4.7 Article

COSMO: Double spike optimization for sample-limited analyses of isotopically anomalous materials

Journal

CHEMICAL GEOLOGY
Volume 612, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.chemgeo.2022.121095

Keywords

Double spike; Nucleosynthetic anomaly; Isotope; Mass spectrometry

Funding

  1. NASA [80NSSC21K1544]
  2. NSF [EAR-1824002, MGG-2054892]
  3. Packard Fellowship
  4. Heritage Medical Research Institute
  5. Caltech

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The double spike (DS) technique is crucial for high-precision and high-accuracy mass-dependent isotope fractionations. The recently developed cosmo software package addresses the need to optimize DS measurements for small samples with mass-independent anomalies, allowing for a wider range of sample types and measurement scenarios.
The double spike (DS) technique is the gold standard by which high-precision and high-accuracy mass-dependent isotope fractionations are quantified, and has played a critical role in the recent development of numerous non-traditional stable isotope systems. The democratization of the technique is in great part due to the availability of the so-called 'DS toolbox', a software suite that allows for the straightforward identification of optimal DS compositions. As new applications for DS measurements arise, some additional considerations must be taken into account in deciding on an optimal double spike. In particular, sample-limited investigations of combined mass -dependent and independent isotope effects (e.g., in Early Solar System materials) present an additional challenge in determining optimal spikes.Here, we describe the cosmo software package, which specifically addresses this upcoming need in cosmo-chemistry/isotope geochemistry to optimize DS measurements for small samples with mass-independent anomalies (e.g., nucleosynthetic anomalies, radiogenic ingrowth). These measurements are subject to addi-tional errors from a complementary unspiked measurement, which is necessary to properly quantify mass -dependent isotope effects during the DS inversion. The software package addresses this additional complica-tion by offering users the ability to (i) specify additional parameters relevant to practical sample-limited analyses (e.g., instrumental transmission efficiency, number of cycles of analyses), (ii) optimize how a sample is split between unspiked and spiked measurements, and (iii) identify the internal normalization scheme that leads to the lowest uncertainty on the mass-dependent fractionation factor, alpha, and/or the isotope anomalies, epsilon. These additional functionalities were designed to operate within the DS toolbox framework and expands its applicability to a wider array of samples (i.e., extraterrestrial samples) and measurement scenarios to push the limits of new and improved instrumentation.

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