IDBR: TYPE A, Online Liquid Chromatography - Surface Enhanced Raman Detection for Metabolic Profiling

IDBR：A 型，在线液相色谱 - 用于代谢分析的表面增强拉曼检测

• 批准号: 1830153
• 负责人: Zachary Schultz
• 金额: $ 12.3万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1830153&HistoricalAwards=false
• 关键词: IDBR; TYPE; Online; Liquid; Chromatography

An award is made to the University of Notre Dame to develop an online surface enhanced Raman scattering (SERS) detector compatible with liquid chromatography (LC) whose purpose is to identify metabolites. Developing the SERS detector for LC provides a unique training opportunity for graduate and undergraduate students. Training a diverse scientific workforce is essential to maintaining the high concentration of knowledge- and technology- intensive industries building and utilizing chemical instrumentation. This project will develop technology and intellectual property that can be licensed and marketed commercially while exposing students to this process. Integration of the research with the PI's teaching will provide a unified platform for promoting biochemical analysis, providing training opportunities for both graduate and undergraduate students to gain research skills relevant to academic research and commercial interests. An outreach program will provide these undergraduate research opportunities to students from the neighboring, all-woman, St. Mary's College. The PI is actively exploring leveraging research infrastructure for both formal coursework and student training. The pedagogical tools developed may reduce the fiscal cost of education while increasing student engagement in the scientific research process. Metabolic profiling has become a valuable tool for systems biology studies. SERS has demonstrated the ability to detect and identify molecules that are challenging to characterize by current technology, such as mass spectrometry (MS), and thus will provide new insights into biochemical pathways associated with metabolism. The approach builds from our recent results demonstrating high-throughput, high-sensitivity, SERS detection in flow. The vibrational modes that give rise to the SERS spectra are sensitive to molecular structure and can differentiate between isomeric species that are problematic in MS detection. LC-SERS should provide complementary characterization to the more common LC-MS, thus providing more complete coverage of the metabolome. To demonstrate the utility of the approach for metabolomics, metabolic profiling will be performed on beta-cells following glucose stimulation. By developing a method that works inline, different sample preparations can be avoided, facilitating adoption by others.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.

圣母大学获得了开发一种与液相色谱 (LC) 兼容的在线表面增强拉曼散射 (SERS) 检测器的奖项，其目的是识别代谢物。开发用于 LC 的 SERS 检测器为研究生和本科生提供了独特的培训机会。 培训多元化的科学劳动力对于维持化学仪器建设和使用的知识和技术密集型产业的高度集中至关重要。该项目将开发可在商业上获得许可和销售的技术和知识产权，同时让学生接触到这一过程。 研究与PI教学的结合将为促进生化分析提供统一的平台，为研究生和本科生提供培训机会，以获得与学术研究和商业利益相关的研究技能。一项外展计划将为来自邻近的全女子圣玛丽学院的学生提供这些本科生研究机会。 PI 正在积极探索利用研究基础设施进行正式课程作业和学生培训。开发的教学工具可以降低教育的财政成本，同时提高学生对科学研究过程的参与度。代谢分析已成为系统生物学研究的重要工具。 SERS 已证明能够检测和识别质谱 (MS) 等现有技术难以表征的分子，从而为与代谢相关的生化途径提供新的见解。该方法以我们最近的结果为基础，展示了流中的高通量、高灵敏度 SERS 检测。产生 SERS 光谱的振动模式对分子结构敏感，可以区分 MS 检测中存在问题的异构体。 LC-SERS 应为更常见的 LC-MS 提供补充表征，从而提供更完整的代谢组覆盖。 为了证明代谢组学方法的实用性，将在葡萄糖刺激后对 β 细胞进行代谢分析。 通过开发一种在线工作的方法，可以避免不同的样品制备，从而促进其他人的采用。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。