with fresh adsorbent.
SUPPLEMENTARY DISCUSSION
A limitation of relatively long-term diffusive sampling is that exposures will be determined as time-averaged results. Short and possibly very high-level exposures to extremely toxic materials would be averaged over the entire sampling period and could be dismissed as inconsequential.
The large number of personnel to be monitored will likely require each individual to be involved in sample collection. This process has been termed self-assessment. There is precedent for the use of diffusive sampling in self-assessment of chemical exposures. A Swedish study19 reported good agreement between self-assessment sample results and results from expert monitoring in several surveys. Several issues were raised in this report. Among them were the necessary degree of worker training and motivation, the validity of sample results, and the acceptance of sample results by regulatory authorities. Self-assessment fraud was not found to be a serious problem. Simple, robust diffusive samplers and strong organizational support were seen as prerequisites for such a monitoring program to succeed.
An expert MSD operator given sufficient time can correctly identify most exposures. SLTC experience has shown that it is often the minuscule chromatographic peak that is of the most toxicological interest. For example, exposure to a few picograms of chemical agent is of much more concern than exposure to a few nanograms of an innocuous chemical.
The vast number of possible chemical exposures causes difficult technical problems. This number will cause most sampling rates to remain unknown. A single-surrogate sampling rate could be established for each project sampler, and then used to calculate air concentrations for all detected TICs. The surrogate sampling rate could be partially based on literature data, and have a large uncertainty factor attached to it.
Calibration of the MSD to provide accurate sample quantitation will be difficult and time consuming, and it can only be done after the offending chemical has been identified. Perhaps quantitation results could be expressed in terms of internal standard equivalents. Third parties using project equipment could establish TIC/internal standard response ratios for the MSD response for all possible TICs. Each TIC/internal standard ratio would be numerically different and would be confirmed from time-to-time. In this way, internal standard equivalents can be related to TIC concentration without the need to calibrate the MSD used to analyze samples. Results obtained using a surrogate sampling rate and response ratios would be approximate. Advantages to this approach are much-improved sample turn-around-time and significantly reduced analytical costs.
Non-project PE samplers have good potential for extended-time sampling, but they appear to have precision limitations. The imprecision may be somehow related to use of membranes in the diffusive sampling caps. Most literature data addresses sampling caps used without membranes. Membranes, or windscreens, in other diffusive samplers are designed to reduce effects of wind speed on sampling rate. The windscreen also acts as a diffusion barrier and will reduce sampling rates.
The GoreSorber sampler might have more application for TICs if one of the two cartridges containing Tenax TA could be replaced with another cartridge containing a sampling medium more suitable for TICs. Undoubtedly, there would be sampling competition between the two cartridges and the modified sampler would require testing. The cartridges could retain their present diameter, but be lengthened so that they could contain more sampling medium. The two cartridges would be analyzed separately, one for CWAs and the other for TICs.
