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低温调制全二维气相色谱法中烃类保留时间预测:方法开发及转化应用。

Retention time prediction of hydrocarbons in cryogenically modulated comprehensive two-dimensional gas chromatography: A method development and translation application.

机构信息

Department of Chemistry, The Pennsylvania State University, 104 Chemistry Building, University Park, PA 16802, United States.

Department of Biochemistry, Microbiology and Molecular Biology, The Pennsylvania State University, 107 Althouse Lab, University Park, PA 16802, United States.

出版信息

J Chromatogr A. 2020 Feb 8;1612:460696. doi: 10.1016/j.chroma.2019.460696. Epub 2019 Nov 9.

Abstract

Thermodynamic modeling of GC × GC separations provides a tool for rapid method evaluation and optimization. Separations of 95 hydrocarbons on two cryogenically modulated GC × GC systems (atmospheric outlet and vacuum outlet) are modeled, displaying average second dimension retention time modeling absolute errors of 0.17 s and 0.12 s respectively, and generating modeled chromatograms which sufficiently represent experimental data. A web-based GC × GC modeling routine is presented which allows users to model separations, currently focused on hydrocarbons, with full control over all system parameters. The method translation capabilities of the application are further demonstrated by replicating Piotrowski et al.'s GC × GC-HRT temporal distribution plots of hydraulic fracturing flowback fluid hydrocarbons [28].

摘要

GC×GC 分离的热力学建模为快速方法评估和优化提供了工具。对两种低温调制 GC×GC 系统(大气出口和真空出口)上的 95 种烃类的分离进行了建模,分别显示出第二维保留时间模型的平均绝对误差为 0.17s 和 0.12s,并且生成的模型色谱图充分代表了实验数据。提出了一种基于网络的 GC×GC 建模例程,允许用户对分离进行建模,目前专注于烃类,对所有系统参数具有完全控制。该应用程序的方法转换能力还通过复制 Piotrowski 等人的 GC×GC-HRT 水力压裂返排液烃类的时间分布图[28]得到了进一步证明。

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