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A Case Study of the Mechanism of Alcohol-Mediated Morita Baylis-Hillman Reactions.The Importance of Experimental Observations

机译:酒精介导的森田贝利斯-希尔曼反应机理的案例研究。实验观察的重要性

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摘要

The mechanism of the Morita Baylis-Hillman reaction has been heavily studied in the literature, and a long series of computational studies have defined complete theoretical energy profiles in these reactions. We employ here a combination of mechanistic probes, including the observation of intermediates, the independent generation and partitioning of intermediates, thermodynamic and kinetic measurements on the main reaction and side reactions, isotopic incorporation from solvent, and kinetic isotope effects, to define the mechanism and an experimental mechanistic free-energy profile for a prototypical Morita Baylis-Hillman reaction in methanol. The results are then used to critically evaluate the ability of computations to predict the mechanism. The most notable prediction of the many computational studies, that of a proton-shuttle pathway, is refuted in favor of a simple but computationally intractable acid-base mechanism. Computational predictions vary vastly, and it is not clear that any significant accurate information that was not already apparent from experiment could have been garnered from computations. With care, entropy calculations are only a minor contributor to the larger computational error, while literature entropy-correction processes lead to absurd free-energy predictions. The computations aid in interpreting observations but fail utterly as a replacement for experiment.
机译:文献中已经对森田Baylis-希尔曼反应的机理进行了深入研究,并且一系列的计算研究已经确定了这些反应中完整的理论能量分布。我们在这里采用机械探针的组合,包括观察中间体,中间体的独立生成和分配,主要反应和副反应的热力学和动力学测量,溶剂中同位素的掺入以及动力学同位素效应,以确定机理和典型的Morita Baylis-Hillman反应在甲醇中的实验性机械自由能曲线。然后将结果用于批判性地评估预测该机制的计算能力。驳斥了许多计算研究中最值得注意的预测,即质子-穿梭路径的预测,而赞成一种简单但在计算上难以控制的酸碱机理。计算预测差异很大,目前尚不清楚是否可以从计算中获得任何从实验中尚未发现的重要准确信息。谨慎地,熵计算只是较大的计算误差的较小贡献,而文献的熵校正过程导致荒谬的自由能预测。计算有助于解释观察结果,但完全无法替代实验。

著录项

  • 来源
    《Journal of the American Chemical Society》 |2015年第11期|3811-3826|共16页
  • 作者单位

    Department of Chemistry, Texas A&M University, College Station, Texas 77842, United States;

    Department of Chemistry, Texas A&M University, College Station, Texas 77842, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-18 03:09:34

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