Probing the Surface Structure of Semiconductor Nanoparticles by DNP SENS with Dielectric Support Materials
Abstract
Surface characterization is crucial for understanding how the atomic-level structure affects the chemical and photophysical properties of semiconducting nanoparticles (NPs). Solid-state nuclear magnetic resonance spectroscopy (NMR) is potentially a powerful technique for the characterization of the surface of NPs, but it is hindered by poor sensitivity. Dynamic nuclear polarization surface enhanced NMR spectroscopy (DNP SENS) has previously been demonstrated to enhance the sensitivity of surface-selective solid-state NMR experiments by one to two orders of magnitude. Established sample preparations for DNP SENS experiments on NPs require the dilution of the NPs on mesoporous silica. Using hexagonal boron nitride (h-BN) to disperse the NPs doubles DNP enhancements and absolute sensitivity as compared to standard protocols with mesoporous silica. Alternatively, precipitating the NPs as powders, mixing them with h-BN, then impregnating the powdered mixture with radical solution leads to further four-fold sensitivity enhancements by increasing the concentration of NPs in the final sample. This modified procedure provides a factor 9 improvement in NMR sensitivity as compared to previously established DNP SENS procedures, enabling challenging homonuclear and heteronuclear 2D NMR experiments on CdS, Si and Cd3P2 NPs. These experiments allow NMR signals from the surface, sub-surface and core sites to be observed and assigned.more »
- Authors:
-
- Ames Lab., and Iowa State Univ., Ames, IA (United States). Dept. of Chemistry
- Iowa State Univ., Ames, IA (United States). Dept. of Chemistry
- Univ. of Washington, Seattle, WA (United States). Dept. of Chemistry
- National Renewable Energy Lab. (NREL), Golden, CO (United States). Chemistry and Nanoscience Center
- Publication Date:
- Research Org.:
- Ames Lab., Ames, IA (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1569744
- Alternate Identifier(s):
- OSTI ID: 1603261
- Report Number(s):
- IS-J-10034; NREL/JA-5900-73949
Journal ID: ISSN 0002-7863; TRN: US2001352
- Grant/Contract Number:
- AC02-07CH11358; AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of the American Chemical Society
- Additional Journal Information:
- Journal Volume: 141; Journal Issue: 39; Journal ID: ISSN 0002-7863
- Publisher:
- American Chemical Society (ACS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 36 MATERIALS SCIENCE; 77 NANOSCIENCE AND NANOTECHNOLOGY; surface characterization; quantum dots; solid-state NMR spectroscopy; nanoparticles
Citation Formats
Hanrahan, Michael P., Chen, Yunhua, Blome-Fernández, Rafael, Stein, Jennifer L., Pach, Gregory F., Adamson, Marquix A. S., Neale, Nathan R., Cossairt, Brandi M., Vela, Javier, and Rossini, Aaron J. Probing the Surface Structure of Semiconductor Nanoparticles by DNP SENS with Dielectric Support Materials. United States: N. p., 2019.
Web. doi:10.1021/jacs.9b05509.
Hanrahan, Michael P., Chen, Yunhua, Blome-Fernández, Rafael, Stein, Jennifer L., Pach, Gregory F., Adamson, Marquix A. S., Neale, Nathan R., Cossairt, Brandi M., Vela, Javier, & Rossini, Aaron J. Probing the Surface Structure of Semiconductor Nanoparticles by DNP SENS with Dielectric Support Materials. United States. https://doi.org/10.1021/jacs.9b05509
Hanrahan, Michael P., Chen, Yunhua, Blome-Fernández, Rafael, Stein, Jennifer L., Pach, Gregory F., Adamson, Marquix A. S., Neale, Nathan R., Cossairt, Brandi M., Vela, Javier, and Rossini, Aaron J. Wed .
"Probing the Surface Structure of Semiconductor Nanoparticles by DNP SENS with Dielectric Support Materials". United States. https://doi.org/10.1021/jacs.9b05509. https://www.osti.gov/servlets/purl/1569744.
@article{osti_1569744,
title = {Probing the Surface Structure of Semiconductor Nanoparticles by DNP SENS with Dielectric Support Materials},
author = {Hanrahan, Michael P. and Chen, Yunhua and Blome-Fernández, Rafael and Stein, Jennifer L. and Pach, Gregory F. and Adamson, Marquix A. S. and Neale, Nathan R. and Cossairt, Brandi M. and Vela, Javier and Rossini, Aaron J.},
abstractNote = {Surface characterization is crucial for understanding how the atomic-level structure affects the chemical and photophysical properties of semiconducting nanoparticles (NPs). Solid-state nuclear magnetic resonance spectroscopy (NMR) is potentially a powerful technique for the characterization of the surface of NPs, but it is hindered by poor sensitivity. Dynamic nuclear polarization surface enhanced NMR spectroscopy (DNP SENS) has previously been demonstrated to enhance the sensitivity of surface-selective solid-state NMR experiments by one to two orders of magnitude. Established sample preparations for DNP SENS experiments on NPs require the dilution of the NPs on mesoporous silica. Using hexagonal boron nitride (h-BN) to disperse the NPs doubles DNP enhancements and absolute sensitivity as compared to standard protocols with mesoporous silica. Alternatively, precipitating the NPs as powders, mixing them with h-BN, then impregnating the powdered mixture with radical solution leads to further four-fold sensitivity enhancements by increasing the concentration of NPs in the final sample. This modified procedure provides a factor 9 improvement in NMR sensitivity as compared to previously established DNP SENS procedures, enabling challenging homonuclear and heteronuclear 2D NMR experiments on CdS, Si and Cd3P2 NPs. These experiments allow NMR signals from the surface, sub-surface and core sites to be observed and assigned. For example, we demonstrate that the acquisition of DNP-enhanced 2D 113Cd113Cd correlation NMR experiments on CdS NPs and natural isotropic abundance 2D 13C29Si HETCOR of functionalized Si NPs. These experiments provide a critical understanding of NP surface structures.},
doi = {10.1021/jacs.9b05509},
journal = {Journal of the American Chemical Society},
number = 39,
volume = 141,
place = {United States},
year = {Wed Aug 28 00:00:00 EDT 2019},
month = {Wed Aug 28 00:00:00 EDT 2019}
}
Web of Science