APPENDIX
Analysis of Factor Effects
NIOSH has identified six factors (analyte concentration, exposure time, face velocity, relative humidity, interferant, and monitor orientation) that can affect diffusive sampling performance. Sixty-four experimental runs (26) would be required to evaluate combinations of each factor at two levels per factor. NIOSH has recognized that this is an excessive number of experimental runs, and has devised a 16-run fraction of the full factorial experiment that is capable of revealing any of these factors having a significant effect on performance, free of two-factor interactions20. Some two and three-factor interactions, in which the combined effect of certain factors are compared to their separate effects, can also be tested by this experimental design. This fraction of the full factorial is based on the Plackett-Burman screening design. A Plackett-Burman screening design is a specific fraction of the full factorial that has properties that allow efficient estimation of the effects of the variables under study21. Table 53 is a representation of the experimental design, and this format is suitable for use in an electronic spreadsheet. The effects of the factors are examined at two levels. The two levels are a high level (designated by a "1"), and a low level (designated by a "-1"). Columns X1 through X6 represent the factors, for example, X1 is analyte concentration. The E columns provide an estimate of experimental error, a means to calculate minimum significant effect (MSE), and estimates of two and three-factor interactions. Columns E1 and E2 depict the three-factor interactions, and columns E3 through E9 represent two-factor interactions. Rows 1 through 16 are the experimental runs. Experiments are performed under the conditions specified in the appropriate row. For example, experiment 1 is conducted at low analyte concentration, low relative humidity, low interference level, high exposure time, high face velocity, and perpendicular monitor orientation. Three monitors are exposed under the required conditions for each experimental run. Average analytical results are calculated in terms of sampling rate, and are placed in the R column (or in a separate array with the same format). Each experimental result (R) is multiplied by the number (either 1 or -1) in each cell, and that cell content is replaced by the result. For example, if the result for run 1 was 13.94 mL/min, X1 (run 1) would become -13.94, X2 (run 1) become -13.94, X3 (run 1) become -13.94, X4 (run 1) become 13.94...E9 (run 1) become -13.94. Alternatively, the results could be entered in another table. The sum of the positive numbers in a column (for example, the X1 Column) is entered in the "Sum+" row under each column. The sum of the negative numbers in a column (for example, the X1 Column) is entered in the "Sum-" row under each column. Add the absolute values of the "Sum+" and "Sum-" numbers for each column and place that result in the "Total" row. The "Total" result should be the same for all columns. Add the "Sum+" number and the "Sum-" number and place that result in the "Diff" row. Divide the "Diff" number by 8 (the number of positive numbers in each column, and put that result in the "Effect" row. The "Effect" number is the factor effect for the X columns, and an estimate of experimental error for the E columns. The experimental error is calculated by the following equation: (1/9×(E12+E22+E32+...+E92))0.5. The minimum significant effect (MSE) is calculated by multiplying the experimental error by the t statistic at the 95% confidence level for the number of E columns (degrees of freedom). In this case the t statistic is 2.26 because there are nine degrees of freedom. Factors with "Effect" numbers (absolute value) exceeding "MSE" have significant effect on the sampling performance of the monitors and should be further studied. E columns with "Effect" numbers (absolute value) exceeding "MSE" are an estimate of factor interactions. The ratio "absolute value of Effect/MSE" was calculated and any result greater than 1 is significant. The factor interactions are shown in Table 54. A worked example for TMB and SKC Ultra samplers is shown in Table 55.
