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多元法在线超临界流体萃取-超临界流体色谱-质谱联用方法的建立。

Multivariate approach to on-line supercritical fluid extraction - supercritical fluid chromatography - mass spectrometry method development.

机构信息

Department of Chemistry & Biochemistry, The University of Texas at Arlington, 700 Planetarium Place, Arlington, TX, 76019, USA.

Shimadzu Corporation, 1,Nishinokyo Kuwabara-cho, Nakagyo-ku, Kyoto, 604-8511, Japan.

出版信息

Anal Chim Acta. 2020 Aug 29;1127:282-294. doi: 10.1016/j.aca.2020.04.068. Epub 2020 Jul 2.

Abstract

Coupling supercritical fluid extraction (SFE) on-line with supercritical fluid chromatography (SFC) - tandem mass spectrometry (MS/MS) provides a single platform for efficient extraction, separation, and detection in a chemical analysis. SFE-SFC-MS/MS requires consideration of many extraction and chromatographic variables to not only provide the most efficient extraction, but also to analytically transfer the extracted analytes to the column for separation. There is a fundamental lack of understanding of how the variables in SFE affect those in SFC. Typically, a univariate approach is taken in on-line SFE-SFC-MS/MS method development, but this provides little insight into the relative importance of variables and their potential interactions. Here, a multivariate approach was used to develop a better understanding of the synergistic relationship between the extraction and separation processes by focusing on the optimization of extraction parameters for target analytes with a wide range of physicochemical properties in matrices of variable retentivity. The methodology used a set of optimal on-line SFE-SFC-MS/MS extraction parameters for 18 analytes of variable physicochemical properties in three different silica gel-based sample matrices are presented.

摘要

将超临界流体萃取(SFE)与超临界流体色谱(SFC)-串联质谱(MS/MS)在线联用,为化学分析中的高效提取、分离和检测提供了一个单一平台。SFE-SFC-MS/MS 需要考虑许多提取和色谱变量,不仅要提供最有效的提取,还要将提取的分析物分析转移到色谱柱进行分离。对于 SFE 中的变量如何影响 SFC 中的变量,人们对此基本缺乏了解。通常,在线 SFE-SFC-MS/MS 方法开发中采用单变量方法,但这几乎无法深入了解变量的相对重要性及其潜在相互作用。在这里,采用多变量方法通过关注优化具有广泛物理化学性质的目标分析物在保留性不同的基质中的提取参数,来更好地理解提取和分离过程之间的协同关系。所采用的方法针对三种不同硅胶基质中的 18 种具有不同物理化学性质的分析物,使用了一组最佳的在线 SFE-SFC-MS/MS 提取参数。

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