气相色谱-质谱结合主成分分析方法用于鼻咽癌病人血清中代谢产物的定性定量分析  

Qualitative and Quantitative Analysis of Various Metabolites in Serum Samples from NPC Patients by Using Gas Chromatography-Mass Spectrometry and Principal Component Analysis

作　　者：陈林[1] 刘永林[1] 何远桥[2] 

机构地区：[1]江西省分析测试研究所,江西南昌330029 [2]南昌大学医学院实验动物科学部,江西南昌330031

出　　处：《分析科学学报》2013年第5期685-688,共4页Journal of Analytical Science

摘　　要：建立了气相色谱-质谱(GC-MS)同时测定鼻咽癌患者和健康人血清样本中多种代谢物的方法。采用肟化-硅烷化的两步衍生方法,利用DB-5MS毛细管柱程序升温法分离血清中的多种成分。利用NIST标准质谱库和标准品对尿液中的代谢物进行定性定量分析,共鉴定出氨基酸、糖类、脂肪酸、有机酸和酯类等28种内源性代谢物质;进而使用主成分分析(PCA)模式识别方法分析健康人和病人血清中代谢产物差异。结果表明,该方法简便快捷,易于操作,且灵敏度高,能够同时检测血清中的多种组分,且在主成分分析下有明显的分类,因此可为鼻咽癌的早期诊断和发病机制研究提供新的策略。In the present study, a method was developed for determination of various endogenous metabolites in serum samples from nasopharyngeal carcinoma （NPC） patients and health controls by using chromatography-mass spectrometry（GC-MS） analysis coupled with principal component analysis. The oximation and silylation of samples were carried out before chromatographic analysis. Effective chromatographic separation for various metabolites was obtained with DB-5MS capillary column. 28 endogenous metabolites including amino acids, carbohydrates, fatty acids, organic acids and esters were identified by NIST mass spectral library and standard substances, and then PCA was employed to classify two groups of samples. The results indicated that this method was simple, sensitive and easy to operate. It is useful for simultaneous determination of various endogenous metabolites in complex serum samples, and provides useful method for early diagnosis and detection of nasopharyngeal carcinoma.

关 键 词：气相色谱-质谱 鼻咽癌 血清 代谢成分 主成分分析 

分 类 号：O657.63[理学—分析化学]