甘酰基同肽及其银离子配合物的质谱扩散参数和三维结构分析——随机动力学方法

B. Ivanova, M. Spiteller
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引用次数: 0

摘要

本研究的主题是在电喷雾电离条件下,根据我们的“随机动力学”方法和模型方程,确定甘酰基同肽寡聚物及其agi -配合物的质谱扩散参数“DSD”。由于后一种公式在“DSD”数据之间连接,这个问题最近得到了关注;分析物离子的可测量结果“强度”;和实验参数“温度”分别。这些方程在经验上是可检验和可验证的。在推进这一创新观点的过程中,我们应该指出,在更大的化学类别和实验条件下进一步测试我们的公式是至关重要的,以验证它们对不同质谱电离方法的普遍适用性。因为,在上面概述的概念上,DSD参数与片段反应和量子化学扩散的动力学参数根据反映分析物三维分子结构的Arrhenius近似具有良好的线性相关性。我们的概念最重要的一点是,它极大地扩展了质谱的多维结构分析能力,当它应用于高精度量子化学静态和分子动力学方法时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mass spectrometric diffusion parameters and 3D structural analysis of oligomeric associates of glycylhomopeptides and their complexes of silver(I) ion – a stochastic dynamics approach
The topic to this study is determination of mass spectrometric diffusion parameters “DSD” of oligomeric associates of glycylhomopeptides and their AgI–complexes according to our “stochastic dynamic” approach and model equations under electrospray ionization condition. The problematic has recently gained attenion thanks to the latter formulas connecting among “DSD” data; the measurable outcome “intensity” of analyte ions; and the experimental parameter “temperature,” respectively. The equations are empirically testable and verifiable. In advancing this innovative view upon which models we will carry out analysis of ions of oligomeric associates of peptides, we should point out that it is crucial to further test our formulas on a larger set of chemical classes and experimental conditions in order to verify their universal applicability to different mass spectrometric ionization methods. Because of, on the concept sketched above the DSD parameters correlate excellent linearly with kinetic parameters of fragment reactions and quantum chemical diffusions according to the Arrhenius’s approximation which reflects the 3D molecular structures of analytes. The most important point regarding our concept is that it extends crucially the capability of the mass spectrometry of multidimentional structural analysis when is applied to high accuracy quantum chemical static and molecular dynamic approaches.
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