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.

向巴黎圣母院颁发了奖励，以开发在线表面增强的拉曼散射（SERS）检测器与液相色谱（LC）兼容，其目的是识别代谢物。为LC开发SERS探测器为研究生和本科生提供了独特的培训机会。 培训多样化的科学劳动力对于维持高度集中的知识和技术密集型产业建设和使用化学仪器至关重要。该项目将开发可以在学生接触此过程的同时，可以在商业上获得许可和销售的技术和知识产权。 将研究与PI教学的整合将为促进生化分析提供一个统一的平台，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。宣传计划将为来自邻近的女学生圣玛丽学院的学生提供这些本科研究机会。 PI正在积极探索利用研究基础设施进行正规课程和学生培训。开发的教学工具可以降低教育的财政成本，同时增加学生参与科学研究过程。代谢分析已成为系统生物学研究的宝贵工具。 SERS已经证明了检测和识别以当前技术（例如质谱（MS））表征的具有挑战性的分子的能力，因此将为与代谢相关的生化途径提供新的见解。该方法基于我们最近的结果，表明流量中的SERS检测高通知，高敏性。产生SERS光谱的振动模式对分子结构敏感，并且可以区分MS检测中有问题的异构体物种。 LC-SERS应为更常见的LC-MS提供互补的特征，从而提供对代谢组的更完整覆盖范围。 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，可以避免使用不同的样本制剂，从而促进他人的采用。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的审查标准，被认为值得通过评估来获得支持。