Computer-generated isotope model achieves experimental accuracy of filiation for position-specific isotope analysis
Name
Goldman_Computer-generated isotope model achieves experimentalaccuracy of filiation for position-specific isotope analysis.pdf
Description
Accepted version
Size
681.86 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Goldman, Mark Jacob
Vandewiele, Nick
Ono, Shuhei
Green Jr, William H
Date Issued
June 2019
Journal
Chemical Geology
Publisher
Elsevier BV
Citation
Goldman, Mark Jacob et al. "Computer-generated isotope model achieves experimental accuracy of filiation for position-specific isotope analysis." Chemical Geology 514 (June 2019): 1-9 © 2019 Elsevier B.V.
Version
Author's final manuscript
Abstract
Position-specific isotope analysis (PSIA) can aid in understanding the origins of molecules. Destructive PSIA requires a model to track isotope substitution through reaction pathways. We present a general method based on the Reaction Mechanism Generator software to construct quantitative kinetic models with atom-specific isotope tracking and kinetic isotope effects during thermal decomposition of model compounds. A propane mechanism produced with this method is compared to experiments. Without tuning kinetic or thermodynamic parameters to experimental data, the mechanism replicated, within experimental uncertainty, the relationship between the parent molecule's position-specific values and the fragments' enrichments. These isotope-specific models can serve as an in silico platform to quantitatively assess secondary isotopic reactions which can scramble position-specific enrichments, design and optimize experimental conditions, and test feasibility of PSIA for new compounds. The proposed methodology creates new opportunities for applications in isotope analysis for a range of chemical compounds. Keywords: Kinetic isotope effect; Symmetry; Degeneracy; Isotopologue; Enrichment; Automated mechanism generation
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
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DOI of Published Version
https://doi.org/10.1016/j.chemgeo.2019.02.036
