Todd
McAlary
*ab,
Hester
Groenevelt
a,
Suresh
Seethapathy
b,
Paolo
Sacco
c,
Derrick
Crump
d,
Michael
Tuday
e,
Brian
Schumacher
f,
Heidi
Hayes
g,
Paul
Johnson
h and
Tadeusz
Górecki
b
aGeosyntec Consultants, Inc., 130 Research Lane, #2, Guelph, Ontario N1G 5G3, Canada. E-mail: tmcalary@geosyntec.com; Fax: +1(519) 822 3151; Tel: +1(519) 515 0861
bUniversity of Waterloo, Waterloo, Ontario, Canada
cFondazione Salvatore Maugeri, Padova, Italy
dCranfield University, Cranfield, UK
eColumbia Analytical Services, Simi Valley, CA, USA
fUnited States Environmental Protection Agency, Las Vegas, NV, USA
gEurofins/Air Toxics, Inc. (formerly Air Toxics Ltd.), Folsom, CA, USA
hArizona State University, Tempe, AZ, USA
First published on 24th January 2014
Controlled laboratory experiments were conducted to demonstrate the use of passive samplers for soil vapor concentration monitoring. Five different passive samplers were studied (Radiello, SKC Ultra, Waterloo Membrane Sampler, ATD tubes and 3M OVM 3500). Ten different volatile organic compounds were used of varying classes (chlorinated ethanes, ethanes, and methanes, aliphatics and aromatics) and physical properties (vapor pressure, solubility and sorption). Samplers were exposed in randomized triplicates to concentrations of 1, 10 and 100 ppmv, with a relative humidity of ∼80%, a temperature of ∼24 °C, and a duration of 30 minutes in a chamber with a face velocity of about 5 cm min−1. Passive samplers are more commonly used for longer sample durations (e.g., 8 hour workday) and higher face velocities (>600 cm min−1), so testing to verify the performance for these conditions was needed. Summa canister samples were collected and analyzed by EPA Method TO-15 to establish a baseline for comparison for all the passive samplers. Low-uptake rate varieties of four of the samplers were also tested at 10 ppmv under two conditions; with 5 cm min−1 face velocity and stagnant conditions to assess whether low or near-zero face velocities would result in a low bias from the starvation effect. The results indicate that passive samplers can provide concentration measurements with accuracy (mostly within a factor of 2) and precision (RSD < 15%) comparable to conventional Summa canister samples and EPA Method TO-15 analysis. Some compounds are challenging for some passive samplers because of uncertainties in the uptake rates, or challenges with retention or recovery.
Environmental impactSoil vapor intrusion to indoor air is an important pathway of potential human exposure to volatile chemicals at contaminated sites, but assessment is challenging using conventional indoor air and soil gas sampling methods because of spatial and temporal variability. This research demonstrates the use of an alternative sampling approach (passive diffusive samplers) for soil vapor monitoring via controlled laboratory experiments including 10 compounds, five sampler types, a range of flow rates, exposure durations, and concentrations to provide a robust characterization of the capabilities and limitations of this approach. |
Passive samplers are defined here as devices that contain a sorbent medium and uptake VOC vapors passively by diffusion or permeation. Concentrations are calculated using eqn (1):
(1) |
The mass (M) of VOC sorbed and sample duration (t) are measured typically with accuracy of 10% or better, so the key factor controlling the accuracy of passive diffusive sampler concentrations is the uptake rate (UR) of the sampler.
Uptake rates for quantitative passive samplers can be obtained in three main ways: (1) supplied by the vendor based on controlled exposure chamber tests, (2) interpolated from the uptake rates of similar compounds based on ratios of diffusion or permeation coefficients or (3) field-verified via side-by-side contemporaneous duplicate samples collected using a conventional sampling method (“field-verified uptake rates”). The passive diffusive samplers included in this study all have experimentally measured vendor-supplied uptake rates, which distinguishes these devices from qualitative or semi-quantitative passive samplers (e.g., Petrex tubes™,13,14 EMFLUX Cartridges™,7 Beacon BeSure Passive Soil Gas Technology™,15 and Gore™ Modules (formerly known as the Gore-Sorber®),8 and similar devices that are not specifically designed to control the uptake rate). Where vendor-supplied uptake rates were not available for some of the compounds in this study, they were interpolated from values for compounds of similar structure and mass (and collectively referred to hereafter simply as “uptake rates”). No adjustments were made for temperature or pressure because all tests were performed at 24 °C and atmospheric pressure.
