Pyisotopomer: A Python package for obtaining intramolecular isotope ratio differences from mass spectrometric analysis of nitrous oxide isotopocules

Kelly, Colette L., Manning, Cara, Frey, Claudia, Kaiser, Jan ORCID: https://orcid.org/0000-0002-1553-4043, Gluschankoff, Noah and Casciotti, Karen L. (2023) Pyisotopomer: A Python package for obtaining intramolecular isotope ratio differences from mass spectrometric analysis of nitrous oxide isotopocules. Rapid Communications in Mass Spectrometry, 37 (11). ISSN 0951-4198

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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 used 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 system. 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.

Item Type: Article
Additional Information: Research Funding: US NSF Division of Ocean Sciences. Grant Number: OCE-1657868
Uncontrolled Keywords: analytical chemistry,spectroscopy,organic chemistry ,/dk/atira/pure/subjectarea/asjc/1600/1602
Faculty \ School: Faculty of Science > School of Environmental Sciences
University of East Anglia Research Groups/Centres > Theme - ClimateUEA
UEA Research Groups: Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 21 Apr 2023 16:30
Last Modified: 30 May 2023 14:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/91862
DOI: 10.1002/rcm.9513

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