<p>The rising demand for decentralised, continuous health monitoring necessitates low-power, label-free sensor technologies. Holographic sensors (namely holosensors), which exploit periodic optical gratings to generate measurable colour shifts in response to analyte-induced swelling, offer a promising platform for label-free detection. However, their adoption remains constrained by the complexity and power consumption of existing optical readout systems. Here, we present a compact, multispectral photodiode-based system integrated with a Bragg-based hydrogel sensor for quantitative colorimetric analysis based on differential analysis of the signals to improve resolution and robustness of the signals of the Bragg reflection peak, a signature of hydrogel structural change, validated against spectrometer reference data. Using ethanol as a model analyte and optimizing the optical configuration of the sensor alignment, we demonstrate sub-1% resolution in concentration-dependent colour shifts, robust reversibility, and power consumption compatible with battery operated devices. While this proof-of-concept does not yet address biological analytes, it establishes a scalable architecture for future label-free biosensing in wearable formats.</p>

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Multispectral readout of Bragg diffraction in hydrogel sensors using a compact photodiode platform

  • Thomas Guenther,
  • Manohar Nayak,
  • Hamza Benchekroun,
  • Benedikt Neth,
  • Anastasia Thiessen,
  • Rebecca Vornweg,
  • André Zimmermann,
  • Gita Khalili Moghaddam

摘要

The rising demand for decentralised, continuous health monitoring necessitates low-power, label-free sensor technologies. Holographic sensors (namely holosensors), which exploit periodic optical gratings to generate measurable colour shifts in response to analyte-induced swelling, offer a promising platform for label-free detection. However, their adoption remains constrained by the complexity and power consumption of existing optical readout systems. Here, we present a compact, multispectral photodiode-based system integrated with a Bragg-based hydrogel sensor for quantitative colorimetric analysis based on differential analysis of the signals to improve resolution and robustness of the signals of the Bragg reflection peak, a signature of hydrogel structural change, validated against spectrometer reference data. Using ethanol as a model analyte and optimizing the optical configuration of the sensor alignment, we demonstrate sub-1% resolution in concentration-dependent colour shifts, robust reversibility, and power consumption compatible with battery operated devices. While this proof-of-concept does not yet address biological analytes, it establishes a scalable architecture for future label-free biosensing in wearable formats.