Department of Chemistry, University of Hawai'i at Ma̅noa, 2545 McCarthy Mall, Honolulu, Hawaii 96822, United States.
State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, P.R. China.
J Phys Chem Lett. 2022 Aug 4;13(30):6875-6882. doi: 10.1021/acs.jpclett.2c01628. Epub 2022 Jul 21.
Unravelling the generation of complex organic molecules (COMs) on interstellar nanoparticles (grains) is essential in establishing predictive astrochemical reaction networks and recognizing evolution stages of molecular clouds and star-forming regions. The formation of COMs has been associated with the irradiation of interstellar ices by ultraviolet photons and galactic cosmic rays. Herein, we pioneer the first incorporation of (SVUV-PI-ReTOF-MS) in laboratory astrophysics simulation experiments to afford an isomer-selective identification of key COMs (ketene (HC═CO); acetaldehyde (CHCHO); vinyl alcohol (HC═CHOH)) based on photoionization efficiency (PIE) curves of molecules desorbing from exposed carbon monoxide-methane (CO-CH) ices. Our results demonstrate that the SVUV-PI-ReTOF-MS approach represents a versatile, rapid methodology for a comprehensive identification and explicit understanding of the complex organics produced in space simulation experiments. This methodology is expected to significantly improve the predictive nature of astrochemical models of complex organic molecules formed abiotically in deep space, including biorelated species linked to the origins-of-life topic.
揭示星际纳米颗粒（颗粒）上复杂有机分子（COMs）的生成对于建立预测性的天体化学反应网络以及识别分子云及恒星形成区的演化阶段至关重要。COMs 的形成与星际冰受紫外线光子和银河宇宙射线的辐照有关。在此，我们开创性地将 （SVUV-PI-ReTOF-MS）首次应用于实验室天体物理模拟实验中，根据从暴露的一氧化碳-甲烷（CO-CH）冰中解吸的分子的光离效率（PIE）曲线，对关键的 COMs（酮（HC═CO）；乙醛（CHCHO）；乙烯醇（HC═CHOH））进行异构体选择性识别。我们的结果表明，SVUV-PI-ReTOF-MS 方法代表了一种通用的、快速的方法，可用于全面识别和明确理解在空间模拟实验中产生的复杂有机物。该方法有望极大地提高深空非生物形成的复杂有机分子的天体化学模型的预测性质，包括与生命起源主题相关的生物相关物质。
