Modeling the effect of substituents on the electronically excited states of indole derivatives

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-09-20 DOI:10.1002/jcc.27502
Jordan Howe, Salsabil Abou-Hatab, Spiridoula Matsika
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Abstract

A proper understanding of excited state properties of indole derivatives can lead to rational design of efficient fluorescent probes. The optically active L a and L b excited states of a series of substituted indoles, where a substituent was placed on position four, were calculated using equation of motion coupled cluster and time dependent density functional theory. The results indicate that most substituted indoles have a brighter second excited state corresponding to experimental absorption maxima, but a few with electron withdrawing substituents absorb more on the first excited state. Absorption on the first excited state may increase their fluorescence quantum yield, making them better probes. Electronic structure methods were found to predict the energies of the systems with electron withdrawing substituents more accurately than those with electron donating substituents. The excited states of both states correlated well with electrophilicity, similar to the experimental trends for the absorption maxima. Overall, these computational studies indicate that theory can be used to predict excited state properties of substituted indoles, when the substituent is an electron withdrawing group.

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模拟取代基对吲哚衍生物电子激发态的影响
正确理解吲哚衍生物的激发态特性有助于合理设计高效的荧光探针。我们利用运动方程耦合簇和时变密度泛函理论计算了一系列取代吲哚(取代基位于第四位)的光学活性 La$$ {L}_a$ 和 Lb$$ {L}_b$ 激发态。结果表明,大多数取代吲哚的第二激发态更亮,与实验吸收最大值相对应,但少数带有撤电子取代基的吲哚对第一激发态的吸收更强。对第一激发态的吸收可能会增加它们的荧光量子产率,从而使它们成为更好的探针。研究发现,电子结构方法比电子捐赠取代基更能准确地预测出具有电子撤回取代基的系统的能量。两种状态的激发态与亲电性有很好的相关性,这与吸收最大值的实验趋势相似。总之,这些计算研究表明,当取代基为退电子基团时,理论可用于预测取代吲哚的激发态性质。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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