ANALYTICAL SCIENCES JANUARY 2013, VOL. 29 9 2013 © The Japan Society for Analytical Chemistry Fast Measurement of Dissolved Inorganic Carbon Concentration for Small-Volume Interstitial Water by Acid Extraction and Nondispersive Infrared Gas Analysis Takuroh NOGUCHI,*† Mayumi HATTA,* Toshiro YAMANAKA,** and Kei OKAMURA* *Center for Advanced Marine Core Research, Kochi University, B200 Monobe, Nankoku, Kochi 783–8502, Japan **Faculty of Science, Okayama University, 3-1-1 Tsushimanaka, Okayama 700–8530, Japan We developed a system for measuring the total dissolved inorganic carbon (DIC) concentrations in interstitial water and hydrothermal fluid, which are hard to obtain in large volumes. The system requires a sample volume of only 500 μL, and it takes only 150 s per one sample. The detection limit of this system was estimated to be 66.6 μmol/kg with repeated analysis of CO2-free ultrapure water (n = 9). The precision of this nondispersive infrared (NDIR) system was ±3.1% of the relative standard deviations (2σ) by repeated CRM batch 104 (n = 10). This result is much larger than the required precision for oceanographic studies, but is comparable to a previous result of interstitial water analysis. An on-site trial showed a significant DIC enrichment in interstitial water of hydrothermally altered sediment, and is considered to occur by the mixing of hydrothermal fluid. This procedure will achieve carbon dioxide flux calculations from hydrothermal activities, and will bring a more accurate feature on the global carbon cycle. (Received August 10, 2012; Accepted October 12, 2012; Published January 10, 2013) Introduction The ocean is the largest reservoir of carbon on Earth, storing about 50-times as much carbon as the atmosphere.1 Because accurate measurements of the CO2 content of the ocean is important for studying biogeochemical processes as well as for evaluating the effects of increases in anthropogenic CO2 emissions on the global carbon cycle and climate change, methods for accurate analysis of the carbonate system are required. The carbonate system can be described by four parameters: pH, total alkalinity (AT), total dissolved inorganic carbon (DIC) concentration, and CO2 fugacity (fCO2). Given any two of the four parameters, the remaining two can be calculated from thermodynamic constants.2 The analysis of fCO2 presents some difficulties, particularly for deep seawater samples, in terms of sampling and determination because it is hard to maintain the in-situ water pressure during sample recovery. However, fCO2 has been accurately and continuously measured in surface seawater in various environments (e.g., the open ocean and coral reefs) for the purpose of estimating the air–sea CO2 flux.3–5 On-site pH is usually measured with pH electrodes, but the values obtained by this method are affected by the variable ionic strength of seawater. Therefore, colorimetric methods for To whom correspondence should be addressed. E-mail: [email protected] T. N. present address: Marine Technology and Engineering Center, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2-15 Natsushima-cho, Yokosuka, Kanagawa 237–0061, Japan. † measuring the pH, as well as AT, have been developed to improve both the precision and accuracy.6–8 Coulometric methods for the determination of DIC concentration in seawater have been available since the mid-1980s, and among the four carbonate system parameters, the DIC concentration has been measured with the greatest accuracy and precision.9–11 Nondispersive infrared (NDIR) gas analysis has also been used for the rapid measurement of DIC concentration.12,13 The development of accurate and precise measurement techniques has allowed the distribution and behavior of anthropogenic CO2 in the ocean to be clearly characterized.14 In contrast, the influence of hydrothermal activity and gas hydrates on the seafloor (discovered in the 1970s),15 as well as associated chemosynthetic organisms, on the supply of CO2 in the ocean and on the global carbon cycle has not been fully explored. Hydrothermal fluid and gas hydrates generally contain large amounts of CO2 produced by volcanic activity and underground diagenesis. In addition, recent molecular phylogenetic studies have indicated that a large amount of biomass exists a few cm to a few km below the ground widely (sediment to upper oceanic crust), and that hydrothermal and gas hydrate fields are concentrated