通过红外光谱和量子化学建模的相互作用揭示 HCN 与宇宙硅酸盐之间的界面化学性质

Niccolò Bancone, Rosangela Santalucia, Stefano Pantaleone, Piero Ugliengo, Lorenzo Mino, Albert Rimola, Marta Corno
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引用次数: 0

摘要

了解氰化氢(HCN)与硅酸盐表面之间的相互作用对于阐明发生在星际晶核以及彗星和陨石基质中的前生物过程至关重要。在这项研究中,我们将低温(100-150 K)下的实验红外光谱与周期性 DFT 模拟相结合,描述了 HCN 在结晶钙钛矿(Mg2SiO4)(最丰富的宇宙硅酸盐之一)表面的吸附特征。结果表明,分子吸附和解离 HCN 吸附复合物的共存与所考虑的绿柱石晶面有关。分子吸附主要发生在最稳定的表面上,而解离吸附则主要发生在稳定性较高的表面上,这是由表面暴露的 Mg2+-O2- 离子对的路易斯酸碱行为增强所催化的。对所有吸附情况进行了谐波频率计算,并与实验红外波段进行了比较。为了将导致实验宽带的每种振动模式区分开来,我们在预测的频率集与实验带之间进行了最佳非线性拟合。这一过程的结果使我们能够:i) 通过将计算出的法向振动模式分配给每个频带的主要特征,对实验红外光谱进行解旋;ii) 揭示哪些晶面对吸附剂振动频带的贡献最大,从而提供有关样品形貌的信息。这种简便易行的方法具有相当的通用性,对复杂无机材料表面吸附剂红外光谱的精细表征具有广泛的意义。
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Unraveling the Interface Chemistry between HCN and Cosmic Silicates by the Interplay of Infrared Spectroscopy and Quantum Chemical Modeling
Understanding the interaction between hydrogen cyanide (HCN) and silicate surfaces is crucial for elucidating the prebiotic processes occurring on interstellar grain cores, as well as in cometary and meteoritic matrices. In this study, we characterized the adsorption features of HCN on crystalline forsterite (Mg2SiO4) surfaces, one of the most abundant cosmic silicates, by combining experimental infrared spectra at low temperatures (100-150 K) with periodic DFT simulations. Results showed the coexistence of both molecular and dissociative HCN adsorption complexes as a function of the considered forsterite crystalline face. Molecular adsorptions dominate on the most stable surfaces, while dissociative adsorptions occur predominantly on surfaces of lower stability, catalyzed by the enhanced Lewis acid-base behavior of surface-exposed Mg2+-O2- ion pairs. On the whole set of adsorption cases, harmonic frequency calculations were carried out and compared with the experimental infrared bands. To disentangle each vibrational mode contributing to the experimental broad bands, we run a best non-linear fit between the predicted set of frequencies and the experimental bands. The outcome of this procedure allowed us to: i) deconvolute the experimental IR spectrum by assigning computed normal modes of vibrations to the main features of each band; ii) reveal which crystal faces are responsible of the largest contribution to the adsorbate vibrational bands, giving information about the morphology of the samples. The present straigthforward procedure is quite general and of broad interest in the fine characterization of the infrared spectra of adsorbates on complex inorganic material surfaces.
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