首页> 外文期刊>Methods: A Companion to Methods in Enzymology >Nonresonant, femtosecond laser vaporization and electrospray post-ionization mass spectrometry as a tool for biological tissue imaging
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Nonresonant, femtosecond laser vaporization and electrospray post-ionization mass spectrometry as a tool for biological tissue imaging

机译:非共振飞秒激光汽化和电喷雾后电离质谱法作为生物组织成像的工具

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摘要

An ambient mass spectrometry imaging (MSI) source is demonstrated with both high spatial and mass resolution that enables measurement of the compositional heterogeneity within a biological tissue sample. The source is based on nonresonant, femtosecond laser electrospray mass spectrometry (LEMS) coupled to a quadrupole time-of-flight (QTOF) mass analyzer. No matrix deposition and minimal sample preparation is necessary for the source. The laser, translation stage, and mass spectrometer are synchronized and controlled using a customized user interface. Single or multiple laser shots may be applied to each pixel. A scanning rate of 2.0 s per pixel is achieved. Measurement of a patterned ink film indicates the potential of LEMS for ambient imaging with a lateral resolution of similar to 60 mu m. Metabolites including sugar, anthocyanins and other small metabolites were successfully mapped from plant samples without oversampling using a spot size of 60 x 70 mu m(2). Molecular identification of the detected analytes from the tissue was enabled by accurate mass measurement in conjunction with tandem mass spectrometry. Statistical analysis, non-negative matrix factorization and principle component analysis, were applied to the imaging data to extract regions with distinct and/or correlated spectral profiles. (C) 2016 Elsevier Inc. All rights reserved.
机译:演示了具有高空间分辨率和质量分辨率的环境质谱成像(MSI)源,它能够测量生物组织样品中的成分异质性。该源基于与四极杆飞行时间(QTOF)质量分析仪耦合的非共振飞秒激光电喷雾质谱(LEMS)。不需要基质沉积,并且样品制备最少。激光,平移台和质谱仪使用定制的用户界面进行同步和控制。单个或多个激光照射可以应用于每个像素。每个像素的扫描速度为2.0 s。图案油墨膜的测量表明LEMS在环境成像中的潜力,其横向分辨率约为60微米。已成功地从植物样品中绘制了包括糖,花色苷和其他小代谢物在内的代谢物,而无需使用60 x 70μm(2)的斑点大小进行过采样。通过精确的质量测量与串联质谱联用,可以从组织中对检测到的分析物进行分子鉴定。将统计分析,非负矩阵分解和主成分分析应用于成像数据,以提取具有不同和/或相关光谱轮廓的区域。 (C)2016 Elsevier Inc.保留所有权利。

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