A Mass Spectrometry Probe for Transient Imaging of In-Solution Biochemistry

用于溶液内生物化学瞬态成像的质谱探针

基本信息

  • 批准号:
    8541869
  • 负责人:
  • 金额:
    $ 17.84万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-09-01 至 2015-08-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Quite frequently in biomedical research there is a need to detect and monitor dynamic chemistries in solution in the vicinity of an interface. For instance, many studies focus on detection of chemical secretions from cultured tissues or cells into the surrounding medium. Often, such applications place specific demands on the required spatial and temporal resolution of the detection method. When monitoring secretions this would be due to heterogeneity in the cell types and behavior, and also variation in cellular activities with time. Labeling, with, for instance, a fluorescent marker, a radioactive marker, or using antigen/ antibody attachment, has been spectacularly successful as the foundation for imaging dynamic biochemistry, but concerns about the altering of labeled analyte behavior and non-specific binding cannot be eliminated. Furthermore, all targeted methods, including those based on labeling, are inherently limited in their discovery potential, as one cannot find what one is not looking for. The purpose of the proposed research is to overcome the inherent limitations of current biochemical imaging technologies. This will be done through the development of electrospray ion sources that can serve as mass spectrometry probes (MSP) for highly resolved biochemical detection from the microenvironment adjacent to biological interfaces. The research team has a demonstrated history of success inventing novel mass spectrometry ion sources, and proposes, for this project, to accomplish the ambitious task of combining all prerequisite capabilities for sample collection, processing, and ionization into a micro- sampling capillary. This "lab-on-a-tip" will include in-line microdialysis to remove salts and exchange solvent, as well as an integrated tryptic digestion micro-reactor. The research team will develop, optimize and demonstrate MSP through an established multifaceted approach combining experiment (including optical and mass spec characterization), analysis and simulation (first principles physical models and computational fluid dynamics), and state of the art manufacturing (microfabrication). MSP will assume an important role in biological research as a hypothesis generator, and will become a key tool in improving development of bioreactors for regenerative medicine applications. Successful results have potential for transformational benefits to a wide range of research applications, including biomarker discovery, improved understanding of healthy and diseased cell biology, biosensor development, and bio-manufacturing process analysis and control. In addition to presentation at conferences and publication in archival journals, the application of MSP technology to biological problems will be disseminated through an educational workshop hosted at Ga. Tech. Furthermore, the probe will be coupled to a TOF mass spectrometer that is part of the NSF supported National Nanotechnology Infrastructure Network (NNIN), and therefore available to users from industry and academic institutions alike.
描述(由申请人提供):在生物医学研究中,经常需要检测和监测界面附近溶液中的动态化学物质。例如,许多研究侧重于检测培养组织或细胞进入周围培养基的化学分泌物。通常,这种应用对检测方法所需的空间和时间分辨率提出了具体要求。当监测分泌物时,这可能是由于细胞类型和行为的异质性,以及细胞活动随时间的变化。标记,例如,荧光标记,放射性标记,或使用抗原/抗体附着,已经非常成功地作为成像动态生物化学的基础,但有关标记的分析物的行为和非特异性结合的改变的担忧不能消除。此外,所有有针对性的方法,包括那些基于标记的方法,在其发现潜力方面固有地受到限制,因为人们无法找到他们不寻找的东西。这项研究的目的是克服目前生化成像技术的固有局限性。这将通过电喷雾离子源的发展,可以作为质谱探针(MSP)的高分辨率生化检测从邻近生物界面的微环境。该研究小组在成功发明新型质谱离子源方面有着悠久的历史,并提出,对于该项目,要完成将样品收集,处理和电离的所有先决条件结合到微量取样毛细管中的雄心勃勃的任务。这种“尖端实验室”将包括在线微透析,以去除盐和交换溶剂,以及集成的胰蛋白酶消化微反应器。该研究团队将通过一种成熟的多方面方法开发,优化和演示MSP,该方法结合了实验(包括光学和质谱表征),分析和模拟(第一原理物理模型和计算流体动力学)以及最先进的制造(微加工)。MSP将在生物学研究中作为假设生成器发挥重要作用,并将成为改善再生医学应用生物反应器开发的关键工具。成功的结果有可能为广泛的研究应用带来变革性的好处,包括生物标志物的发现,提高对健康和患病细胞生物学的理解,生物传感器的开发以及生物制造过程的分析和控制。除了在会议上介绍和在档案期刊上发表,MSP技术在生物学问题上的应用将通过在佐治亚州举办的教育讲习班传播。Tech.此外,该探针将与TOF质谱仪耦合,该质谱仪是NSF支持的国家纳米技术基础设施网络(NNIN)的一部分,因此可供工业和学术机构的用户使用。

