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使用单位质量分辨率液相色谱/质谱系统对离子色谱图进行精确质量过滤以鉴定代谢物。

Accurate mass filtering of ion chromatograms for metabolite identification using a unit mass resolution liquid chromatography/mass spectrometry system.

作者信息

Gu Ming, Wang Yongdong, Zhao Xian-Guo, Gu Zhe-Ming

机构信息

Cerno Bioscience, 11 Deerpark Drive, Monmouth Junction, NJ 08852, USA.

出版信息

Rapid Commun Mass Spectrom. 2006;20(5):764-70. doi: 10.1002/rcm.2377.

Abstract

Acceleration of liquid chromatography/mass spectrometric (LC/MS) analysis for metabolite identification critically relies on effective data processing since the rate of data acquisition is much faster than the rate of data mining. The rapid and accurate identification of metabolite peaks from complex LC/MS data is a key component to speeding up the process. Current approaches routinely use selected ion chromatograms that can suffer severely from matrix effects. This paper describes a new method to automatically extract and filter metabolite-related information from LC/MS data obtained at unit mass resolution in the presence of complex biological matrices. This approach is illustrated by LC/MS analysis of the metabolites of verapamil from a rat microsome incubation spiked with biological matrix (bile). MS data were acquired in profile mode on a unit mass resolution triple-quadrupole instrument, externally calibrated using a unique procedure that corrects for both mass axis and mass spectral peak shape to facilitate metabolite identification with high mass accuracy. Through the double-filtering effects of accurate mass and isotope profile, conventional extracted ion chromatograms corresponding to the parent drug (verapamil at m/z 455), demethylated verapamil (m/z 441), and dealkylated verapamil (m/z 291), that contained substantial false-positive peaks, were simplified into chromatograms that are substantially free from matrix interferences. These filtered chromatograms approach what would have been obtained by using a radioactivity detector to detect radio-labeled metabolites of interest.

摘要

液相色谱/质谱联用(LC/MS)分析中代谢物鉴定的加速严重依赖于有效的数据处理,因为数据采集速率远快于数据挖掘速率。从复杂的LC/MS数据中快速准确地识别代谢物峰是加速该过程的关键组成部分。当前方法通常使用选择性离子色谱图,其可能会受到严重的基质效应影响。本文描述了一种新方法,可在存在复杂生物基质的情况下,从单位质量分辨率下获得的LC/MS数据中自动提取和过滤与代谢物相关的信息。通过对添加了生物基质(胆汁)的大鼠微粒体孵育物中维拉帕米代谢物的LC/MS分析来说明该方法。在单位质量分辨率的三重四极杆仪器上以全扫描模式采集MS数据,使用一种独特的程序进行外部校准,该程序可校正质量轴和质谱峰形状,以促进高精度质量的代谢物鉴定。通过精确质量和同位素分布的双重过滤作用,将对应于母体药物(m/z 455的维拉帕米)、去甲基化维拉帕米(m/z 441)和去烷基化维拉帕米(m/z 291)的传统提取离子色谱图(其中包含大量假阳性峰)简化为基本无基质干扰的色谱图。这些过滤后的色谱图接近使用放射性探测器检测感兴趣的放射性标记代谢物所获得的结果。

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