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Ion-Imprinted Polymer-on-a-Sensor for Copper Detection.

Zeynep Gerdan1, Yeşeren Saylan2, Mukden Uğur3

  • 1Graduate School of Biomedical Engineering, Istanbul University-Cerrahpaşa, Istanbul 34320, Turkey.

Biosensors
|February 24, 2022
PubMed
Summary

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A novel plasmonic sensor with molecular imprinting was developed for selective copper (Cu(II)) ion detection. This sensor accurately measures Cu(II) in buffer, plasma, and urine, offering a sensitive tool for monitoring copper levels.

Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Biomedical Sensing

Background:

  • Copper (Cu(II)) ions are essential but toxic at high concentrations, necessitating accurate detection methods.
  • Molecular imprinting is a technique used to create specific recognition sites on sensor surfaces.
  • Plasmonic sensors offer high sensitivity for detecting various analytes.

Purpose of the Study:

  • To develop a selective and sensitive plasmonic sensor for real-time detection of copper (Cu(II)) ions.
  • To utilize molecular imprinting to create specific binding sites for Cu(II) on the sensor.
  • To evaluate the sensor's performance in different media.

Main Methods:

  • Fabrication of an ion-imprinted polymer-integrated plasmonic sensor.
  • Characterization of the sensor's properties.
Keywords:
copper detectionion detectionion-imprinted polymerplasmonic sensor

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  • Kinetic, selectivity, and reusability studies for Cu(II) detection.
  • Testing the sensor in buffer solutions, plasma, and urine.

    • Main Results:

    • The developed sensor demonstrated high accuracy (96%) in detecting Cu(II) within the 0.04-5 μM range.
    • Achieved a low limit of detection (0.027 µM) and limit of quantification (0.089 µM).
    • The sensor maintained successful performance in complex biological samples like plasma and urine.

    Conclusions:

    • The molecularly imprinted plasmonic sensor provides a selective and sensitive platform for real-time Cu(II) ion detection.
    • The sensor's ability to function in complex media expands its applicability in biological and environmental monitoring.
    • This technology holds promise for accurate assessment of copper ion levels in various real-world samples.