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Conjugated Polyelectrolyte-Based Sensor Arrays: from Sensing Mechanisms to Artificial Sensory System

Yulei Ke1, Yuanjie Sun1, Anhui Liao1

  • 1The State Key Laboratory of Chemical Oncogenomics, Institute of Biopharmaceutical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, P. R. China.

ACS Applied Materials & Interfaces
|March 6, 2025
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Summary

Conjugated polyelectrolytes (CPEs) create advanced sensor arrays for detecting diverse analytes. These arrays offer high sensitivity and broad applicability in environmental, medical, and food safety applications.

Keywords:
CPE-only sensor arraysconjugated polyelectrolytesdeep learningfluorescent sensinghybrid CPE sensor arrayssensor arrays

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Area of Science:

  • Polymer Science
  • Analytical Chemistry
  • Materials Science

Background:

  • Conjugated polyelectrolytes (CPEs) exhibit unique optical and chemical properties, making them suitable for sensing.
  • CPE-based sensor arrays mimic biological systems for enhanced analyte discrimination.
  • Recent progress has focused on rational design, fabrication, and data processing for CPE sensors.

Purpose of the Study:

  • To review recent advancements in CPE-based sensor arrays.
  • To highlight design strategies, fabrication methods, and data processing techniques.
  • To showcase the diverse applications of CPE sensor arrays.

Main Methods:

  • Review of literature on CPE fluorescence sensing.
  • Analysis of design principles for CPE sensor array units.
  • Examination of data processing methodologies for complex mixtures.

Main Results:

  • CPE sensor arrays demonstrate high sensitivity and selectivity for various analytes.
  • Applications span environmental monitoring, medical diagnostics, and food safety.
  • Effective data processing enables discrimination of complex samples.

Conclusions:

  • CPE sensor arrays represent a powerful tool for chemical sensing.
  • Continued research in design and data analysis will expand their utility.
  • These sensors hold significant promise for real-world applications.