1. Introduction
Global anthropogenic emissions of SF6 are much less than 1% of total global CO2 emissions [49.3 Gt of CO2 equivalent (CO2-eq) emissions in 2016] (Olivier et al. 2017). However, SF6 remains in the atmosphere for approximately 850 years, once released (Ray et al. 2017). If SF6 is used at current levels for the next 100 years, its global warming potential will increase by a factor of 10 (EPA 2013). Atmospheric measurements of SF6 have been made by numerous laboratories since the 1980s (Maiss and Levin 1994; Maiss and Brenninkmeijer 1998; Levin et al. 2010). To date, multiple measurement methods have been developed that use gas chromatography with electron capture detector (GC-ECD) and mass spectrometer (GC-MS) to measure atmospheric SF6 at around 10 pmol mol−1 levels (Simmonds et al. 1972; Elkins 1980; Elkins et al. 1996; Hall et al. 2007, 2011; Lim et al. 2013, 2017; Maiss et al. 1996; Miller et al. 2008; O’Doherty et al. 1993). Measurements of SF6 dissolved in seawater showed concentrations at sub pmol L−1 levels per hundred milliliters (Wanninkhof et al. 1991; Koo et al. 2005). Maiss et al. (1996) applied Porapak-Q, cooled by a dry-ice/isopropanol bath at −70°C, as an absorber coupled to a GC-ECD with a molecular 5 Å (MS-5A) separation column. This study achieved an analytical precision of 0.5%. In Miller et al.’s work (2008), Hayesep D was electrically cooled to −165°C. At this temperature, atmospheric permanent gases such as O2, N2, CO2, Kr, and so on were physically adsorbed; therefore, a microtrap was required to concentrate the analytes. This was called the Medusa system and enabled enough halocarbons to be concentrated to allow analysis by GC-MS. The analytical precision for SF6 was reported to be 0.5% with this method. In O’Doherty et al.’s study (1993), Carboxen 1000/1003 cooled at −50°C was used as an adsorbent. This preconcentration system was coupled to GC-MS.
Simmonds et al. measured SF6 by applying an MS-5A column to a GC-ECD (Simmonds et al. 1972). The SF6 peak avoided interference with the O2 peak that appeared later and had long tails. Hall et al. (2007, 2011) suggested methods involving chromatographic separation with a Porapak-Q (PP-Q) column and P5 (5% CH4 in Ar) or CO2-doped nitrogen carrier gas. In these methods, SF6 elutes after N2O and the measurement precision was reported to be ~1%. They then employed a MS-5A column to reverse the order of elution (SF6 before N2O), which improved precision to <0.5%. Here, we used an AA-F1 column with a GC-μECD system (Lim et al. 2013). With the AA-F1 column, the appearance order of the elution corresponded to O2 first followed by SF6, and N2O. Although a certain extent of chromatographical interference was observed between the long tail of the atmospheric oxygen and the SF6 peak, 0.2% precision was reported by bracketing the drift correction and multipoint calibration. Recently, a trace SF6 measurement technique based on a preconcentrator–GC-μECD equipped with a Carboxen 1000 adsorbent was introduced with the result that the atmospheric level of oxygen was hardly adsorbed (Lim et al. 2017). The response linearity, limit of detection (LOD), and repeatability of measurements with the preconcentration method were evaluated. Additionally, the precision and drift characteristics of the preconcentration method were compared with the temperature programming method, by using an AA-F1 separator based on μECD (conventional method) and forecut–backflush (FCBF) method, using a PP-Q separator similar to that of the method developed by Hall et al. (2011), but based on μECD.
a. Analytical methods
To conduct a comparative study of the conventional, FCBF, and preconcentration methods, three independent GC-μECD systems were ran at the same laboratory. The conventional method for the measurement of trace SF6 in air was performed with an AA-F1 separation column. The FCBF method was performed with PP-Q for the precolumn and the main column. The MS-5A was the postcolumn. For the preconcentration method, the trap was equipped with Carboxen 1000. In each method, 5% CH4/Ar (P5 gas) was used as the carrier gas. This is a main difference between Hall et al.’s (2011) FCBF method and the method proposed in this study. A summary of the analytical conditions for each three methods are shown in Table S1 in the online supplemental material.
