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傅里叶变换离子回旋共振质谱中的数据处理

Data processing in Fourier transform ion cyclotron resonance mass spectrometry.

作者信息

Qi Yulin, O'Connor Peter B

机构信息

Department of Chemistry, University of Warwick, Coventry, CV4 7AL, United Kingdom.

出版信息

Mass Spectrom Rev. 2014 Sep-Oct;33(5):333-52. doi: 10.1002/mas.21414. Epub 2014 Jan 8.

Abstract

The Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometer intricately couples advanced physics, instrumentation, and electronics with chemical and particularly biochemical research. However, general understanding of the data processing methodologies used lags instrumentation, and most data processing algorithms we are familiar with in FT-ICR are not well studied; thus, professional skill and training in FT-ICR operation and data analysis is still the key to achieve high performance in FT-ICR. This review article is focused on FT-ICR data processing, and explains the procedures step-by-step for users with the goal of maximizing spectral features, such as mass accuracy, resolving power, dynamic range, and detection limits.

摘要

傅里叶变换离子回旋共振(FT-ICR)质谱仪将先进的物理、仪器和电子技术与化学尤其是生物化学研究进行了复杂的结合。然而,对其所用数据处理方法的普遍理解滞后于仪器发展,并且我们熟悉的FT-ICR中的大多数数据处理算法尚未得到充分研究;因此,FT-ICR操作和数据分析方面的专业技能和培训仍然是在FT-ICR中实现高性能的关键。本文综述聚焦于FT-ICR数据处理,并为用户逐步解释相关程序,目标是最大化光谱特征,如质量精度、分辨率、动态范围和检测限。

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