Draper Benjamin E, Jarrold Martin F
Chemistry Department, Indiana University, 800 E Kirkwood Ave, Bloomington, IN, 47405, USA.
J Am Soc Mass Spectrom. 2019 Jun;30(6):898-904. doi: 10.1007/s13361-019-02172-z. Epub 2019 Apr 16.
Charge detection mass spectrometry (CDMS) is an important tool for measuring mass distributions for high mass samples and heterogeneous mixtures. In CDMS, single ions are trapped and their m/z and charge are measured simultaneously. As a single particle technique, the average signal must be optimized to maximize the number of single ion trapping events. If the average signal is too small, most of the trapping events will be empty, and if the average signal is too large, most of the trapping events will contain multiple ions. In recent embodiments, the time domain signal from the trapped ion is analyzed by fast Fourier transforms. The analysis time is much longer that the data collection time which precludes real-time optimization of the experimental conditions. In this paper, we describe the implementation of CDMS with real-time analysis. Processing the data in real time allows the average signal intensities to be dynamically optimized to maximize the number of single ion trapping events. Real-time analysis also allows the experimental settings to be optimized in a timely manner to target specific mass regimes to maximize the useful information content of the measurements. Graphical Abstract .
电荷检测质谱法（CDMS）是用于测量高质量样品和非均匀混合物质量分布的重要工具。在CDMS中，单个离子被捕获，同时测量其质荷比（m/z）和电荷。作为一种单粒子技术，必须优化平均信号以最大化单离子捕获事件的数量。如果平均信号太小，大多数捕获事件将为空，如果平均信号太大，大多数捕获事件将包含多个离子。在最近的实施方案中，通过快速傅里叶变换分析来自捕获离子的时域信号。分析时间比数据收集时间长得多，这排除了对实验条件进行实时优化。在本文中，我们描述了具有实时分析功能的CDMS的实现。实时处理数据可以动态优化平均信号强度，以最大化单离子捕获事件的数量。实时分析还允许及时优化实验设置，以针对特定质量范围，从而最大化测量的有用信息含量。图形摘要 。
