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Hydrogels for Analyte Sensing.

Katia Cherifi1, Simon Matoori1

  • 1Faculté de Pharmacie, Université de Montréal, Montréal, Québec H3T 1J4, Canada.

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Summary

Hydrogel biosensors offer tunable, biocompatible platforms for analyte sensing. These smart materials provide real-time, quantitative diagnostics in complex biological fluids, paving the way for advanced point-of-care applications.

Keywords:
analytical chemistrybiomaterialsbiosensingdiagnosticshydrogels

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Area of Science:

  • Biomaterials Science
  • Biosensing Technology
  • Analytical Chemistry

Background:

  • Hydrogels are versatile platforms for analyte sensing due to tunable chemistry and biocompatibility.
  • Smart hydrogels exhibit predictable changes in physical properties upon analyte interaction, enabling biosensor functionality.
  • Optical and electrical readouts are key for quantifying hydrogel responses in biological fluids.

Purpose of the Study:

  • To review the advancements in hydrogel-based biosensors for analyte detection.
  • To explore the optical and electrical readout mechanisms employed in hydrogel sensors.
  • To discuss the translational challenges and future opportunities for hydrogel diagnostics.

Main Methods:

  • Review of hydrogel properties and their application in biosensing.
  • Analysis of optical (fluorescence, chemiluminescence, colorimetry) and electrical (conductive fillers, redox-active groups) sensing mechanisms.
  • Discussion of hybrid platforms integrating multiple readout mechanisms for enhanced performance.

Main Results:

  • Hydrogel biosensors demonstrate tunable chemistry, biocompatibility, and responsive properties.
  • Optical and electrical readouts enable quantitative, real-time sensing in biological matrices like sweat and interstitial fluid.
  • Hybrid platforms enhance sensitivity, robustness, and multiplexing capabilities.

Conclusions:

  • Hydrogel-based diagnostics are promising for next-generation, real-time, point-of-care biosensing.
  • Addressing translational challenges like selectivity, stability, and standardization is crucial for clinical integration.
  • Integrating hydrogel sensors with artificial intelligence offers opportunities for improved data interpretation and clinical utility.