Several of the samplers in this study are available in more than one variety with different uptake rates. High uptake rates allow lower concentrations to be measured in a shorter period of time. However, if the uptake rate is too high relative to the face velocity of air near the sampler, then the sampler may cause a localized reduction in the vapor concentrations, and an associated low bias in the measured concentration, which is referred to as the “starvation effect”. For soil gas sampling, there is a greater risk of starvation compared to indoor or outdoor air sampling because soil gas flow rates are typically very low or negligible, and replenishment of vapors to the vicinity of the passive sampler occurs primarily by diffusion.11
This testing program focused on different compounds, concentrations and samplers (uptake rates, sorbent and extraction method). Test protocols for evaluating occupational indoor air quality monitors16 were considered, but not employed because they address variables such as temperature, humidity and sampling duration, but in the subsurface, the humidity is almost always high, the temperature is insulated to some extent and long sample durations were not needed to quantify the concentration range of this study for most of the compounds tested for most of the samplers. Most of the tests were conducted using a steady gas velocity of 5 cm min−1 (flowrate of 100 mL min−1 in a 5 cm diameter cylinder) through the exposure chamber to minimize the starvation effect in order to focus on the performance of the passive samplers for different compounds and different concentrations in a high humidity environment. Water can be adsorbed by carbon-based sorbents and this can cause poor retention of weakly sorbed analytes or interference during analysis, so the high humidity typical of soil gas was considered likely to pose challenges for some samplers. The gas velocity of 5 cm min−1 was very low compared to typical indoor air velocities (600 to 3000 cm min−1 is a common range of air flow velocities for testing passive samplers designed for indoor air quality monitoring17), in keeping with the intent of assessing the performance of the passive samplers under conditions approximating soil vapor sampling. A series of samples collected under stagnant conditions was also included.
Analyte | Organic carbon partitioning coefficient Koc (mL g−1) | Henry's law constant @ 25 °C (dim) | Vapor pressure (atm) | Pure component maximum vapor concentration (ppmv) | Water solubility (g L−1) |
---|---|---|---|---|---|
1,1,1-Trichloroethane (111TCA) | 43 | 0.70 | 0.16 | 160000 | 1.3 |
1,2,4-Trimethylbenzene (124TMB) | 614 | 0.25 | 0.0020 | 2000 | 0.057 |
1,2-Dichloroethane (12DCA) | 39 | 0.048 | 0.11 | 110000 | 8.6 |
2-Butanone (MEK) | 4.5 | 0.0023 | 0.10 | 100000 | 220 |
Benzene (BENZ) | 146 | 0.23 | 0.13 | 130000 | 1.8 |
Carbon tetrachloride (CTET) | 43.9 | 1.1 | 0.15 | 150000 | 0.79 |
Naphthalene (NAPH) | 1540 | 0.18 | 0.00012 | 120 | 0.031 |
n-Hexane (NHEX) | 132 | 74 | 0.20 | 200000 | 0.0095 |
Tetrachloroethene (PCE) | 94.9 | 0.72 | 0.024 | 24000 | 0.21 |
Trichloroethene (TCE) | 61 | 0.40 | 0.095 | 95000 | 1.3 |
The laboratory apparatus consisted of a 1 m long × 5 cm diameter glass cylinder with three side ports (influent at the bottom, effluent at the top and a sampling port in the middle). A schematic diagram of the apparatus is shown in Fig. 1. The interior surface of the glass cylinder was passivated using a silanization process. The outer wall of the cylinder was wrapped with 1.6 cm diameter Tygon tubing, which was used to circulate water for temperature control. The cylinder and tubing were placed inside a 10 cm diameter clear acetate tube for structural support and mounted to a frame for stability. Two PVC and stainless steel gate valves were secured to the top of the acetate pipe by friction with Teflon™ tape acting as a seal. The gate valves formed an air-lock, to allow samplers to enter and exit the chamber with minimal disruption to the concentrations inside. A supply of gas containing known concentrations of selected VOCs was humidified and fed through the apparatus. When deployed in the exposure chamber, the badge samplers (3M and SKC) had their face vertical, the WMS and ATD samplers faced down and the Radiello was aligned near vertical.
Stainless steel and nylon tubing were used to deliver the supply gas to the exposure chamber, with compression fittings used at all connections. All fittings were leak-tested by connecting the apparatus to a 100 mL min−1 flow of pure helium and monitoring all the fittings with a helium meter. Adjustments were made as necessary until there were no measurable helium leaks in the regions immediately outside of the fittings.
Three identical humidification vessels were used (one for each concentration) and the water in each vessel was spiked with a mixture containing each of the 10 neat liquid VOCs mixed in proportions such that after dissolving into the water in the humidification vessel, the water would be approximately in equilibrium with the supply gas according to Henry's Law (Table 2). Each humidification vessel contained about 1 L of distilled, deionized water and a Teflon-coated magnetic stir bar. The stir bars operated continuously and the supply gas was delivered to the bottom of the humidification vessel through 1/4-inch glass tubing with a porous ceramic cup at the bottom to generate a large number of small gas bubbles. This apparatus consistently delivered steady source vapor concentrations with a relative humidity of about 80%.
