Developing Novel Analytical Systems for Deciphering Complex Mixtures of Organic Compounds and Training the Next Generation of Scientists

开发新的分析系统来破译有机化合物的复杂混合物并培训下一代科学家

基本信息

批准号：
1764126
负责人：
Drew Gentner
金额：
$ 37.32万
依托单位：
Yale University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-07-15 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1764126&HistoricalAwards=false
关键词：
Developing Novel Analytical Systems Deciphering

项目摘要

This project is focused on developing methods for identifying and characterizing specific organic compounds or classes of compounds in a complex mixture of organics in the atmosphere. A large array of sophisticated analytical techniques and instrumentation will be used in the laboratory for optimal characterization of atmospheric gases and aerosols. Understanding the complex composition of gas and particle phase constituents is critically important for air quality studies, especially with regards to determining the toxicity of the inhaled components. The project includes support for graduate and undergraduate students to participate in the research. The project will also involve high school students from the EVOLUTIONS program. The goal of EVOLUTIONS is to supplement the formal school experiences of underserved students to develop transferable skills, STEM literacy, college preparation, and foster aspirations for STEM futures.This proposal involves methods development for offline analytical GC x MS-MS and LC x MS-MS techniques to improve characterization of compound classes that are difficult to measure using online techniques. Laboratory studies will be used to evaluate various analytical configurations for optimal characterization of classes of organics present in atmospheric aerosols, many that are likely important for the characterization of organic aerosol sources and atmospheric processing. In Task 1, an atmospheric pressure chemical ionization (APCI) source and a secondary electrospray ionization (SESI) source will be integrated with an Agilent GC x MS-MS. Method development will be employed to improve thermal extraction of intermediate volatility/ semi-volatile organic carbon (I/SVOCs) collected on adsorbent tubes. Task 2 is focused on LC x MS-MS method development, with specific focus on improving solvent extraction of highly oxygenated molecules (HOM) species collected on adsorbent tubes. Task 3 will intercompare results for target analytes (e.g. I/SVOCs, HOMs, organic nitrates) with an online ToF-CIMS. This work has the potential to contribute new insight to organic aerosol characterization, especially with regards to the intercomparison studies with ToF-CIMS.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.

该项目的重点是开发用于识别和表征大气中有机物复杂混合物中特定有机化合物或类别的方法。实验室将使用大量复杂的分析技术和仪器，以最佳表征大气气体和气溶胶。了解气体和颗粒相成分的复杂组成对于空气质量研究至关重要，尤其是在确定吸入成分的毒性方面。该项目包括支持研究生和本科生参加研究的支持。该项目还将涉及《演化计划》中的高中生。进化的目的是补充服务不足的学生的正规学校体验，以发展可转移的技能，识字能力，大学准备和促进STEM期货的愿望。该提案涉及开发离线分析GC X MS-MS和LC X MS-MS技术的方法，以改善难以使用在线技术来改进化合物表征的表征。实验室研究将用于评估各种分析构型，以最佳表征大气气溶胶中存在的有机物类别，这对于有机气溶胶来源和大气加工的表征可能很重要。在任务1中，大气压化学电离（APCI）源和二次电喷雾电离（SESI）源将与安捷伦GC X MS-MS集成。方法开发将用于改善在吸附管上收集的中间波动率/半挥发性有机碳（I/ SVOC）的热提取。任务2的重点是LC X MS-MS方法的开发，具体的重点是改善在吸附管上收集的高度氧分子（HOM）物种的溶剂提取。任务3将与在线TOF-CIMS的目标分析物（例如I/SVOC，HOMS，有机硝酸盐）相对应的结果。这项工作有可能为有机气雾剂表征做出新的见解，尤其是在与TOF-CIM进行比较的研究方面。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响来通过评估来获得支持的。

项目成果

期刊论文数量（14）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Advances in offline approaches for trace measurements of complex organic compound mixtures via soft ionization and high-resolution tandem mass spectrometry

通过软电离和高分辨率串联质谱离线测量复杂有机化合物混合物的进展

DOI：
10.1016/j.chroma.2019.03.037
发表时间：
2019
期刊：
Journal of Chromatography A
影响因子：
4.1
作者：
Khare, Peeyush;Marcotte, Aurelie;Sheu, Roger;Walsh, Anna N.;Ditto, Jenna C.;Gentner, Drew R.
通讯作者：
Gentner, Drew R.

Analysis of reduced and oxidized nitrogen-containing organic compounds at a coastal site in summer and winter