Built for Protein Science
ProteinProcessIO is a comprehensive simulation platform for protein processing operations, developed at McGill University in collaboration with the National Research Council Canada.
Our Mission
To accelerate innovation in plant protein processing by providing researchers and engineers with powerful, validated simulation tools. We believe that better process understanding leads to more efficient operations, higher quality products, and a more sustainable food system.
ProteinProcessIO enables virtual experimentation, reducing the need for costly physical trials while providing deep insights into process dynamics that would be impossible to observe in real equipment.
Our Values
The principles that guide our development and support
Accuracy
Physics-based models validated against real equipment and experimental data from NRC Canada.
Accessibility
Free for research and academic use. Empowering scientists and engineers worldwide.
Innovation
GPU-accelerated simulations pushing the boundaries of what's possible in process modeling.
Quality
Comprehensive documentation, regular updates, and responsive support for all users.
Meet the Team
Ebenezer Miezah Kwofie
Principal Investigator
Assistant Professor, Sustainable Food Systems Engineering at McGill University. Co-director, Integrated Food and Bioprocess Engineering Program.
McGill profileDerrick Allotey
PhD Student
SASEL Lab, McGill University. Worked on this project.
Anthony Iheonye
Postdoctoral Researcher
SASEL Lab, McGill University. Worked on this project.
Abrahim Sabiku
Masters Student
SASEL Lab, McGill University. Worked on this project.
University
McGill University
ProteinProcessIO was developed at McGill University, one of Canada's leading research universities. The project combines expertise in food science, process engineering, and computational modeling to create cutting-edge simulation tools for the plant protein industry.
Visit McGill UniversityCanada
National Research Council Canada
ProteinProcessIO was developed in collaboration with NRC Canada, leveraging their expertise in food processing research and access to pilot-scale equipment for model validation. This partnership ensures that our simulations are grounded in real-world data and validated against experimental results.
Visit NRC CanadaDevelopment Timeline
The journey from concept to release
Project Inception
Initial concept and requirements gathering. Partnership with NRC Canada established.
Pretreatment Module
GP-15 RF dielectric heating simulation developed and validated against experimental data.
Milling Module
Hammer mill simulation with GPU-accelerated particle physics. Breakage models calibrated.
Air Classification
Multi-stage classification system including venturi, zigzag, wheel, and cyclones.
Pipeline Integration
Orchestration mode enabling seamless data transfer between stages. Mass balance tracking.
Public Release
Version 1.0 released for research and academic use. Ongoing development continues.
Get in Touch
Have questions about ProteinProcessIO? Interested in collaboration? We'd love to hear from you.
Contact Us