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.

在这个由化学部化学测量和成像计划资助的项目中，Gustavus Adolphus学院的德怀特斯托尔教授和弗吉尼亚联邦大学的莎拉·鲁坦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是一种用于分离固有复杂材料的分析方法，包括尿液，血液，城市废水以及化学和生物合成产物。2D-LC的分离能力非常适合更好地了解从医学和制药开发到环境化学等领域的复杂样品。然而，与更常规的方法相比，目前最先进的2D-LC具有较差的灵敏度和精度，这限制了其应用范围。弗吉尼亚联邦大学古斯塔夫斯·阿道夫学院与弗吉尼亚联邦大学之间的学术/工业合作，和安捷伦科技公司将使这些限制有一个更深入的基本了解，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，以解决2D-LC定量性能的限制，LC通过互补战略的组合。模拟将被开发，以更好地了解耦合的二维二维LC的基本限制，新的阀门技术将被开发，其性能的实验表征，和基于计算机的数据分析方法将被开发，使更好地利用二维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五倍，并且定量精度将提高，从而与常规液相色谱竞争。这项工作的更广泛影响包括：2D-LC作为高分辨率分离技术在生命科学和化学工业中的更广泛应用;高中，本科和研究生阶段的学生参与前沿研究;以及开发模拟，以促进更有效和更深入地学习液相色谱中的关键概念。