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项目资助的项目中，古斯塔夫斯阿道夫斯学院的 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。二维液相色谱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品。二维液相色谱的分离能力非常适合更好地了解从医学和药物开发到环境化学等领域的此类复杂样品。然而，与更传统的方法相比，最先进的二维液相色谱目前的灵敏度和精度较差，这限制了其应用范围。古斯塔夫斯阿道夫学院、弗吉尼亚联邦大学和安捷伦科技公司之间的学术/工业合作将使人们对这些局限性有更深入的基础了解，并支持新技术的开发，以提高二维液相色谱的定量性能。该项目将利用以下优势：合作伙伴通过互补策略的组合来解决二维液相色谱定量性能的局限性。将开发模拟以更好地理解二维液相色谱中二维耦合的潜在基本限制，将开发新颖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，以更好地利用多2D-LC 方法产生的数据的维结构。预计2D-LC的检测限将提高至少5倍，并且定量精度将得到提高，从而与传统液相色谱法具有竞争力。这项工作的更广泛影响包括： 二维液相色谱作为一种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、本科生和研究生水平的学生参与前沿研究；模拟的开发将有助于更有效、更深入地学习液相色谱中的关键概念。