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New LA-ICP-MS cryocell and calibration technique for sub-millimeter analysis of ice cores

Published online by Cambridge University Press:  10 July 2017

Sharon B. Sneed*
Affiliation:
Climate Change Institute, University of Maine, Orono, ME, USA School of Earth and Climate Sciences, University of Maine, Orono, ME, USA
Paul A. Mayewski
Affiliation:
Climate Change Institute, University of Maine, Orono, ME, USA School of Earth and Climate Sciences, University of Maine, Orono, ME, USA
W.G. Sayre
Affiliation:
Climate Change Institute, University of Maine, Orono, ME, USA
Michael J. Handley
Affiliation:
Climate Change Institute, University of Maine, Orono, ME, USA
Andrei V. Kurbatov
Affiliation:
Climate Change Institute, University of Maine, Orono, ME, USA School of Earth and Climate Sciences, University of Maine, Orono, ME, USA
Kendrick C. Taylor
Affiliation:
Desert Research Institute, Nevada System of Higher Education, Reno, NV, USA
Pascal Bohleber
Affiliation:
Climate Change Institute, University of Maine, Orono, ME, USA Institute of Environmental Physics, University of Heidelberg, Germany
Dietmar Wagenbach
Affiliation:
Institute of Environmental Physics, University of Heidelberg, Germany
Tobias Erhardt
Affiliation:
Oeschger Center for Climate Change Research and Institute for Climate and Environmental Physics, University of Bern, Bern, Switzerland
Nicole E. Spaulding
Affiliation:
Climate Change Institute, University of Maine, Orono, ME, USA
*
Correspondence: Sharon B. Sneed <sharon.sneed@maine.edu>
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Abstract

Ice cores provide a robust reconstruction of past climate. However, development of timescales by annual-layer counting, essential to detailed climate reconstruction and interpretation, on ice cores collected at low-accumulation sites or in regions of compressed ice, is problematic due to closely spaced layers. Ice-core analysis by laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MS) provides sub-millimeter-scale sampling resolution (on the order of 100 μm in this study) and the low detection limits (ng L−1) necessary to measure the chemical constituents preserved in ice cores. We present a newly developed cryocell that can hold a 1 m long section of ice core, and an alternative strategy for calibration. Using ice-core samples from central Greenland, we demonstrate the repeatability of multiple ablation passes, highlight the improved sampling resolution, verify the calibration technique and identify annual layers in the chemical profile in a deep section of an ice core where annual layers have not previously been identified using chemistry. In addition, using sections of cores from the Swiss/Italian Alps we illustrate the relationship between Ca, Na and Fe and particle concentration and conductivity, and validate the LA-ICP-MS Ca profile through a direct comparison with continuous flow analysis results.

Information

Type
Instruments and Methods
Creative Commons
Creative Common License - CCCreative Common License - BY
Copyright © International Glaciological Society 2015 This is an Open Access article, distributed under the terms of the Creative Commons Attribution license. (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © International Glaciological Society 2015
Figure 0

Fig. 1. (a) Complete Sayre CellTM system. Cryocell moves left and right under the fixed upper rail on Teflon rails using a Kevlar belt. The ablation chamber is fixed in place under the laser, which moves in the x and y directions. (b) Side view of LA system. Upper laser module moves during the ablation pass; ice in the Sayre Cell is stationary. (c) End view into the cryocell. The ice core is placed in the tray, and two risers position it up to the ablation chamber. Cooling coils run the length of the cryocell on both sides from the recirculating chiller. (d) Top view of ablation chamber positioned in center of fixed upper rail of cryocell. Wavelength-specific window held in place with an o-ring and a c-ring to create an airtight seal formed as bottom gasket contacts the ice surface. (e) Image of ablated pass on an ice sample. Triple junction can be seen in the surface.

Figure 1

Fig. 2. Multiple ablation passes in different areas of frozen standard reference material SLRS-5 Ca (green), Na (blue) and Fe (red). Take-up time is not included. Variability in the signal is due to inhomogeneities in the frozen standard.

Figure 2

Fig. 3. Replicate LA-ICP-MS Ca, (green), Na (blue) and Fe (red) profiles in a Greenland ice core, each obtained in the same line. Subsequent ablation pass is 10 μm deeper. Average raw correlations are 0.78, 0.58 and 0.54, and 0.81, 0.88 and 0.75 on smoothed data, for Ca, Na and Fe respectively.

Figure 3

Fig. 4. Raw Ca (green), Na (blue) and Fe (red) concentrations measured using the LA-ICP-MS system on the GISP2 ice core in meter 1678. The mean ten-point smoothed profile of each is included (black curve). Black dotted profile is of the original electrical conductivity measurements. Arrows indicate annual layers as determined using maximum Na peaks in the LA-ICP-MS profiles. Error bar represents combined depth error estimates for LA-ICP-MS (±0.5 cm) and GISP2 ECM (±0.5 cm). LA-ICP-MS detection limits are 2.1, 2.3 and 0.1 μg L−1 for Ca, Na and Fe respectively, and analytical error estimates are a few percent for ECM.

Figure 4

Fig. 5. Raw and smoothed (ten-point running mean) LA-ICP-MS results from GISP2 at 2680 m. Ca (green), Na (blue) and Fe (red). Arrows indicate annual-layer picks based on Na peaks.

Figure 5

Fig. 6. Smoothed LA-ICP-MS (ten-point running mean) Ca (green), Na (blue) and Fe (red) profiles measured on GISP2 ice core superimposed with simulated 1 cm data (black lines with dots) based on averaging of LA-ICP-MS results. Original Ca2+ and Na+ measured by IC presented as horizontal bars at 10 cm sample resolution. Arrows indicate annual-layer picks based on Na peaks.

Figure 6

Fig. 7. Results from LA-ICP-MS analyses of the 2003 Colle Gnifetti ice core. Panels show ten-point smooth LA-ICP-MS Ca (green), Na (blue) and Fe (red). Superimposed are cm-resolution CFA data of meltwater conductivity (solid black curve) and particle content (dashed black curve). Error bar represents combined depth error estimates for LA-ICP-MS (±0.5 cm) and CFA (±1.0 cm). LA-ICP-MS detection limits (not shown) are 2.1, 2.3 and 0.1 μg L−1 for Ca, Na and Fe respectively, ±0.2% for meltwater conductivity, and particle sizes are >1 μm.

Figure 7

Fig. 8. Comparison of 80 cm of LA-ICP-MS Ca and CFA Ca2+on a Colle Gnifetti ice core collected in 2013 measured on subsections of the same ice-core segment. Top panel is full resolution LA-ICP-MS Ca; bottom LA-ICP-MS is Ca (green) smoothed to simulate the sample resolution of the CFA data (black).