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Comprehensive analysis of alkenones and alkenoates by reversed phase HPLC-MS with unprecedented sensitivity and selectivity

Comprehensive analysis of alkenones and alkenoates by reversed phase HPLC-MS with unprecedented sensitivity and selectivity
通过反相 HPLC-MS 全面分析烯酮和烯酸酯,具有前所未有的灵敏度和选择性
批准号:
2234875
负责人:
Yongsong Huang
金额:
$30.44万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-01-15 至 2024-12-31

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中文摘要
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英文摘要
This project will develop sensitive and time-saving analytical methods to quantify an important class of organic compounds, long chain alkenones, in ocean and lake environments. Alkenones are produced only by microalgae belonging to the order Isochrysidales, with no other organisms known to make such compounds. Such unique compounds are termed biomarkers. Alkenone biomarkers are extremely resistant to break-down and have been found in geological sediments as old as 120 million years. Remarkably, alkenones measured from ocean and lake environments display consistent structural changes at different growth temperatures and also track aquatic photosynthetic productivity. Thus, measurement of alkenones in ancient sediments provides quantitative insights to past climate and aquatic productivity. That information helps predict future changes in climate and aquatic ecosystems in the era of global warming induced by human activities. The project Broader Impacts include support for a Ph.D. graduate student, undergraduate student researchers, and a high school summer intern. Traditionally, alkenones are analyzed using gas chromatograph coupled to a flame ionization detector (GCFID), or in extremely low concentration samples, gas chromatograph-chemical ionization mass spectrometry (GCCIMS). However, GCFID is non-selective (i.e., cannot exclude interferences if present) and has relatively low sensitivity and requires tedious sample cleanup for complex samples, whereas GCCIMS displays non-linear and often variable responses to alkenones, which increases analytical uncertainties. The proposed research takes advantage of the latest advances in high pressure liquid chromatograph mass spectrometry (HPLCMS). Preliminary data shows that the new reversed phase HPLC-MS based analytical methods will have much higher sensitivity (up to two orders of magnitudes), and exceptional selectivity (i.e., strong capability to exclude interferences) for analyzing alkenones. The proposed work includes testing various liquid chromatographic conditions (solvent elution schemes, column types) to optimize the chromatographic separation of long chain alkenones. Mass spectrometry parameters including two different ionization modes (atmospheric pressure chemical ionization, or electrospray ionization), and various electronic settings will also be optimized. A series of algal culture samples will be grown at different temperatures and measured using the traditional GCFID method. These culture samples will then be used as standards for calibration between the authentic alkenone proxy values and HPLCMS based measurements. A large set of global ocean surface sediments collected from diverse ocean environments and containing variable interferences will be analyzed to fully validate the new reversed phase HPLCMS methods.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.
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Acquisition of a continuous flow isotope ratio mass spectrometer (IRMS) system for the Organic Geochemistry Core Facility at Brown University
  • 批准号:
    2025125
  • 项目类别:
    Standard Grant
  • 资助金额:
    $38.75万
  • 财政年份:
    2020
  • 负责人:
    Yongsong Huang
  • 依托单位:
Acquisition of a gas chromatograph-mass spectrometer system at Department of Earth, Environmental and Planetary Sciences, Brown University
  • 批准号:
    1801017
  • 项目类别:
    Standard Grant
  • 资助金额:
    $9.67万
  • 财政年份:
    2019
  • 负责人:
    Yongsong Huang
  • 依托单位:
Beyond the unsaturation ratios (UK37' or UK37) of long chain alkenones: unlocking the hidden treasure trove of alkenone-producing haptophytes
  • 批准号:
    1762431
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.44万
  • 财政年份:
    2018
  • 负责人:
    Yongsong Huang
  • 依托单位:
Collaborative Research: Reconciling conflicting Arctic temperature and fire reconstructions using multi-proxy records from lake sediments north of the Brooks Range, Alaska
  • 批准号:
    1503846
  • 项目类别:
    Standard Grant
  • 资助金额:
    $55.62万
  • 财政年份:
    2015
  • 负责人:
    Yongsong Huang
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位:
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基于SERS纳米标签和光子晶体的单细胞Western Blot定量分析技术研究
  • 批准号:
    31900571
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2019
  • 负责人:
    刘兵
  • 依托单位: