Considerations for the automated collection of thermodynamic data in gas chromatography
作者： Teague M. McGinitie , James J. Harynuk
关键词:
摘要: Thermodynamic modeling of retention times in gas chromatography depends on the accurate estimation thermodynamic parameters. Previous research has used manual injections samples with coinjection a dead time marker to obtain measurements factor analytes. Ideally this process would be automated. Herein an approach is presented by which parameters can estimated both autonomously and accurately. This method also allows for consistent regardless factors such as data system delays nature void employed. Ignoring these lead significant errors prediction when using models.
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