Jayasinghe Nirupama Samanmalie, Mendis Himasha, Roessner Ute, Dias Daniel Anthony
Metabolomics Australia, School of BioSciences, The University of Melbourne, Parkville, VIC, Australia.
Racing Analytical Services Ltd., Flemington, VIC, Australia.
Methods Mol Biol. 2018;1778:207-223. doi: 10.1007/978-1-4939-7819-9_15.
Gas chromatography coupled with triple quadrupole mass spectrometry (GC-QqQ-MS) can be used to accurately quantify endogenous small molecules extracted from biological samples such as plants and human fluids including sera and urine. In order to quantify primary metabolites typically from central carbon metabolism such as sugars from glycolysis and the pentose phosphate pathway; and organic acids involved in the tricarboxylic acid (TCA) cycle; polar endogenous metabolites must be extracted from the samples of interest, chemically derivatized and quantified against a linear calibration curve to a corresponding authentic standard. This chapter describes how to quantify a combination of 48 primary metabolites belonging to classes of sugars, sugar alcohols, sugar acids, sugar phosphates, and organic acids using a robust, optimized, multiple reaction monitoring (MRM)-based GC-QqQ-MS method.
气相色谱联用三重四极杆质谱法(GC-QqQ-MS)可用于准确量化从生物样品(如植物以及包括血清和尿液在内的人体体液)中提取的内源性小分子。为了量化通常来自中心碳代谢的初级代谢物,例如糖酵解和磷酸戊糖途径中的糖类,以及三羧酸(TCA)循环中涉及的有机酸,必须从感兴趣的样品中提取极性内源性代谢物,进行化学衍生化,并根据针对相应真实标准品的线性校准曲线进行定量。本章介绍了如何使用基于多反应监测(MRM)的稳健、优化的GC-QqQ-MS方法来量化属于糖类、糖醇类、糖酸类、糖磷酸盐类和有机酸类的48种初级代谢物的组合。