Chemometric-Driven Multiplexed Quantum Dots-Based Methods for Inflammatory Biomarkers Detection in Cancer Diagnostics and Healthcare Monitoring

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Fundação para a Ciência e a Tecnologia, I.P. (FCT)
1 Jan 2026 to 31 Dec 2029

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Outside the quantum-technology scope of this portal (quantum-dot materials for light, energy or biology): the title names quantum science but no quantum technology. The record is kept for reference and left out of the default projects listing and counts.

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Project funded by Fundação para a Ciência e a Tecnologia, I.P. (FCT), grant 2025.05501.BD. Runs 2026-01-01 to 2029-12-31. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2026-07-23); national funding data, not CORDIS. Abstract given by the source: This plan proposes the development of a fluorescence-based multiplex sensor for the simultaneous detection of inflammatory cancer biomarkers in human serum. The approach combines the use of semiconductor quantum dots (QDs), perovskite QDs and carbon dots (CDs) with molecularly imprinted polymers (MIPs) to achieve high sensitivity and selective recognition. By integrating chemometric and bioinformatic tools, the sensor's performance will be optimized for rapid, low-cost, and minimally invasive point-of-care diagnostics. Tricolor-emission QDs systems and hybrid MIP-based platforms will be explored to enhance visual discrimination and analytical accuracy. The research leverages the group’s expertise in multicolor probe design and kinetic/chemometric modeling to improve detection in complex biological matrices. This innovative platform is expected to offer a robust, selective, and cost-effective solution for early cancer diagnosis and real-time monitoring in clinical and decentralized healthcare settings.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Fundação para a Ciência e a Tecnologia, I.P. (FCT). Retrieved 2026-10-28. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The project, funded by FCT, aims to develop a fluorescence-based multiplex sensor for detecting inflammatory cancer biomarkers in human serum from 2026 to 2029. It utilizes semiconductor quantum dots and molecularly imprinted polymers to enhance diagnostic accuracy. Suggested technology pillar: sensing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: explore.openaire.eu · checked 28 Oct 2026 · AI-assisted summary