C3H6O3、C3H7O3和C2H5O2化学反应网络的计算洞察:对星际介质的影响

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Anxo Lema-Saavedra, Antonio Fernandez-Ramos, Emilio Martinez-Nunez
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引用次数: 0

摘要

星际介质(ISM)中复杂有机分子(COMs)的形成是天体化学和生命前化学的核心,因为这些物种可能是生命所必需的生物分子的前体。在COMs中,甘油醛(HOCH2CH(OH)C(O)H, GCA)作为早期生化途径的潜在组成部分引起了人们的关注。虽然在ISM中还没有检测到GCA,但在各种天文环境中存在的结构相关化合物表明它可能是在星际条件下形成的。在这项研究中,我们使用自动化反应发现工具AutoMeKin系统地探索了C3H6O3 (GCA), C3H7O3(氢化类似物)和C2H5O2的气相化学反应网络(crn)。在ωB97XD/Def2-TZVPP理论水平上对反应路径进行表征,并利用考虑多个动态瓶颈的竞争正则统一统计(CCUS)模型计算关键过程的速率系数。我们的分析揭示了通往GCA或GCA和离去基的几种无障碍途径。值得注意的是,乙二醛(HCOHCO)和hochch2 OH自由基之间的反应,虽然在ISM中都没有检测到,但发现在10 - 100 K温度范围内,速率系数为5.4-7.9×10−10 cm3分子−1 s−1,可以有效地产生GCA和甲酰自由基。然而,除了上述例外,大多数GCA形成通道导致高度振动激发的中间体,在典型的ISM条件下,这些中间体更有可能经历快速的单分子分解,而不是通过辐射发射稳定。这些结果表明,虽然气相GCA的形成在化学上是可行的,但它可能是短暂的,难以直接检测。相比之下,甲醛、乙醇醛和(Z)-乙烯-1,2-二醇等替代产物主导了许多途径,并与当前的天文观测结果更好地吻合。这项工作提供了详细的机制和动力学见解,增强了天体化学建模,并推进了我们对恒星形成环境中分子复杂性的理解。此外,它还强调了自动CRN探索在太空中发现益生元分子的可行合成路线的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Insights into the Chemical Reaction Networks of C3H6O3, C3H7O3 and C2H5O2: Implications for the Interstellar Medium
The formation of complex organic molecules (COMs) in the interstellar medium (ISM) is central to astrochemistry and prebiotic chemistry, as these species may act as precursors to biomolecules essential for life. Among COMs, glyceraldehyde (HOCH2CH(OH)C(O)H, GCA) has attracted attention as a potential building block in early biochemical pathways. Although GCA has not yet been detected in the ISM, the presence of structurally related compounds in various astronomical environments suggests that it may form under interstellar conditions. In this study, we employed the automated reaction discovery tool AutoMeKin to systematically explore the gas-phase chemical reaction networks (CRNs) of C3H6O3 (GCA), C3H7O3 (a hydrogenated analog), and C2H5O2. Reaction pathways were characterized at the ωB97XD/Def2-TZVPP level of theory, and rate coefficients for key processes were computed using the competitive canonical unified statistical (CCUS) model, which accounts for multiple dynamic bottlenecks. Our analysis revealed several barrierless pathways leading to GCA or to GCA and a leaving group. Notably, the reaction between glyoxal (HCOHCO) and the HOCHCH₂OH radical, though neither has yet been detected in the ISM, was found to efficiently produce GCA and a formyl radical, with rate coefficients on the order of 5.4–7.9×10−10 cm3 molecule−1 s−1 across the 10–100 K temperature range. However, aside from the aforementined exception, most GCA formation channels result in highly vibrationally excited intermediates that are more likely to undergo rapid unimolecular decomposition than to be stabilized by radiative emission under typical ISM conditions. These results suggest that while gas-phase GCA formation is chemically feasible, it is likely transient and difficult to detect directly. In contrast, alternative products such as formaldehyde, glycolaldehyde, and (Z)-ethene-1,2-diol dominate many pathways and align better with current astronomical observations. This work provides detailed mechanistic and kinetic insights that enhance astrochemical modeling and advance our understanding of molecular complexity in star-forming environments. Furthermore, it highlights the utility of automated CRN exploration for uncovering viable synthetic routes to prebiotic molecules in space.
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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