Compound | Molecular weight | Gas phase concentration corresponding to 100 ppmv in μg L−1 | Henry's constant at 22 °C | Aqueous concentration (μg L−1) | Density of pure liquid (g mL−1) | Volume (μL) to dose 1000 mL of water |
---|---|---|---|---|---|---|
111TCA | 133.41 | 557 | 0.65 | 857 | 1.320 | 649 |
124TMB | 120.2 | 502 | 0.2 | 2508 | 0.876 | 2863 |
12DCA | 98.96 | 413 | 0.059 | 7001 | 1.253 | 5587 |
MEK | 72.11 | 301 | 0.004 | 75244 | 0.805 | 93471 |
BENZ | 78.11 | 326 | 0.2 | 1630 | 0.877 | 1860 |
CTET | 153.8 | 642 | 0.99 | 648 | 1.587 | 409 |
NAPH | 128.2 | 54 | 0.018 | 2973 | 1.140 | 2608 |
NHEX | 86.18 | 360 | 50 | 7 | 0.655 | 11 |
PCE | 165.8 | 692 | 0.65 | 1065 | 1.622 | 656 |
TCE | 131.4 | 548 | 0.39 | 1406 | 1.460 | 963 |
All three supply-gas systems were set up simultaneously (Fig. 1 shows only one for simplicity) and allowed to run continuously for a week at about 100 mL min−1 and monitored periodically with a MiniRae 1000 photoionization detector (PID) and sampled using an active (pumped) sorbent tube filled with Anasorb 747 and analyzed by solvent extraction GC/MS to document the attainment of stable conditions prior to the experiments. The temperature and relative humidity were monitored using a Madgetech RHTemp101A datalogger.
Testing was performed starting with the concentrations at 1 ppmv, followed by 10 ppmv and 100 ppmv to reduce potential effects of carryover from one test to the next. At least 60 h were allowed for the chamber to equilibrate with each new concentration. At a flow rate of 100 mL min−1, more than 180 times the volume of the test chamber passed through the chamber prior to sampling. The sample port at the mid-point of the test chamber was periodically monitored during the stabilization period using the PID to assess the stability of total ionizable vapor concentrations inside the test chamber and verification testing using pumped sorbent tubes (50 mL min−1 for 20 min with Anasorb 747) and solvent extraction GC/MS analysis until concentrations stabilized. NAPH was slower to equilibrate than the other compounds, presumably because of its tendency to adsorb even to relatively inert surfaces.
For the 1 ppmv test, three replicates of each of the five passive samplers and the 1 L Summa canister samples were collected over 30 minutes in random order (denoted using lower case a, b and c in Table ESI 1A–C†). For the 10 ppmv and 100 ppmv tests, additional Summa canister samples were collected at the beginning and end for a total of five active samples (denoted a through e). For the 1 and 10 ppmv tests, samples were deployed with no delay between them. PID measurements made after the 10 ppmv tests indicated that some of the samplers may have sufficient uptake to influence the concentrations inside the chamber (e.g., 10% lower PID readings after the sample period compared to before for the samplers with higher uptake rates), so a 5 minute interval was allowed for re-equilibration between samples during the 100 ppmv tests. The effect of this change is discussed further in the results section.
Analyses were performed by the laboratories considered by the study team to be most familiar with the respective samplers. Fondazione Salvatore Maugeri in Padova, Italy analyzed the Radiello samplers via solvent extraction GC/MS. The University of Waterloo analyzed the WMS samplers via solvent extraction GC/MS. AirZone One Ltd of Mississauga, Ontario analyzed the OVM 3500 samplers by solvent extraction GC/MS. Columbia Analytical Services of Simi Valley, CA analyzed the SKC Ultra samplers by solvent extraction GC/MS for the Ultra sampler with charcoal and thermal desorption GC/MS for the Ultra II with Carbograph 5 and the Summa canister samples by EPA Method TO-15.24 Air Toxics Ltd. of Folsom, CA analyzed the ATD tube samplers by thermal desorption GC/MS using a modified version of U.S. EPA Method TO-17.25
• Radiello – yellow body with charcoal.
• SCK Ultra – 12-hole cap with charcoal.
• WMS-LU – 0.8 mL vial with Anasorb 747.
• ATD tube – low-uptake cap with Tenax TA.
No low-uptake version of the 3M OVM 3500 is available, so it was not included in this set of tests.
