A kinetic model of fumigant sorption by grain using batch experimental data

Area of Science:

• Agricultural Science
• Chemical Engineering
• Pest Management

Background:

• Fumigant sorption by grain varies by type, potentially reducing efficacy.
• Sublethal fumigant concentrations can hinder effective grain disinfestation.
• A predictive model for industrial fumigant sorption losses is necessary.

Purpose of the Study:

• To review grain fumigant sorption kinetics.
• To develop and validate a novel predictive model for fumigant sorption.
• To account for key factors influencing sorption in industrial settings.

Main Methods:

• Literature review of sorption kinetics.
• Development of a new model incorporating linear mass transfer, irreversible binding, and linear partitioning.
• Estimation of model coefficients using experimental data.
• Comparison with existing models like diffusion into spheres.

Main Results:

• A novel model was developed and validated against experimental data.
• The model accurately describes transient fumigant concentration changes in grain and air.
• Predictions were generated for methyl bromide and phosphine sorption.

Conclusions:

• The model effectively predicts fumigant concentrations within grain stacks.
• It is applicable to various industrial scenarios.
• This provides a tool for optimizing fumigation strategies and ensuring grain disinfestation.