Adding colour to mass spectra: Charge Determination Analysis (CHARDA) assigns charge state to every ion peak

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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Abstract

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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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
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。
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