Inter-laboratory testing was performed to ensure each analytical laboratory could adequately analyze samplers. Each analytical laboratory adhered to its own QA/QC program (method blanks, surrogate analysis, internal standard analysis, laboratory duplicate analysis, etc.). No significant QA/QC issues were identified.
Fig. 2 (a) Relative concentrations (C/C0) in the 1 ppmv tests. (b) Relative concentrations (C/C0) in the 10 ppmv tests. (c) Relative concentrations (C/C0) in the 100 ppmv tests. |
Most of the samplers provided concentrations within a relative percent difference (RPD) of ±50% of the Summa canister values, with the following exceptions:
1) Naphthalene – Radiello: not detected.
3M OVM 3500: not detected in 0.1 ppmv samples.
SKC Ultra: not detected in the 1 ppmv samples.
WMS: low bias of about 8× in the 0.1 ppmv samples and 3× in 1 ppmv samples.
2) MEK – Radiello: low bias by a factor of about 2 to 3.
ATD tube: not detected in the 1 and 10 ppmv samples.
3M OVM 3500: low bias by a factor of about 3 to 5.
SKC Ultra: high bias with thermal desorption @ 1 ppmv and low bias via solvent extraction at 10 and 100 ppmv.
WMS: not detected in the 1 ppmv samples, low bias by 2× in 10 ppmv samples.
3) 1,2,4-TMB – Radiello: low bias by about 3×.
Naphthalene and 1,2,4-trimethylbenzene were the two compounds with the highest and second highest Koc values (Table 1), and MEK was the compound with the highest solubility. Less soluble and less sorptive compounds yielded better agreement between the passive samplers and Summa canisters.
The accuracy of the passive samplers is summarized in Table 3, which shows the relative concentration (C/C0), where C is the average passive sampler concentration and C0 is the average Summa canister concentration for each compound, sampler and concentration. Overall, the C/C0 values were within the range of 0.5 to 1.67 (corresponding to an RPD of ±50% between the passive and active samplers) in 83% (110 of 133) of sampler/compound pairs with detectable results. The C/C0 values were generally higher for the 100 ppmv tests, which might be attributable to the fact that the chamber was allowed to re-equilibrate for 5 minutes between samples. The compounds that showed the poorest comparison between the passive and active samplers were MEK and naphthalene. These compounds were specifically included in this research because they were expected to be challenging compounds for passive samplers. Note that for the 1 ppmv test, the SKC Ultra sampler was used with Carbograph 5 as the sorbent for better sensitivity and the result showed a high bias for MEK, which demonstrates the importance of sorbent selection.
MEK | NHEX | 12DCA | 111TCA | BENZ | CTET | TCE | PCE | 124TMB | NAPH | Average | |
---|---|---|---|---|---|---|---|---|---|---|---|
a NA – not available for SKC because two different sorbents were used. ND – not detected. NT – not tested. | |||||||||||
C/C 0 for 1 ppm v | |||||||||||
WMS anasorb 747 | ND | 1.38 | 0.63 | 0.60 | 0.50 | 0.60 | 0.70 | 0.66 | 0.55 | 0.12 | 0.64 |
ATD tenax TA | ND | 1.04 | 0.61 | 0.45 | 1.68 | 0.63 | 1.16 | 0.82 | 0.55 | 1.10 | 0.89 |
Radiello charcoal | 0.41 | 0.80 | 0.77 | 0.89 | 0.80 | 0.73 | 0.85 | 0.75 | 0.28 | ND | 0.70 |
