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Novel computational and instrumentation methodologies for biological Fourier-transform ion cyclotron resonance mass spectrometric (FT-ICR MS) imaging.

机译:用于生物学傅里叶变换离子回旋共振质谱(FT-ICR MS)成像的新型计算和仪器方法。

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摘要

Mass spectrometry imaging (MSI) is an emerging experimental methodology whose primary objective is the investigation of spatial variation of molecular composition within and across selected biological tissues to enable biomarker discovery, molecular diagnosis, and studies of drug metabolism, among other applications. The two major challenges, therefore, are the unambiguous identification and precise localization of biologically relevant compounds. These challenges can be recast as a problem of improving the accuracy and resolution of mass analyzers as well as the accuracy of the sample positioning robotics.;The first part of this work reports on the progress and outlines the strategies of application of a recently developed high resolution spectral analysis technique, called the Filter Diagonalization Method (FDM), for the investigation of space-charge related phenomena inside the detection cell of a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer (FT-ICR MS), understanding of which lies at the heart of the quest for further improvements in mass accuracy and resolution.;The FDM spectrographic analysis revealed previously unobserved rapid isotope-beat space-charge induced ICR frequency modulations, shown to reach up to +/- 400 ppm even on high quality spectra. The application of this methodology to the investigation of a frequently observed but previously unexplained phenomenon in FT-ICR MS, the Spontaneous Loss of Coherence Catastrophe, conclusively demonstrated that it is tied directly to the space charge effect and magnetron expansion.;The second part of this work reports on the development of the ionization source and vacuum compatible high precision sample positioning robotics for biological MSI applications, purpose built for FT-ICR MS. The complete design and implementation is reported herein, along with the demonstration of its performance and biological application.;The XY-positioning stage capable of operating under 10-8 mbar vacuum with submicron positioning accuracy along the entire ranges of motion of 100x100 mm was designed, built, and installed into the ionization sources of three MALDI FT-ICR MS instruments. Two dimensional chemo-spatial maps of rat brain tissue selections were constructed with 150 micron spatial resolution, identifying multiple ionic species with their distinct and discreet spatial localizations. These demonstrated performance characteristics greatly surpass current state-of-the-art robotics available for MALDI MSI and shift the effort of further improvements in spatial resolution to the ionization methodologies, and other ion source design issues, such as laser optics.
机译:质谱成像(MSI)是一种新兴的实验方法,其主要目标是研究所选生物组织内和跨选定生物组织的分子组成的空间变化,以实现生物标记物的发现,分子诊断以及药物代谢研究等。因此,两个主要挑战是生物相关化合物的明确鉴定和精确定位。这些挑战可以作为改善质量分析仪的准确性和分辨率以及样品定位机器人的准确性的问题而重铸。这项工作的第一部分报告了进展情况,并概述了最近开发的高水平分析仪的应用策略。分辨率光谱分析技术,称为滤波器对角化方法(FDM),用于研究傅立叶变换离子回旋加速器共振质谱仪(FT-ICR MS)检测单元内部与空间电荷相关的现象,了解其核心FDM光谱分析揭示了以前未观察到的快速同位素拍频空间电荷诱导的ICR频率调制,即使在高质量光谱上也显示高达+/- 400 ppm。该方法用于研究FT-ICR MS中经常观察到但以前无法解释的现象,即自发性的相干性突变,最终证明它与空间电荷效应和磁控管膨胀直接相关。这项工作报告了为生物MSI应用开发的电离源和与真空兼容的高精度样品定位机器人的发展,该机器人专为FT-ICR MS设计。本文报道了完整的设计和实现,以及其性能和生物学应用的演示。设计了能够在10-8 mbar真空下运行且在整个100x100 mm的运动范围内具有亚微米定位精度的XY定位平台,已安装并安装到三台MALDI FT-ICR MS仪器的电离源中。用150微米的空间分辨率构建大鼠脑组织选择的二维化学空间图,以其独特而谨慎的空间定位来识别多种离子物种。这些已证明的性能特征大大超越了可用于MALDI MSI的当前最先进的机器人技术,并将进一步提高空间分辨率的工作转移到了电离方法和其他离子源设计问题(例如激光光学系统)上。

著录项

  • 作者

    Aizikov, Konstantin.;

  • 作者单位

    Boston University.;

  • 授予单位 Boston University.;
  • 学科 Engineering Biomedical.;Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 120 p.
  • 总页数 120
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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