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能否使用气相色谱燃烧同位素比质谱法来定量有机化合物的丰度?

Can gas chromatography combustion isotope ratio mass spectrometry be used to quantify organic compound abundance?

机构信息

The James Hutton Institute, Craigiebuckler, Aberdeen, UK.

出版信息

Rapid Commun Mass Spectrom. 2011 Sep 15;25(17):2433-8. doi: 10.1002/rcm.5148.

Abstract

Quantifying the concentrations of organics such as phospholipid fatty acids (PLFAs) and n-alkanes and measuring their corresponding (13)C/(12)C isotope ratios often involves two separate analyses; (1) quantification by gas chromatography flame ionisation detection (GC-FID) or gas chromatography/mass spectrometry (GC/MS), and (2) (13) C-isotope abundance analysis by gas chromatography/combustion/isotope ratio mass spectrometry (GC-C-IRMS). This requirement for two separate analyses has obvious disadvantages in terms of cost and time. However, there is a history of using the data output of isotope ratio mass spectrometers to quantify various components; including the N and C concentrations of solid materials and CO(2) concentrations in gaseous samples. Here we explore the possibility of quantifying n-alkanes extracted from sheeps' faeces and fatty acid methyl esters (FAMEs) derivatised from PLFAs extracted from grassland soil, using GC-C-IRMS. The results were compared with those from GC-FID analysis of the same extracts. For GC-C-IRMS the combined area of the masses for all the ions (m/z 44, 45 and 46) was collected, referred to as 'area all', while for the GC-FID analysis the peak area data were collected. Following normalisation to a common value for added internal standards, the GC-C-IRMS 'area all' values and the GC-FID peak area data were directly compared. Strong linear relationships were found for both n-alkanes and FAMEs. For the n-alkanes the relationships were 1:1 while, for the FAMEs, GC-C-IRMS overestimated the areas relative to the GC-FID results. However, with suitable reference material 1:1 relationships were established. The output of a GC-C-IRMS system can form the basis for the quantification of certain organics including FAMEs and n-alkanes.

摘要

定量分析磷脂脂肪酸 (PLFA) 和正烷烃等有机物的浓度,并测量其相应的 (13)C/(12)C 同位素比值,通常需要进行两项独立的分析:(1) 通过气相色谱火焰离子化检测 (GC-FID) 或气相色谱/质谱联用 (GC/MS) 进行定量分析,(2) 通过气相色谱/燃烧/同位素比质谱联用 (GC-C-IRMS) 进行 (13)C 同位素丰度分析。这种需要进行两项独立分析的方法在成本和时间方面存在明显的缺点。然而,利用同位素质谱仪的数据输出来定量各种成分,包括固体材料的 N 和 C 浓度以及气态样品中的 CO2 浓度,这种做法由来已久。在这里,我们探索了利用 GC-C-IRMS 定量分析从草原土壤中提取的 PLFA 衍生的脂肪酸甲酯 (FAME) 和从绵羊粪便中提取的正烷烃的可能性。将结果与相同提取物的 GC-FID 分析结果进行比较。对于 GC-C-IRMS,收集所有离子(m/z 44、45 和 46)的总离子峰面积,称为“总面积”(area all),而对于 GC-FID 分析,则收集峰面积数据。在归一化到添加的内标物的共同值后,直接比较 GC-C-IRMS 的“总面积”(area all) 值和 GC-FID 的峰面积数据。正烷烃和 FAME 均呈现出很强的线性关系。对于正烷烃,两者呈 1:1 的关系,而对于 FAME,GC-C-IRMS 的面积相对 GC-FID 的结果被高估。然而,通过适当的参考物质,建立了 1:1 的关系。GC-C-IRMS 系统的输出可以为 FAME 和正烷烃等某些有机物的定量分析提供基础。

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