areas of microbial activity.16,17 Therefore, analysis of the carbonate system in hydrothermal fluids and interstitial water in hydrothermal and gas hydrate fields is important for estimating its influence on the global carbon cycle. However, collecting samples of these fluids in sufficient volume is difficult, which limits our ability to analyze the carbonate system in such fluids. Even in porous surface sediments, only 10 – 20 mL of interstitial water can generally be Adapting the collected from 30 – 40 mL of sediment. coulometric analysis procedure for measuring the DIC concentration described in the standard operation procedure of 10 Fig. 1 Schematic diagram of the system used for measuring the DIC concentration. the United States Department of Energy is difficult for smallvolume samples.11 NDIR detection has been reported to afford the same level of accuracy and precision as coulometric detection, which suggested the possibility for reducing the sample volume.18 Our objective in this study was to modify a reported rapid DIC analysis procedure, which involves CO2 extraction with phosphoric acid and NDIR detection, for use with hydrothermal fluid and interstitial water samples. Here, we report on the development and evaluation of a method for a rapid analysis of DIC concentrations in small samples. We also describe the use of the modified method for onboard DIC analysis at Wakamiko submarine crater in Kagoshima bay. Experimental Reagents We prepared sodium carbonate standard solutions by diluting a 0.05 mol/L sodium carbonate solution for quantitative analysis (f = 1.003; Wako Pure Chemicals, Japan) with CO2-free ultrapure water. The density of the commercial 0.05 mol/L sodium carbonate solution was 1.00254 g/mL at 25° C, as measured with a density/specific gravity meter (DA-650, Kyoto Electronics Manufacturing Co., Japan). Prior to use, the ultrapure water was stripped of CO2 with a stream of G1-grade N2 gas (<0.1 ppm CO2) for 10 min. Phosphoric acid (8.5%) for acidification of the samples was prepared by 10-fold dilution of analytical-reagent-grade 85% phosphoric acid (Wako Pure Chemicals, Japan) and stored in glass bottle. The 8.5% phosphoric acid solution was also purged with a stream of G1-grade N2 gas for 10 min to strip the CO2. Water vapor in the gas stream exiting from the sample container was trapped with a column of magnesium perchlorate. Instruments A schematic diagram of the analytical system (including the CO2 gas extractor and detector) is shown in Fig. 1. Teflon tubing was used to carry gases and reagents; 500 μL of a sample solution was pipetted to a 2.5-mL polycarbonate vial with a 1000-μL micropipette (Finnpipette, Thermo, Finland), and was then attached onto a polytetrafluoroethylene pedestal (Fig. 1). After attachment of the polycarbonate vial, the residual CO2 gas in the headspace of the vial was purged with N2. Once N2 gas flow was stopped, 0.5 mL of 8.5% phosphoric acid was added ANALYTICAL SCIENCES JANUARY 2013, VOL. 29 Fig. 2 (a) NDIR chromatogram in three different N2 carrier gas flow rates (140 mL/min (solid circle), 160 mL/min (solid square), and 180 mL/min (solid triangle)). (b) Calibration curves for three different sample volumes (200 μL (solid circle), 500 μL (solid square), and 1000 μL (solid triangle)). The dash line shows 95% confidence lines of each calibration carve for 3 times of repetition. by means of a 1.0-mL plastic syringe, and then N2 bubbling was started (the flow rate was fixed at 160 mL/min). The extracted CO2 was detected using a NDIR gas analyzer (LI-820, Li-COR) over the course of 150 s. Validations on the sampling volume and the flow rate of N2 gas are discussed in following section, “Measurement conditions”. To evaluate the accuracy of the NDIR detector, we connected a coulometer (CM5012, UIC Inc.) to the gas-out line from the NDIR to measure the CO2 concentration in the gas stream. Results and Discussion Measurement conditions First, we evaluated the influence of the N2 flow rate (140, 160, or 180 mL/min) on the NDIR chromatogram in the case of 500 μL of a 2000 μmol/kg Na2CO3 standard solution (Fig. 2a). At all three flow rates, the peak area for the DIC fell within the 150 s detection interval for 500 μL of a solution with a DIC concentration of 2000 μmol/kg. However, when we analyzed more than the DIC concentration of a 3000 μmol/kg solution at a flow rate of 140 mL/min, the peak tailing extended