气相色谱-质谱法结合偏最小二乘-判别分析用于血清和血浆中代谢物的比较分析

发布时间：2018-04-20 05:26

本文选题：气相色谱-质谱法 + 肟化-硅烷化方法　；参考：《分析科学学报》2015年02期

【摘要】：建立了肟化-硅烷化衍生血清和血浆中代谢物的方法,结合气相色谱-质谱法,可实现有机酸、氨基酸、脂肪酸和胆固醇等多类代谢物的同时分析测定。方法学考察结果表明,该方法准确可靠,重复性、精密度和回收率良好,满足血清和血浆样本代谢物分析的要求。利用建立的方法,对40个健康人血清样本和34个健康人血浆样本中的代谢物进行对比分析。结果表明,吲哚-3-乙酸是血浆中特有的代谢物;共有的39个代谢物中,有32种在血清和血浆中的含量有显著性差异。采用偏最小二乘-判别分析(PLSDA)建立血清和血浆的判别模型,并筛选出了5种区分血清和血浆的重要代谢物,即磷酸、异亮氨酸、2,3,4-三羟基丁酸、柠檬酸和硬脂酸。研究结果为代谢组学研究中血清和血浆样本的选择提供了依据。
[Abstract]:A method for the determination of metabolites in serum and plasma derived from oximation and silane was established. Combined with gas chromatography-mass spectrometry, the simultaneous determination of organic acids, amino acids, fatty acids and cholesterol was achieved. The results of methodological investigation show that the method is accurate, reliable, reproducible, accurate and good in recovery, and meets the requirements of metabolites analysis in serum and plasma samples. The metabolites in 40 healthy people's serum samples and 34 healthy people's plasma samples were analyzed by using the established method. The results showed that indole-3-acetic acid was a unique metabolite in plasma, and 32 of the 39 metabolites had significant differences in serum and plasma levels. The discriminant model of serum and plasma was established by partial least squares discriminant analysis (PLSDAA). Five important metabolites, namely phosphoric acid, iso-leucine trihydroxybutyric acid, citric acid and stearic acid, were selected. The results provide a basis for the selection of serum and plasma samples in metabonomics.
【作者单位】：中南大学化学化工学院;
【基金】：国家自然科学基金(No.21105129)
【分类号】：R96;O657.63

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