This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1002/rcm.9513. This is version 4 of this Preprint.
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Abstract
RATIONALE Obtaining nitrous oxide isotopocule measurements with isotope ratio mass spectrometry (IRMS) involves analyzing the ion current ratios of the nitrous oxide parent ion (N2O+) as well as those of the NO+ fragment ion. The data analysis requires correcting for “scrambling” in the ion source, whereby the NO+ fragment ion obtains the outer N atom from the N2O molecule. While descriptions exist for this correction, and interlaboratory intercalibration efforts have been made, there has yet to be published a package of code for implementing isotopomer calibrations.
METHODS We developed a user-friendly Python package (pyisotopomer) to determine two coefficients (γ and κ) that describe scrambling in the IRMS ion source, and then to use this calibration to obtain intramolecular isotope deltas in N2O samples.
RESULTS With two appropriate reference materials, γ and κ can be determined robustly and accurately for a given IRMS. An additional third reference material is needed to define the zero-point of the delta scale. We show that IRMS scrambling behavior can vary with time, necessitating regular calibrations. Finally, we present an intercalibration between two IRMS laboratories, using pyisotopomer to calculate γ and κ, and to obtain intramolecular N2O isotope deltas in lake water unknowns.
CONCLUSIONS Given these considerations, we discuss how to use pyisotopomer to obtain high-quality N2O isotopocule data from IRMS systems, including the use of appropriate reference materials and frequency of calibration.
DOI
https://doi.org/10.31223/X58S63
Subjects
Physical Sciences and Mathematics
Keywords
nitrous oxide, isotopomers, nitrogen stable isotopes, scrambling, Python
Dates
Published: 2021-12-24 02:25
Last Updated: 2023-03-23 07:57
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License
CC BY Attribution 4.0 International
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Conflict of interest statement:
None
Data Availability (Reason not available):
The latest version of pyisotopomer is available for installation via the Python Package index (pypi.org/project/pyisotopomer). The first release of pyisotopomer is also available via Zenodo for both Python (doi.org/10.5281/zenodo.5031218) and MATLAB (doi.org/10.5281/zenodo.5031237). This research was supported by U.S.-NSF grant OCE-1657868 to K. L. Casciotti. C. L. Kelly is supported by an NSF Graduate Research Fellowship. The authors declare no competing financial interests.
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