DICP OpenIR
A novel approach to transforming a non-targeted metabolic profiling method to a pseudo-targeted method using the retention time locking gas chromatography/mass spectrometry-selected ions monitoring
Li, Yong1; Ruan, Qiang2; Li, Yanli1; Ye, Guozhu1; Lu, Xin1; Lin, Xiaohui2; Xu, Guowang1
关键词Retention Time Locking Gas Chromatography/mass Spectrometry Metabolic Profiling Full Scan Selected Ion Monitoring
刊名JOURNAL OF CHROMATOGRAPHY A
2012-09-14
DOI10.1016/j.chroma.2012.01.076
1255页:228-236
收录类别SCI
文章类型Article
WOS标题词Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences
类目[WOS]Biochemical Research Methods ; Chemistry, Analytical
研究领域[WOS]Biochemistry & Molecular Biology ; Chemistry
关键词[WOS]FLIGHT MASS-SPECTROMETRY ; PESTICIDE-RESIDUE ANALYSIS ; BIOMARKER DISCOVERY ; GC-MS ; SCAN ; FOOD ; QUANTIFICATION ; IDENTIFICATION ; ADVANTAGES ; GENOMICS
英文摘要Non-targeted metabolic profiling is the most widely used method for metabolomics. In this paper, a novel approach was established to transform a non-targeted metabolic profiling method to a pseudo-targeted method using the retention time locking gas chromatography/mass spectrometry-selected ion monitoring (RTL-GC/MS-SIM). To achieve this transformation, an algorithm based on the automated mass spectral deconvolution and identification system (AMDIS), GC/MS raw data and a bi-Gaussian chromatographic peak model was developed. The established GC/MS-SIM method was compared with GC/MS-full scan (the total ion current and extracted ion current, TIC and EIC) methods, it was found that for a typical tobacco leaf extract, 93% components had their relative standard deviations (RSDs) of relative peak areas less than 20% by the SIM method, while 88% by the EIC method and 81% by the TIC method. 47.3% components had their linear correlation coefficient higher than 0.99, compared with 5.0% by the EIC and 6.2% by TIC methods. Multivariate analysis showed the pooled quality control samples clustered more tightly using the developed method than using GC/MS-full scan methods, indicating a better data quality. With the analysis of the variance of the tobacco samples from three different planting regions, 167 differential components (p < 0.05) were screened out using the RTL-GC/MS-SIM method, but 151 and 131 by the EIC and TIC methods, respectively. The results show that the developed method not only has a higher sensitivity, better linearity and data quality, but also does not need complicated peak alignment among different samples. It is especially suitable for the screening of differential components in the metabolic profiling investigation. (C) 2012 Elsevier B.V. All rights reserved.
语种英语
WOS记录号WOS:000308524600023
引用统计
被引频次:33[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://cas-ir.dicp.ac.cn/handle/321008/142964
专题中国科学院大连化学物理研究所
作者单位1.Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
2.Dalian Univ Technol, Sch Comp Sci & Technol, Dept Comp Sci &Engn, Dalian 116024, Peoples R China
推荐引用方式
GB/T 7714
Li, Yong,Ruan, Qiang,Li, Yanli,et al. A novel approach to transforming a non-targeted metabolic profiling method to a pseudo-targeted method using the retention time locking gas chromatography/mass spectrometry-selected ions monitoring[J]. JOURNAL OF CHROMATOGRAPHY A,2012,1255:228-236.
APA Li, Yong.,Ruan, Qiang.,Li, Yanli.,Ye, Guozhu.,Lu, Xin.,...&Xu, Guowang.(2012).A novel approach to transforming a non-targeted metabolic profiling method to a pseudo-targeted method using the retention time locking gas chromatography/mass spectrometry-selected ions monitoring.JOURNAL OF CHROMATOGRAPHY A,1255,228-236.
MLA Li, Yong,et al."A novel approach to transforming a non-targeted metabolic profiling method to a pseudo-targeted method using the retention time locking gas chromatography/mass spectrometry-selected ions monitoring".JOURNAL OF CHROMATOGRAPHY A 1255(2012):228-236.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Yong]的文章
[Ruan, Qiang]的文章
[Li, Yanli]的文章
百度学术
百度学术中相似的文章
[Li, Yong]的文章
[Ruan, Qiang]的文章
[Li, Yanli]的文章
必应学术
必应学术中相似的文章
[Li, Yong]的文章
[Ruan, Qiang]的文章
[Li, Yanli]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。