b. Conventional method
The conventional oven-temperature programming method uses an activated alumina F1 (AA-F1; 80/100 mesh and 7.3 m × 3.2 mm; Restek) separation column. To bake out late-appearing eluents such as chlorofluorocarbons (CFCs), the oven temperature was ramped to 200°C after the SF6 and N2O peaks appeared at 50°C. This method required a long run time because of the need to cool the oven from 200° to 50°C. This step corresponded to 50% of the total run time. The injection valve and sampling loop (10 mL) were placed in a second oven that was independently operated at 50°C, to minimize the temperature tolerance induced by oven temperature programming. This treatment prevented a mismatch between the thermal expansion of loaded gas and the loop size, thereby leading to improved precision in the amount of sample loaded. The P5 carrier gas was passed through an electronic pneumatic control (EPC) placed in the GC body (7890A; Agilent) and fed into a micro electron capture detector (G2397A; Agilent). The mass flow controller (MFC; Brooks) was used to control the flow rate of the sample gases. A flow restrictor (Frit filter; Valco) attached to the sample loop vent could pressurize the loaded amount of the sample (Fig. S1 in the online supplemental material). By using the restrictor at the end of the sample loop, pressure variations inside the loop were minimized during loading. This was affected by short-term fluctuations in room temperature. Therefore, pressurizing the sample loop with the flow restrictor (thereby increasing sample size), might lead to an improved signal-to-noise ratio (SNR), as well as repeatability of consecutive measurements, in comparison to no restrictor.
c. Forecut–backflush method
In the conventional method, an O2 peak with a long tail interferes with SF6 (when AA-F1 is used) or N2O (when PP-Q is used) peaks, and this interference reduces the measurement precision of the analyte. In addition, there is a concern that the control precision of the oven temperature in the static section may be reduced due to the repetitive increase and decrease in the oven temperature, for reducing the elution time of the CFCs during measurement of the atmospheric sample. The forecut–backflush technique for ambient SF6 and N2O measurement can be used to overcome the disadvantages (Hall et al. 2011). As depicted in the previous study, the fastest eluent, O2, was forecut (heart cut) before it reached the µECD, where it remains for a long period and interferes in the ionization of the SF6 analyte. With this method, the total run time was shortened by approximately 30 min, in comparison with that of the conventional method (50 min), as GC oven baking was no longer required. The GC-μECD system for the FCBF method consists of a 10-port valve and a 4-port valve, as shown in Fig. S2 of the online supplemental information. A PP-Q (80/100 mesh and 1.8 m × 3.2 mm; Restek) was used as the precolumn, a PP-Q (80/100 mesh and 3.7 m × 3.2 mm; Restek) was used as the main column, and an MS-5A (1.8 m × 3.2 mm, Restek) was used as the postcolumn. The differences between this setup and that used by Hall et al. (2011) (the “NOAA FCBF” method), are summarized in supplemental Table S1. Both setups were identically designed, except for the types of columns and multiposition valves used. In contrast to the conventional method, the makeup gas flow rate was decreased by as much as 5 mL min−1, but the methods were still very similar to each other. Considering that a detector’s sensitivity can be enhanced by lowering the makeup gas flow rate, the μECD for the FCBF method might appear to show a higher sensitivity and SNR in comparison with the conventional method, as shown by a twofold increase in the response of the FCBF method, in comparison to the conventional method (Table S1). Nevertheless, because detector sensitivity depends on the individual instrument, a decreased makeup gas flow rate could not be the sole reason for the increased sensitivity. A flow restrictor installed at the vent of the µECD detector might be another factor enhancing the detector sensitivity, by pressurizing eluent analytes within the µECD cavity, even though the sample loop size was 5 times smaller with the FCBF method. Nevertheless, the GC-µECD system (7890A/G2397A) for the FCBF method showed better SNR, despite the small sample loop size (Table S1). The gas line configuration of the FCBF method was essentially designed to match the concept presented in the previous study from Hall et al. (2011), although each column was longer and the oven temperature was higher by about 25°–30°C. Another difference with this study is that a P5 carrier gas was used with the μECD instead of a CO2 doped N2 carrier gas that was used with the ECD. Other details of the analytical conditions are tabulated in supplemental Table S1, in conjunction with those used in the previous study. The run time of the proposed method is a more than a factor of 2 longer than that described by Hall et al. (2011). (Fig. 1d) Decreases in the column length and increases in the flow rate of the carrier gas in the study of Hall et al. (2011), can shorten the elution times of N2O and SF6. Valve configuration and working mechanisms are further detailed in Fig. S2.
