Hostname: page-component-74656f9884-8r8nv Total loading time: 0 Render date: 2026-11-07T03:12:41.913Z Has data issue: false hasContentIssue false

BATCH PROCESSING OF TREE-RING SAMPLES FOR RADIOCARBON ANALYSIS

Published online by Cambridge University Press:  03 December 2020

Alexandra Fogtmann-Schulz*
Affiliation:
Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, 8000 Aarhus, Denmark
Sabrina G K Kudsk
Affiliation:
Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, 8000 Aarhus, Denmark
Florian Adolphi
Affiliation:
Department of Geology, Quaternary Sciences, Lund University, Sölvegatan 12, 223 62 Lund, Sweden Climate and Environmental Physics, Physics Institute & Oeschger Centre for Climate Change Research, University of Bern, Hochschulstrasse 4, 3rd floor west, 3012 Bern, Switzerland
Christoffer Karoff
Affiliation:
Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, 8000 Aarhus, Denmark Stellar Astrophysics Centre, Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, 8000 Aarhus, Denmark
Mads F Knudsen
Affiliation:
Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, 8000 Aarhus, Denmark
Neil J Loader
Affiliation:
Department of Geography, Wallace Building, Swansea University, Singleton Park, Swansea, SA2 8PP, United Kingdom
Raimund Muscheler
Affiliation:
Department of Geology, Quaternary Sciences, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
Pernille L K Trant
Affiliation:
Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, 8000 Aarhus, Denmark
Stine M Østbø
Affiliation:
Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, 8000 Aarhus, Denmark
Jesper Olsen
Affiliation:
Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, 8000 Aarhus, Denmark
*
*Corresponding author. Email: alfosc@geo.au.dk.
Rights & Permissions [Opens in a new window]

Abstract

We here present a comparison of methods for the pretreatment of a batch of tree rings for high-precision measurement of radiocarbon at the Aarhus AMS Centre (AARAMS), Aarhus University, Denmark. The aim was to develop an efficient and high-throughput method able to pretreat ca. 50 samples at a time. We tested two methods for extracting α-cellulose from wood to find the most optimal for our use. One method used acetic acid, the other used HCl acid for the delignification. The testing was conducted on background 14C samples, in order to assess the effect of the different pretreatment methods on low-activity samples. Furthermore, the extracted wood and cellulose fractions were analyzed using Fourier transform infrared (FTIR) spectroscopy, which showed a successful extraction of α-cellulose from the samples. Cellulose samples were pretreated at AARAMS, and the graphitization and radiocarbon analysis of these samples were done at both AARAMS and the radiocarbon dating laboratory at Lund University to compare the graphitization and AMS machine performance. No significant offset was found between the two sets of measurements. Based on these tests, the pretreatment of tree rings for high-precision radiocarbon analysis at AARAMS will henceforth use HCI for the delignification.

Information

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press for the Arizona Board of Regents on behalf of the University of Arizona
Figure 0

Table 1 The main steps of pretreatment of the revised* Loader method (Loader et al. 1997) and Southon method (Southon and Magana 2010) are shown in the table as well as the resulting procedure used in the AARAMS lab. Between each part of the pretreatment, the samples are rinsed with deionized or Milli-Q water to neutral pH.

Figure 1

Figure 1 (a) The experimental setup during pretreatment. 48 glass vials are placed in a water bath and connected via valves and tubes to a vacuum pump, so chemicals from individual vials can be pumped out and collected in an Erlenmeyer flask. (b) A glass vial for one sample during pretreatment.

Figure 2

Figure 2 (a) Absorbance spectra of six wholewood subsamples that have been delignified between 1 and 6 hours. (b) Absorbance spectra of four samples. The peaks marked by letters are explained in the text.

Figure 3

Table 2 The charcoal backgrounds used in the project with 1 standard deviation in parentheses.

Figure 4

Table 3 The MIS7 kauri and Eemian oak backgrounds used in the project with 1 standard deviation in parentheses.

Figure 5

Figure 3 Histogram of all kauri (AAR-21745) and charcoal (AAR-1351) samples measured between 2016 and 2020 in AARAMS. A Gamma probability distribution is fitted to both histograms from which a mean and standard deviation are estimated for both kauri (AAR-21745) and charcoal (AAR-1351). For comparison, the mean F14C background values of Eemian oak and kauri presented in Tables 2 and 3 are also shown.

Figure 6

Table 4 Samples from the Sch wood measured both at AARAMS and at the radiocarbon dating laboratory at Lund University. All samples are pretreated following the Loader method. Subsequently, the α-cellulose is divided in two, one sample is measured at AARAMS and the other sample is measured in Lund. The steps following the pretreatment are carried out at the different labs. The difference between the two values measured for two samples from the same year is also shown as well as the difference in terms of the standard deviation. The two samples from the year AD 1446 have the biggest deviation (3.5 σ) and could be analytical outliers. Therefore, the mean and weighted mean are calculated both with and without these samples.