beyond the detection interval (data not shown). In addition, the peak area decreased with increasing the N2 flow rate (Fig. 2a). Increasing the flow rate above 160 mL/min permitted more-rapid analysis, but the higher flow rate reduced the peak area, and thus increased the relative measurement error. Therefore, we fixed a flow rate of 160 mL/min for the remainder of the experiments in this study. Slight fluctuations in the N2 gas flow rate influenced the counting efficiency of NDIR detection. Therefore, it is important for precise analysis to control the flow rate carefully, for example, by introducing a mass flow controller to the system. We next evaluated the effect of the sample volume by preparing calibration curves for sample volumes of 200, 500, and 1000 μL with 830, 1910, 2880, and 3750 μmol/kg Na2CO3 standard solutions at 160 mL/min of N2 flow (Fig. 2b). The dash lines indicates the 95% confidence intervals of each calibration curve, and the error bars show the standard deviation (2σ) of each standard solution. The fact that the calibration curve for each volume shows a good correlation with the standard concentration at the constant flow rate indicates that the detector was not saturated. The calibration curve of 1000 μL had a larger variation than that of 200 and 500 μL. There is no significant difference between the calibration curves of 200 μL and 500 μL, but 200 μL of a sample might be more effective ANALYTICAL SCIENCES JANUARY 2013, VOL. 29 Fig. 3 Comparison of the NDIR and coulometric results for sodium carbonate standard solutions at four DIC concentrations. The black solid circle shows the average values of CRM batch 104 measured by the NDIR and coulonmeter for 10 repetitions. The error bar shows 2 times of the standard deviation (2σ) of each detector. The grayish solid square and error bar show the certificated value and error. during sample handling (e.g. evaporation and/or pipetting) than 500 μL. Therefore, we fixed that 500 μL of a sample would be used for the remainder of the experiments in this study. Precision and accuracy The limit of quantitation for the procedure, which we calculated by multiplying the standard deviation of the results of repeated analyses of blanks (n = 9) by 10, was 66.6 μmol/kg. To estimate the precision and accuracy of our method, we conducted repeated measurements (n = 10) with a certified reference material (CRM batch 104; DIC concentration, 2020.10 ± 0.38 μmol/kg; supplied by A. Dickson, Scripps Institute of Oceanography, USA). Figure 3 shows a comparison of NDIR with the coulonmetric detection of CRM batch 104. The DIC concentrations of the CRM determined with the NDIR and the coulometer were 2033 ± 63 μmol/kg and 2018 ± 99 μmol/kg, respectively. The relative standard deviations (2σ) of the NDIR and coulometric values were ±3.1% and ±4.9%, respectively. The results obtained with both detectors were within the range of the certificated concentration. The relative standard deviation of the NDIR results was slightly lower than that of the coulometric results. The precision and accuracy obtained with this method did not satisfy the requirements for global carbonate cycle estimation, because the precision and accuracy on DIC analysis in open ocean seawater require ±1 and ±2 μmol/kg, respectively.2 However, the DIC concentration in interstitial water is generally up to an order of magnitude higher than that in seawater. For example, one reference shows the isotopic composition and concentration of total inorganic carbon on interstitial water.19 They showed that the analytical precision ranged approximately a few %, but it is sufficient precision to discuss the geochemical feature within the sediment (e.g. microbial activity and decomposition of organic materials). We suspected that the major source of measurement error to be caused by sample quantification with a 1000 μL micropipette, which had a reproducibility of 1 – 1.5%; 11 Fig. 4 Location of Wakamiko crater in Kagoshima bay. however, we chose the micropipette for sample injection for reducing the measurement time because of the simple and easy handling. In the case of more precise and accurate analysis, we have to choose some other alternative sample injection system, which should have better reproducibility. An alternative candidate of sample injection with good reproducibility is sample loop injection (500 μL), which achieves less than a 0.1% relative