GOALI: Collaborative Research: Next generation 2D-LC with greatly improved quantitative performance: Innovations in hardware, software, and methodology

目标：协作研究：定量性能大幅提高的下一代 2D-LC：硬件、软件和方法方面的创新

• 批准号: 1507332
• 负责人: Maryanne Collinson
• 金额: $ 40.67万
• 依托单位: Virginia Commonwealth University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2021-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1507332&HistoricalAwards=false
• 关键词: GOALI; Collaborative; Research; Next; generation

In this project funded by the Chemical Measurement and Imaging program of the Chemistry Division, Professors Dwight Stoll of Gustavus Adolphus College and Sarah Rutan of Virginia Commonwealth University are studying fundamental aspects of the quantitative performance of two-dimensional liquid chromatography (2D-LC). 2D-LC is an analytical methodology used for separation of inherently complex materials including urine, blood, urban wastewater, and the products of chemical and biological synthesis. The separation power of 2D-LC is well suited to better understand such complex samples in fields ranging from medicine and pharmaceutical development to environmental chemistry. However, state-of-the-art 2D-LC currently suffers from poorer sensitivity and precision compared to more conventional methods, and this limits its scope of application. This academic/industrial collaboration between Gustavus Adolphus College, Virginia Commonwealth University, and Agilent Technologies will enable a deeper fundamental understanding of these limitations and support the development of novel technologies to improve the quantitative performance of 2D-LC.This project will leverage the strengths of the collaboration partners to address the limitations in quantitative performance of 2D-LC through a combination of complementary strategies. Simulations will be developed to better understand the underlying fundamental limitations of coupling the two dimensions in 2D-LC, novel valve technology will be developed and its performance characterized experimentally, and computer-based data analysis methods will be developed that enable better utilization of the multi-dimensional structure of data produced by 2D-LC methods. It is expected that the detection limits of 2D-LC will be improved at least five-fold, and that the quantitative precision will be improved so that it is competitive with conventional liquid chromatography. The broader impacts of the work include: wider application of 2D-LC as a high resolution separation technique across the life sciences and chemical industries; engagement of students at the high school, undergraduate, and graduate levels in cutting-edge research; and development of simulations that will facilitate more efficient and deeper learning about critical concepts in liquid chromatography.

在这个由化学系化学测量和成像计划资助的项目中，Gustavus Adolphus学院的Dwight Stoll教授和弗吉尼亚联邦大学的Sarah Rutan教授正在研究二维液相色谱(2D-LC)定量性能的基本方面。2D-LC是一种用于分离尿液、血液、城市废水以及化学和生物合成产物等固有复杂物质的分析方法。2D-LC的分离能力非常适合于更好地理解从医药和药物开发到环境化学等领域的复杂样品。然而，目前最先进的2D-LC与传统方法相比，其灵敏度和精度较差，这限制了其应用范围。Gustavus Adolphus学院、弗吉尼亚联邦大学和安捷伦技术公司之间的这一学术/行业合作将使我们能够更深入地了解这些限制，并支持新技术的开发，以提高2D-LC的定量性能。该项目将利用合作伙伴的优势，通过互补策略的组合来解决2D-LC在定量性能方面的限制。将开发模拟以更好地了解2D-LC中耦合两个维度的潜在基本限制，将开发新的阀门技术并通过实验表征其性能，并将开发基于计算机的数据分析方法，以更好地利用2D-LC方法产生的数据的多维结构。预计2D-LC的检测限将提高至少5倍，定量精密度将得到提高，从而与传统的液相色谱相竞争。这项工作的更广泛影响包括：2D-LC作为一种高分辨率分离技术在生命科学和化工行业中的更广泛应用；让高中、本科生和研究生参与尖端研究；以及开发有助于更有效和更深入地学习液相色谱关键概念的模拟。