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Ultra-low-temperature (6 K) static NMR-DNP for metalloproteins, proteins in cells, and materials

Ultra-low-temperature (6 K) static NMR-DNP for metalloproteins, proteins in cells, and materials
用于金属蛋白、细胞中蛋白质和材料的超低温 (6 K) 静态 NMR-DNP
批准号:
10546201
负责人:
Francis DAVID Doty
金额:
$29.96万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-03-01 至 2024-02-29

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英文摘要
Ultra-low-temperature (6 K) static NMR-DNP for metalloproteins, proteins in cells, and materials Abstract The critical importance of solid-state NMR (ssNMR) was recently demonstrated by, after nearly two decades of intense efforts, yielding the first atomic-resolution structures of the A40 and A42 amyloid fibrils that play a crucial role in Alzheimer’s Disease (AD). Challenges posed by the inherently low sensitivity of NMR can be improved by reducing the sample and circuit temperature to below 100 K, or preferably below 35 K – also known as Ultra Low Temperature (ULT). Combining ULT NMR with another emerging technique, denoted as dynamic nuclear polarization (DNP), shows enormous promise for expanding the role of ssNMR by providing significant S/N enhancements in many cases. However, despite the huge gain in S/N that is possible from DNP, also performed at ~90 K, there are still only a handful of high-field MAS-DNP systems in the U.S. – pri- marily because they are so expensive ($3-10M). Further, no commercially available instrumentation is availa- ble for NMR experiments below 90 K, let alone ULT experiments combined with DNP. A huge step forward would include the development of a high-mode THz cavity for more efficient microwave delivery to the sample, thus enabling the use of a lower power and lower cost microwave source. An area of ssNMR that employs the use of non-spinning (static) samples would benefit immensely from the availability of such a commercially built ULT probe, with option for inclusion of DNP. Further, the static probe can serve as a prototype for a MAS ver- sion of such a probe. The developments proposed under this project aim to reduce entry level cost into DNP by more than an order of magnitude while reducing certain operational challenges.
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