Imagine a smart sticker that acts like a tiny lab on your skin. It uses microscopic needles to collect a drop of fluid and analyzes it instantly without needing a doctor or a big machine. You can read the exact results using a modified glucose meter, making high-tech testing as easy as checking blood sugar.
Current quantitative diagnostics require centralized laboratories, making them too slow and expensive for pandemic control. Existing point-of-care tests are often qualitative and require manual sample preparation by trained staff.
A microfluidic patch featuring hollow microneedles for self-sampling and integrated analysis, compatible with a re-purposed glucose meter for quantitative results.
If you are a diagnostic manufacturer dealing with the high cost and complexity of lab-on-chip devices — this project developed a microfluidic patch that provides quantitative results using a re-purposed glucose meter. This removes the need for expensive laboratory infrastructure and manual sample preparation.
If you are an NGO dealing with high mortality rates from Ebola and Lassa viruses in remote areas — this project developed a self-powered sampling and analysis patch. This allows for immediate, lab-quality diagnosis in regions without electricity or trained technicians.
If you are a materials company dealing with the slow production speeds of traditional microfluidics — this project developed high-throughput manufacturing processes based on novel photopolymers. This enables the roll-to-roll production of diagnostic patches at scale.
Based on available project data, specific pricing is not mentioned, but the project aims to reduce costs by using roll-to-roll manufacturing and re-purposing existing glucose meters.
Yes, the project specifically focuses on high-throughput manufacturing processes using roll-to-roll techniques and novel photopolymers to ensure scalability.
Based on available project data, there is no specific information regarding licensing terms or patent filings.
The project period runs from 2024-01-01 to 2027-12-31, suggesting a development and validation cycle over four years.
The system integrates by using a re-purposed glucose meter for readout and incorporates AI-based models and socio-economic analysis for effective field implementation.
The consortium is heavily weighted toward research and academia, with 4 universities and 4 research institutes. However, it maintains a practical edge with 2 industry partners (including 2 SMEs) and 1 NGO, ensuring that the 11 partners across 6 countries cover the entire value chain from polymer science to field implementation in high-risk zones.
Contact the Katholieke Universiteit Leuven research office regarding the DECIPHER project.
Contact SciTransfer for detailed partnership matchmaking with the DECIPHER consortium.