3M OVM 3500 | 0.21 | 0.65 | 0.60 | 0.64 | 0.83 | 0.62 | 0.73 | 0.82 | 0.63 | ND | 0.64 |
SKC carbograph 5 | 1.87 | 0.76 | 0.66 | 0.63 | 0.96 | 0.49 | 0.58 | 0.58 | 0.60 | 1.11 | 0.82 |
C/C 0 for 10 ppm v | |||||||||||
WMS anasorb 747 | 0.54 | 0.70 | 0.68 | 0.65 | 0.75 | 0.69 | 0.74 | 0.71 | 0.83 | 0.35 | 0.66 |
ATD tenax TA | ND | 1.00 | 0.89 | 0.60 | 1.59 | 0.79 | 1.21 | 0.96 | 0.88 | 1.33 | 1.03 |
Radiello charcoal | 0.47 | 0.78 | 0.73 | 0.82 | 0.77 | 0.70 | 0.83 | 0.77 | 0.35 | ND | 0.69 |
3M OVM 3500 | 0.22 | 0.70 | 0.68 | 0.68 | 0.68 | 0.74 | 0.85 | 0.96 | 0.95 | 0.46 | 0.69 |
SKC charcoal | 0.40 | 1.11 | 1.10 | 1.01 | 0.98 | 0.99 | 1.03 | 1.16 | 1.15 | ND | 0.99 |
C/C 0 for 100 ppm v | |||||||||||
WMS anasorb 747 | 0.80 | 0.86 | 0.92 | 0.82 | 1.04 | 0.90 | 1.02 | 1.16 | NT | NT | 0.94 |
ATD tenax TA | 1.04 | 1.39 | 1.36 | 1.21 | 2.74 | 1.23 | 2.10 | 1.89 | NT | NT | 1.62 |
Radiello charcoal | 0.58 | 1.12 | 1.12 | 1.27 | 1.18 | 1.09 | 1.35 | 1.44 | NT | NT | 1.14 |
3M OVM 3500 | 0.30 | 0.86 | 0.88 | 0.94 | 0.86 | 0.96 | 1.16 | 1.40 | NT | NT | 0.92 |
SKC charcoal | 0.37 | 1.23 | 1.39 | 1.33 | 1.07 | 1.29 | 1.39 | 1.75 | NT | NT | 1.23 |
Overall average C/C 0 | |||||||||||
WMS anasorb 747 | 0.67 | 0.98 | 0.74 | 0.69 | 0.76 | 0.73 | 0.82 | 0.84 | 0.69 | 0.24 | 0.72 |
ATD tenax TA | 1.04 | 1.14 | 0.96 | 0.75 | 2.00 | 0.88 | 1.49 | 1.22 | 0.71 | 1.22 | 1.14 |
Radiello charcoal | 0.49 | 0.90 | 0.87 | 0.99 | 0.92 | 0.84 | 1.01 | 0.99 | 0.31 | ND | 0.81 |
3M OVM 3500 | 0.24 | 0.74 | 0.72 | 0.75 | 0.79 | 0.77 | 0.92 | 1.06 | 0.79 | 0.46 | 0.72 |
SKC | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
The precision of the passive samplers is summarized in Table 4, which shows the relative standard deviation (RSD, the standard deviation divided by the mean) for all the compound and sampler combinations. The RSD values for the passive samplers were comparable or better than the values for the Summa canister samples. In most cases, the RSD values were less than 15%, which is consistent with passive sampling protocol requirements for occupational monitoring,26 especially at the 10 and 100 ppmv levels where the mass was more readily resolved against reporting limits.
RSD @ 1 ppmv | MEK | NHEX | 12DCA | 111TCA | BENZ | CTET | TCE | PCE | 124TMB | NAPH | Average |
---|---|---|---|---|---|---|---|---|---|---|---|
a ND – not detected. NT – not tested. | |||||||||||
WMS Anasorb 747 | ND | 0.32 | 0.03 | 0.06 | 0.06 | 0.05 | 0.00 | 0.05 | 0.06 | 0.18 | 0.09 |
ATD Tenax TA | ND | 0.04 | 0.07 | 0.10 | 0.08 | 0.13 | 0.04 | 0.05 | 0.15 | NA | 0.08 |
Radiello charcoal | 0.03 | 0.14 | 0.09 | 0.11 | 0.12 | 0.09 | 0.11 | 0.15 | 0.19 | ND | 0.11 |
3M OVM 3500 | 0.03 | 0.09 | 0.12 | 0.08 | 0.20 | 0.11 | 0.08 | 0.09 | 0.08 | ND | 0.10 |
SKC carbograph 5 | 0.05 | 0.13 | 0.16 | 0.18 | 0.05 | 0.21 | 0.18 | 0.18 | 0.19 | 0.14 | 0.15 |
Summa canister | 0.17 | 0.15 | 0.17 | 0.16 | 0.18 | 0.14 | 0.17 | 0.20 | 0.26 | 0.29 | 0.19 |
RSD @ 10 ppmv | MEK | NHEX | 12DCA | 111TCA | BENZ | CTET | TCE | PCE | 124TMB | NAPH | Average |
---|---|---|---|---|---|---|---|---|---|---|---|
WMS Anasorb 747 | 0.11 | 0.05 | 0.04 | 0.06 | 0.05 | 0.04 | 0.02 | 0.01 | 0.04 | 0.12 | 0.05 |
