Growing Signals from the Noise: Challenging Nuclei in Materials DNP

doi:10.1002/9780470034590.emrstm1556

Title: Growing Signals from the Noise: Challenging Nuclei in Materials DNP

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Abstract

Here, the polarization of nuclear spins by dynamic nuclear polarization (DNP) has redefined the sensitivity limits of solid–state (SS) NMR spectroscopy. Materials science has been arguably one of the key beneficiaries of the recent remarkable advances of the technique, which included low–temperature magic angle spinning (MAS), modern gyrotrons, and biradical agents for polarization transfer via the cross–effect. In many classes of materials, DNP offers the capability of selectively sensitizing progressively smaller surface and interfacial regions of materials and eliciting responses from previously undetectable nuclei, with no detrimental effect on resolution. We review the most recent applications of DNP–enhanced SSNMR to materials, focusing specifically on measurements that pose insurmountable challenges to conventional SSNMR, including the detection of ¹⁵N, ¹⁷O, ²⁵Mg, ³⁵Cl, ⁴³Ca, ⁷⁹Br, ⁸⁹Y, ¹¹⁹Sn, and ¹⁹⁵Pt by one–dimensional MAS methods, ultrawideline NMR, as well as two–dimensional homo– and heteronuclear correlation spectroscopy.

Authors:

Perras, Frederic A. ^[1]; Kobayashi, Takeshi ^[1]; Pruski, Marek ^[2]

Ames Lab., Ames, IA (United States)
Ames Lab. and Iowa State Univ., Ames, IA (United States)

Publication Date:: 2018-09-14

Research Org.:: Ames Laboratory (AMES), Ames, IA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1478991

Report Number(s):: IS-J-9601
Journal ID: ISSN 2055-6101

Grant/Contract Number:: AC02-07CH11358

Resource Type:: Accepted Manuscript

Journal Name:: eMagRes

Additional Journal Information:: Journal Volume: 7; Journal Issue: 3; Journal ID: ISSN 2055-6101

Publisher:: Wiley

Country of Publication:: United States

Language:: English

Subject:: 73 NUCLEAR PHYSICS AND RADIATION PHYSICS

Citation Formats


                    Perras, Frederic A., Kobayashi, Takeshi, and Pruski, Marek. Growing Signals from the Noise: Challenging Nuclei in Materials DNP.  United States: N. p., 2018. 
        Web.  doi:10.1002/9780470034590.emrstm1556.

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                    Perras, Frederic A., Kobayashi, Takeshi, & Pruski, Marek. Growing Signals from the Noise: Challenging Nuclei in Materials DNP.  United States.  doi:10.1002/9780470034590.emrstm1556.

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                    Perras, Frederic A., Kobayashi, Takeshi, and Pruski, Marek. Fri .  
        "Growing Signals from the Noise: Challenging Nuclei in Materials DNP".  United States.  doi:10.1002/9780470034590.emrstm1556.  https://www.osti.gov/servlets/purl/1478991.

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@article{osti_1478991,

  title        = {Growing Signals from the Noise: Challenging Nuclei in Materials DNP},

  author       = {Perras, Frederic A. and Kobayashi, Takeshi and Pruski, Marek},

  abstractNote = {Here, the polarization of nuclear spins by dynamic nuclear polarization (DNP) has redefined the sensitivity limits of solid–state (SS) NMR spectroscopy. Materials science has been arguably one of the key beneficiaries of the recent remarkable advances of the technique, which included low–temperature magic angle spinning (MAS), modern gyrotrons, and biradical agents for polarization transfer via the cross–effect. In many classes of materials, DNP offers the capability of selectively sensitizing progressively smaller surface and interfacial regions of materials and eliciting responses from previously undetectable nuclei, with no detrimental effect on resolution. We review the most recent applications of DNP–enhanced SSNMR to materials, focusing specifically on measurements that pose insurmountable challenges to conventional SSNMR, including the detection of 15N, 17O, 25Mg, 35Cl, 43Ca, 79Br, 89Y, 119Sn, and 195Pt by one–dimensional MAS methods, ultrawideline NMR, as well as two–dimensional homo– and heteronuclear correlation spectroscopy.},

  doi          = {10.1002/9780470034590.emrstm1556},

  journal      = {eMagRes},

  number       = 3,

  volume       = 7,

  place        = {United States},

  year         = {2018},

  month        = {9}

}

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DOI: 10.1002/9780470034590.emrstm1556

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