Position-Specific Carbon Isotope Analysis of Glucose at Natural Isotope Abundance by Electrospray-Ionization Orbitrap Mass Spectrometry
Creators
Abstract
The isotopic composition of glucose carries the signature of the environmental and metabolic processes that act on it, but most conventional isotope analytical methods cannot resolve its intramolecular isotopic structure. Here, we present a new method for position-specific isotope analysis (PSIA) of carbon in glucose using electrospray ionization-Orbitrap (ESI-Orbitrap) mass spectrometry. This method measures δ13C values at five unique intramolecular sites in glucose at natural isotope abundance and requires <50 μg of glucose per sample, over 3 orders of magnitude less than similar measurements by nuclear magnetic resonance (NMR). By oxidizing glucose to gluconate to improve both ionization yield and fragmentation behavior and measuring with ESI-Orbitrap, we resolve the isotopic composition of the molecular ion and four fragment ions with analytical precision of 0.5–0.8‰ (2 SE). Using a positionally labeled glucose standard, we demonstrate the accuracy of the measurement for both molecular average and position-specific carbon isotope composition. Our method reproduces intramolecular δ13C patterns previously demonstrated for natural sugars formed through C3 and C4 photosynthetic pathways while enabling substantially higher throughput and sensitivity. This is the first application of Orbitrap-PSIA to a carbohydrate, and it enables the tracing of sugar fluxes in environmental, biomedical, and ecological systems. Future developments could extend the method to include oxygen and hydrogen isotopes, further enhancing its value for investigating glucose dynamics across many natural settings.
Copyright and License
© 2025 American Chemical Society.
Acknowledgement
This material is based on research supported by the National Aeronautics and Space Administration through the NASA Astrobiology Institute under Cooperative Agreement 80NSSC18M0094 issued through the Science Mission Directorate. Elise Wilkes and Stuart Sessions helped develop the data processing script for the Monte Carlo analysis of matrix inversion. Tim Csernica provided important guidance for data processing. Thanks go to Simon Andren, Noam Lotem, Gabriella Weiss, and Elliott Mueller for helpful discussions of the technical aspects of Orbitrap analysis. Michael Mathuri assisted with EA-IRMS analyses, James Mullahoo with HPIC measurements, and Juliann Panehal with methods testing. Youki Sato and Max Lloyd helped us to access standard materials that were essential in the completion of this work.
Supplemental Material
Detailed description of standard materials, fragmentation conditions, attribution of atomic positions to gluconate fragments, Allan variance, and concentration-dependence of measurement accuracy, including figures (PDF)
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Additional details
Identifiers
- PMID
- 41459677
Related works
- Describes
- Journal Article: 41459677 (PMID)
Funding
- National Aeronautics and Space Administration
- 80NSSC18M0094
Dates
- Submitted
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2025-10-03
- Accepted
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2025-12-16
- Available
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2025-12-29Published online