d. Preconcentration method
The home-built preconcentrator-GC-μECD system consisted of two 6-port multiposition valves, two solenoid valves, a three-way valve, and an adsorption trap filled with Carboxen 1000 (80/100 mesh and 140 mg; Supleco) mounted on the refrigerator. As shown in Fig. 2, the preconcentration system is divided into a flushing/injection part and a trapping part. Figure 2a shows the valve configuration in the preparation step. The line was flushed with high-purity helium (50 mL min−1; >99.999%), and the trap was maintained at a designated temperature. Figure 2b shows the ready step in which all gas lines and traps were purged with He. All valves were set to the “off” position. Figure 2c shows the preconcentration step in which the trap valve and injection valve were opened and the sample was adsorbed to the trap at a constant flow rate (50 mL min−1). The SF6 sampling volume of the trap was preserved because O2 and N2 hardly adsorbed in the Carboxen 1000, as shown in Fig. 1c. Figure 2d shows the flushing step in which residual O2 and N2 in the trap were flushed out by helium. Figure 2e shows the desorption step in which the trap was closed and heated to 200°C to desorb the preconcentrated analyte. Figure 2f shows the injection step in which the two valves were opened, and the desorbed sample was carried by P5 gas, followed by separation of the mixed analytes from the column and injection into the detector. Trap temperature was maintained at 200°C to be baked and then started to cool down. Before proceeding to the next step, all analytes were injected into the GC-μECD. Figure 2g shows the purge step, in which trap valves were kept turned on while the trap cooled down with the injection valve turned off. All gas lines were flushed with He. The preconcentrator was then set to prepare for the next measurement. During GC measurement, samples for the next measurement were preconcentrated, to save running time. For this method, the GC body corresponded to Agilent 6890A, and the μECD corresponded to Agilent G2397A. The precolumn and main column were separated for the backflushing of CFCs. The precolumn corresponded to AA-F1 (80/100 mesh and 1.8 m × 3.2 mm; Restek) and the main column corresponded to AA-F1 (80/100 mesh and 3.7 m × 3.2 mm; Restek). The optimization of the analytical condition is discussed in a later section. The three methodologies were performed by independent GC-μECD systems. The trap temperature for adsorption was set at −30°C. Considering that the measurement precision of the adsorption temperatures between −50° and −20°C were equivalent (Fig. 3c), −30°C was chosen to achieve adequate adsorption power within a short cooling time of 7.5 min. The desorption temperature was set at 200°C and maintained for 5 min. The desorption speed used was appropriate, as shown by clear resolution of SF6 and N2O peaks (inset of Fig. 1c). As the separation column is responsible for chromatographic separation, the broadening of the peak observed at lower temperatures was caused by slowly desorbed analytes. It can be assumed that adequate desorption speed ensured scant carry-over in the trap. The optimized operating conditions for the preconcentrator method are shown in supplemental Table S1.
2. Results and discussion
a. Response of the preconcentrator-GC-µECD system
The response of the preconcentrator-GC-µECD system was tested as a function of sampling volume. The flow rates of the working standard (11.93 pmol mol−1 SF6 in air; D442234) were varied and included 20, 40, 60, and 80 mL min−1 (Fig. 3a). A linear regression analysis exhibited a high correlation to the sample flow rates, with R2 > 0.9999, meaning that the recovery rate of the preconcentration system was linear up to about 48 pmol mol−1 SF6. The ECD measurements with an N2 carrier gas (with CO2 doping) and the µECD with P5 gas showed nonlinear responses at ambient levels (Hall et al. 2011; Lim et al. 2013). This study showed the potential of the preconcentration method to serve as a linearly responding measurement technique. The nonlinearity of the µECD, which strongly depends on the instrument used, can be tuned by adjusting the detector temperature and flow rate of the carrier (or makeup) gas (Fig. S3 in the online supplemental material). Therefore, the linearity condition should be optimized by individual laboratories. Given that a calibration strategy is complicated by a nonlinearly responding instrument with a range of analyte concentrations, the linear-behaving characteristics of the preconcentration method proposed in this study enable a simplified calibration strategy, as well as a drift correction scheme. Though it is expected that the SNR would increase with sample size, we selected a sample flow rate of 40 mL min−1 and a preconcentration time of 5 min. A strong correlation (R2 > 0.9999) between response and preconcentration time was shown in a linear regression, confirming that the linear behavior of the preconcentration method was demonstrated in this study.
