一种血清代谢产物的气相色谱-质谱分析方法

Masoud Soheili, Afsaneh Arefi Oskuei, M. Tavirani, Seyyed Mojtaba Banitaba, Ghazaleh Aliakbarzadeh, M. Salami
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引用次数: 1

摘要

代谢物是细胞内自然发生的代谢反应的中间和天然低分子量产物。代谢组学是一种后基因组学研究,分析所有生物样本的代谢谱。气相色谱-质谱(GC-MS)是一种检测挥发性成分的强大技术。在这项研究中,我们用一种简单的衍生化方法来评估血清的代谢物谱。用气相色谱-质谱法分析了16只大鼠血清经乙腈沉淀后的代谢谱。然后,用一种需要较少数量和体积的材料的方法推导出它。采集色谱采用美国国家标准与技术研究所(NIST)库进行预处理和分析。根据NIST文库的光谱片段分析,我们检测到35种代谢物的完美匹配概率>60%。这项研究代表了血清的代谢组谱,而不是代谢物的变化,可以通过简单的衍生化方法来评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method of GC-MS analysis of serum metabolites
Metabolites are the intermediate and natural low molecular weight products of metabolic reactions that naturally occur within cells. Metabolomics is a post-genomics study that analyzes metabolic profile in all biological samples. Gas chromatography-mass spectrometry (GC-MS) is a powerful technique that detects volatile components. In this study we evaluate the metabolite profile of serum with a simple method for derivatization. The metabolic profile of serum taken from 16 rats was analyzed using GC-MS after protein precipitation with acetonitrile. Then, it was derivatized with a method requiring the less number and volume of materials. Acquisition chromatograms were pre-processed and analyzed using National Institute of Standards and Technology (NIST) library. We detected 35 metabolites with probability of >60% perfect match according to spectrum fragments analysis by NIST library.This study represents the metabolome profile of serum instead the change of metabolites that can be evaluated by a simple derivatization method.
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