Vieira Ricardo, Marin-Montesinos Ildefonso, Pereira João, Fonseca Rita, Ilkaeva Marina, Sardo Mariana, Mafra Luís
CICECO - Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.
J Phys Chem C Nanomater Interfaces. 2021 Jul 15;125(27):14797-14806. doi: 10.1021/acs.jpcc.1c02871. Epub 2021 Jul 2.
Although spectroscopic investigation of surface chemisorbed CO species has been the focus of most studies, identifying different domains of weakly interacting (physisorbed) CO molecules in confined spaces is less trivial as they are often indistinguishable resorting to (isotropic) NMR chemical shift or vibrational band analyses. Herein, we undertake for the first time a thorough solid-state NMR analysis of CO species physisorbed prior to and after amine-functionalization of silica surfaces; combining C NMR chemical shift anisotropy (CSA) and longitudinal relaxation times ( ). These methods were used to quantitatively distinguish otherwise overlapping physisorbed CO signals, which contributed to an empirical model of CO speciation for the physi- and chemisorbed fractions. The quantitatively measured values confirm the presence of CO molecular dynamics on the microsecond, millisecond, and second time scales, strongly supporting the existence of up to three physisorbed CO species with proportions of about 15%, 15%, and 70%, respectively. Our approach takes advantage from using adsorbed C-labeled CO as probe molecules and quantitative cross-polarization magic-angle spinning to study both physi- and chemisorbed CO species, showing that 45% of chemisorbed CO versus 55% of physisorbed CO is formed from the overall confined CO in amine-modified hybrid silicas. A total of six distinct CO environments were identified from which three physisorbed CO were discriminated, coined here as "gas, liquid, and solid-like" CO species. The complex nature of physisorbed CO in the presence and absence of chemisorbed CO species is revealed, shedding light on what fractions of weakly interacting CO are affected upon pore functionalization. This work extends the current knowledge on CO sorption mechanisms providing new clues toward CO sorbent optimization.
尽管表面化学吸附CO物种的光谱研究一直是大多数研究的重点,但识别受限空间中弱相互作用(物理吸附)CO分子的不同区域并非易事,因为通过(各向同性)NMR化学位移或振动带分析往往无法区分它们。在此,我们首次对二氧化硅表面胺功能化前后物理吸附的CO物种进行了全面的固态NMR分析;结合了¹³C NMR化学位移各向异性(CSA)和纵向弛豫时间(T₁)。这些方法用于定量区分原本重叠物理吸附的CO信号,这有助于建立物理吸附和化学吸附部分的CO形态经验模型。定量测量的T₁值证实了CO分子在微秒、毫秒和秒时间尺度上的动力学,有力地支持了存在多达三种物理吸附的CO物种,其比例分别约为15%、15%和70%。我们的方法利用吸附的¹³C标记CO作为探针分子和定量交叉极化魔角旋转来研究物理吸附和化学吸附的CO物种,结果表明,在胺改性杂化二氧化硅中,化学吸附的CO占总受限CO的45%,而物理吸附的CO占55%。总共识别出六个不同的CO环境,从中区分出三种物理吸附的CO,在此命名为“气态、液态和固态”CO物种。揭示了在存在和不存在化学吸附CO物种的情况下物理吸附CO的复杂性质,阐明了孔功能化对弱相互作用CO的哪些部分产生影响。这项工作扩展了当前关于CO吸附机制的知识,为优化CO吸附剂提供了新线索。