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二维气相色谱法和三线偏最小二乘法用于石脑油中芳烃和环烷烃含量的定量分析。

Two-dimensional gas chromatography and trilinear partial least squares for the quantitative analysis of aromatic and naphthene content in naphtha.

作者信息

Prazen B J, Johnson K J, Weber A, Synovec R E

机构信息

Center for Process Analytical Chemistry, Department of Chemistry, University of Washington, Seattle 98195-1700, USA.

出版信息

Anal Chem. 2001 Dec 1;73(23):5677-82. doi: 10.1021/ac010637g.

DOI:10.1021/ac010637g
PMID:11774907
Abstract

Quantitative analysis of naphtha samples is demonstrated using comprehensive two-dimensional gas chromatography (GC x GC) and chemometrics. This work is aimed at providing a GC system for the quantitative and qualitative analysis of complex process streams for process monitoring and control. The high-speed GC x GC analysis of naphtha is accomplished through short GC columns, high carrier gas velocities, and partial chromatographic peak resolution followed by multivariate quantitative analysis. Six min GC x GC separations are analyzed with trilinear partial least squares (tri-PLS) to predict the aromatic and naphthene (cycloalkanes) content of naphtha samples. The 6-min GC x GC separation time is over 16 times faster than a single-GC-column standard method in which a single-column separation resolves the aromatic and naphthene compounds in naphtha and predicts the aromatic and naphthene percent concentrations through addition of the resolved signals. Acceptable quantitative precision is provided by GC x GC/tri-PLS.

摘要

采用全二维气相色谱(GC×GC)和化学计量学方法对石脑油样品进行了定量分析。这项工作旨在提供一种气相色谱系统,用于对复杂工艺物流进行定量和定性分析,以实现过程监测和控制。石脑油的高速GC×GC分析通过短气相色谱柱、高载气速度以及部分色谱峰分离,随后进行多变量定量分析来完成。采用三线偏最小二乘法(tri-PLS)对6分钟的GC×GC分离结果进行分析,以预测石脑油样品中的芳烃和环烷烃(环烷)含量。6分钟的GC×GC分离时间比单柱标准方法快16倍以上,在单柱标准方法中,单柱分离可解析石脑油中的芳烃和环烷烃化合物,并通过叠加解析信号来预测芳烃和环烷烃的百分比浓度。GC×GC/tri-PLS提供了可接受的定量精度。

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