Atomic Layer Deposition-Assisted Surface-Selective Isotopic Labeling for the <sup>17</sup>O Solid-State NMR Studies of Metal Oxide Surfaces

<sup>17</sup>O solid-state NMR spectroscopy is widely used to investigate metal oxide surfaces and is increasingly recognized for the unique insights into surface structures. Given the low natural abundance of the <sup>17</sup>O nucleus (0.037%), <sup>17</sup>O surface-selective isotopic labeling is commonly employed in relevant studies. Conventional thermal treatment (CTT)-labeling methods rely on rapid <sup>17</sup>O/<sup>16</sup>O exchange may yield insufficient labeling on less reactive surfaces. Our approach uses atomic layer deposition (ALD) epitaxial growth to directly deposit <sup>17</sup>O onto metal oxide surfaces regardless of surface reactivity. This method minimizes the formation of excessive surface hydroxyl groups, reducing overlapping NMR signals and enabling better <sup>17</sup>O NMR identification of hydroxyl groups, as observed in Al<sub>2</sub>O<sub>3</sub>. Moreover, heteronuclear <sup>27</sup>Al{<sup>17</sup>O} <i>J</i>-HMQC NMR analysis reveals that the CTT method creates more correlations between penta-coordinated Al sites and hydroxyl groups in Al<sub>2</sub>O<sub>3</sub> compared to ALD, indicating that the labeling techniques vary in their effectiveness at different surface sites.

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Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2025-06-28
DOI
https://doi.org/10.1021/acs.jpclett.5c01138
Citations
1
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.76

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article

Atomic Layer Deposition-Assisted Surface-Selective Isotopic Labeling for the 17O Solid-State NMR Studies of Metal Oxide Surfaces

Kuizhi Chen, Jia‐Huan Du, Jennifer S. Gómez, Luming Peng et al.
1 citations
The Journal of Physical Chemistry Letters
Advanced NMR Techniques and Applications
0.76
article

Atomic Layer Deposition-Assisted Surface-Selective Isotopic Labeling for the 17O Solid-State NMR Studies of Metal Oxide Surfaces

Kuizhi Chen, Jia‐Huan Du, Jennifer S. Gómez, Luming Peng, Xiaoli Xia, Yujie Wen, Ivan Hung, Zhehong Gan, Fang Wang, Yang Wang, Rong Chen, Xiao Liu, Junchao Chen, Li Shen, Weiping Tang
article en
1 citations

Abstract

<sup>17</sup>O solid-state NMR spectroscopy is widely used to investigate metal oxide surfaces and is increasingly recognized for the unique insights into surface structures. Given the low natural abundance of the <sup>17</sup>O nucleus (0.037%), <sup>17</sup>O surface-selective isotopic labeling is commonly employed in relevant studies. Conventional thermal treatment (CTT)-labeling methods rely on rapid <sup>17</sup>O/<sup>16</sup>O exchange may yield insufficient labeling on less reactive surfaces. Our approach uses atomic layer deposition (ALD) epitaxial growth to directly deposit <sup>17</sup>O onto metal oxide surfaces regardless of surface reactivity. This method minimizes the formation of excessive surface hydroxyl groups, reducing overlapping NMR signals and enabling better <sup>17</sup>O NMR identification of hydroxyl groups, as observed in Al<sub>2</sub>O<sub>3</sub>. Moreover, heteronuclear <sup>27</sup>Al{<sup>17</sup>O} <i>J</i>-HMQC NMR analysis reveals that the CTT method creates more correlations between penta-coordinated Al sites and hydroxyl groups in Al<sub>2</sub>O<sub>3</sub> compared to ALD, indicating that the labeling techniques vary in their effectiveness at different surface sites.

The Journal of Physical Chemistry LettersVol. 16(27)
Nanjing Tech University (CN), Radboud University Nijmegen (NL), Dalian Institute of Chemical Physics (CN), Shanghai Jiao Tong University (CN), Chinese Academy of Sciences (CN), National High Magnetic Field Laboratory (US), Dalian National Laboratory for Clean Energy (CN), State Key Laboratory of Vehicle NVH and Safety Technology (CN), Collaborative Innovation Center of Chemistry for Energy Materials (CN), State Key Laboratory of Materials-Oriented Chemical Engineering, Huazhong University of Science and Technology (CN), Yangzhou University (CN), Nanjing University (CN)
National Science Foundation, Newton Fund, National High Magnetic Field Laboratory, Royal Society, National Natural Science Foundation of China, Radboud Universiteit, Nanjing University, Priority Academic Program Development of Jiangsu Higher Education Institutions, National Key Research and Development Program of China, Division of Materials Research, High Magnetic Field Laboratory, Chinese Academy of Sciences
Openalex Percentile: Top 29%
Advanced NMR Techniques and Applications
0.76
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