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Table 53 Factor Effects Experimental Design |
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| X1 | X2 | X3 | X4 | X5 | X6 | E1 | E2 | E3 | E4 | E5 | E6 | E7 | E8 | E9 | R | |
| run | concn | RH | inter | time | face vel | orien | ||||||||||
| 1 | -1 | -1 | -1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | -1 |
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| 2 | 1 | -1 | -1 | -1 | -1 | 1 | 1 | 1 | -1 | -1 | -1 | -1 | 1 | 1 | 1 |
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| 3 | -1 | 1 | -1 | -1 | 1 | -1 | 1 | 1 | -1 | 1 | 1 | -1 | 1 | -1 | -1 |
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| 4 | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 |
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| 5 | -1 | -1 | 1 | 1 | -1 | -1 | 1 | 1 | 1 | -1 | -1 | 1 | 1 | -1 | -1 |
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| 6 | 1 | -1 | 1 | -1 | 1 | -1 | -1 | 1 | -1 | 1 | -1 | 1 | -1 | -1 | 1 |
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| 7 | -1 | 1 | 1 | -1 | -1 | 1 | -1 | 1 | -1 | -1 | 1 | 1 | -1 | 1 | -1 |
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| 8 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
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| 9 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | -1 | 1 | 1 | -1 | -1 | -1 | 1 | -1 |
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| 10 | -1 | 1 | 1 | 1 | 1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | 1 | 1 |
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| 11 | 1 | -1 | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | -1 | 1 | -1 | -1 |
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| 12 | -1 | -1 | 1 | -1 | 1 | 1 | 1 | -1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 |
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| 13 | 1 | 1 | -1 | -1 | 1 | 1 | -1 | -1 | 1 | -1 | -1 | 1 | 1 | -1 | -1 |
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| 14 | -1 | 1 | -1 | 1 | -1 | 1 | 1 | -1 | -1 | 1 | -1 | 1 | -1 | -1 | 1 |
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| 15 | 1 | -1 | -1 | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | -1 | 1 | -1 |
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| 16 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
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Table 54 Factor Interactions |
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| E column | factor interaction | E column | factor interaction |
| E1 | X1X2X3 | E6 | X1X5 or X2X6 |
| E2 | X1X2X4 | E7 | X3X4 or X2X5 |
| E3 | X1X2 or X5X6 | E8 | X2X3 or X4X5 |
| E4 | X1X3 or X4X6 | E9 | X2X4 or X3X5 |
| E5 | X1X4 or X3X6 |
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Factor interactions are completely confounded. For example, the E3 interaction is confounded between concentration and relative humidity or between face velocity and sampler orientation. These interactions cannot be resolved without additional experimental work.
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Table 55 Analysis of Factor Test Data for TMB for SKC Ultra Sampler |
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| X1 | X2 | X3 | X4 | X5 | X6 | |
| run | conc | RH | inter | time | face vel |