b. Limits of detection
c. Test for short-term precision and long-term drift
The standard gas mixture of 11.93 pmol mol−1 SF6 in air (D442234) was measured 10 times consecutively, to evaluate the repeatability of measurements using each of the three methods. For the conventional method, the average SF6 response (peak area) was 858, with a relative standard deviation (RSD) of 0.17% at 1σ. For the FCBF method, the average SF6 response was 1926, with an RSD of 0.14% at 1σ. The repeatability of the FCBF method was slightly better than that of the conventional method, which can be attributed to higher SNR. A lack of oxygen interference from forecut might be another reason for better measurement repeatability. The conventional method requires additional time to cool down the oven, yielding a total run time of 50 min, which is twice the run time of the FCBF method. The average SF6 response from the preconcentration method was 15 241, which was approximately 10 times higher than that of the other two methods. Improved measurement repeatability, to a precision of 0.08% (from 10 consecutive measurements) for 11.93 pmol mol−1 SF6 in air (D442234) was due to a high SNR. This implies a beneficial result from the preconcentration process when conducted under similar detector operating conditions. This result is better than the “Medusa” preconcentrator for GC-MS, which showed a 0.5% annual mean of the standard deviation (Miller et al. 2008). In the case of a preconcentrator, the packed adsorbent Carboxen 1000 effectively dampened pressure fluctuation, as did the flow restrictor installed at the sample loop. This enabled a more consistent sample volume load. In addition, the preconcentration lacked O2, due to the chemical selectivity of the Carboxen 1000. (Fig. 1 c) The absence of oxygen in the μECD detector might contribute to the improved precision of the SF6 measurement (Simmonds et al. 1972).
To assess the long-term instrumental drift, each system was simultaneously tested under same laboratory conditions. The evaluation was performed in the same laboratory for 48 h. During the evaluation, the temperature and pressure were recorded at intervals of 30 min. Gravimetrically prepared gas mixtures (SF6 in air) of 13.29 (D232832), 11.93 (D442241), and 11.93 (D442234) pmol mol−1 were used as the working standards for the conventional method, the FCBF method, and the preconcentration method, respectively. In the conventional method, each measurement was conducted at intervals of 43 min, and 99 valid measurement data points were obtained. For the FCBF method, 140 valid measurement data points were obtained every 30 min. For the preconcentration method, measurements were obtained every 30 min, and 138 valid measurement data points were collected. As shown in Fig. 5, the normalized sensitivity for the three methods is plotted in dotted lines over time. The black lines in Figs. 5a, 5c, and 5e denote the generalized moving average, obtained by using the “LOWESS” algorithm. The moving average of the normalized sensitivity of each method was considered by slowly varying responses corresponding to the long-term asymptote. Therefore, slow drift was separated from randomly scattered values in a short-term time frame, which corresponded to the measurement precision. Therefore, in Figs. 5b, 5d, and 5f, the residuals of each measurement value from the moving average implied measurement precision. Thus, long-term drift and short-term precision were sufficiently decoupled to suppress covariance. The short-term precision exhibited normal distribution, thereby confirming the random effect that governs measurement precision. The corresponding standard deviations (1σ) for each method were 0.22%, 0.20%, and 0.05%, respectively, which were equivalent to the repeatability test by the 10 consecutive measurements described earlier in this section. In all three methods, the normalized sensitivities of each measurement tended to be inversely proportional to the laboratory pressure. The maximum drifts of each method were 2.15%, 1.88%, and 1.82%, where µECDs coupled with the restrictor (for FCBF and preconcentration methods) might have shown a similar extent of drift. Conversely, a less significant correlation with the laboratory temperature was observed. Direct comparison cannot be made because independent detectors were used with each method. Instead, the ratio between the drift rate represented by the maximum deviation of the normalized sensitivity and standard deviation of residuals, called precision-to-drift ratio (PNR), was used as an indicator for comparing methods. Consequently, PNRs of respective methods were 0.10, 0.11, and 0.03 for the conventional, FCBF, and preconcentration methods, respectively, implying that the preconcentration method offers comparative advantage, in terms of the PNR, over other methods. The results indicate that the preconcentration method can be an