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

(2019) TALANTA. 198. p.573-584
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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.
Keywords
Dynamic sampling, Experimental conditions, Recovery, Initial concentration, Criterion, Excel*, SOLID-PHASE MICROEXTRACTION, HENRYS LAW CONSTANT, VOLATILE ORGANIC-COMPOUNDS, TUBE MASS-SPECTROMETRY, GAS-CHROMATOGRAPHY, SIFT-MS, TEMPERATURE-DEPENDENCE, SAMPLE PREPARATION, QUALITY-CONTROL, WATER

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MLA
Heynderickx, Philippe. “Dynamic Headspace Analysis Using Online Measurements : Modeling of Average and Initial Concentration.” TALANTA 198 (2019): 573–584. Print.
APA
Heynderickx, Philippe. (2019). Dynamic headspace analysis using online measurements : modeling of average and initial concentration. TALANTA, 198, 573–584.
Chicago author-date
Heynderickx, Philippe. 2019. “Dynamic Headspace Analysis Using Online Measurements : Modeling of Average and Initial Concentration.” Talanta 198: 573–584.
Chicago author-date (all authors)
Heynderickx, Philippe. 2019. “Dynamic Headspace Analysis Using Online Measurements : Modeling of Average and Initial Concentration.” Talanta 198: 573–584.
Vancouver
1.
Heynderickx P. Dynamic headspace analysis using online measurements : modeling of average and initial concentration. TALANTA. 2019;198:573–84.
IEEE
[1]
P. Heynderickx, “Dynamic headspace analysis using online measurements : modeling of average and initial concentration,” TALANTA, vol. 198, pp. 573–584, 2019.
@article{8608163,
  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.},
  author       = {Heynderickx, Philippe},
  issn         = {0039-9140},
  journal      = {TALANTA},
  keywords     = {Dynamic sampling,Experimental conditions,Recovery,Initial concentration,Criterion,Excel*,SOLID-PHASE MICROEXTRACTION,HENRYS LAW CONSTANT,VOLATILE ORGANIC-COMPOUNDS,TUBE MASS-SPECTROMETRY,GAS-CHROMATOGRAPHY,SIFT-MS,TEMPERATURE-DEPENDENCE,SAMPLE PREPARATION,QUALITY-CONTROL,WATER},
  language     = {eng},
  pages        = {573--584},
  title        = {Dynamic headspace analysis using online measurements : modeling of average and initial concentration},
  url          = {http://dx.doi.org/10.1016/j.talanta.2019.02.038},
  volume       = {198},
  year         = {2019},
}

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