MUNASET
Multiparametric nanoelectronic biosensors for therapy response testing
Alexey Tarasov
Project Coordinator
Kaiserslautern University of Applied Sciences
The aim of the MUNASET project is to develop graphene-based devices to help doctors monitor the therapy of patients with depression and other psychiatric disorders. The envisioned test is fast, easy-to-use, only requires blood samples and can be used at the point of care to develop personalised therapies. It can greatly improve the treatment outcomes for psychiatric diseases.”
Project Coordinator
MUNASET is developing a rapid, highly sensitive graphene-based biosensor platform to address therapy response prediction and allow faster and more precise treatment identification, with the goal to improve therapy outcomes and reduce hospitalisation time. MUNASET aims to help secure Europe’s industrial leadership over the entire value chain of novel graphene-based bio-analytical tools.
Our goal is a next-generation biosensor platform technology that combines several existing technologies into a unique biosensor device that can potentially revolutionise the way that biochemical reactions and physiological interactions are studied. If successful, we expect that the resulting platform technology will significantly advance biomedical research and permit the development of novel point-of-care diagnostic and drug screening tools that can provide a competitive advantage for the healthcare and wellbeing sector in the European Union.
By using 2D graphene, we plan to demonstrate the following advantages compared to conventional tools:
- Improved biosensing performance; including low detection limits, low drift, high chemical stability and biocompatibility to allow sensitive and selective biomarker detection in real time.
- Versatile surface chemistry via pi stacking of linker molecules on graphene to attach capture peptides for different analytes and detection principles on the same device.
- Novel sensing mechanism based on specific charge removal by proteases to ensure clear signals and high reproducibility.
- Integrated CMOS readout to enable robust multi-analyte measurements with built-in calibration, averaging and measurement readout.
Progress in 2025
The most significant achievement in 2025 has been the experimental demonstration of the sensing principle underlying the detection of protease biomarkers. These results have been published in Biosensors and Bioelectronics. We have developed a highly sensitive plasmonic, peptide-based biosensor for detecting a protease biomarker (MMP-9). The sensor outperforms state‑of‑the‑art methods, providing faster detection, enhanced sensitivity, and additional information on binding kinetics, surface coverage, and molecular layer thickness.
Quantitative detection of MMP-9 is typically performed using bioanalytical detection kits such as enzyme-linked immunosorbent assay (ELISA), which are time‑consuming and do not allow real‑time, label‑free monitoring. To overcome these limitations, we employed multi‑parametric surface plasmon resonance spectroscopy (MP‑SPR) with immobilized short synthetic peptides as MMP‑9 substrates. This represents the first MP‑SPR biosensor based on short peptides for monitoring MMP‑9 activity, enabling rapid detection within minutes and providing real‑time information on binding kinetics, surface coverage, and peptide layer thickness.
Graphene has emerged as a highly promising material for enhancing plasmonic sensor performance. Our work, featured on the front cover of Advanced Healthcare Materials, demonstrated that integrating a single graphene layer with SPR interfaces can increase sensor signals by up to ~600%, greatly improving sensitivity for biomolecular interactions. This establishes graphene-enhanced SPR as a powerful platform for next-generation optical biosensors.
In parallel, graphene-based field-effect transistors (gFETs) offer a compact, scalable, and cost-effective alternative to conventional plasmonic sensors. We have published a direct comparison of gFET and SPR biosensors in Advanced Science, demonstrating that gFETs can achieve performance comparable to SPR while enabling smaller, cheaper, and more easily integrable devices suitable for point-of-care applications.
Building on these advances, our broader research efforts address biomarkers relevant to major depressive disorder (MDD) and other complex diseases. To contextualize these developments and outline future directions, we have published a Perspective article in 2D Materials, discussing recent progress, challenges, and opportunities in graphene-based biosensors for mental health diagnostics.
Latest news
Graphene in Sensors - the technology behind tomorrow's intelligence
MUNASET Publication: Graphene-Enhanced Plasmonic Interfaces
A General Strategy for Highly Sensitive Detection of Biomolecular Interactions
MUNASET Publication: Emergence of graphene-based biosensors for depression treatment
Recent research on various biomarkers for major depressive disorder (MDD) provide an opportunity to develop biosensors that can overcome the challenges faced by conventional diagnostic tools, MUNASET researchers say.
2D-BioPAD and MUNASET at Graphene Week 2025: Showcasing Graphene-Based Biomedical Innovation
2D-BioPAD and MUNASET at Graphene Week 2025: Showcasing Graphene-Based Biomedical Innovation
MUNASET publishes a perspective piece on graphene-based biosensors and their use in the prediction of depression
Emergence of graphene-based biosensors for improved treatment response prediction in major depressive disorder: a perspective.
Enabling EU-funded project collaboration for brain health R&I
Enabling EU-funded project collaboration for brain health R&I
FROM OUR EXPERTS
"This workshop provides the groundwork for developing synergies between similar activities, driving innovation and accelerating progress towards application of 2D materials in biomedical and other applications” (on Graphene Week workshop collaboration).
Dr. Aristeidis Bakandritsos, Group Leader, Czech Advanced Technology and Research Institute (CATRIN) at Palacký University, coordinator of the 2D-BioPAD project and co-chair of the Graphene Week 2024