Nanostructure-initiator mass spectrometry: a protocol for preparing and applying NIMS surfaces for high-sensitivity mass analysis
Nanostructure-initiator mass spectrometry: a protocol for preparing and applying NIMS surfaces for high-sensitivity mass analysis
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DOI：
10.1038/nprot.2008.110
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发表时间：
2008-01-01
期刊：
影响因子：
14.8
通讯作者：
Siuzdak, Gary
中科院分区：
文献类型：
--
作者：
Woo, Hin-Koon;Northen, Trent R.;Siuzdak, Gary
纳米结构引发剂质谱 (NIMS) 是一种基于表面的新型 MS 技术，它使用纳米结构表面捕获液体（“引发剂”）化合物。随后，通过激光照射释放吸附在该“包合物”表面上的分析物材料以进行质量分析。在此协议中，我们描述了能够使用引发剂化合物 BisF17 产生低背景和高灵敏度质谱测量的 NIMS 表面的制备。吸附到该表面的分析物的例子有小分子、药物、脂质、碳水化合物和肽。通常，NIMS 用于分析从简单的分析标准品和蛋白水解消化物到更复杂的样品（例如组织、细胞和生物流体）的样品。描述了 NIMS 的关键实验考虑因素。具体而言，NIMS 灵敏度被检查为蚀刻前清洁处理、蚀刻电流密度、蚀刻时间、引发剂组成、样品浓度、样品沉积方法和激光注量的函数。通常，NIMS 表面处理可在 2 小时内完成。随后的样品制备需要 1-5 分钟，具体取决于样品沉积方法。每个样品的质谱数据采集通常需要 1-30 秒。
Nanostructure-initiator mass spectrometry (NIMS) is a new surface-based MS technique that uses a nanostructured surface to trap liquid ('initiator') compounds. Analyte materials adsorbed onto this 'clathrate' surface are subsequently released by laser irradiation for mass analysis. In this protocol, we describe the preparation of NIMS surfaces capable of producing low background and high-sensitivity mass spectrometric measurement using the initiator compound BisF17. Examples of analytes that adsorb to this surface are small molecules, drugs, lipids, carbohydrates and peptides. Typically, NIMS is used to analyze samples ranging from simple analytical standards and proteolytic digests to more complex samples such as tissues, cells and biofluids. Critical experimental considerations of NIMS are described. Specifically, NIMS sensitivity is examined as a function of pre-etch cleaning treatment, etching current density, etching time, initiator composition, sample concentration, sample deposition method and laser fluence. Typically, NIMS surface preparation can be completed in less than 2 h. Subsequent sample preparation requires 1-5 min, depending on sample deposition method. Mass spectrometric data acquisition typically takes 1-30 s per sample.