effective alternative for the standard-free drift correction method, for continuous measurement of atmospheric levels of SF6 by GC-µECD. Drift correction was performed using laboratory-pressure measurements (Fig. 6). The standard deviations (1σ) of relative regular residual representing uncertainty for drift correction by laboratory pressure were 0.40%, 0.24%, and 0.14% for the conventional, FCBF, and preconcentration methods, respectively. The sample size being controlled by the MFC could be affected by temperature variation, because an MFC that is also affected by the surrounding temperature cannot provide an absolute flow rate. Nevertheless, the result implied that temperature variation was less correlated to variations in sensitivity compared to variations in pressure. (Fig. 5h) Considering an atmospheric level of SF6 (10 ppt), the uncertainty of the laboratory-pressure-based correction for the preconcentration method corresponds to 0.014 ppt. Imperfection in decoupling short-term scattering (precision) from the long-term moving average (drift) leads to increased uncertainty regarding laboratory-pressure-based drift correction. The laboratory-pressure-based drift correction for the preconcentration method suggested that this method showed potential as a new method for fulfilling the WMO compatibility goal of SF6 detection, of 0.02 ppt. Considering that the preconcentrator-GC-µECD equipped with the Carboxen 1000 adsorbent showed perfect linearity to atmospheric levels of SF6, as shown in Fig. 3, the preconcentration method might not require multipoint calibration. The preconcentration method, combined with room-pressure drift correction, could significantly reduce the need to run reference standards.
3. Conclusions
A comparative study of the preconcentration method, the conventional method, and the FCBF method was conducted. The conventional method was constructed using an AA-F1 separator and μECD (P-5 carrier gas), while the FCBF method was constructed using PP-Q and MS-5A separators and μECD (P-5 carrier gas). The preconcentrator method was constructed using Carboxen 1000 adsorbent cooled at −30°C, an AA-F1 separator, and μECD (P-5 carrier gas). Long-term drift and short-term precision of the two nonpreconcentration methods were compared with the preconcentration method. Responses for periodic injections of control standards for 48 h were decomposed to short-term precision and long-term drift by using the LOWESS algorithm. This algorithm uses the moving average corresponding to the long-term drift. Short-term precision was represented by the residual of measured values from the moving average and were 0.22%, 0.20%, and 0.05% for the conventional method, the FCBF method, and the preconcentration method, respectively. The SF6 responses deviated as much as 2.15%, 1.88%, and 1.82%, respectively. Inversely proportional relationships between laboratory pressure and responses enabled drift correction by laboratory pressure. Uncertainties of the laboratory-pressure-based drift corrections were 0.40%, 0.24%, and 0.14%, respectively. The laboratory-pressure-based drift correction for the preconcentration method suggests that this method shows potential as a new method for fulfilling the WMO compatibility goal of SF6, 0.02 ppt. Within the finding that the preconcentration method can respond linearly to the atmospheric level of SF6, a multipoint calibration is not required. This suggests that once sensitivity is determined, a calibration standard is not required for a while. In this study, the analytical conditions for pressure drift correction were maintained for 48 h, with a correction uncertainty of 0.14%. Therefore, the preconcentration method might reduce the maintenance effort for continuous measurement and offer high frequency and reasonable quality data on atmospheric levels of SF6. Further investigations regarding an efficient methodology for extending the period of linearly responding behavior by use of the preconcentrator-GC-µECD, and to conduct in situ measurement with the standard-free drift correction scheme, will be pursued in the near future.
Acknowledgments
The study was funded by the Korea Research Institute of Standards and Science (KRISS) under the basic R&D project of establishment of measurement standards for gas analysis (Grant 20011031) and Public Technology Program based on Environmental Policy funded by Korea Ministry of Environment (MOE) (2016000160006).
REFERENCES
Elkins, J. W., 1980: Determination of dissolved nitrous oxide in aquatic systems by gas chromatography using electron-capture detection and multiple phase equilibration. Anal. Chem., 52, 263–267, https://doi.org/10.1021/ac50052a011.
Elkins, J. W., and Coauthors, 1996: Airborne gas chromatograph for in situ measurements of long-lived species in the upper troposphere and lower stratosphere. Geophys. Res. Lett., 23, 347–350, https://doi.org/10.1029/96GL00244.
