Taylor–Aris Dispersion-Assisted Mass Spectrometry for the Analysis of Native Proteins

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL Analytical Chemistry Pub Date : 2024-07-01 DOI:10.1021/acs.analchem.4c01270
Ruben Szabo, Gyongyi Gyemant, Cynthia Nagy, Melinda Andrasi and Attila Gaspar*, 
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Abstract

As has recently been shown, Taylor–Aris dispersion-assisted mass spectrometry (TADA-MS) can offer direct injection MS determinations in fields where the targets of the analyses are large molecules present in a matrix that would otherwise cause serious interferences. In the present study, we demonstrated the exceptional utility of TADA-MS in native protein analysis: (i) a dramatic improvement in detection sensitivity was found due to its ability to strongly reduce matrix interferences, (ii) more “native-like” conditions can be used during analyses, (iii) the direct injection of non-MS-compatible matrices is allowed into MS, and (iv) a considerable simplification and economization of the workflow is ensured. We investigated the behavior of different types of proteins and protein complexes present under native conditions, demonstrating the unambiguous benefits and simplicity of the method.

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用于分析原生蛋白质的 Taylor-Aris 分散辅助质谱法。
最近的研究表明,泰勒-阿里斯色散辅助质谱法(TADA-MS)可以在分析对象为基质中存在的大分子的领域提供直接进样质谱测定,否则会造成严重的干扰。在本研究中,我们证明了 TADA-MS 在原生蛋白质分析中的特殊作用:(i) 由于其能够大大减少基质干扰,检测灵敏度得到显著提高;(ii) 在分析过程中可以使用更 "原生 "的条件;(iii) 允许将非 MS 兼容的基质直接注入 MS;(iv) 确保了工作流程的极大简化和经济化。我们研究了不同类型的蛋白质和蛋白质复合物在原生条件下的表现,证明了该方法的明显优势和简便性。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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