Shoji Kakuta, Toshiyuki Yamashita, S. Nishiumi, Masaru Yoshida, E. Fukusaki, T. Bamba
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引用次数: 3
摘要
介绍了一种高压注入的动态顶空萃取方法。这种动态萃取方法对固相微萃取,SPME具有优异的灵敏度,并且能够通过清洗瓶顶空间提取整个气相。对DHS参数的优化得到了一个高灵敏度的挥发性分析系统,该系统能够检测包括纳克级醇在内的各种挥发性成分。标准挥发性混合物的平均LOD为0.50 ng mL(-1),醇类的平均LOD为0.66 ng mL(-1)。该方法用于分析生物样品中的挥发性成分,并与急性和慢性炎症模型进行比较。该方法允许鉴定挥发物与体外氧化脂质衍生挥发物具有相同的谱图模式。此外,急性炎症模型样品中醇类和醛类的浓度明显高于慢性炎症模型样品。该方法还可以区分样品间的不同剖面。最后,它可以分析高灵敏度SPME难以分析的醇类和低分子量挥发物,并显示基于多挥发物同时分析的挥发物谱。
Multi-Component Profiling of Trace Volatiles in Blood by Gas Chromatography/Mass Spectrometry with Dynamic Headspace Extraction.
A dynamic headspace extraction method (DHS) with high-pressure injection is described. This dynamic extraction method has superior sensitivity to solid phase micro extraction, SPME and is capable of extracting the entire gas phase by purging the headspace of a vial. Optimization of the DHS parameters resulted in a highly sensitive volatile profiling system with the ability to detect various volatile components including alcohols at nanogram levels. The average LOD for a standard volatile mixture was 0.50 ng mL(-1), and the average LOD for alcohols was 0.66 ng mL(-1). This method was used for the analysis of volatile components from biological samples and compared with acute and chronic inflammation models. The method permitted the identification of volatiles with the same profile pattern as in vitro oxidized lipid-derived volatiles. In addition, the concentration of alcohols and aldehydes from the acute inflammation model samples were significantly higher than that for the chronic inflammation model samples. The different profiles between these samples could also be identified by this method. Finally, it was possible to analyze alcohols and low-molecular-weight volatiles that are difficult to analyze by SPME in high sensitivity and to show volatile profiling based on multi-volatile simultaneous analysis.