ATD Tenax TA | ND | 0.02 | 0.00 | 0.07 | 0.02 | 0.07 | 0.00 | 0.01 | 0.02 | 0.09 | 0.03 |
Radiello charcoal | 0.17 | 0.14 | 0.14 | 0.14 | 0.14 | 0.14 | 0.15 | 0.15 | 0.18 | ND | 0.15 |
3M OVM 3500 | 0.04 | 0.08 | 0.08 | 0.06 | 0.06 | 0.07 | 0.08 | 0.06 | 0.06 | 0.07 | 0.07 |
SKC charcoal | 0.18 | 0.14 | 0.02 | 0.04 | 0.04 | 0.03 | 0.04 | 0.04 | 0.05 | NA | 0.06 |
Summa canister | 0.06 | 0.03 | 0.04 | 0.03 | 0.04 | 0.07 | 0.06 | 0.09 | 0.17 | 0.22 | 0.08 |
RSD @ 100 ppmv | MEK | NHEX | 12DCA | 111TCA | BENZ | CTET | TCE | PCE | 124TMB | NAPH | Average |
---|---|---|---|---|---|---|---|---|---|---|---|
WMS Anasorb 747 | 0.10 | 0.09 | 0.06 | 0.05 | 0.09 | 0.07 | 0.06 | 0.06 | NT | NT | 0.07 |
ATD Tenax TA | 0.05 | 0.05 | 0.04 | 0.04 | 0.04 | 0.04 | 0.05 | 0.05 | NT | NT | 0.04 |
Radiello charcoal | 0.14 | 0.03 | 0.03 | 0.03 | 0.03 | 0.02 | 0.03 | 0.10 | NT | NT | 0.05 |
3M OVM 3500 | 0.01 | 0.03 | 0.03 | 0.02 | 0.00 | 0.03 | 0.06 | 0.05 | NT | NT | 0.03 |
SKC charcoal | 0.12 | 0.12 | 0.09 | 0.10 | 0.07 | 0.09 | 0.11 | 0.12 | NT | NT | 0.10 |
Summa canister | 0.11 | 0.03 | 0.06 | 0.03 | 0.05 | 0.04 | 0.06 | 0.14 | NT | NT | 0.07 |
Overall Mean RSD | MEK | NHEX | 12DCA | 111TCA | BENZ | CTET | TCE | PCE | 124TMB | NAPH | Overall Average |
---|---|---|---|---|---|---|---|---|---|---|---|
WMS Anasorb 747 | 0.11 | 0.15 | 0.04 | 0.06 | 0.07 | 0.05 | 0.03 | 0.04 | 0.05 | 0.15 | 0.07 |
ATD Tenax TA | 0.05 | 0.04 | 0.04 | 0.07 | 0.05 | 0.08 | 0.03 | 0.04 | 0.08 | 0.09 | 0.06 |
Radiello charcoal | 0.11 | 0.10 | 0.09 | 0.09 | 0.10 | 0.08 | 0.10 | 0.13 | 0.19 | NA | 0.11 |
3M OVM 3500 | 0.03 | 0.07 | 0.07 | 0.05 | 0.09 | 0.07 | 0.07 | 0.07 | 0.07 | 0.07 | 0.07 |
SKC | 0.11 | 0.13 | 0.09 | 0.11 | 0.05 | 0.11 | 0.11 | 0.11 | 0.12 | 0.14 | 0.11 |
Summa canister | 0.11 | 0.07 | 0.09 | 0.08 | 0.09 | 0.08 | 0.09 | 0.14 | 0.22 | 0.26 | 0.12 |
A linear regression analysis was performed to calculate the slope, intercept and correlation coefficient (R2) of the relation between the relative concentration (C/C0) and absolute concentration in the chamber. An ideal correlation would have all C/C0 values equal to 1.0, which would result in a regression with a slope of zero, an intercept of 1.0 and a correlation coefficient (R2) of 100%. Table 5 provides the regression parameters calculated. The intercepts were slightly lower than 1 (0.7 mean for 50 observations), which is attributable to the change in procedure for the 100 ppmv tests where 5 minutes was allowed between samplers for re-equilibration of the chamber concentrations, which resulted in slightly higher concentrations for the 100 ppmv test. Otherwise, the slopes were near zero for all but 124TMB and NAPH in the WMS and 3M OVM 3500 samplers. The R2 values were above 80% for all but:
Analyte | WMS | ATD | Radiello | 3M OVM | SKC | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Slope | Intercept | R 2 | Slope | Intercept | R 2 | Slope | Intercept | R 2 | Slope | Intercept | R 2 | Slope | Intercept | R 2 | |
a * - not considered representative because of apparent laboratory blank contamination in 1 ppmv samples. | |||||||||||||||
2-Butanone (MEK) | 0.01 | 0.21 | 69% | 0.01 | −0.06 | 99% | 0.00 | 0.40 | 98% | 0.00 | 0.21 | 98% | −0.01 | 1.21 | 33% |
