Digital microfluidic system for portable endotoxin detection

Technology
Conceptual
University

A portable endotoxin analyzer using digital microfluidics (DMF) to automate the Limulus amoebocyte lysate (LAL) assay. Disposable cartridges (CoGs under $2) interface with a portable instrument (CoGs under $3,000), enabling untrained end-users to detect endotoxins with sensitivity targeted at 0.03 EU/mL. Designed for point-of-use and continuous autonomous operation in clinical and dialysis settings.

Overview

This solution is a portable endotoxin analyzer built on digital microfluidics (DMF) technology, a method that manipulates tiny droplets on arrays of electrodes to perform automated biochemical assays. The system is designed to detect endotoxins, which are fever-inducing byproducts of bacterial contamination that pose serious risks in pharmaceutical manufacturing, water safety, and clinical care (such as dialysis treatment). The platform comprises low-cost disposable cartridges and a compact portable instrument, making it accessible for point-of-use testing without requiring trained operators.

The core value proposition is the combination of clinical-grade sensitivity with consumer-grade simplicity. By integrating dried reagents that are hydrated on demand and an intuitive user interface similar to a pregnancy test, the system eliminates the need for specialized laboratory expertise while delivering reliable quantitative results.

Technical specifications

Key features:

  • Digital microfluidic cartridge with cost of goods under $2 per unit, enabling affordable single-use testing
  • Portable instrument with cost of goods under $3,000, suitable for deployment in clinical and field settings
  • Droplet-mediated Limulus amoebocyte lysate (LAL) assay using one-microliter droplets mixed within the cartridge
  • Custom image-analysis algorithm that observes state changes to determine positive samples and quantify endotoxin levels
  • Dried and stored reagents that are hydrated upon demand, simplifying operation and extending shelf life
  • Time-based detection capable of differentiating between 0.1, 1, and 10.0 EU/mL endotoxin concentrations
  • Current analytical sensitivity of 0.25 EU/mL, with a project target of 0.03 EU/mL
  • Designed for continuous, autonomous operation, potentially enabling real-time sampling from dialysis lines or other clinical streams
Technology readiness level

The technology has completed proof-of-concept validation, demonstrating reproducible detection of positive endotoxin samples at 0.25 EU/mL sensitivity. The research team has outlined five development aims for a one-year collaborative project: translating the assay into an inexpensive cartridge format, integrating dried reagents with shelf-life validation, improving analytical sensitivity to 0.03 EU/mL, conducting blinded head-to-head testing against the gold-standard LAL method to establish clinical sensitivity and specificity, and developing autonomous continuous-sensing capabilities for point-of-use deployment. The system is currently at an early-to-mid stage of development, with active work focused on miniaturization, sensitivity enhancement, and clinical validation.


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.

Halo home
Partner smarter. Move faster.
Get new partnering requests
delivered to your inbox.