orien |
| 1 | -13.94 | -13.94 | -13.94 | 13.94 | 13.94 | 13.94 |
| 2 | 15.17 | -15.17 | -15.17 | -15.17 | -15.17 | 15.17 |
| 3 | -15.23 | 15.23 | -15.23 | -15.23 | 15.23 | -15.23 |
| 4 | 11.89 | 11.89 | -11.89 | 11.89 | -11.89 | -11.89 |
| 5 | -11.43 | -11.43 | 11.43 | 11.43 | -11.43 | -11.43 |
| 6 | 13.28 | -13.28 | 13.28 | -13.28 | 13.28 | -13.28 |
| 7 | -12.84 | 12.84 | 12.84 | -12.84 | -12.84 | 12.84 |
| 8 | 15.18 | 15.18 | 15.18 | 15.18 | 15.18 | 15.18 |
| 9 | 14.10 | 14.10 | 14.10 | -14.10 | -14.10 | -14.10 |
| 10 | -14.93 | 14.93 | 14.93 | 14.93 | 14.93 | -14.93 |
| 11 | 12.87 | -12.87 | 12.87 | 12.87 | -12.87 | 12.87 |
| 12 | -11.63 | -11.63 | 11.63 | -11.63 | 11.63 | 11.63 |
| 13 | 11.73 | 11.73 | -11.73 | -11.73 | 11.73 | 11.73 |
| 14 | -13.49 | 13.49 | -13.49 | 13.49 | -13.49 | 13.49 |
| 15 | 12.98 | -12.98 | -12.98 | 12.98 | 12.98 | -12.98 |
| 16 |
-13.29 |
-13.29 |
-13.29 |
-13.29 |
-13.29 |
-13.29 |
| Sum+ | 107.20 | 109.39 | 106.26 | 106.71 | 108.90 | 106.85 |
| Sum- | -106.78 | -104.59 | -107.72 | -107.27 | -105.08 | -107.13 |
| Total | 213.98 | 213.98 | 213.98 | 213.98 | 213.98 | 213.98 |
| Diff | 0.42 | 4.80 | -1.46 | -0.56 | 3.82 | -0.28 |
| Effect | 0.053 | 0.600 | -0.183 | -0.070 | 0.478 | -0.035 |
| Error | 0.802 |
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| MSE | 1.812 | |||||
| |Effect /MSE| |
0.029 | 0.331 | 0.101 | 0.039 | 0.264 | 0.019 |
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Table 55 (continued) Analysis of Factor Test Data for TMB for SKC Ultra Sampler |
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| E1 | E2 | E3 | E4 | E5 | E6 | E7 | E8 | E9 | R | |
| run | ||||||||||
| 1 | -13.94 | 13.94 | 13.94 | 13.94 | -13.94 | -13.94 | -13.94 | 13.94 | -13.94 | 13.94 |
| 2 | 15.17 | 15.17 | -15.17 | -15.17 | -15.17 | -15.17 | 15.17 | 15.17 | 15.17 | 15.17 |
| 3 | 15.23 | 15.23 | -15.23 | 15.23 | 15.23 | -15.23 | 15.23 | -15.23 | -15.23 | 15.23 |
| 4 | -11.89 | 11.89 | 11.89 | -11.89 | 11.89 | -11.89 | -11.89 | -11.89 | 11.89 | 11.89 |
| 5 | 11.43 | 11.43 | 11.43 | -11.43 | -11.43 | 11.43 | 11.43 | -11.43 | -11.43 | 11.43 |
| 6 | -13.28 | 13.28 | -13.28 | 13.28 | -13.28 | 13.28 | -13.28 | -13.28 | 13.28 | 13.28 |
| 7 | -12.84 | 12.84 | -12.84 | -12.84 | 12.84 | 12.84 | -12.84 | 12.84 | -12.84 | 12.84 |
| 8 | 15.18 | 15.18 | 15.18 | 15.18 | 15.18 | 15.18 | 15.18 | 15.18 | 15.18 | 15.18 |
| 9 | 14.10 | -14.10 | 14.10 | 14.10 | -14.10 | -14.10 | -14.10 | 14.10 | -14.10 | 14.10 |
| 10 | -14.93 | -14.93 | -14.93 | -14.93 | -14.93 | -14.93 | 14.93 | 14.93 | 14.93 | 14.93 |
| 11 | -12.87 | -12.87 | -12.87 | 12.87 | 12.87 | -12.87 | 12.87 | -12.87 | -12.87 | 12.87 |
| 12 | 11.63 | -11.63 | 11.63 | -11.63 | 11.63 | -11.63 | -11.63 | -11.63 | 11.63 | 11.63 |
| 13 | -11.73 | -11.73 | 11.73 | -11.73 | -11.73 | 11.73 | 11.73 | -11.73 | -11.73 | 11.73 |
| 14 | 13.49 | -13.49 | -13.49 | 13.49 | -13.49 | 13.49 | -13.49 | -13.49 | 13.49 | 13.49 |
| 15 | 12.98 | -12.98 | -12.98 | -12.98 | 12.98 | 12.98 | -12.98 | 12.98 | -12.98 | 12.98 |
| 16 |
-13.29 |
-13.29 |
13.29 |
13.29 |
13.29 |
13.29 |
13.29 |
13.29 |
13.29 |
13.29 |
| Sum+ | 109.21 | 108.96 | 103.19 | 111.38 | 105.91 | 104.22 | 109.83 | 112.43 | 108.86 | |
| Sum- | -104.77 | -105.02 | -110.79 | -102.60 | -108.07 | -109.76 | -104.15 | -101.55 | -105.12 | |
| Total | 213.98 | 213.98 | 213.98 | 213.98 | 213.98 | 213.98 | 213.98 | 213.98 | 213.98 | |
| Diff | 4.44 | 3.94 | -7.60 | 8.78 | -2.16 | -5.54 | 5.68 | 10.88 | 3.74 | |
| Effect | 0.555 | 0.493 | -0.950 | 1.098 | -0.270 | -0.693 | 0.710 | 1.360 | 0.468 | |
| Error |
|
|
|
|
|
|
|
|
|
|
| MSE | ||||||||||
| |Effect /MSE| |
0.306 | 0.272 | 0.524 | 0.606 | 0.149 | 0.382 | 0.392 | 0.751 | 0.260 | |
- References:
1. Evaluation Guidelines for Air Sampling Methods Utilizing Chromatographic Analysis, (accessed February 2002).
2. Development of a Protocol for Laboratory Testing of Diffusive Samplers, (accessed February 2002).
3. Evaluation Guidelines for Air Sampling Methods Utilizing Chromatographic Analysis, (accessed February 2002).
4. Cassinielli, M.E.; Hull, R.D.; Crabel, J.V.; and Teass, A.W., "Protocol for the Evaluation of Passive Monitors", Diffusive Sampling: An Alternative Approach to Workplace Air Monitoring, Berlin, A.; Brown, R.H.;Saunders, K.J.; Eds., Royal Society of Chemistry, Burlington House, London, pp 190-202, 1987.
5. Development of a Protocol for Laboratory Testing of Diffusive Samplers, (accessed February 2002).
6. Cassinielli, M.E.; Hull, R.D.; Crabel, J.V.; and Teass, A.W., "Protocol for the Evaluation of Passive Monitors", Diffusive Sampling: An Alternative Approach to Workplace Air Monitoring, Berlin, A.; Brown, R.H.;Saunders, K.J.; Eds., Royal Society of Chemistry, Burlington House, London, pp 190-202, 1987.
7. Development of a Protocol for Laboratory Testing of Diffusive Samplers, (accessed February 2002).
8. Coyne, L. SKC Inc., Eighty-Four, PA. Personal Communication, 2002.
9. Health and Safety Executive, The Diffusive Monitor, 12, Workplace Applications, 6-13, (July 2001).
10. Eide, M. OSHA Method No. 1005 Benzene; OSHA Salt Lake Technical Center, unpublished, Salt Lake City, UT 84115-1802, November 2001.
11. XYLENES (o-, m-, p-isomers) Ethylbenzene, (accessed February 2002).
12. Development of a Protocol for Laboratory Testing of Diffusive Samplers, (accessed February 2002).
13. Determination of the Sampling Rate Variation for SKC 575 Series Passive Samplers, (accessed February 2002).
14. Cassinielli, M.E.; Hull, R.D.; Crabel, J.V.; and Teass, A.W., "Protocol for the Evaluation of Passive Monitors", Diffusive Sampling: An Alternative Approach to Workplace Air Monitoring, Berlin, A.; Brown, R.H.;Saunders, K.J.; Eds., Royal Society of Chemistry, Burlington House, London, pp 190-202, 1987.
15. Development of a Protocol for Laboratory Testing of Diffusive Samplers, (accessed February 2002).
16. Determination of the Sampling Rate Variation for SKC 575 Series Passive Samplers, (accessed February 2002).
17. Perkin Elmer, Inc. TurboMatrix Thermal Desorbers, Instrument Manual Part Number M041-3331, Norwalk, CT, 2000, pp206-7.
18. Perkin Elmer Thermal Desorption Data Sheet No. 10, "A Guide to Adsorbent Selection".
19. Levin, J.O., Liljelind, I., Stromback, A. Sunesson, A.L., Sundgren, M., Lindahl, R. Diffusive Sampling as a Tool for Self-Assessment of Chemical Exposure. Presented as International Conference Measuring Air Pollutants by Diffusive Sampling, Montpellier, France, 2001.
20. Cassinielli, M.E.; Hull, R.D.; Crabel, J.V.; and Teass, A.W., "Protocol for the Evaluation of Passive Monitors", Diffusive Sampling: An Alternative Approach to Workplace Air Monitoring, Berlin, A.; Brown, R.H.;Saunders, K.J.; Eds., Royal Society of Chemistry, Burlington House, London, pp 190-202, 1987.
21. E.I. du Pont de Nemours & Co. (Inc.). Strategy of Experimentation, Revised ed.; Wilmington, DE October 1975. M.

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