n-Hexane | 0.00 | 1.07 | * | 0.01 | 1.00 | 99% | 0.01 | 0.77 | 99% | 0.00 | 0.67 | 100% | 0.01 | 0.91 | 83% |
1,2-Dichloroethane | 0.00 | 0.64 | 100% | 0.01 | 0.71 | 92% | 0.00 | 1.10 | 36% | 0.00 | 0.64 | 96% | 0.00 | 0.80 | 51% |
1,1,1-Trichloroethane | 0.00 | 0.62 | 96% | 0.01 | 0.49 | 98% | 0.00 | 0.85 | 98% | 0.00 | 0.67 | 99% | 0.00 | 0.79 | 39% |
Benzene | 0.00 | 0.59 | 87% | 0.01 | 1.56 | 97% | 0.00 | 0.76 | 97% | 0.00 | 0.76 | 27% | 0.00 | 0.95 | 97% |
Carbon tetrachloride | 0.00 | 0.65 | 89% | 0.01 | 0.70 | 94% | 0.00 | 0.71 | 99% | 0.00 | 0.69 | 87% | 0.01 | 0.72 | 63% |
Trichloroethene | 0.00 | 0.71 | 99% | 0.01 | 1.15 | 100% | 0.01 | 0.83 | 100% | 0.00 | 0.79 | 95% | 0.01 | 0.77 | 74% |
Tetrachloroethene | 0.00 | 0.69 | 99% | 0.01 | 0.87 | 99% | 0.01 | 0.78 | 99% | 0.01 | 0.91 | 92% | 0.01 | 0.85 | 75% |
1,2,4-Trimethylbenzene | 0.05 | 0.50 | 100% | −0.01 | 0.83 | 70% | 0.00 | 0.41 | 72% | 0.06 | 0.58 | 100% | −0.01 | 1.02 | 61% |
Naphthalene | 0.02 | 0.10 | 100% | −0.01 | 0.84 | 44% | 0.00 | 0.04 | 18% | 0.05 | −0.05 | 100% | −0.01 | 0.61 | 32% |
• MEK and NHEX for the WMS.
• 124TMB for the ATD.
• 12DCA, 124TMB and NAPH for the Radiello.
• BENZ for the 3M OVM 3500 and.
• most of the compounds with the SKC Ultra.
This demonstrates that different compounds pose challenges for each of the samplers, which is an area for further research.
The results for the low-uptake rate samplers are provided in Table 6. The Radiello sampler (yellow body), WMS-LU (0.8 mL vial) and the ATD tube sampler with the low-uptake rate cap (Markes International, Wales) showed average results within a factor of 0.72, 1.08 and 0.72, respectively of the Summa canister results in the 10 ppmv test at a flow rate of 100 mL min−1, which shows the low uptake rate samplers have a comparable accuracy to the regular uptake rate samplers. Under no-flow conditions, the passive samplers showed average C/C0 values of 0.47, 0.73 and 0.1, respectively, which were lower (by a factor of 0.65, 0.68 and 0.71, respectively) compared to the samples collected with 100 mL min−1 flow in the chamber. The low bias under no-flow conditions was similar for all three samplers even though they have considerably different uptake rates (about 25 mL min−1 for the Radiello, about 0.5 mL min−1 for the WMS-LU and about 0.05 mL min−1 for the ATD tube). The low-uptake rate Radiello also showed a low bias of 100× for 124TMB, and a low bias of 5× for tetrachloroethene (PCE) under no flow conditions, which are the compounds with the highest organic carbon partitioning coefficient (Koc) values and lowest free air diffusion coefficients (excepting NAPH which was not detected by the Radiello). The ATD tube sampler showed a high bias of 2× for BENZ and 9× for NAPH and a low bias of about 10× for 1,1,1-trichloroethane (111TCA), carbon tetrachloride (CTET) and 124TMB. The SKC/Charcoal sampler with the low-uptake rate cap showed detectable concentrations for only 3 compounds in the 100 ppmv stagnant test, but the concentrations were quantified within a factor of 2 for all three. The WMS-LU sampler showed concentrations within 2× for all compounds under both flowing and stagnant conditions.
