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Field-effect transition sensor for KI detection based on self-assembled calixtube monolayers.

Kirill Puchnin1, Mariia Andrianova2, Alexander Kuznetsov2

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Novel calixarene-based tubes form self-assembled monolayers for highly selective potassium iodide (KI) sensors. These sensors detect KI in artificial saliva, showing potential for biological fluid analysis.

Keywords:
CalixareneHost-guest systemISFETPotassium iodideSelf-assembled monolayerThin film

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Analytical Chemistry

Background:

  • Calixarene-based materials offer unique structural properties for surface modification.
  • Self-assembled monolayers (SAMs) are crucial for creating functionalized surfaces.
  • Ion-selective sensors require precise surface chemistry for high selectivity.

Purpose of the Study:

  • To synthesize novel calixarene-based tubes with silatrane anchoring groups.
  • To form and characterize the first SAM derived from calixtubes on a SiO2 surface.
  • To develop a highly selective potassium iodide (KI) sensor using the modified surface.

Main Methods:

  • Synthesis of calixarene-based tubes with varying silatrane groups.
  • Formation of SAM on SiO2 surface and characterization using XPS, SEM-EDX, and contact angle measurements.
  • Fabrication and testing of an ion-selective field-effect transistor (ISFET) based sensor.

Main Results:

  • Successful formation of a calixtube-derived SAM on SiO2.
  • The developed sensor demonstrated high selectivity for KI over other alkali metal iodides and potassium salts.
  • Detection of KI in artificial saliva with a limit of detection of approximately 3 × 10^-8 M.
  • Enhanced detection limits achieved by integrating the sensor with a microfluidic system.

Conclusions:

  • The novel calixtube-derived SAM is effective for creating sensitive and selective ISFET-based sensors.
  • The sensor exhibits significant potential for detecting KI in biological and human body fluids.
  • Integration with microfluidics further enhances the sensor's performance for trace analysis.