AI and robotics for scalable probiotic beverage formulation

Technology
Conceptual
University

Combining emulsification membranes with AI-driven automated experimentation, this solution enables efficient, scalable probiotic beverage formulations while maintaining organoleptic properties. It leverages ML to optimize formulation design and encapsulation performance.

Overview

This innovative solution leverages artificial intelligence and robotics to create scalable probiotic beverage formulations. By combining emulsification membranes (EM) with machine learning (ML)-powered automated experimentation, the approach efficiently designs formulations that maintain the stability and viability of probiotics without compromising organoleptic qualities. This method uses generally regarded as safe ingredients and is scalable, employing technology already utilized in industrial foodstuffs.

Technical specifications

Key features:

  • Emulsification Membranes (EM): Ensures the viability of probiotics by encapsulating them gently, avoiding large interfacial shear.
  • Machine Learning and Automation: Reduces the number of experiments needed to identify optimal formulations, using high throughput experimentation and model interpretation tools.
  • Data-driven Optimization: Employs AI-assisted literature review and data collection to bootstrap ML methods, followed by Bayesian Optimization for parameter screening.
  • Scalability: Utilizes industrially proven technology for potential commercial application in food and beverage industries.
Technology readiness level

This technology is currently at TRL 3, indicating that it has been experimentally demonstrated and is in the early stages of development. Future validation includes encapsulating probiotics in submicron particles and optimizing the formulation process over the next 12 months.


About University of Toronto

The University of Toronto is a comprehensive public research university with three campuses in the Toronto region and a globally scaled research enterprise. Its downtown footprint is embedded within a major academic health network and an adjacent innovation district, enabling co-located labs, clinical trials, and rapid testing with end users. Companies connect through co-op and long-duration internships, sponsored research, and access to shared core facilities and prototyping resources. Research is supported by Canada’s Tri‑Agency (NSERC, CIHR, SSHRC) and the Canada Foundation for Innovation, alongside provincial programs and industry partnerships. A dedicated technology transfer office provides IP management, licensing, and startup support through a coordinated entrepreneurship network.

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