EPA, 2013: Global non-CO2 greenhouse gas emissions projections and mitigation: 2015–2050. U.S. EPA report and materials, https://www.epa.gov/global-mitigation-non-co2-greenhouse-gases.
Hall, B. D., G. S. Dutton, and J. W. Elkins, 2007: The NOAA nitrous oxide standard scale for atmospheric observations. J. Geophys. Res., 112, D09305, https://doi.org/10.1029/2006JD007954.
Hall, B. D., and Coauthors, 2011: Improving measurements of SF6 for the study of atmospheric transport and emissions. Atmos. Meas. Tech., 4, 2441–2451, https://doi.org/10.5194/amt-4-2441-2011.
Koo, C.-M., K. Lee, M. Kim, and D.-O. Kim, 2005: Automated system for fast and accurate analysis of SF6 injected in the surface ocean. Environ. Sci. Technol., 39, 8427–8433, https://doi.org/10.1021/es050149g.
Levin, I., and Coauthors, 2010: The global SF6 source inferred from long-term high precision atmospheric measurements and its comparison with emission inventories. Atmos. Chem. Phys., 10, 2655–2662, https://doi.org/10.5194/acp-10-2655-2010.
Lim, J. S., D. M. Moon, J. S. Kim, W. T. Yun, and J. Lee, 2013: High-precision analysis of SF6 at ambient level. Atmos. Meas. Tech., 6, 2293–2299, https://doi.org/10.5194/amt-6-2293-2013.
Lim, J. S., J.-B. Lee, D. M. Moon, J. S. Kim, J.-S. Lee, and B. D. Hall, 2017: Gravimetric standard gas mixtures for global monitoring of atmospheric SF6. Anal. Chem., 89, 12 068–12 075, https://doi.org/10.1021/acs.analchem.7b02545.
Maiss, M., and I. Levin, 1994: Global increase of SF6 observed in the atmosphere. Geophys. Res. Lett., 21, 569–572, https://doi.org/10.1029/94GL00179.
Maiss, M., and C. A. M. Brenninkmeijer, 1998: Atmospheric SF6: Trends, sources, and prospects. Environ. Sci. Technol., 32, 3077–3086, https://doi.org/10.1021/es9802807.
Maiss, M., L. P. Steele, R. J. Francey, P. J. Fraser, R. L. Langenfelds, N. B. A. Trivett, and I. Levin, 1996: Sulfur hexafluoride—A powerful new atmospheric tracer. Atmos. Environ., 30, 1621–1629, https://doi.org/10.1016/1352-2310(95)00425-4.
Miller, B. R., R. F. Weiss, P. K. Salameh, T. Tanhua, B. R. Greally, J. Mühle, and P. G. Simmonds, 2008: Medusa: A sample preconcentration and GC/MS detector system for in situ measurements of atmospheric trace halocarbons, hydrocarbons, and sulfur compounds. Anal. Chem., 80, 1536–1545, https://doi.org/10.1021/ac702084k.
O’Doherty, S. J., P. G. Simmonds, and G. Nickless, 1993: Analysis of replacement chlorofluorocarbons using Carboxen microtraps for isolation and preconcentration in gas chromatography-mass spectrometry. J. Chromatogr., 657A, 123–129, https://doi.org/10.1016/0021-9673(93)83043-R.
Olivier, J. G. J., K. M. Schure, and J. A. H. W. Peters, 2017: Trends in global CO2 and total greenhouse gas emissions: 2017 report. PBL Netherlands Environmental Assessment Agency Rep., 69 pp.
Ray, E. A., F. L. Moore, J. W. Elkins, K. H. Rosenlof, J. C. Laube, T. Rockmann, D. R. Marsh, and A. E. Andrews, 2017: Quantification of the SF6 lifetime based on mesospheric loss measured in the stratospheric polar vortex. J. Geophys. Res. Atmos., 122, 4626–4638, https://doi.org/10.1002/2016JD026198.
Simmonds, P. G., G. R. Shoemake, J. E. Lovelock, and H. C. Lord, 1972: Improvements in the determination of sulfur hexafluoride for use as a meteorological tracer. Anal. Chem., 44, 860–863, https://doi.org/10.1021/ac60312a029.
Wanninkhof, R., J. R. Ledwell, and A. J. Watson, 1991: Analysis of sulfur hexafluoride in seawater. J. Geophys. Res., 96, 8733–8740, https://doi.org/10.1029/91JC00104.