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Updated: Aug 14, 2026

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Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
Published on: March 17, 2023
Strategies for Multiplexing Plasmonic Biosensing
Muhammad Umair Khan1, Jaroslav Katrlík1
1Institute of Chemistry, Slovak Academy of Sciences, Dúbravska cesta 5807/9, 845 38 Bratislava, Slovakia.
Sensors (Basel, Switzerland)
|August 13, 2026
Summary
Multiplexed plasmonic biosensing offers sensitive, label-free analysis of biomolecular interactions. Future advancements depend on standardized systems, not just sensor performance, for broader applications.
Area of Science:
- Plasmonic biosensing
- Multiplexed optical biosensing
- Nanoplasmonic biosensing
Background:
- Plasmonic biosensors provide sensitive, label-free detection of biomolecular interactions.
- Multiplexing strategies are crucial for comprehensive molecular profiling and simultaneous analysis.
- Plasmonic sensors offer advantages over other optical methods like fluorescence and interferometry.
Purpose of the Study:
- To examine multiplexing strategies in plasmonic biosensing across spatial, spectral, and temporal dimensions.
- To critically discuss current multiplexing techniques including SPR, LSPR, and SERS.
- To highlight applications and challenges in plasmonic biosensing.
Main Methods:
- Review of plasmonic biosensing techniques (SPR, LSPR, SERS).
- Analysis of multiplexing dimensions (spatial, spectral, temporal) and hybrid approaches.
- Discussion of surface biofunctionalisation, antifouling, and molecular recognition.
Main Results:
- Plasmonic biosensors are attractive for label-free, real-time interaction monitoring.
- Multiplexing strategies are being advanced through various dimensions and hybrid combinations.
- Applications span diagnostics, liquid biopsy, glycoprofiling, and environmental analysis.
Conclusions:
- The future of multiplexed plasmonic biosensing relies on robust, standardized analytical systems.
- Addressing challenges in reproducibility, standardization, and data interpretation is key for clinical translation.
- Plasmonic biosensing holds significant potential when integrated into standardized platforms.
Keywords:
artificial intelligenceenvironmental monitoringextracellular vesiclesfood safetyglycoprofilingliquid biopsylocalized surface plasmon resonancemicroarraysmicrofluidicsmultiplexed biosensingplasmonic biosensingsurface plasmon resonancesurface plasmon resonance imaging (SPRi)surface-enhanced Raman scattering
