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四极杆离子阱系统的压缩质量分析

Compressive mass analysis on quadrupole ion trap systems.

作者信息

Chen Evan Xuguang, Gehm Michael, Danell Ryan, Wells Mitch, Glass Jeffrey T, Brady David

机构信息

Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA.

出版信息

J Am Soc Mass Spectrom. 2014 Jul;25(7):1295-304. doi: 10.1007/s13361-014-0894-z. Epub 2014 May 8.

DOI:10.1007/s13361-014-0894-z
PMID:24806048
Abstract

Conventionally, quadrupole ion trap mass spectrometers eject ions of different mass-to-charge ratio (m/z) in a sequential fashion by performing a scan of the rf trapping voltage amplitude. Due to the inherent sparsity of most mass spectra, the detector measures no signal for much of the scan time. By exploiting this sparsity property, we propose a new compressive and multiplexed mass analysis approach--multi Resonant Frequency Excitation (mRFE) ejection. This new approach divides the mass spectrum into several mass subranges and detects all the subrange spectra in parallel for increased mass analysis speed. Mathematical estimation of standard mass spectrum is demonstrated while statistical classification on the parallel measurements remains viable because of the sparse nature of the mass spectra. This method can reduce mass analysis time by a factor of 3-6 and increase system duty cycle by 2×. The combination of reduced analysis time and accurate compound classification is demonstrated in a commercial quadrupole ion trap (QIT) system.

摘要

传统上,四极杆离子阱质谱仪通过对射频阱电压幅度进行扫描,以顺序方式逐出不同质荷比(m/z)的离子。由于大多数质谱固有的稀疏性,在大部分扫描时间内,检测器检测不到信号。通过利用这种稀疏特性,我们提出了一种新的压缩和多路复用质量分析方法——多共振频率激发(mRFE)逐出。这种新方法将质谱划分为几个质量子范围,并并行检测所有子范围的谱图,以提高质量分析速度。结果表明,可以对标准质谱进行数学估计,同时由于质谱的稀疏性质,对并行测量进行统计分类仍然可行。该方法可以将质量分析时间缩短3至6倍,并将系统占空比提高2倍。在商用四极杆离子阱(QIT)系统中展示了缩短分析时间与准确化合物分类相结合的效果。

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