Application of the combination of isotope ratio monitoring with isotope dilution mass spectrometry to the determination of glucose in serum.
Application of the combination of isotope ratio monitoring with isotope dilution mass spectrometry to the determination of glucose in serum.
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同位素比值监测与同位素稀释质谱联用在血清葡萄糖测定中的应用
DOI：
10.1002/rcm.374
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
C. Vidal
中科院分区：
文献类型：
--
作者：
G. Dube;A. Henrion;R. Ohlendorf;C. Vidal
同位素比值监测与n(13)C/n(12)C同位素稀释质谱仪(IRM/IDMS)相结合，用于有机化学中发现的简单混合物的分析，即使在样品中只使用低(13)C尖峰添加剂，其不确定度也只有0.1%。如果将该方法应用于需要在测量前进行大规模样品制备的系统的分析，如测定血清中的葡萄糖，则获得的结果具有更高的不确定度，可与传统的气相色谱/同位素稀释质谱仪(GC/IDMS)方法相媲美。出现这种情况的原因是，IRM/IDMS方法对结果的不确定预算的小贡献叠加在由于样品制备而产生的大贡献上。因此，IRM/IDMS方法与传统的GC/IDMS方法相比似乎没有优势。然而，如果进行了一系列测量，如果选择了合适的实验设计，IRM/IDMS方法可以提供有价值的附加信息。样品制备对每个单独结果的影响可以量化为其与系列所有结果的平均值的偏差。从这些数据可以得出改进样品制备的结论。
Isotope ratio monitoring combined with n((13)C)/n((12)C) isotope dilution mass spectrometry (IRM/IDMS) provides results of low uncertainty of the order of 0.1% if it is applied to the analysis of simple mixtures as found in organic chemistry, even if only low (13)C spike additives to the sample are used. If the method is applied to the analysis of systems that require large-scale sample preparation prior to the measurement, such as the determination of glucose in serum, the results obtained exhibit a higher uncertainty that is comparable to that of the conventional gas chromatography/isotope dilution mass spectrometry (GC/IDMS) method. The reason for this observation is that the small contribution that the IRM/IDMS method makes to the uncertainty budget of the result is superimposed on a large contribution due to the sample preparation. It appears therefore that the IRM/IDMS method has no advantage over the conventional GC/IDMS method. However, if a series of measurements is carried out, and if a suitable experimental design is chosen, the IRM/IDMS method can provide valuable additional information. The influence of sample preparation on each individual result can be quantified as its deviation from the average value of all results of the series. From these data conclusions can be drawn for an improvement in sample preparation.