standard deviation. The use of sample loop injection can be expected to reduce the measurement error to a few μmol/kg, which should result in sufficient accuracy and precision for not only interstitial water, but also oceanographic and limnologic samples. In future work, we hope to improve the precision by using a sample loop system for sample injection instead of a micropipette. On-site analysis at Wakamiko submarine crater We conducted the DIC analysis on interstitial water and hydrothermal fluid from Wakamiko submarine crater in Kagoshima bay during the NT12-08 cruise in 2012 (Fig. 4). Hydrothermal fluid and associated gas venting at Wakamiko crater was discovered using a ROV Hakuyo in 1977.20 Venting gas was mainly composed of carbon dioxide (77 – 92 vol.%), and also contained methane (5 – 20 vol.%), nitrogen (2 – 7 vol.%), and hydrogen sulfide (0.1 – 1.3 vol.%). The observed maximum temperature of hydrothermal fluid was 215° C, and hydrothermal petroleum and a high concentration of poly-aromatic hydrocarbon (PAHs) were discovered in a sediment sample, which originated by the interaction between the high-temperature hydrothermal fluid and the sediment.21,22 We collected one hydrothermally altered sediment core (1366-MB) and one less-altered sediment core (1363-MB) by a push corer using a ROV Hyper Dolphine of JAMSTEC (Japan Agency for Marine-Earth Science and Technology). Immediately after recovery of the sediment cores, approximately 30 – 40 cm3 of sediment blocks were sub-sampled at 5 cm intervals. Interstitial water was squeezed from each sediment block through a titanium mesh, paper filter, and a 0.45-μm membrane disc filter and collected in a 3-mL glass vial. About 300 mL of hydrothermal fluid was collected by a ROCS (rotary clean 12 ANALYTICAL SCIENCES JANUARY 2013, VOL. 29 Fig. 5 Vertical profiles of the DIC, total alkalinity, ammonium, and silica of interstitial water squeezed from 1366-MB (well-altered) and 1363-MB (less-altered) sediment cores. seawater sampler, Nichiyu Giken Kogyo Co. Ltd., Japan) from a hydrothermal vent at Wakamiko crater.23 Hydrothermal fluid was also filtered through a 0.45-μm membrane disc filter, and collected in a 3-mL glass vial. The total alkalinity was measured by Gran plot titration with a pH electrode (PHC2401, Radiometer Inc., France). Ammonium and silica analysis of interstitial water samples were conducted using traditional colorimetric procedures (indophenol method for ammonium and molybdenum blue method for silica).24 Figure 5 shows vertical profiles of the DIC, total alkalinity, ammonium, and silica in interstitial water samples collected from Wakamiko crater. The 1366-MB core (well-altered) contained higher DIC, total alkalinity, ammonium, and silica concentration than the 1363-MB core (less-altered), and each concentration was increased with the sediment depth increasing. The results for the total alkalinity, ammonium, and silica agree with a previous study.25 The DIC concentration in interstitial water fluctuated from 2000 to 12000 μmol/kg, and the venting hydrothermal fluid reached to 20000 μmol/kg (this DIC value of hydrothermal fluid is not described in Fig. 5). The vertical profile of DIC was correlated with alkalinity, ammonium, and silica; it is suggested that the mixing of ambient seawater and high temperature hydrothermal fluid had occurred in the sediment. The significantly high DIC concentration in hydrothermal fluid seems to be supplied from the volcanic gas and organic material decomposition beneath the seafloor. Our result concerning this on-site analysis shows the distribution and behavior of the DIC in the interstitial water and hydrothermal fluids. It is expected that we will be able to detect the DIC flux from not only high-temperature hydrothermal fluid venting, but also low-temperature diffusive flow, which it will allow the more accurate estimations on global CO2 flux. Conclusions We developed a rapid procedure for DIC analysis in small-volume (500 μL) fluid samples. One measurement took only 150 s, and the fluctuation of the N2 gas flow rate caused a variation of the NDIR detection efficiency. The detection limit of this system was estimated to be 66.6 μmol/kg with repeated analysis of CO2 free ultrapure water (n = 9). The average DIC concentration and measurement error was 2033 ± 63 μmol/kg, which was calculated with repeated CRM batch 104 (certificated DIC value: 2020.10 ± 0.38 