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-技术转化合作伙伴关系（PFI-TT）项目的更广泛影响/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，可提供未知化学品的结构数据，识别混合物的组成，并监测化学反应。传统的设备价格昂贵，并且由于内部强磁体的技术限制而占用大量空间。该项目提出了一种新的设备来解决这些限制。该项目开发了一种用户友好、价格低廉的系统，其吞吐量是现有设备的50-100倍。该项目旨在通过开发一种系统来克服化学分析中的长期挑战，该系统可以同时对多个样品进行NMR光谱分析，吞吐量是现有系统的许多倍。提出的零至超低场NMR（ZULF-NMR）光谱在实验室规模的磁屏蔽空间内进行。 该系统将通过其快速的化学测量能力来帮助机器人化学系统的开发，这将为自动化机器人的机器学习模型提供急需的数据。 该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。