MEK | NHEX | 12DCA | 111TCA | BENZ | CTET | TCE | PCE | 124TMB | NAPH | Average | |
---|---|---|---|---|---|---|---|---|---|---|---|
a Notably different than other results, so these values were not included in the row averages. ND – not detected. | |||||||||||
10 ppm v & 100 mL min −1 | |||||||||||
Active tube sample 1 | 14400 | 41900 | 41400 | 55800 | 34400 | 65100 | 51200 | 60500 | 41400 | 1020 | |
Active tube sample 2 | 11600 | 34400 | 38600 | 51200 | 30200 | 60500 | 46500 | 55800 | 36700 | 884 | |
Average Active tube concentration | 13000 | 38100 | 40000 | 53500 | 32300 | 62800 | 48800 | 58100 | 39100 | 953 | |
Radiello yellow body | 12200 | 30800 | 35900 | 613400 | 27800 | 44900 | 36800 | 18800 | 230 | ND | |
Radiello/Active (C/C0) | 0.94 | 0.81 | 0.90 | 1.15 | 0.86 | 0.72 | 0.75 | 0.32 | 0.01 | 0.72 | |
SKC 12 hole cap | ND | ND | ND | ND | ND | ND | ND | ND | ND | ND | |
WMS 0.8 mL vial 1 | 17500 | 30100 | 42800 | 57100 | 29900 | 66700 | 50000 | 65500 | 33700 | 1470 | |
WMS 0.8 mL vial 2 | 17300 | 30100 | 42800 | 59000 | 29900 | 68200 | 48500 | 59500 | 34100 | 1530 | |
Average WMS/Active (C/C0) | 1.34 | 0.79 | 1.07 | 1.09 | 0.92 | 1.07 | 1.01 | 1.08 | 0.87 | 1.57 | 1.08 |
ATD low uptake 1 | 10700 | 18700 | 29300 | 1870 | 81900 | 16700 | 28700 | 30100 | 2260 | 5600 | |
ATD low uptake 2 | 16000 | 20000 | 30000 | 14000 | 82900 | 20000 | 28700 | 39000 | 2800 | 6400 | |
Average ATD/Active (C/C0) | 1.02 | 0.51 | 0.74 | 0.15 | 2.55 | 0.29 | 0.59 | 0.59 | 0.06 | 6.29a | 0.72 |
10 ppmv No flow | |||||||||||
Active tube sample | 17500 | 37500 | 37500 | 54200 | 29200 | 61700 | 49200 | 60800 | 38300 | 833 | |
Radiello yellow | 12800 | 19300 | 21100 | 37300 | 16400 | 27500 | 22700 | 12200 | 1100 | ND | |
Radiello/Active (C/C0) | 0.73 | 0.52 | 0.56 | 0.69 | 0.56 | 0.45 | 0.46 | 0.20 | 0.03 | 0.47 | |
SKC 12 hole cap | ND | ND | ND | ND | ND | ND | ND | ND | ND | ND | |
WMS 0.8 mL vial 1 | 13000 | 24800 | 28900 | 40000 | 21900 | 48100 | 34100 | 39300 | 18300 | 733 | |
WMS 0.8 mL vial 2 | 14100 | 20900 | 30800 | 43800 | 22900 | 51200 | 35600 | 42300 | 19800 | 800 | |
Average WMS/Active (C/C0) | 0.77 | 0.61 | 0.80 | 0.77 | 0.77 | 0.80 | 0.71 | 0.67 | 0.50 | 0.92 | 0.73 |
ATD low uptake 1 | 13300 | 16000 | 17300 | 9330 | 81900 | 12000 | 17300 | 20300 | 2150 | 9330 | |
ATD low uptake 2 | 10700 | 6200 | 16700 | 2470 | 53300 | 3130 | 10700 | 8940 | 2690 | 5130 | |
Average ATD/Active (C/C0) | 0.69 | 0.30 | 0.45 | 0.11 | 2.32 | 0.12 | 0.28 | 0.24 | 0.06 | 8.68a | 0.51 |
100 ppmv No flow | |||||||||||
Summa | 140000 | 240000 | 250000 | 340000 | 180000 | 440000 | 300000 | 380000 | |||
SKC 12 hole cap 1 | ND | 313000 | 440000 | 520000 | ND | ND | ND | ND | |||
SKC 12 hole cap 2 | ND | 321000 | 442000 | 526000 | ND | ND | ND | ND | |||
SKC 12 hole cap 3 | ND | 290000 | 403000 | 487000 | ND | ND | ND | ND | |||
Average SKC/Summa (C/C0) | 1.28 | 1.71 | 1.50 | 1.50 | |||||||
ATD low uptake | 260000 | 260000 | 327000 | 480000 | 429000 | 593000 | 327000 | 610000 | |||
ATD/Summa (C/C0) | 1.86 | 1.08 | 1.31 | 1.41 | 2.38 | 1.35 | 1.09 | 1.60 | 1.51 |
The laboratory testing apparatus cannot simulate field sampling of soil vapor exactly, so further in situ testing is needed. Field conditions could involve a broader range of chemicals, concentrations, sample durations and sampler design modifications (sorbents, uptake rates). Until more is known about these variables, it is prudent to perform inter-method comparisons as a quality assurance procedure (e.g., collect adjacent samples for analysis by conventional methods in a certain percentage of locations to enable calculation of site-specific or field-verified uptake rates).
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c3em00128h |
This journal is © The Royal Society of Chemistry 2014 |