为质谱添加颜色:电荷测定分析(CHARDA)为每个离子峰分配电荷状态

Y. Lyutvinskiy, K. Nagornov, Anton N. Kozhinov, N. Gasilova, L. Menin, Zhaowei Meng, Xuepei Zhang, A. Saei, Y. Tsybin, A. Makarov, R. Zubarev
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引用次数: 0

摘要

传统上,质谱(MS)输出是绘制离子丰度与离子质量电荷比m/z。虽然仅使用市售设备,但电荷测定分析(CHARDA)为质谱增加了第三个维度,从z=1开始估计单个峰的电荷状态z,并在m/z光谱中进行颜色编码z。CHARDA将傅里叶变换(FT)质谱中离子信号衰减率的时域数据(瞬态)分析与生物聚合物质量缺陷的询问相结合。CHARDA被应用于复杂蛋白质串联(MS/MS)数据集中的单个同位素峰,有助于在拥挤区域对大离子种进行电荷态反褶积,即使在没有同位素分布的情况下(例如,单同位素质谱)也能估计z。CHARDA快速,稳健,与传统FT MS和FT MS/MS数据采集程序一致。获得了有效电荷态分辨率Rz≥6,具有进一步改进的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adding colour to mass spectra: Charge Determination Analysis (CHARDA) assigns charge state to every ion peak
Traditionally, mass spectrometry (MS) output is the ion abundance plotted versus ionic mass-to-charge ratio m/z. While employing only commercially available equipment, Charge Determination Analysis (CHARDA) adds a third dimension to MS, estimating for individual peaks their charge states z, starting from z=1, and colour-coding z in m/z spectra. CHARDA combines the analysis of ion signal decay rates in the time-domain data (transients) in Fourier transform (FT) MS with the interrogation of mass defects of biopolymers. Being applied to individual isotopic peaks in a complex protein tandem (MS/MS) dataset, CHARDA facilitates charge state deconvolution of large ionic species in crowded regions, estimating z even in the absence of isotopic distribution (e.g., for monoisotopic mass spectra). CHARDA is fast, robust and consistent with conventional FT MS and FT MS/MS data acquisition procedures. An effective charge state resolution Rz≥6 is obtained, with potential for further improvements.
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