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Dynamic headspace analysis using online measurements : modeling of average and initial concentration

Authors
  • Heynderickx, Philippe
Publication Date
Jan 01, 2019
Identifiers
DOI: 10.1016/j.talanta.2019.02.038
OAI: oai:archive.ugent.be:8608163
Source
Ghent University Institutional Archive
Keywords
Language
English
License
Unknown
External links

Abstract

Dynamic headspace sampling is an important technique for the analysis of consumer products, the study of biological samples and environmental water analyses. This paper shows the influence of experimental conditions, such as the sampling time, sampling flow rate, headspace volume, liquid volume and Henry coefficient on the measured average concentration values. A corresponding closed expression as function of these variables is introduced in order to quantify the deviation of the initial headspace concentration. The proposed bi-exponential function embeds different current existing models for recovery calculation in dynamic sampling analyses in one single expression. A fully automated and user-friendly Excel* file to investigate or to model the dynamic headspace sampling results is added to everyone's easy use.

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