• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用一级动力学方程中的参数区分化学反应产率,以从复杂反应路径网络中识别控制反应活性的基元步骤。

Differentiating the Yield of Chemical Reactions Using Parameters in First-Order Kinetic Equations to Identify Elementary Steps That Control the Reactivity from Complicated Reaction Path Networks.

作者信息

Harabuchi Yu, Yokoyama Tomohiko, Matsuoka Wataru, Oki Taihei, Iwata Satoru, Maeda Satoshi

机构信息

Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Kita 21, Nishi 10, Kita-ku, Sapporo, Hokkaido 001-0021, Japan.

JST, ERATO Maeda Artificial Intelligence in Chemical Reaction Design and Discovery Project, Kita 10, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-0810, Japan.

出版信息

J Phys Chem A. 2024 Apr 11;128(14):2883-2890. doi: 10.1021/acs.jpca.4c00204. Epub 2024 Apr 2.

DOI:10.1021/acs.jpca.4c00204
PMID:38564273
Abstract

The yield of a chemical reaction is obtained by solving its rate equation. This study introduces an approach for differentiating yields by utilizing the parameters of the rate equation, which is expressed as a first-order linear differential equation. The yield derivative for a specific pair of reactants and products is derived by mathematically expressing the rate constant matrix contraction method, which is a simple kinetic analysis method. The parameters of the rate equation are the Gibbs energies of the intermediates and transition states in the reaction path network used to formulate the rate equation. Thus, our approach for differentiating the yield allows a numerical evaluation of the contribution of energy variation to the yield for each intermediate and transition state in the reaction path network. In other words, a comparison of these values automatically extracts the factors affecting the yield from a complicated reaction path network consisting of numerous reaction paths and intermediates. This study verifies the behavior of the proposed approach through numerical experiments on the reaction path networks of a model system and the Rh-catalyzed hydroformylation reaction. Moreover, the possibility of using this approach for designing ligands in organometallic catalysts is discussed.

摘要

化学反应的产率是通过求解其速率方程得到的。本研究介绍了一种利用速率方程参数来区分产率的方法,该速率方程表示为一阶线性微分方程。通过数学表达速率常数矩阵收缩法(一种简单的动力学分析方法),推导出特定反应物和产物对的产率导数。速率方程的参数是用于构建速率方程的反应路径网络中中间体和过渡态的吉布斯自由能。因此,我们区分产率的方法能够对反应路径网络中每个中间体和过渡态的能量变化对产率的贡献进行数值评估。换句话说,对这些值进行比较能够自动从由众多反应路径和中间体组成的复杂反应路径网络中提取影响产率的因素。本研究通过对模型系统的反应路径网络和铑催化的氢甲酰化反应进行数值实验,验证了所提出方法的行为。此外,还讨论了将该方法用于设计有机金属催化剂中配体的可能性。

相似文献

1
Differentiating the Yield of Chemical Reactions Using Parameters in First-Order Kinetic Equations to Identify Elementary Steps That Control the Reactivity from Complicated Reaction Path Networks.利用一级动力学方程中的参数区分化学反应产率,以从复杂反应路径网络中识别控制反应活性的基元步骤。
J Phys Chem A. 2024 Apr 11;128(14):2883-2890. doi: 10.1021/acs.jpca.4c00204. Epub 2024 Apr 2.
2
Toward Ab Initio Reaction Discovery Using the Artificial Force Induced Reaction Method.使用人工力诱导反应方法进行从头反应发现。
Annu Rev Phys Chem. 2023 Apr 24;74:287-311. doi: 10.1146/annurev-physchem-102822-101025. Epub 2023 Jan 31.
3
Full rate constant matrix contraction method for obtaining branching ratio of unimolecular decomposition.用于获得单分子分解分支比的全速率常数矩阵收缩法。
J Comput Chem. 2017 Jan 15;38(2):101-109. doi: 10.1002/jcc.24526. Epub 2016 Oct 31.
4
Computational Modelling of Selectivity in Cobalt-Catalyzed Propene Hydroformylation.钴催化丙烯氢甲酰化反应选择性的计算建模。
Chemistry. 2018 Nov 16;24(64):17096-17104. doi: 10.1002/chem.201803490. Epub 2018 Oct 23.
5
Master equations and the theory of stochastic path integrals.主方程和随机路径积分理论。
Rep Prog Phys. 2017 Apr;80(4):046601. doi: 10.1088/1361-6633/aa5ae2.
6
Constructing stochastic models from deterministic process equations by propensity adjustment.通过倾向调整从确定性过程方程构建随机模型。
BMC Syst Biol. 2011 Nov 8;5:187. doi: 10.1186/1752-0509-5-187.
7
Mining hydroformylation in complex reaction network graph theory.复杂反应网络图论中的氢甲酰化挖掘
RSC Adv. 2021 Jul 1;11(38):23235-23240. doi: 10.1039/d1ra03395f.
8
Computational analysis of the mechanism of chemical reactions in terms of reaction phases: hidden intermediates and hidden transition States.从反应相的角度对化学反应机制进行计算分析:隐藏的中间产物和隐藏的过渡态。
Acc Chem Res. 2010 May 18;43(5):591-601. doi: 10.1021/ar900013p.
9
Recent Developments in the Scope, Practicality, and Mechanistic Understanding of Enantioselective Hydroformylation.对映选择性氢甲酰化反应在范围、实用性及机理理解方面的最新进展
Acc Chem Res. 2018 Sep 18;51(9):2344-2354. doi: 10.1021/acs.accounts.8b00335. Epub 2018 Aug 17.
10
The roles of entropy and enthalpy in stabilizing ion-pairs at transition states in zeolite acid catalysis.在沸石酸催化中,熵和焓在过渡态稳定离子对中的作用。
Acc Chem Res. 2012 Feb 21;45(2):229-38. doi: 10.1021/ar200138n. Epub 2011 Aug 26.