μmol/kg), and the relative standard deviation (2σ) was ±3.1%. This result is much larger than the required precision for accurate oceanographic studies, but it is comparable to a previous report on interstitial water analysis. The analytical precision will be improved by replacing the sample-injection system from the micropipette to the sample loop for future oceanographic studies. Hydrothermally altered sediment core (1366-MB) has a significant enrichment of DIC in interstitial water, influenced by the hydrothermal fluid input. In the hydrothermal field at Wakamiko crater, CO2 supply from volcanic gas and thermogenic CO2 (decomposition of organic materials) may have caused DIC enrichment in the hydrothermal fluid. This procedure will be able to detect the DIC flux from not only high-temperature hydrothermal fluid venting, but also the low-temperature diffusive flow, which will achieve a more accurate feature on the global carbon cycle. Acknowledgements This study was supported by a Grant from the Ministry of Education, Culture, Sports, Science and Technology, Japan (“Development of new tools for the exploration seafloor resources”). We acknowledge H. Kimoto and T. Suzue of Kimoto Electric Co. developing the DIC analyzer. We also thank the officers and crew of the R/V Natsushima, the crew of the ROV Hyper Dolphine, and the scientists who participated in the NT12-08 cruise of the R/V Natsushima (Japan Agency for Marine-Earth Science and Technology) for water sample collection. We also thank for M. Utsumi in Univ. Tsukuba for the ROCS sampling arrangement and preparation. References 1. U. Seigenthaler and J. L. Sarmiento, Nature, 1993, 365, ANALYTICAL SCIENCES JANUARY 2013, VOL. 29 119. 2. F. J. Millero, Geochim. Cosmochim. Acta, 1995, 59, 661. 3. N. R. Bates, T. Takahashi, D. W. Chipman, and A. H. Knap, J. Geophys. Res., 1998, 103, 15567. 4. T. Takahashi, S. C. Sutherland, C. Sweeney, A. Poisson, N. Metzl, B. Tilbrook, N. Bates, R. Wanninkhof, R. A. Feely, C. Sabine, J. Olafsson, and Y. Nojiri, Deep-Sea Res. Part II, 2002, 49, 1601. 5. H. Kawahata, A. Suzuki, T. Ayukai, and K. Goto, Mar. Chem., 2000, 72, 257. 6. D. W. King and D. R. Kester, Mar. Chem., 1989, 26, 5. 7. J. A. Breland and R. H. Byrne, Deep-Sea Res. Part I, 1993, 40, 629. 8. K. Okamura, H. Kimoto, and T. Kimoto, Anal. Sci., 2010, 26, 709. 9. K. M. Johnson, A. E. King, and J. M. Sieburth, Mar. Chem., 1985, 16, 61. 10. K. M. Johnson, K. D. Wills, D. B. Butler, W. K. Johnson, and C. S. Wang, Mar. Chem., 1993, 44, 167. 11. A. G. Dickson, C. L. Sabine, and J. R. Cheistian (Eds.), “Guide to best practices for ocean CO2 measurement”, PICES Special Publication 3, 2007. 12. C. Goyet and A. K. Snover, Mar. Chem., 1993, 44, 235. 13. D. W. O’Sullivan and F. J. Millero, Mar. Chem., 1998, 60, 75. 14. C. L. Sabine, R. A. Feely, N. Gruber, R. M. Key, K. Lee, J. L. Bullister, R. Wanninkhof, C. S. Wang, D. W. R. Wallace, B. Tilbrook, F. J. Millero, T. H. Peng, A. Kozyr, T. Ono, and A. F. Rios, Science, 2004, 305, 367. 13 15. J. B. Corliss, L. I. Gordon, J. M. Edmond, R. P. Van Herzen, R. D. Ballard, K. Green, D. Williams, A. Bainridge, K. Crane, and R. H. Van Andle, Science, 1979, 203, 1073. 16. W. B. Whiteman, D. C. Coleman, and W. J. Wiebe, Proc. Natl. Acad. Sci., 1998, 95, 6578. 17. M. L. Sogin, H. G. Morrison, J. A. Huber, D. M. Welch, S. M. Huse, P. R. Neal, J. M. Arrieta, and G. J. Herndl, Proc. Natl. Acad. Sci., 2006, 103, 12115. 18. S. Kaltin, C. Haraldsson, and L. G. Anderson, Mar. Chem., 2005, 96, 53. 19. T. Yang and S.-Y. Jiang, Rapid Commun. Mass Spectrom., 2012, 26, 805. 20. J. Ossaka, J. Hirabayashi, K. Nogami, M. Kuroasaki, and J. Hashimoto, in Proceedings of the JAMSTEC Symposium on Deep Sea Research (in Japanese with English abstract), 1992, 8, 75. 21. T. Yamanaka, C. Mizota, T. Murae, and J. Hashimoto, Geochem. J., 1999, 33, 335. 22. T. Yamanaka, J. Ishibashi, and J. Hashimoto, Org. Geochem., 2000, 31, 1117. 23. T. Yamanaka and NT12-08 onboard Scientists, Natsushima “Cruise Report” NT12-08, 2012, Japan Agency for MarineEarth Science and Technology, Yokosuka, Japan. 24. J. M. Gieskes, T. Gamo, and H. Burnsack, Ocean Drilling Program Technical Note 15, College Station, TX, 1991. 25. J. Ishibashi, M. Nakaseama, M. Seguchi, T. Yamashita, S. Doi, T. Sakamoto, K. Shimada, N. Shimada, T. Noguchi, T. Oomori, M. Kusakabe, and T. Yamanaka, J. Volcanol. Geotherm. Res., 2008, 173, 84.
© Copyright 2026 Paperzz