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All-Inclusive Sensing Tablet with Integrated Passive Mixer for Ultraviscous Solutions.
Seyed Hamid Safiabadi Tali1, Muna Al-Kassawneh1, Maryam Mansouri1
1Department of Chemical and Materials Engineering, Gina Cody School of Engineering, Concordia University, Montréal, Québec H4B 1R6, Canada.
ACS Sensors
|May 6, 2025
Summary
We developed affordable, automixing chemo/biosensor tablets for rapid point-of-care diagnostics. These easy-to-use devices detect biomarkers like nitrite and glucose in complex samples, offering reliable results at low cost.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Materials Science
Background:
- Point-of-care (POC) diagnostics require low-cost, user-friendly devices for timely disease detection.
- Existing methods often struggle with viscous biological samples, necessitating complex mixing techniques.
Purpose of the Study:
- To develop novel, all-inclusive, tablet-based chemo/biosensors with automixing capabilities.
- To demonstrate the efficacy of these tablets in detecting biomarkers in challenging, viscous biological fluids.
Main Methods:
- Fabrication of tablet-based chemo/biosensors using powder compression, incorporating all necessary reagents.
- Development of a simple method for enzyme encapsulation in trehalose for enhanced stability.
- Demonstration of automixing capabilities in viscous solutions (up to 1700 mPa·s).
Main Results:
- Successful detection of nitrite in human saliva (0.03-1.50 mg/dL) and glucose in human urine (0.3-2.5 mM) using the automixing tablets.
- Consistent and reliable results across a range of viscosities, from low to high.
- Tablets cost less than $0.30 each and maintain stability for at least one month at room temperature.
Conclusions:
- The developed automixing tablet chemo/biosensors offer a low-cost, convenient, and effective solution for POC diagnostics.
- These devices overcome limitations associated with viscous samples, enabling reliable detection of key biomarkers.
- The technology presents a valuable advancement for accessible and efficient health monitoring.
