PFI-TT: Device for High-throughput Parallel Measurement in NMR Spectroscopy

PFI-TT：核磁共振波谱高通量并行测量设备

• 批准号: 2141083
• 负责人: Ashok Ajoy
• 金额: $ 25万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2141083&HistoricalAwards=false
• 关键词: PFI; TT; Device; throughput; Parallel

The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is to advance a new high-throughput chemical analysis system for applications such as pharmaceutical drug discovery. Nuclear Magnetic Resonance (NMR) spectroscopy is a non-invasive technique that provides data on the structure of unknown chemicals, identifies the composition of mixtures, and monitors chemical reactions. Traditional devices are expensive and occupy large footprints due to the technological limitations of the strong magnets within. This project advances a new device addressing these limitations. This project develops a user-friendly, highly affordable system with throughput 50-100 times that of current devices.The proposed project aims to overcome a longstanding challenge in chemical analysis by developing a system which performs NMR spectroscopy on multiple samples simultaneously, with throughput many times greater than that of existing systems. The proposed zero-to-ultralow field NMR (ZULF-NMR) spectroscopy is performed inside benchtop-scale magnetically shielded spaces. This system will aid the development of robotic chemistry systems through its rapid chemical measurement capabilities, which will supply much-needed data to the machine learning models that automate the robots. It will work for samples in opaque or metallic containers, which traditional NMR cannot accommodate.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该创新合作伙伴关系 - 技术转化 (PFI-TT) 项目更广泛的影响/商业潜力是推进一种新的高通量化学分析系统，用于药物发现等应用。核磁共振 (NMR) 光谱是一种非侵入性技术，可提供有关未知化学物质结构的数据、识别混合物的成分并监测化学反应。由于内部强磁体的技术限制，传统设备价格昂贵且占用空间大。该项目提出了一种解决这些限制的新设备。该项目开发了一种用户友好、价格实惠的系统，吞吐量是当前设备的 50-100 倍。拟议项目旨在通过开发一种同时对多个样品进行 NMR 波谱分析的系统，克服化学分析中长期存在的挑战，吞吐量可达许多样品。比现有系统大数倍。所提出的零至超低场核磁共振（ZULF-NMR）光谱是在台式磁屏蔽空间内进行的。 该系统将通过其快速化学测量功能帮助机器人化学系统的开发，这将为实现机器人自动化的机器学习模型提供急需的数据。 它将适用于传统 NMR 无法容纳的不透明或金属容器中的样品。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。