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一种用于电喷雾质荷比谱快速自动电荷态去卷积的通用算法。

A universal algorithm for fast and automated charge state deconvolution of electrospray mass-to-charge ratio spectra.

作者信息

Zhang Z, Marshall A G

机构信息

Center for Interdisciplinary Magnetic Resonance, Florida State University, Tallahassee, USA.

出版信息

J Am Soc Mass Spectrom. 1998 Mar;9(3):225-33. doi: 10.1016/S1044-0305(97)00284-5.

Abstract

This article describes a new algorithm for charge state determination and deconvolution of electrospray ionization (ESI) mass-to-charge ratio spectra. The algorithm (ZSCORE) is based on a charge scoring scheme that incorporates all above-threshold members of a family of charge states or isotopic components, and deconvolves both low- and high-resolution mass-to-charge ratio spectra, with or without a peak list (stick plot). A scoring weight factor, log (I/I0), in which I is the signal magnitude at a calculated mass-to-charge ratio, and I0 is the signal threshold near that mass-to-charge ratio, was used in most cases. For high-resolution mass-to-charge ratio spectra in which all isotopic peaks are resolved, the algorithm can deconvolve overlapped isotopic multiplets of the same or different charge state. Compared to other deconvolution techniques, the algorithm is robust, rapid, and fully automated (i.e., no user input during the deconvolution process). It eliminates artifact peaks without introducing peak distortions. Its performance is demonstrated for experimental ESI Fourier transform ion cyclotron resonance mass-to-charge ratio spectra (both low and high resolution). Charge state deconvolution to yield a "zero-charge" mass spectrum should prove particularly useful for interpreting spectra of complex mixtures, identifying contaminants, noncovalent adducts, fragments (N-terminal, C-terminal, internal), and chemical modifications of electrosprayed biomacromolecules.

摘要

本文介绍了一种用于电喷雾电离(ESI)质荷比谱电荷状态确定和解卷积的新算法。该算法(ZSCORE)基于一种电荷评分方案,该方案纳入了电荷状态家族或同位素组分中所有高于阈值的成员,并且可以对低分辨率和高分辨率质荷比谱进行解卷积,无论有无峰列表(棒图)。在大多数情况下,使用了一个评分权重因子log(I/I0),其中I是计算出的质荷比处的信号强度,I0是该质荷比附近的信号阈值。对于所有同位素峰都已分辨的高分辨率质荷比谱,该算法可以对相同或不同电荷状态的重叠同位素多重峰进行解卷积。与其他解卷积技术相比,该算法稳健、快速且完全自动化(即解卷积过程中无需用户输入)。它可以消除伪峰而不会引入峰畸变。其性能在实验性ESI傅里叶变换离子回旋共振质荷比谱(低分辨率和高分辨率)中得到了证明。电荷状态解卷积以产生“零电荷”质谱对于解释复杂混合物的谱图、识别污染物、非共价加合物、片段(N端、C端、内部)以及电喷雾生物大分子的化学修饰应特别有用。

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