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Updated: Jun 5, 2026

Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector
Published on: July 25, 2014
Method of estimating changes in vapor concentrations continuously generated from two-component organic solvents
Hajime Hori1, Toru Ishidao, Sumiyo Ishimatsu
1Department of Environmental Management, School of Health Sciences, University of Occupational and Environmental Health, Japan.
This study presents a new model to estimate and predict vapor concentrations from two-component organic solvents. The model accurately predicts evaporation rates and concentrations, aiding in understanding solvent behavior.
Area of Science:
- Environmental Chemistry
- Physical Chemistry
- Chemical Engineering
Background:
- Understanding the evaporation dynamics of multicomponent organic solvents is crucial for various industrial and environmental applications.
- Accurate prediction of vapor concentrations is essential for process control, safety, and emission monitoring.
- Existing models may not fully capture the complex evaporation behavior of two-component systems.
Purpose of the Study:
- To develop and validate a model for estimating and predicting continuous evaporation rates and vapor concentrations of two-component organic solvent systems.
- To investigate the evaporation behavior of methanol-toluene and ethyl acetate-toluene mixtures.
- To compare model-estimated vapor concentrations with experimental data.
Main Methods:
- Continuous evaporation of two-component organic solvents (methanol-toluene, ethyl acetate-toluene) from a reservoir.
- Monitoring of generated vapor concentrations using gas chromatography with a flame ionization detector.
- Development of a predictive model based on vapor-liquid equilibria and mass transfer rate theories.
Main Results:
- Vapor concentrations of more volatile components initially decreased, while less volatile components increased over time.
- The developed model provided estimations in good agreement with experimental vapor concentration data.
- The study successfully demonstrated the predictive capability for multicomponent organic vapor evaporation.
Conclusions:
- The proposed model effectively estimates and predicts vapor concentrations during the continuous evaporation of two-component organic solvents.
- The findings contribute to a better understanding of multicomponent solvent evaporation dynamics.
- This model can be applied to optimize processes involving solvent evaporation and emission control.
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