Academic Journal

Computer-aided kinetic network modeling of orthoester metathesis.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Computer-aided kinetic network modeling of orthoester metathesis.
Συγγραφείς: Muzyka, Claire, Silva Brenes, Diana Vanessa, Monbaliu, Jean-Christophe
Συνεισφορές: Center for Integrated Technology and Organic Synthesis, MolSys - Molecular Systems - ULiège
Πηγή: Physical Chemistry Chemical Physics, 28 (22), 13488 - 13495 (2026-06-10)
Στοιχεία εκδότη: Royal Society of Chemistry, 2026.
Έτος έκδοσης: 2026
Θεματικοί όροι: DFT calculation, Exchange reaction, Integrated workflow, Kinetic models, Network models, Spectral decomposition, Physical, chemical, mathematical & earth Sciences, Chemistry, Physique, chimie, mathématiques & sciences de la terre, Chimie
Περιγραφή: Dynamic covalent exchange (DCE) reactions often generate complex mixtures that make quantitative analysis challenging despite involving mechanistically simple individual processes. Here we introduce an integrated workflow combining automated spectral decomposition, mechanistically guided kinetic modeling, and targeted DFT calculations to elucidate the DCE between triethyl orthoformate and ethylene glycol. Tensor-based analysis of time-resolved 1H NMR data identified ten distinct species, which were incorporated into a refined kinetic model providing excellent agreement with experiments (R2 > 0.95) and strong predictive performance under various conditions (R2 > 0.90). DFT calculations focused on the acid-promoted activation step supported the kinetic parameters and clarified how substrate structure, catalyst identity, solvent, and released alcohols influence activation barriers and catalyst availability. Together, these results deliver a coherent description of the reaction network and establish a generalizable strategy for analyzing and tuning complex dynamic covalent systems.
Τύπος εγγράφου: journal article
http://purl.org/coar/resource_type/c_6501
article
peer reviewed
Γλώσσα: English
Relation: http://pubs.rsc.org/en/content/articlepdf/2026/CP/D6CP00391E; urn:issn:1463-9076; urn:issn:1463-9084
DOI: 10.1039/d6cp00391e
Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/346784
Rights: open access
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
Αριθμός Καταχώρησης: edsorb.346784
Βάση Δεδομένων: ORBi
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  – Url: https://orbi.uliege.be/handle/2268/346784#
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  Data: Computer-aided kinetic network modeling of orthoester metathesis.
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  Data: <searchLink fieldCode="AR" term="%22Muzyka%2C+Claire%22">Muzyka, Claire</searchLink><br /><searchLink fieldCode="AR" term="%22Silva+Brenes%2C+Diana+Vanessa%22">Silva Brenes, Diana Vanessa</searchLink><br /><searchLink fieldCode="AR" term="%22Monbaliu%2C+Jean-Christophe%22">Monbaliu, Jean-Christophe</searchLink>
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  Data: Center for Integrated Technology and Organic Synthesis<br />MolSys - Molecular Systems - ULiège
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  Data: Physical Chemistry Chemical Physics, 28 (22), 13488 - 13495 (2026-06-10)
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  Data: Royal Society of Chemistry, 2026.
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  Data: <searchLink fieldCode="DE" term="%22DFT+calculation%22">DFT calculation</searchLink><br /><searchLink fieldCode="DE" term="%22Exchange+reaction%22">Exchange reaction</searchLink><br /><searchLink fieldCode="DE" term="%22Integrated+workflow%22">Integrated workflow</searchLink><br /><searchLink fieldCode="DE" term="%22Kinetic+models%22">Kinetic models</searchLink><br /><searchLink fieldCode="DE" term="%22Network+models%22">Network models</searchLink><br /><searchLink fieldCode="DE" term="%22Spectral+decomposition%22">Spectral decomposition</searchLink><br /><searchLink fieldCode="DE" term="%22Physical%2C+chemical%2C+mathematical+%26+earth+Sciences%22">Physical, chemical, mathematical & earth Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Chemistry%22">Chemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Physique%2C+chimie%2C+mathématiques+%26+sciences+de+la+terre%22">Physique, chimie, mathématiques & sciences de la terre</searchLink><br /><searchLink fieldCode="DE" term="%22Chimie%22">Chimie</searchLink>
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  Data: Dynamic covalent exchange (DCE) reactions often generate complex mixtures that make quantitative analysis challenging despite involving mechanistically simple individual processes. Here we introduce an integrated workflow combining automated spectral decomposition, mechanistically guided kinetic modeling, and targeted DFT calculations to elucidate the DCE between triethyl orthoformate and ethylene glycol. Tensor-based analysis of time-resolved 1H NMR data identified ten distinct species, which were incorporated into a refined kinetic model providing excellent agreement with experiments (R2 > 0.95) and strong predictive performance under various conditions (R2 > 0.90). DFT calculations focused on the acid-promoted activation step supported the kinetic parameters and clarified how substrate structure, catalyst identity, solvent, and released alcohols influence activation barriers and catalyst availability. Together, these results deliver a coherent description of the reaction network and establish a generalizable strategy for analyzing and tuning complex dynamic covalent systems.
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