Excited state relaxation mechanisms of paracetamol and acetanilide.

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Danillo Valverde, Roiney Beal, Paulo Fernando Bruno Gonçalves, Antonio Carlos Borin
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引用次数: 0

Abstract

The photochemical pathways of acetanilide and paracetamol were investigated using the XMS-CASPT2 quantum chemical method and the cc-pVDZ (correlation consistent polarized valence double- ζ $$ \zeta $$ ) basis set. In both compounds, the bright state is the second excited state, designated as a 1 ( ππ * $$ {}^1\Big({\pi \pi}^{\ast } $$ La) state. Through a detailed exploration of the potential energy profile and the conical intersection structure between the 1 ( ππ * $$ {}^1\Big({\pi \pi}^{\ast } $$ La) and ground states, we gained a better understanding of how cleavage might occur in both molecules upon photoexcitation. Other potential relaxation mechanisms, including crossings with the dark 1 n π * $$ {}^1\left(n{\pi}^{\ast}\right) $$ and 1 ( ππ * $$ {}^1\Big({\pi \pi}^{\ast } $$ La) states, are also discussed in detail.

扑热息痛和乙酰苯胺的激发态弛豫机制。
利用 XMS-CASPT2 量子化学方法和 cc-pVDZ(相关一致极化价双-ζ $ \zeta $$ )基集研究了乙酰苯胺和扑热息痛的光化学途径。在这两种化合物中,亮态是第二激发态,被指定为 1 ( ππ * $$ {}^1\Big({\pi \pi}^{\ast } $$ La) 态。通过对 1 ( ππ * $$ {}^1Big({\pi \pi}^{\ast }$ La) 态和基态之间的势能曲线和锥形交叉结构的详细探索,我们对这两种分子在光激发时如何发生裂解有了更好的了解。我们还详细讨论了其他潜在的弛豫机制,包括与暗 1 n π * $$ {}^1\left(n{pi}^{\ast}\right) $$ 和 1 ( ππ * $$ {}^1\Big({}^pi \pi}^{\ast } $$ La) 态的交叉。
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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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