{"title":"Methyl formate synthesis via S\\(\\mathrm {_N}\\)Acyl esterification on interstellar ice mantles","authors":"Giulia M. Bovolenta, Stefan Vogt-Geisse","doi":"10.1007/s00894-025-06310-1","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>Methyl formate (MF) has been detected in several interstellar environments, but whether or not the formation of this molecule takes place in the gas phase or on the ices of interstellar grains is still unclear. In this study, we explore the synthesis of methyl formate through the nucleophilic acyl substitution (S<span>\\(_{\\text {N}}\\)</span>Acyl) reaction between methanol (CH<span>\\(_{3}\\)</span>OH) and formic acid (HCOOH) on amorphous solid water, which is the main component of interstellar ice mantles.</p><h3>Methods</h3><p>Using density functional theory (DFT), we model MF formation by sampling HCOOH in different catalytic sites on the water clusters with CH<span>\\(_{3}\\)</span>OH, and vice versa, for initial reactant configurations. We select the initial binding modes from the binding energy distributions of both reactant species. We assess the energy and synchronicity of the reaction by analyzing the reaction mechanisms through intrinsic reaction coordinate (IRC) energy, reaction force, and reaction electronic flux profiles. Using Wiberg bond order derivatives, we identify reaction events linked to hidden transition states that are encountered along the reaction coordinate.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 3","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00894-025-06310-1","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Context
Methyl formate (MF) has been detected in several interstellar environments, but whether or not the formation of this molecule takes place in the gas phase or on the ices of interstellar grains is still unclear. In this study, we explore the synthesis of methyl formate through the nucleophilic acyl substitution (S\(_{\text {N}}\)Acyl) reaction between methanol (CH\(_{3}\)OH) and formic acid (HCOOH) on amorphous solid water, which is the main component of interstellar ice mantles.
Methods
Using density functional theory (DFT), we model MF formation by sampling HCOOH in different catalytic sites on the water clusters with CH\(_{3}\)OH, and vice versa, for initial reactant configurations. We select the initial binding modes from the binding energy distributions of both reactant species. We assess the energy and synchronicity of the reaction by analyzing the reaction mechanisms through intrinsic reaction coordinate (IRC) energy, reaction force, and reaction electronic flux profiles. Using Wiberg bond order derivatives, we identify reaction events linked to hidden transition states that are encountered along the reaction coordinate.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.