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分析型超临界流体色谱中 CO2-甲醇流动相保留的模拟。

Modelling of retention in analytical supercritical fluid chromatography for CO2-Methanol mobile phase.

机构信息

Department of Chemical and Process Engineering, Rzeszow University of Technology, 35-959 Rzeszow, Poland.

出版信息

J Chromatogr A. 2013 Aug 30;1305:285-92. doi: 10.1016/j.chroma.2013.06.069. Epub 2013 Jul 1.

DOI:10.1016/j.chroma.2013.06.069
PMID:23891374
Abstract

Mathematical modelling of the chromatography process requires knowledge of the isotherm model. Therefore a necessary step in calculations is estimation of the isotherm model parameters. In this study the inverse method has been successfully used to estimate the linear isotherm model parameters in supercritical fluid chromatography (SFC). Estimation was based on measured retention times of experimental band profiles. The solute was n-octadecylbenzene. The mobile phase was carbon dioxide-methanol, 95/5% (v/v), and the column was 250mm×4.6mm i.d. packed with 5-micron Luna C18(2) particles. The experiments were done for outlet pressures from 100bar to 150bar at different flow rates and different sets of experimental conditions: (1) column operated under convective air (CA); (2) column operated in still air conditions. Moreover in the latter thermal mode were considered two cases. In the first case the temperature of the oven air was different from the inlet temperature of the mobile phase. In the second case the temperature of the oven air was the same as inlet temperature of the mobile phase. The column efficiency was also analysed.

摘要

色谱过程的数学建模需要了解等温模型。因此,计算的必要步骤是估计等温模型参数。在这项研究中,反演方法已成功用于估计超临界流体色谱(SFC)中的线性等温模型参数。估计是基于实验带轮廓的测量保留时间。溶质为正十八烷基苯。流动相为二氧化碳-甲醇,95/5%(v/v),柱为 250mm×4.6mm id,填充 5 微米 Luna C18(2)颗粒。实验在不同流速和不同实验条件下进行,出口压力从 100 巴到 150 巴:(1)在对流空气(CA)下操作的柱;(2)在静止空气条件下操作的柱。此外,在后一种热模式下考虑了两种情况。在第一种情况下,烤箱空气的温度与流动相的入口温度不同。在第二种情况下,烤箱空气的温度与流动相的入口温度相同。还分析了柱效率。

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引用本文的文献

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A Retention-Matching Strategy for Method Transfer in Supercritical Fluid Chromatography: Introducing the Isomolar Plot Approach.保留匹配策略在超临界流体色谱中的方法转移:引入等摩尔图法。
Anal Chem. 2021 Apr 27;93(16):6385-6393. doi: 10.1021/acs.analchem.0c05142. Epub 2021 Apr 12.