项目成果

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ANDREI G FEDOROV其他文献

ANDREI G FEDOROV的其他文献

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{{ truncateString('ANDREI G FEDOROV', 18)}}的其他基金

BeamMap: Ultra-High Resolution Topological and Chemical Imaging with Synergistic Liquid and Electron Beams
BeamMap:使用协同液体和电子束进行超高分辨率拓扑和化学成像
  • 批准号:
    10439918
  • 财政年份:
    2020
  • 资助金额:
    $ 17.84万
  • 项目类别:
BeamMap: Ultra-High Resolution Topological and Chemical Imaging with Synergistic Liquid and Electron Beams
BeamMap:使用协同液体和电子束进行超高分辨率拓扑和化学成像
  • 批准号:
    10029717
  • 财政年份:
    2020
  • 资助金额:
    $ 17.84万
  • 项目类别:
BeamMap: Ultra-High Resolution Topological and Chemical Imaging with Synergistic Liquid and Electron Beams
BeamMap:使用协同液体和电子束进行超高分辨率拓扑和化学成像
  • 批准号:
    10251247
  • 财政年份:
    2020
  • 资助金额:
    $ 17.84万
  • 项目类别:
BEAMMAP: ULTRA-HIGH RESOLUTION TOPOLOGICAL AND CHEMICAL IMAGING WITH SYNERG
BEAMMAP:使用 SYNERG 进行超高分辨率拓扑和化学成像
  • 批准号:
    10581771
  • 财政年份:
    2020
  • 资助金额:
    $ 17.84万
  • 项目类别:
DRILL: Droplet Desolvation and Ion Transmission Interface for Mass Spectrometry
DRILL:用于质谱分析的液滴去溶剂化和离子传输接口
  • 批准号:
    9315888
  • 财政年份:
    2014
  • 资助金额:
    $ 17.84万
  • 项目类别:
DRILL: Droplet Desolvation and Ion Transmission Interface for Mass Spectrometry
DRILL:用于质谱分析的液滴去溶剂化和离子传输接口
  • 批准号:
    8800094
  • 财政年份:
    2014
  • 资助金额:
    $ 17.84万
  • 项目类别:
DRILL: Droplet Desolvation and Ion Transmission Interface for Mass Spectrometry
DRILL:用于质谱分析的液滴去溶剂化和离子传输接口
  • 批准号:
    8927665
  • 财政年份:
    2014
  • 资助金额:
    $ 17.84万
  • 项目类别:
A Mass Spectrometry Probe for Transient Imaging of In-Solution Biochemistry
用于溶液内生物化学瞬态成像的质谱探针
  • 批准号:
    8162751
  • 财政年份:
    2011
  • 资助金额:
    $ 17.84万
  • 项目类别:
A Mass Spectrometry Probe for Transient Imaging of In-Solution Biochemistry
用于溶液内生物化学瞬态成像的质谱探针
  • 批准号:
    8322652
  • 财政年份:
    2011
  • 资助金额:
    $ 17.84万
  • 项目类别:
Array of Micromachined UltraSonic Electrosprays Bioanalytical Mass Spectrometry
微机械超声电喷雾生物分析质谱阵列
  • 批准号:
    7286862
  • 财政年份:
    2006
  • 资助金额:
    $ 17.84万
  • 项目类别:

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