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离子液体对氯苊烯醇解的影响。评估离去基团能力数据预测反应结果的有效性。

The effects of ionic liquids on the ethanolysis of a chloroacenaphthene. Evaluation of the effectiveness of nucleofugality data to predict reaction outcome.

作者信息

Hsieh Andrew Y, Haines Ronald S, Harper Jason B

机构信息

School of Chemistry, University of New South Wales UNSW Sydney NSW 2052 Australia

出版信息

RSC Adv. 2023 Jul 12;13(30):21036-21043. doi: 10.1039/d3ra04302a. eCollection 2023 Jul 7.

DOI:10.1039/d3ra04302a
PMID:37448642
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10336772/
Abstract

The reaction of a chlorobenzene in mixtures containing ethanol and eight different ionic liquids was investigated in order to understand the effects of varying proportions and constituent ions of an ionic liquid on the rate constant of the process. The results were found to be generally consistent with previously studied reactions of the same type, with small proportions of an ionic liquid resulting in a rate constant increase compared to ethanol and large proportions causing a rate constant decrease. Temperature dependent kinetic studies were used to interpret the changes in reaction outcome, particularly noting an entropic cost on moving to high proportions of ionic liquid, consistent with organisation of solvent around the transition state. While attempts to use empirical solvent parameters to correlate outcome with the ionic liquid used were unsuccessful, use of recently acquired nucleofugality data for chloride and estimations for the electrofuge allowed for excellent prediction of the effects of ionic liquids, with rate constants quantitatively predicted in systems containing both different proportions of ionic liquid (mean absolute error (MAE) log() = 0.11) and different ionic liquids (MAE log() = 0.33). Importantly, this demonstrates the ready application of these quantitative reactivity parameters.

摘要

为了了解离子液体不同比例和组成离子对该过程速率常数的影响,研究了氯苯在含有乙醇和八种不同离子液体的混合物中的反应。结果发现,这些结果与之前对相同类型反应的研究总体一致,与乙醇相比,少量离子液体导致速率常数增加,而大量离子液体则导致速率常数降低。利用温度相关的动力学研究来解释反应结果的变化,特别注意到在向高比例离子液体转变时的熵成本,这与过渡态周围溶剂的组织情况一致。虽然试图使用经验溶剂参数将结果与所用离子液体相关联未成功,但使用最近获得的氯离子离去倾向数据和对亲电体的估计能够出色地预测离子液体的影响,在含有不同比例离子液体(平均绝对误差(MAE)log() =

0.11)和不同离子液体(MAE log() = 0.33)的体系中都能对速率常数进行定量预测。重要的是,这证明了这些定量反应性参数的易于应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/26d992df50d6/d3ra04302a-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/1529ff9a4aef/d3ra04302a-s1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/02196af1a912/d3ra04302a-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/056bab20f3e5/d3ra04302a-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/1dcbbd3d8d1a/d3ra04302a-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/a52e7ba01493/d3ra04302a-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/26d992df50d6/d3ra04302a-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/1529ff9a4aef/d3ra04302a-s1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/02196af1a912/d3ra04302a-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/056bab20f3e5/d3ra04302a-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/1dcbbd3d8d1a/d3ra04302a-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/a52e7ba01493/d3ra04302a-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d9/10336772/26d992df50d6/d3ra04302a-f5.jpg

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本文引用的文献

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Effects of Ionic Liquids on the Nucleofugality of Chloride.离子液体对氯离子离去倾向的影响。
J Org Chem. 2022 Feb 4;87(3):1767-1779. doi: 10.1021/acs.joc.1c02043. Epub 2021 Nov 10.
2
Enantioselective Synthesis of Indanes with a Quaternary Stereocenter via Diastereoselective C(sp)-H Functionalization.通过非对映选择性 C(sp)-H 官能化反应构建具有季立体中心的茚满的对映选择性合成。
Org Lett. 2021 Oct 1;23(19):7359-7363. doi: 10.1021/acs.orglett.1c02513. Epub 2021 Sep 10.
3
Rapid relaxation NMR measurements to predict rate coefficients in ionic liquid mixtures. An examination of reaction outcome changes in a homologous series of ionic liquids.
用于预测离子液体混合物中速率系数的快速弛豫核磁共振测量。对一系列同系离子液体中反应结果变化的考察。
Phys Chem Chem Phys. 2021 Apr 28;23(16):9878-9888. doi: 10.1039/d0cp06066f.
4
Machine learning approaches to understand and predict rate constants for organic processes in mixtures containing ionic liquids.用于理解和预测含离子液体混合物中有机过程速率常数的机器学习方法。
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Controlling the outcome of S2 reactions in ionic liquids: from rational data set design to predictive linear regression models.控制离子液体中S2反应的结果:从合理的数据集设计到预测性线性回归模型。
Phys Chem Chem Phys. 2020 Oct 21;22(40):23009-23018. doi: 10.1039/d0cp04224b.
6
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