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二氧化碳在气-水界面的结构及其化学意义。

The Structure of Carbon Dioxide at the Air-Water Interface and its Chemical Implications.

作者信息

Martins-Costa Marilia T C, Ruiz-López Manuel F

机构信息

Laboratoire de Physique et Chimie Théoriques, UMR CNRS 7019, University of Lorraine, CNRS, BP 70239, 54506, Vandoeuvre-lès-Nancy, France.

出版信息

Chemistry. 2024 Aug 1;30(43):e202400825. doi: 10.1002/chem.202400825. Epub 2024 Jul 15.

DOI:10.1002/chem.202400825
PMID:38838064
Abstract

The efficient reduction of CO into valuable products is a challenging task in an international context marked by the climate change crisis and the need to move away from fossil fuels. Recently, the use of water microdroplets has emerged as an interesting reaction media where many redox processes which do not occur in conventional solutions take place spontaneously. Indeed, several experimental studies in microdroplets have already been devoted to study the reduction of CO with promising results. The increased reactivity in microdroplets is thought to be linked to unique electrostatic solvation effects at the air-water interface. In the present work, we report a theoretical investigation on this issue for CO using first-principles molecular dynamics simulations. We show that CO is stabilized at the interface, where it can accumulate, and that compared to bulk water solution, its electron capture ability is larger. Our results suggest that reduction of CO might be easier in interface-rich systems such as water microdroplets, which is in line with early experimental data and indicate directions for future laboratory studies. The effect of other relevant factors which could play a role in CO reduction potential is discussed.

摘要

在气候变化危机以及摆脱化石燃料需求的国际背景下,将一氧化碳高效还原为有价值的产品是一项具有挑战性的任务。最近,水微滴的使用已成为一种有趣的反应介质,许多在传统溶液中不会发生的氧化还原过程会在其中自发发生。事实上,已经有几项关于微滴中一氧化碳还原的实验研究,并取得了有前景的结果。微滴中反应活性的增加被认为与气 - 水界面独特的静电溶剂化效应有关。在本工作中,我们使用第一性原理分子动力学模拟对一氧化碳的这个问题进行了理论研究。我们表明,一氧化碳在界面处稳定,能够在那里积累,并且与本体水溶液相比,其电子捕获能力更大。我们的结果表明,在诸如水微滴这样富含界面的系统中,一氧化碳的还原可能更容易,这与早期实验数据一致,并为未来的实验室研究指明了方向。还讨论了其他可能对一氧化碳还原电位起作用的相关因素的影响。

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