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dc.contributor.authorGoldman, Mark Jacob
dc.contributor.authorVandewiele, Nick
dc.contributor.authorOno, Shuhei
dc.contributor.authorGreen Jr, William H
dc.date.accessioned2019-12-18T21:21:33Z
dc.date.available2019-12-18T21:21:33Z
dc.date.issued2019-06
dc.date.submitted2019-02
dc.identifier.issn0009-2541
dc.identifier.urihttps://hdl.handle.net/1721.1/123303
dc.description.abstractPosition-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 generationen_US
dc.description.sponsorshipNational Science Foundation (Grant 1122374)en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.chemgeo.2019.02.036en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceMark Goldmanen_US
dc.titleComputer-generated isotope model achieves experimental accuracy of filiation for position-specific isotope analysisen_US
dc.typeArticleen_US
dc.identifier.citationGoldman, 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.relation.journalChemical Geologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-12-18T19:31:51Z
dspace.date.submission2019-12-18T19:31:53Z
mit.journal.volume514en_US


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