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Rapid 14C Analysis of Dissolved Organic Carbon in Non-Saline Waters

Published online by Cambridge University Press:  24 June 2016

Susan Q Lang*
Affiliation:
Department of Earth Sciences, ETH Zürich, 8092 Zürich, Switzerland Department of Earth and Ocean Sciences, University of South Carolina, Columbia, SC 29208, USA
Cameron P McIntyre
Affiliation:
Laboratory of Ion Beam Physics, ETH Zürich, 8093 Zürich, Switzerland Current address: Scottish Universities Environmental Research Centre, Glasgow, Scotland
Stefano M Bernasconi
Affiliation:
Department of Earth Sciences, ETH Zürich, 8092 Zürich, Switzerland
Gretchen L Früh-Green
Affiliation:
Department of Earth Sciences, ETH Zürich, 8092 Zürich, Switzerland
Britta M Voss
Affiliation:
Woods Hole Oceanographic Institution, Department of Marine Chemistry & Geochemistry, Woods Hole, MA 02543, USA Massachusetts Institute of Technology, Department of Earth, Atmospheric & Planetary Sciences, Cambridge, MA 02139, USA
Timothy I Eglinton
Affiliation:
Department of Earth Sciences, ETH Zürich, 8092 Zürich, Switzerland
Lukas Wacker
Affiliation:
Laboratory of Ion Beam Physics, ETH Zürich, 8093 Zürich, Switzerland
*
*Corresponding author. Email: slang@geol.sc.edu.
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Abstract

The radiocarbon content of dissolved organic carbon (DOC) in rivers, lakes, and other non-saline waters can provide valuable information on carbon cycling dynamics in the environment. DOC is typically prepared for 14C analysis by accelerator mass spectrometry (AMS) either by ultraviolet (UV) oxidation or by freeze-drying and sealed tube combustion. We present here a new method for the rapid analysis of 14C of DOC using wet chemical oxidation (WCO) and automated headspace sampling of CO2. The approach is an adaption of recently developed methods using aqueous persulfate oxidant to determine the δ13C of DOC in non-saline water samples and the 14C content of volatile organic acids. One advantage of the current method over UV oxidation is higher throughput: 22 samples and 10 processing standards can be prepared in one day and analyzed in a second day, allowing a full suite of 14C processing standards and blanks to be run in conjunction with samples. A second advantage is that there is less potential for cross-contamination between samples.

Information

Type
Research Article
Copyright
© 2016 by the Arizona Board of Regents on behalf of the University of Arizona 
Figure 0

Figure 1 F14C versus µg C of sucrose (upper panels, F14C = 1.053 ± 0.003) and phthalic acid (lower panels, F14C < 0.002). The solid line in both panels represents the idealized mixture between the standards and a blank with characteristics determined for that particular run (see Table 1). Dashed lines represent 95% confidence intervals. Individual markers are not corrected for blanks; the y axis error bars represent the instrument error only (±1σ).

Figure 1

Figure 2 Corrected F14C values of phthalic acid standards (upper plot, F14C < 0.002) and sucrose standards (lower plot, F14C = 1.053 ± 0.003) versus µg C. Individual analyses from sequence C130304CM1G (empty squares), C130419G (black triangles), and C140708SL1G (gray triangles) are plotted with error bars representing the propagated error of analyses.

Figure 2

Table 1 Composition of the WCO processing blank determined for each batch of samples, as determined using two standards (sucrose and phthalic acid).

Figure 3

Table 2 Environmental samples analyzed by WCO method.

Figure 4

Figure 3 Comparison of F14Cmeas (gray circles) and F14Ccorr (empty triangles) versus μg C. Error bars are either instrument error (F14Cmeas) or propagated error (F14Ccorr). For samples with large amounts of carbon and/or F14C values similar to the processing blank (0.170–0.274), the marker points overlap. Modern samples with low amounts of carbon required the largest absolute corrections to account for the presence of extraneous carbon during processing.

Figure 5

Table 3 Summary comparison of environmental samples analyzed by wet chemical oxidation, UV oxidation, and quartz tube combustion. For F14C, propagated errors incorporate both the measurement error and the correction for the presence of the processing blank. In cases where a sample was analyzed multiple times, the standard deviation of multiple analyses is reported. (n.d. is not determined).