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Updated: Jun 3, 2026

A Polyaniline-based Sensor of Nucleic Acids
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Ethanol-assisted multi-sensitive poly(vinyl alcohol) photonic crystal sensor.

Cheng Chen1, Yihua Zhu, Hua Bao

  • 1Key Laboratory for Ultrafine Materials of Ministry of Education, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.

Chemical Communications (Cambridge, England)
|April 5, 2011
PubMed
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A new gelated crystalline colloidal array (GCCA) photonic crystal sensor, created using an ethanol-assisted method, can detect changes in solvent, pH, cation, and strain through visible color shifts. This robust sensor offers a simple, visually discernible response to various stimuli.

Area of Science:

  • Materials Science
  • Nanotechnology
  • Chemical Sensing

Background:

  • Photonic crystals offer unique optical properties.
  • Gelated crystalline colloidal arrays (GCCA) provide a tunable platform for sensing applications.
  • Developing robust sensors with visual readouts is crucial for various monitoring tasks.

Purpose of the Study:

  • To develop a novel ethanol-assisted method for creating GCCA photonic crystal sensors.
  • To investigate the sensor's responsiveness to diverse stimuli including solvent, pH, cation, and compressive strain.
  • To demonstrate a visually detectable color change in response to these stimuli.

Main Methods:

  • Utilized an ethanol-assisted method for synthesizing the GCCA photonic crystal.
  • Functionalized the GCCA sensor to enhance its responsiveness.

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  • Exposed the sensor to various stimuli: solvent, pH changes, cations, and compressive strain.
  • Observed and recorded the resulting color changes in visible light diffraction.

    • Main Results:

    • Successfully generated a robust GCCA photonic crystal sensor.
    • The sensor exhibited efficient diffraction of visible light.
    • Demonstrated distinct colorimetric responses to solvent, pH, cation, and compressive strain.
    • The color changes were easily observable by the naked eye.

    Conclusions:

    • The ethanol-assisted method provides a viable route to robust GCCA photonic crystal sensors.
    • The developed sensor is a versatile and visually responsive tool for detecting multiple stimuli.
    • This technology holds promise for simple, low-cost sensing applications.