V033-0005
Advances in NCS bulk isotope analysis: getting more with less

Monday, 14 December 2020
Poster
Christopher Brodie1, Mario Tuthorn1 and Oliver Kracht2, (1)Thermo Fisher Scientific, Bremen, Germany, (2)Thermo Fisher Scientific, Bemen, Germany
Abstract:
The use of multi-isotopic analysis (δ13C, δ15N and δ34S) of archaeological bone collagen to assist in the interpretation of diet, movement and mobility of prehistoric populations is increasing, yet many researchers have avoided analysing sulphur due to its very low concentrations in collagen. Although δ34S values have proven to be an invaluable additional isotopic marker for ‘unpicking’ diet, the number of studies benefitting from its insight are low due to problems associated with producing, transferring and measuring SO2 gas. In well preserved mammalian bone collagen, sulphur is present in concentrations of only ~0.2% to 0.3%, which has been a significant analytical challenge for sequential δ13C, δ15N and δ34S analysis by EA-IRMS.


Previously, it was routine to analyse bone collagen samples twice; once for δ13C and δ15N (0.5–1 mg), and then a second time using a much larger sample (10–15 mg) for δ34S. We demonstrate that the Thermo ScientificTM EA IsoLinkTM IRMS system, which has the ability to rapidly heat a gas chromatography (GC) column and concentrate the sample gas online, during sample analysis, delivers sequential 13C, δ15N and δ34S data from small samples of bone collagen (1–1.5 mg) from a single sample analysis. This means that the overall cost per sample analysis is reduced and less maintenance is required due to a significantly higher sample throughput, resulting in laboratory productivity increasing by 400%. Moreover, the sensitivity and signal-to-noise ratio of the sample gas, especially SO2, has improved, resulting in routine precision's of ±0.1‰ for δ13C, ±0.15‰ for δ15N and ±0.3‰ for δ34S. Importantly, critical issues linked with memory and oxygen isotope effects of sulphur are shown to be negligible, removing significant hurdles for routine δ34S value determination. Whilst this example shows advances for bone collagen, the analytical benefits, however, extent to all sample matrices.


The ability to rapidly measure 13C, δ15N and δ34S isotopic values sequentially in archaeological bone collagen is an attractive option to researchers that want to build larger, more succinct datasets for their sites of interest, at a much reduced analytical cost and without destroying larger quantities of archaeological material.