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An improved setup for radiocarbon analysis of water-soluble organic carbon in environmental matrices

Published online by Cambridge University Press:  05 December 2024

Jan Strähl
Affiliation:
Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern, 3012, Switzerland Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland
Franziska A Lechleitner
Affiliation:
Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern, 3012, Switzerland Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland
Thomas Laemmel
Affiliation:
Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern, 3012, Switzerland Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland
Dylan Geissbühler
Affiliation:
Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern, 3012, Switzerland Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland
Gary A Salazar
Affiliation:
Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern, 3012, Switzerland Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland now at: Department of Physics, and A. E. Lalonde AMS Laboratory, University of Ottawa, Ottawa, ON K1N 6N5, Canada
Kaspar R Daellenbach
Affiliation:
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen-PSI, 5232, Switzerland
Sönke Szidat*
Affiliation:
Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern, 3012, Switzerland Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland
*
Corresponding author: Sönke Szidat; Email: soenke.szidat@unibe.ch
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Abstract

This paper presents an improved setup for radiocarbon analysis of water-soluble organic carbon based on wet chemical oxidation as installed at the Laboratory for the Analysis of Radiocarbon with AMS (LARA) at the University of Bern. The implementation of a non-dispersive infrared CO2 detector allows more precise and accurate quantification of carbon amounts in samples and establishes the possibility of simple monitoring of the efficacy of flushing and sampling processes. A detailed blank assessment unveiled undesired oxidation of different materials and sample temperature as critical factors regarding the level of constant contamination. Contamination arising from oxidation of septum pieces and carbon-based glues in conventional sampling needles was minimized by developing a glass-sintered needle. This new needle was also designed to be longer, reducing the minimum amount of sample solution needed to 2 mL. The oxidation time and temperature (1 hr at 75°C) were optimized to further decrease contamination during analyses of samples with carbon amounts of up to ∼50 µg. With these improvements, we now report low constant contamination levels of 0.62 ± 0.12 µg C (with F14C of 0.19 ± 0.04), whereas the cross contamination factor was determined to be 0.25 ± 0.07%.

Information

Type
Technical Note
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of University of Arizona
Figure 0

Figure 1. A: Setup for wet chemical oxidation at LARA. The heating block of the CHS has 42 positions for vials and its temperature is set with a temperature controller (TC). The helium flow is regulated with a mass flow controller (MFC) (the connection of the gas line to the MFC is not shown for the sake of simplicity). The needle is operated with an autosampler to flush CO2 from the headspace of the vials towards the LI-850 for detection passing two intermediary water traps. B: Closeup of the glass-sintered needle. Helium (green) enters the vial through the bottom side port to flush the CO2 (orange) from the headspace through the upper side port towards the LI-850. The shaded area represents the soda lime glass that seals the space between the inner and the outer capillary. The needle is not true to scale compared to the vial, but made wider in favor of perceptibility.

Figure 1

Figure 2. Measured F14C values (red diamonds) for different amounts of NaOAc (left) and OxII (right). Error bars indicate the measurement uncertainty. The grey line represents the chi-square-fitted curve with the uncertainty range (dashed lines), as described in Hanke et al. (2017).

Figure 2

Table 1. Effect of different changes in the wet chemical oxidation protocol on the contamination level. Deviation refers to the normal protocol as described in the Methods section, i.e. 3 min of flushing, 5 mL of water, 0.5 mL of 8.5% H3PO4, 0.25 mL of 10% sodium persulfate solution

Figure 3

Figure 3. Left: Linear fit for the time dependency of the contamination level at room temperature (blue) and 75°C (red). At 75°C, the contamination seems to reach a maximum level after ∼30 hr of oxidation and scatters around a mean value of 3.1 ± 0.3 μg C afterwards. The last 8 values (triangles) are therefore not included for the linear fit. Right: Contamination level after ∼1 h at 75°C dependent on the mixture of components (water, acid, oxidizer) added to the vial. Samples are treated according to the above-mentioned wet chemical oxidation protocol by just skipping the not listed components.

Figure 4

Figure 4. Comparison of identical samples measured with the herein described optimized setup installed at LARA and a commercially available TOC analyzer installed at PSI.

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