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Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

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Integrated optical sensor platform for multiparameter bio-chemical analysis.

Peter Lützow¹, Daniel Pergande, Helmut Heidrich

¹Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin, Germany. peter.luetzow@hhi.fraunhofer.de

|July 13, 2011

Summary

This study introduces a novel sensor platform using frequency-modulated microring resonators (MRR) for multiplexed analysis. The system reliably tracks individual sensor responses, even with overlapping signals, enabling robust multiparameter sensing.

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Area of Science:

Integrated optics
Optical sensing technologies
Photonics for diagnostics

Background:

Increasing demand for low-cost, reliable multiparameter sensor systems across various applications.
Need for advanced sensor platforms capable of handling complex analytical tasks.
Limitations of current sensor technologies in achieving high multiplexing and reliability.

Purpose of the Study:

To present a novel sensor platform for massively multiplexed sensor arrays.
To demonstrate the feasibility of tracking individual microring resonator responses.
To validate a new approach for robust, low-cost multiparameter analysis.

Main Methods:

Utilizing arrays of frequency-modulated integrated optical microring resonators (MRR).
Employing a single bus waveguide to feed multiple MRRs.
Implementing lock-in detection for filtering individual sensor responses.
Experimental validation using an array of four thermo-optically modulated MRR.

Main Results:

Successful tracking of individual MRR resonances demonstrated.
Effective filtering of individual responses despite spectral overlap.
Proof of concept for a massively multiplexed sensor array system.
Robust and reliable performance of the proposed sensor platform.

Conclusions:

The developed sensor platform enables reliable, massively multiplexed sensing.
The technique allows for individual resonance tracking even with spectral overlap.
This approach offers a promising solution for low-cost, easy-to-use multiparameter sensor systems.